Research Publications

1. Aggarwal, Sajal, Geetanjali Bhola, and Dinesh Kumar Vishwakarma. "Weighted voting ensemble of hybrid CNN-LSTM Models for vision-based human activity recognition." Multimedia Tools and Applications (2024): 1-39.

2. Aggarwal, Sajal, and Dinesh Kumar Vishwakarma. "Exposing the Achilles’ heel of textual hate speech classifiers using indistinguishable adversarial examples." Expert Systems with Applications (2024): 124278.

3. A. Bajaj, D.K. Vishwaakrma, "Non-Alpha-Num: a novel architecture for generating adversarial examples for bypassing NLP-based clickbait detection mechanisms"  in International Journal of Information Security, 2024.

4. Gupta V, Yadav A, Vishwakarma DK. HumanPoseNet: An all-transformer architecture for pose estimation with efficient patch expansion and attentional feature refinement. Expert Systems with Applications. 2024 Jun 15;244:122894.

5. Narula M, Meena J, Vishwakarma DK. A comprehensive review on Federated Learning for Data-Sensitive Application: Open issues & challenges. Engineering Applications of Artificial Intelligence. 2024 Jul 1;133:108128.

6. Gupta, Shaurya, Dinesh Kumar Vishwakarma, and Nitin Kumar Puri. "A human activity recognition framework in videos using segmented human subject focus." The Visual Computer (2024): 1-17.

7. Verma, Abhishek, Virender Ranga, and Dinesh Kumar Vishwakarma. "BREATH-Net: a novel deep learning framework for NO2 prediction using bi-directional encoder with transformer." Environmental Monitoring and Assessment 196, no. 4 (2024): 340.

8. Ananya Pandey, Dinesh K. Vishwakarma, "Progress, Achievements, and Challenges in Multimodal Sentiment Analysis using Deep Learning: A Survey", Applied Soft Computing, Vol. 152, Feb, 2024, 111206. Impact Factor: 8.7(2023)

9. A. Yadav, D. Gupta, Dinesh Kumar Vishwakarma, "Towards Effective Image Forensics via A Novel Computationally Efficient Framework and A New Image Splice Dataset " Signal, Image, Video Processing, 2024. Impact Factor: 2.3(2023)

10. Ashish Bajaj, Dinesh Kumar Vishwakarma, "A State-of-the-art review on Adversarial Machine Learning in Image Classification" Multimedia Tools and Applications, Vol. 83, pp.9351–9416, (2024).Impact Factor: 2.57 (2022)

11.  Bhola, Geetanjali, and Dinesh Kumar Vishwakarma. "A review of vision-based indoor HAR: state-of-the-art, challenges, and future prospects." Multimedia Tools and Applications,  83, pages 1965–2005, (2024). Impact Factor: 2.57 (2022)

12. V. Gupta, A. Yadav, Dinesh Kumar Vishwakarma, "HumanPoseNet: An all-transformer architecture for pose estimation with efficient patch expansion and attentional feature refinement, " Expert Systems with Applications, Vol.244, 15 June 2024, 122894. Impact Factor: 8.5(2023)

13. A. Yadav, Dinesh Kumar Vishwakarma, "AW-MSA: Adaptively weighted multi-scale attentional features for DeepFake detection", Engineering Applications of Artificial Intelligence, Volume 127, Part B, 2024, Impact Factor: 8.0 (2023)

14. Ashish Bajaj, Dinesh Kumar Vishwakarma, "Evading text based emotion detection mechanism via adversarial attacks," Neurocomputing, Volume 558, 2023, 126787, Impact Factor: 6.0(2023)

15. K. Chaturvedi, C. Dhiman, D. K. Vishwakarma "Fight detection with spatial and channel wise attention-based ConvLSTM model", in  Expert Systems, Vol. 41, No. 1, 2024. Impact Factor: 3.3 (2023)

16. A. Yadav, Dinesh Kumar Vishwakarma, "MRT-Net: Auto-adaptive weighting of manipulation residuals and texture clues for face manipulation detection" Expert Systems with Applications, Vol. 232, 2023, Impact Factor: 8.5(2023)

17. A. Yadav, D. Gupta, Dinesh Kumar Vishwakarma, "Uncovering visual attention-based multi-level tampering traces for face forgery detection" Signal, Image, Video Processing, 2023. Impact Factor: 2.3(2023)

18. Verma, A., Ranga, V. & Vishwakarma, D.K. A novel approach for forecasting PM2.5 pollution in Delhi using CATALYST. Environ Monit Assess 195, 1457 (2023). Impact Factor: 3.0(2023)

19. I. Khatri, A. Choudhry, A. Rao, A. Tyagi, Dinesh Kumar Vishwakarma, M. Prasad "Influence Maximization in social networks using discretized Harris’ Hawks Optimization algorithm" Applied Soft Computing, Volume 149, Part B, 2023. Impact Factor: 8.7(2023)

20. A. Chhabra, D.K. Vishwakarma, "Multimodal hate speech detection via multi-scale visual kernels and knowledge distillation architecture" in  Engineering Applications of Artificial Intelligence, 2023, 126, 106991.Impact Factor: 8 (2023) 

21. A. Bajaj and D.K. Vishwakarma, "HOMOCHAR: A novel adversarial attack framework for exposing the vulnerability of text based neural sentiment classifiers" Engineering Applications of Artificial Intelligence. 2023 Nov 1;126:106815. Impact Factor: 8 (2023)

22. Gaur M, Chaturvedi K, Vishwakarma DK, Ramasamy S, Prasad M. Self-supervised ensembled learning for autism spectrum classification. Research in Autism Spectrum Disorders. Vol. 107, September 2023, 102223. Impact Factor: 2.5 (2023)

23. Ankit Yadav and Dinesh Kumar Vishwakarma "Deep Learning Algorithms for Person Re-Identification: Sate-of-the-art and Research Challenges ." Multimedia Tools and Applications (2023). Impact Factor: 3.6 (2023)

24. Priyanka Meel, Dinesh Kumar Vishwakarma,"Multi-modal Fusion using Fine-tuned Self-attention and Transfer Learning for Veracity Analysis of Web Information"Expert Systems with Applications, 2023, 229, , https://doi.org/10.1016/j.eswa.2023.120537. Impact Factor: 8.5 (2023)

25. Ananya Pandey, Dinesh Kumar Vishwakarma, "VABDC-Net: A framework for Visual-Caption Sentiment Recognition via spatio-depth visual attention and bi-directional caption processing", Knowledge-Based Systems, Vol. 269, 2023, https://doi.org/10.1016/j.knosys.2023.110515. Impact Factor: 8.139 (2022)

26. Anusha Chhabra, Dinesh Kumar Vishwakarma, A literature survey on multimodal and multilingual automatic hate speech identification. Multimedia Systems 29, 1203–1230 (2023).  

27. Dinesh Kumar Vishwakarma, Priyanka Meel, Ashima Yadav, and Kuldeep Singh. "A framework of fake news detection on web platform using ConvNet." Social Network Analysis and Mining 13, no. 1 (2023): 1-14. 

28. Arjun Choudhry, Inder Khatri, Minni Jain, Dinesh Kumar Vishwakarma, "An Emotion-Aware Multi-Task Approach to Fake News and Rumor Detection using Transfer Learning", in IEEE Transactions on Computational Social Systems, Vol. xx, pp. xxxx-xxxx, 2023, Impact Factor: 4.747.

29. Deepika Varshney, and Dinesh Kumar Vishwakarma "An Automated Multi-Web Platform Voting Framework to Predict Misleading Information Proliferated during COVID-19 Outbreak using Ensemble Method", Data & Knowledge Engineering,  Vol. 269, 2023. Impact Factor: 1.5(2021). 

30. Ashima Yadav, Dinesh Kumar Vishwakarma, "A Deep Multi-Level Attentive network for Multimodal Sentiment Analysis" ACM Transactions on Multimedia Computing Communications and Applications", Vol. 19, 1, 2023. Impact Factor: 4.094 (2022)

31. Deepika Varshney, and Dinesh Kumar Vishwakarma, "A Framework for Detection of Probable Clues to Predict Misleading Information Proliferated during COVID-19 Outbreak" Neural Computing and Applications, Vol. 35, pp. 5999–6013, 2023. Impact Factor: 5.606 (2021). 

32. Ayush Tanwar, Dinesh Kumar Vishwakarma, "A Deep Neural Network-based Hybrid Recommender System with User-user Networks ", Multimedia Tools and Applications, Vol.82, (10), 15613-15633, 2023. Impact Factor: 2.577 (2022). 

33. Shaurya Gupta, Dinesh Kumar Vishwakarma, "HISNet: A Human Image Segmentation Network aiding Bokeh Effect Generation", Multimedia Tools and Applications, Vol. 82, pp. 12469-12492, 2023. Impact Factor: 2.577 (2022).  

34. N. Gautam, Dinesh Kumar Vishwakarma "Obscenity Detection in Videos through a Sequential ConvNet Pipeline Classifier", IEEE Transactions on Cognitive and Development Systems, Vol. 15, 1, pp. 310-318, 2023. DOI:10.1109/TCDS.2022.3158613, Impact Factor: 3.379 (2021). 

35. Deepak Dagar, and Dinesh Kumar Vishwakarma, "A Literature Review and Perspectives in Deepfakes: Generation, Detection, and Applications ", International Journal of Multimedia Information Retrieval, Vol. 11, pp. 219-289 (2022). Impact Factor: 3.205 (2021), (Pub: Springer).

36. Deepika Varshney, and Dinesh Kumar Vishwakarma, "A Unified Approach of Detecting Misleading Images via Tracing its Instances on Web and Analysing its Past Context for the Verification of Multimedia Content ", International Journal of Multimedia Information Retrieval, Vol. 11, pp. 445-459 (2022). Impact Factor: 3.205 (2021), (Pub: Springer).

37. Mohammad Sabih, Dinesh Kumar Vishwakarma, "A Novel Framework for detection of motion and appearance-based Anomaly using Ensemble Learning and LSTMs" Expert Systems with Applications, Vol. 192, 2022.  Impact Factor: 6.954 (2021). (Pub.: Elsevier). 

38. Ashima Yadav, Dinesh Kumar Vishwakarma "A Language-independent Network to analyze the impact of COVID-19 on the World via Sentiment Analysis", ACM Transactions on Internet Technology, Vol. 22 (1), pp. 1-30, September 2021. Impact Factor: 3.13, 2021.

39. K. Singh, C. Dhiman, Dinesh Kumar Vishwakarma, H.Makhija , G.S. Walia "Sparse Coded Composite Descriptor for Human Activity Recognition", Expert Systems, Vol. 39, No.1, pp.. 1-19, 2022. Impact Factor: 2.587 (2021). (Pub.: Wiley).

40. Mohammad Sabih, Dinesh Kumar Vishwakarma, "Crowd Anomaly Detection with LSTMs Using Optical Features and Domain Knowledge for Improved Inferring" , The Visual Computer, Vol. 38, pp. 1719-17330, 2022. Impact Factor: 2.601 (2021), (Pub: Springer).

41. Tej Singh, Dinesh Kumar Vishwakarma "A deep multimodal network based on bottleneck layer features fusion for action recognition", Multimedia Tools and Applications, Vol. 80, pp. 33505–33525, 2021. Impact Factor: 2.757, 2021, (Pub.: Springer)

42. G. Tripathi, K. Singh, Dinesh Kumar Vishwakarma, "Applied convolutional neural network framework for tagging healthcare systems in crowd protest environment" Mathematical Biosciences and Engineering, Vol. 18, No. 6, 2021. Impact Factor: 2.080 (2021).

43. Priyanka Meel, Dinesh Kumar Vishwakarma, "A Temporal Ensembling based Semi supervised ConvNet for the Detection of Fake News Articles"  Expert Systems with Applications, Vol. 177, 2021.  Impact Factor: 6.954 (2021). (Pub.: Elsevier).

44. Dinesh Kumar Vishwakarma, Konark Jain, "3D Human Activity Recognition by Forming a Movement Polygon using Posture Skeletal Data from Depth Sensor", ETRI Journal, Vol. 44, No. 2, pp. 286-299, 2022. Impact Factor: 1.62, (Pub: Wiley).

45. Priyanka Meel, Dinesh Kumar Vishwakarma, "HAN, Image Captioning, and Forensics Ensemble Multimodal Fake News Detection", Information Sciences, Vol. 567, pp.23-41, August 2021. Impact Factor: 6.795 (2021), (Pub: Elsevier).

46. Chhavi Dhiman, Dinesh Kumar Vishwakarma, and Paras Aggarwal, "Part-wise Spatio-temporal Attention Driven CNN based 3D Human Action Recognition” ACM Transactions on Multimedia Computing Communications and Applications", Vol. 17 (3), 86, 2021. Impact Factor: 3.144 (2021)

47. Deepika Varshney, and Dinesh Kumar Vishwakarma, "Hoax News-Inspector: A Real-Time Prediction of Fake News using Content Resemblance over Web Search Results for Authenticating the Credibility of News Articles", Journal of Ambient Intelligence and Humanized Computing, Vol. 11, pp. 8961–8974 (2021). Impact Factor: 7.104 (2021), (Pub: Springer).

48. Kunal Chaturvedi, Dinesh Kumar Vishwakarma, Nidhi, "COVID-19 and its impact on education, social life and mental health of students: A Survey" Children and Youth Services Review, Vol. 121, February 2021. Impact Factor: 2.393 (2021). (Pub: Elsevier). 

49. Deepika Varshney, Dinesh Kumar Vishwakarma "A Review on Rumour Prediction and Veracity Assessment in Online Social Network",  Expert Systems with Applications, Vol. 168, April 2021. Impact Factor: 6.954 (2021). (Pub.: Elsevier).

50. Deepika Varshney, Dinesh Kumar Vishwakarma "A Unified Approach for Detection of Clickbait Videos on YouTube using Cognitive Evidences" ,  Applied Intelligence, Vol. 51, pp. 4214-4235, 2021. Impact Factor: 5.086 (2021), (Pub: Springer)

51. Ashima Yadav, Dinesh Kumar Vishwakarma "A Unified Framework of Deep Networks for Genre Classification using Movie Trailer", Applied Soft Computing,  Vol.96, pp. 1-14, November 2020. Impact Factor: 6.725 (2021), (Pub: Elsevier)

52. Tej Singh, Dinesh Kumar Vishwakarma, "A Deeply Coupled ConvNet for Human Activity Recognition using Dynamic and RGB Images", Neural Computing and Applications, Vol. 33, pp. 469-485, 2021, (Pub: Springer). Impact Factor: 5.606 (2021).

53. Ashima Yadav, Dinesh Kumar Vishwakarma, "A Deep Learning Architecture of RA-DLNet for Visual Sentiment Analysis", Multimedia Systems, Vol. 26, No. 4, pp. 431–451, 2020, (Pub: Springer).Impact Factor: 1.935 (2021).

54. Ashima Yadav, Dinesh Kumar Vishwakarma, "A Comparative Study on Bio-Inspired Algorithms for Sentiment Analysis", Cluster Computing, Vol. 23, pp. 2969-2989, 2020, (Pub: Springer Nature).Impact Factor: 1.809 (2021).

55. Chhavi Dhiman, Dinesh Kumar Vishwakarma, "View-invariant Deep Architecture for Human Action Recognition using Two-stream Motion and Shape Temporal Dynamics", IEEE Transactions on Image Processing, Vol. 29, pp. 3835-3844, 2020. Impact Factor: 10.856 (2021).

56. Dinesh Kumar Vishwakarma, "A Two-fold Transformation Model for Human Action Recognition using Decisive Pose", Cognitive Systems Research,  Vol.61, pp. 1-13, June 2020. Impact Factor: 3.532 (2021) (Pub: Elsevier)

57. Ashima Yadav, Dinesh Kumar Vishwakarma "Sentiment Analysis using Deep Learning Architectures: A Review", Artificial Intelligence Review, Vol. 53, pp. 4335-4385, 2020. Impact Factor: 8.139 (2021) (Pub: Springer Nature).

58. Priyanka Meel, Dinesh Kumar Vishwakarma, "Fake News, Rumour, Information Pollution in Social Media and Web: A Contemporary Survey of State-of-the-arts, Challenges and Opportunities"  Expert Systems with Applications, Vol. 153, pp. 1-26, 2020.  Impact Factor: 6.954 (2021). (Pub.: Elsevier).

59. K. Singh, S. Rajora, Dinesh Kumar Vishwakarma,G. Tripathi, S. Kumar, G.S. Walia "Crowd Anomaly Detection using Aggregation of Ensembles of Fine-Tuned ConvNets", Neurocomputing, Vol. 371, pp. 188-198, 2020. Impact Factor: 5.719 (2021), (Pub: Elsevier)

60. G. Tripathi, K. Singh, Dinesh Kumar Vishwakarma, "Violence recognition using convolutional neural network: A survey", Journal of Intelligent & Fuzzy Systems, Vol. 39, No. 05, pp. 7931-7952, 2020. Impact Factor: 1.851

61. Dinesh Kumar Vishwakarma, D. Varshney, A. Yadav, "Detection and Veracity analysis of Fake News via Scrapping and Authenticating the Web Search", Cognitive Systems Research,  Vol. 58, pp. 217-229, 2019. Impact Factor: 3.532 (2021), (Pub: Elsevier)

62. Dinesh Kumar Vishwakarma, T. Singh, "A Visual Cognizance Based Multi-Resolution Descriptor for Human Action Recognition using Key Pose", International Journal of Electronics and Communications, Vol. 107, pp. 513-521, 2019, Impact Factor: 3.12 (2021), (Pub: Elsevier)

63. C. Dhiman, Dinesh Kumar Vishwakarma, "A Robust Framework for Abnormal Human Action Recognition using R-Transform and Zernike Moments in Depth Videos", IEEE Sensors Journal, Vol. 19, No. 13, pp. 5195 - 5203, 2019.Impact Factor: 3.3 (2021)

64. C. Dhiman, Dinesh Kumar Vishwakarma "A review of state-of-the-art techniques of Abnormal Human Activity Recognition", Engineering Applications of Artificial Intelligence, Vol. 77, pp. 21-45. 2019. Impact Factor: 6.21(2021) (Pub: Elsevier).

65. T. Singh, Dinesh Kumar Vishwakarma "Video Benchmarks of Human Action Datasets: A Review", Artificial Intelligence Review, Vol. 52, No. 2, pp. 1107–1154, 2019. Impact Factor: 8.139 (2021) (Pub: Springer Nature, Nature Publishing Group).

66. Dinesh Kumar Vishwakarma, C. Dhiman, "A unified model for human activity recognition using spatial distribution of gradients and difference of Gaussian kernel" The Visual Computers, Vol. 35, no. 11, pp. 1595–1613, 2019, Impact Factor: 2.601 (2021) (Pub.: Springer Nature).

67. G. Tripathi, K. Singh, Dinesh Kumar Vishwakarma, "Convolutional neural networks for crowd behaviour analysis: a survey" The Visual Computers, Vol. 35, No. 5, pp. 753-776, May 2019. Impact Factor: 2.601 (2021) (Pub.: Springer Nature).

68. K. Singh, Dinesh Kumar Vishwakarma, G.S. Walia, "Blind image deblurring via gradient orientation based clustered coupled sparse dictionary", Pattern Analysis and Applications, Vol. 22, No. 2, pp. 549-558, May 2019.  Impact Factor: 2.580 (2021).(Pub.: Springer)

69. Dinesh Kumar Vishwakarma, S. Upadhyay, "A Deep Structure of Person Re-Identification using Multi-Level Gaussian Models", IEEE Transactions on Multi-Scale Computing Systems, Vol. 4, No. 4, pp. 513-521, 2018 Cite Score: 6.03 (2021).

70. H. Aggarwal, Dinesh Kumar Vishwakarma "Covariate conscious approach for Gait recognition based upon Zernike moment invariants", IEEE Transactions on Cognitive and Development Systems, Vol. 10, No. 2, pp. 397-407, 2018. DOI:10.1109/TCDS.2017.2658674, Impact Factor: 3.379 (2021).

71. Dinesh Kumar Vishwakarma and K. Singh, "Human Activity Recognition Based on Spatial Distribution of Gradients at Sublevels of Average Energy Silhouette Images," in IEEE Transactions on Cognitive and Developmental Systems, vol. 9, no. 4, pp. 316-327, Dec. 2017. DOI: 10.1109/TCDS.2016.2577044, Impact Factor: 3.379 (2021).

72. Kuldeep Singh, Dinesh Kumar Vishwakarma, G.S. Walia, R. Kapoor "Contrast enhancement via texture region based histogram equalization", Journal of Modern Optics, Vol.63, No. 15, pp. 1444-1450, 2016. Impact Factor: 1.464 (2021), DOI: 10.1080/09500340.2016.1154194 (Pub.: Taylor & Francis).

73. Dinesh Kumar Vishwakarma, R. Kapoor, A. Dhiman "A unified framework for human activity recognition: An approach using spatial edge distribution and ℜ-Transform", International Journal of Electronics and Communication (AEÜ), Vol. 70, No. 3, pp. 341-353, 2016. Impact Factor: 3.183 (2021), DOI: 10.1016/j.aeue.2015.12.016 (Pub.: Elsevier).

74. Dinesh Kumar Vishwakarma, R. Kapoor, A. Dhiman "A proposed framework for the recognition of human activity by exploiting the characteristics of action dynamics", Robotics and Autonomous System, Vol. 77, pp. 25-38, 2016. Impact Factor: 3.12 (2021), DOI: 10.1016/j.robot.2015.11.013 (Pub.: Elsevier).

75. Dinesh Kumar Vishwakarma, Rajiv Kapoor, "An Efficient Interpretation of Hand Gestures to Control Smart Interactive Television" International Journal of Computational Vision and Robotics, Vol. 7, No. 4, pp. 454-471. July, 2015, Cite Score: 0.51. https://doi.org/10.1504/IJCVR.2017.084991.

76. Dinesh Kumar Vishwakarma, Rajiv Kapoor, "Integrated Approach for Human Action Recognition using Edge Spatial Distribution, Direction Pixel, and R -Transform", Advanced Robotics, Vol. 29, No. 23, pp. 1551-1561, 2015. Impact Factor: 1.247, Impact Factor: 1.699 (2021) DOI:10.1080/01691864.2015.1061701. (Pub.: Taylor & Francis).

77. Dinesh Kumar Vishwakarma, Rajiv Kapoor, “Hybrid classifier based human activity recognition using the silhouette and cells”, Expert Systems with Applications, Vol. 42, No. 20, pp. 6957–6965, 2015.  Impact Factor: 6.954 (2021). (Pub.: Elsevier).

1. Narula, Manu, Jasraj Meena, and Dinesh Kumar Vishwakarma. "Dynamic Resource-Aware Federated Framework for Secure and Sustainable Learning in Data Sensitive Applications." 2024 IEEE 9th International Conference for Convergence in Technology (I2CT). IEEE, 2024.

2. Verma, Bhavana, Priyanka Meel, and Dinesh Kumar Vishwakarma. "Visual Sentiment Recognition via Popular Deep Models on the Memotion Dataset." 2024 IEEE 9th International Conference for Convergence in Technology (I2CT). IEEE, 2024.

3. Bajaj, Ashish, and Dinesh Kumar Vishwakarma. "ARG-Net: Adversarial Robust Generalized Network to Defend Against Word-Level Textual Adversarial Attacks." 2024 IEEE 9th International Conference for Convergence in Technology (I2CT). IEEE, 2024.

4. Rao A, Singh P, Vishwakarma DK, Prasad M. DQSSA: A Quantum-Inspired Solution for Maximizing Influence in Online Social Networks (Student Abstract). InProceedings of the AAAI Conference on Artificial Intelligence 2024 Mar 24 (Vol. 38, No. 21, pp. 23628-23630).

5. Kumar Y, Saria P, Bhandari V, Vishwakarma DK. Smart trainer: Combining video analysis and deep learning for efficient and accurate gym exercise classification and form correction. InAIP Conference Proceedings 2024 Mar 19 (Vol. 3072, No. 1). AIP Publishing.

6. Patel D, Setu K, Sharma R, Vishwakarma DK. Android based application for locating a missing person. InAIP Conference Proceedings 2024 Mar 19 (Vol. 3072, No. 1). AIP Publishing.

7. Verma, Abhishek, Virender Ranga, and Dinesh Kumar Vishwakarma. "Combating Respiratory Health Issues with Intelligent NO2 Level Prediction from Sentinel 5P Satellite." In 2023 IEEE 20th India Council International Conference (INDICON), pp. 882-886. IEEE, 2023.

8. A. Chhabra and D. K. Vishwakarma, "Fuzzy and Machine learning Classifiers for Hate Content Detection: A Comparative Analysis," 2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST), Delhi, India, 2022, pp. 1-4, doi: 10.1109/AIST55798.2022.10064822.

9. N. Aggarwal, Anunay, V. Jain, T. Singh and D. K. Vishwakarma, "DLVS: Time Series Architecture for Image-Based Visual Servoing," 2023 8th International Conference on Control and Robotics Engineering (ICCRE), Niigata, Japan, 2023, pp. 101-107, doi: 10.1109/ICCRE57112.2023.10155585.

10. P. K. Sehrawat, R. Kumar, N. Kumar and D. K. Vishwakarma, "Deception Detection using a Multimodal Stacked Bi-LSTM Model," 2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA), Uttarakhand, India, 2023, pp. 318-326, doi: 10.1109/ICIDCA56705.2023.10099779.

11. A. Bajaj and D. K. Vishwakarma, "Bypassing Deep Learning based Sentiment Analysis from Business Reviews," 2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN), Vellore, India, 2023, pp. 1-6, doi: 10.1109/ViTECoN58111.2023.10157098.

12. Chakraborty, A., Khatri, I., Choudhry, A., Gupta, P., Vishwakarma, D.K. and Prasad, M., 2023, June. An Emotion-Guided Approach to Domain Adaptive Fake News Detection Using Adversarial Learning (Student Abstract). In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 37, No. 13, pp. 16178-16179). 

13. Khatri, I., Gupta, A., Choudhry, A., Tyagi, A., Vishwakarma, D.K. and Prasad, M., 2023, June. CKS: A Community-Based K-shell Decomposition Approach Using Community Bridge Nodes for Influence Maximization (Student Abstract). In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 37, No. 13, pp. 16240-16241). 

14. A. Choudhry, P. Gupta, I. Khatri, A. Gupta, M. Nicol, M. Meurs, and D.K. Vishwakarma. "Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora (Student Abstract)." In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 37, no. 13, pp. 16196-16197. 2023. 

15. A. Chhabra and D. K. Vishwakarma, "A Truncated SVD Framework for Online Hate Speech Detection on the ETHOS Dataset," 2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT), Kottayam, India, 2023, pp. 1-4, doi: 10.1109/ICITIIT57246.2023.10068574.

16. A. Bajaj and D. K. Vishwakarma, "Exposing the Vulnerabilities of Deep Learning Models in News Classification," 2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT), Kottayam, India, 2023, pp. 1-5, doi: 10.1109/ICITIIT57246.2023.10068577.

17. A. Pandey and D. K. Vishwakarma, "Attention-based Model for Multi-modal sentiment recognition using Text-Image Pairs," 2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT), Kottayam, India, 2023, pp. 1-5, doi: 10.1109/ICITIIT57246.2023.10068626.

18. A. Verma, V. Ranga and D. K. Vishwakarma, "Forecasting of Satellite Based Carbon-Monoxide Time-Series Data Using a Deep Learning Approach," 2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT), Kottayam, India, 2023, pp. 1-4, doi: 10.1109/ICITIIT57246.2023.10068609.

19. S. Yadav, S. Bommareddy and D. K. Vishwakarma, "Robust and Generalized DeepFake Detection," 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT), Kharagpur, India, 2022, pp. 1-6, doi: 10.1109/ICCCNT54827.2022.9984553.

20. A. Dutta, A. Jha, R. Rao and D. K. Vishwakarma, "Real-time Vehicle Detection, Classification & Tracing Using State-Of-The-Art Dataset," 2022 3rd International Conference for Emerging Technology (INCET), 2022, pp. 1-8, doi: 10.1109/INCET54531.2022.9824516.

21. M. Kumar, M. Badola, N. Sweety and D. K. Vishwakarma, "Analyzing Major Indian Protests using Nature Inspired Algorithms," 2022 3rd International Conference for Emerging Technology (INCET), 2022, pp. 1-6, doi: 10.1109/INCET54531.2022.9824759. 

22. D. Jadeja, A. Khetri, A. Mittal and D. K. Vishwakarma, "Comparative Analysis of Transformer Models on WikiHow Dataset," 2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS), 2022, pp. 655-658, doi: 10.1109/ICSCDS53736.2022.9761043.

23. A. K. Jha, A. Batra, A. Dubey and D. K. Vishwakarma, "Multimodal and Multilabel Genre Classification of Movie Trailers," 2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS), 2022, pp. 1641-1646, doi: 10.1109/ICSCDS53736.2022.9760773.

24. A. Gupta, N. Gautam and D. K. Vishwakarma, "Ensemble Learning using Vision Transformer and Convolutional Networks for Person Re-ID," 2022 6th International Conference on Computing Methodologies and Communication (ICCMC), 2022, pp. 1571-1576, doi: 10.1109/ICCMC53470.2022.9753761.

25. S. Gupta, D. K. Vishwakarma and N. K. Puri, "Leveraging Human Segmentation Guided Frames in Videos for Activity Recognition," 2022 6th International Conference on Computing Methodologies and Communication (ICCMC), 2022, pp. 1406-1411, doi: 10.1109/ICCMC53470.2022.9754159.

26. P. K. Sehrawat and D. K. Vishwakarma, "Comparative Analysis of Time Series Models on COVID-19 Predictions," 2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS), 2022, pp. 710-715, doi: 10.1109/ICSCDS53736.2022.9760992.

27. Divesh, G. Prasad, G. Sharma and D. K. Vishwakarma, "Sentiment Analysis on Cryptocurrency using Youtube Comments," 2022 6th International Conference on Computing Methodologies and Communication (ICCMC), 2022, pp. 730-733, doi: 10.1109/ICCMC53470.2022.9753723.

28. M. Sabih, D. K. Vishwakarma and N. Kumar, "Exploring Novel Optical Properties with Attention Mechanism for Gait Recognition," 2022 6th International Conference on Computing Methodologies and Communication (ICCMC), 2022, pp. 687-692, doi: 10.1109/ICCMC53470.2022.9754051.

29. A. Gahalout, and D.K. Vishwakarma, "Gender Classification Using Gait Energy Images and One-Shot Learning" in an International Conference on Computer Vision and Robotics, Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-8225-4_22

30. D. K. Vishwakarma, A. Singh, A. Kushwaha and A. Sharma, "Comparative Study on Influence of Moon's Phases in Rainfall Prediction," 2021 2nd Global Conference for Advancement in Technology (GCAT), 2021, pp. 1-8, doi: 10.1109/GCAT52182.2021.9587582.

31. H. Raj and D. D. K. Vishwakarma, "Detection of Covid-19 in Chest X-ray Image using Convolutional Neural Network," 2021 2nd Global Conference for Advancement in Technology (GCAT), 2021, pp. 1-5, doi: 10.1109/GCAT52182.2021.9587725.

32. K. Chaturvedi, A. Braytee, D. K. Vishwakarma, M. Saqib, D. Mery and M. Prasad, "Automated Threat Objects Detection with Synthetic Data for Real-Time X-ray Baggage Inspection," 2021 International Joint Conference on Neural Networks (IJCNN), 2021, pp. 1-8, doi: 10.1109/IJCNN52387.2021.9533928.

33. A. Jain, A. Sethi, D. K. Vishwakarma and A. Jain, "Ensembled Neural Network for Static Hand Gesture Recognition," 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2021, pp. 1-5, doi: 10.1109/ICCCNT51525.2021.9579633.

34. A. Dutta and D. K. Vishwakarma, "Personalized Music Recommendation System based on Streamer Streaming Trends," 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2021, pp. 1-7, doi: 10.1109/ICCCNT51525.2021.9580113.

35. D. Varshney and D. K. Vishwakarma, "Analysing and Identifying Crucial Evidences for the prediction of False Information proliferated during COVID-19 Outbreak: A Case Study," 2021 8th International Conference on Smart Computing and Communications (ICSCC), 2021, pp. 47-51, doi: 10.1109/ICSCC51209.2021.9528205.

36. D. Goel, S. Jain, D. Kumar Vishwakarma and A. Bansal, "Automatic Image Colorization using U-Net," 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2021, pp. 01-07, doi: 10.1109/ICCCNT51525.2021.9580001.

37. A. Kumar, A. Choudhary, A. Kumar and D. K. Vishwakarma, "Classification and Comparison of Covid-19 Patients," 2021 International Conference on Design Innovations for 3Cs Compute Communicate Control (ICDI3C), 2021, pp. 65-70, doi: 10.1109/ICDI3C53598.2021.00022.

38. A. Sharma, M. Jindal, A. Mittal and D. K. Vishwakarma, "A Unified Audio Analysis Framework For Movie Genre Classification Using Movie Trailers," 2021 International Conference on Emerging Smart Computing and Informatics (ESCI), 2021, pp. 510-515, doi: 10.1109/ESCI50559.2021.9396892.

39. M. Jain, P. Mowar, R. Goel and D. K. Vishwakarma, "Clickbait in Social Media: Detection and Analysis of the Bait," 2021 55th Annual Conference on Information Sciences and Systems (CISS), 2021, pp. 1-6, doi: 10.1109/CISS50987.2021.9400293.

40. A. Singhal, A. Maan, D. Chaudhary and D. Vishwakarma, "A Hybrid Machine Learning and Data Mining Based Approach to Network Intrusion Detection," 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS), 2021, pp. 312-318, doi: 10.1109/ICAIS50930.2021.9395918.

41. P. Malik, A. Aggrawal and D. K. Vishwakarma, "Toxic Speech Detection using Traditional Machine Learning Models and BERT and fastText Embedding with Deep Neural Networks," 2021 5th International Conference on Computing Methodologies and Communication (ICCMC), 2021, pp. 1254-1259, doi: 10.1109/ICCMC51019.2021.9418395.

42. A. Kumar, A. Mudgil, N. Dodeja and D. K. Vishwakarma, "Realistic face generation using a textual description," 2021 5th International Conference on Computing Methodologies and Communication (ICCMC), 2021, pp. 917-922, doi: 10.1109/ICCMC51019.2021.9418040.

43. M. Bansal, S. Yadav and D. K. Vishwakarma, "A Language-Independent Speech Sentiment Analysis Using Prosodic Features," 2021 5th International Conference on Computing Methodologies and Communication (ICCMC), 2021, pp. 1210-1216, doi: 10.1109/ICCMC51019.2021.9418357.

44. R. K. Singh, P. V. Sarda, S. Aggarwal and D. K. Vishwakarma, "Demystifying deepfakes using deep learning," 2021 5th International Conference on Computing Methodologies and Communication (ICCMC), 2021, pp. 1290-1298, doi: 10.1109/ICCMC51019.2021.9418477.

45. V. Jain, V. Kumar, V. Pal and D. K. Vishwakarma, "Detection of Cyberbullying on Social Media Using Machine learning," 2021 5th International Conference on Computing Methodologies and Communication (ICCMC), 2021, pp. 1091-1096, doi: 10.1109/ICCMC51019.2021.9418254.

46. S. Singh, P. Sapra, A. Garg and D. K. Vishwakarma, "CNN based Covid-aid: Covid 19 Detection using Chest X-ray," 2021 5th International Conference on Computing Methodologies and Communication (ICCMC), 2021, pp. 1791-1797, doi: 10.1109/ICCMC51019.2021.9418407.

47. A. Bajaj, H. Nimesh, R. Sareen and D. K. Vishwakarma, "A Comparative Analysis Of Classifiers Used For Detection of Clickbait In News Headlines," 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS), 2021, pp. 1410-1415, doi: 10.1109/ICICCS51141.2021.9432123.

48. K. Chaturvedi, T. Kansal, S. Gupta, D. K. Vishwakarma and N. Deo, "COVID-19 Severity Assessment from Chest X-rays using Attention-based Weakly-Supervised Learning," 2021 2nd International Conference for Emerging Technology (INCET), 2021, pp. 1-5, doi: 10.1109/INCET51464.2021.9456449.

49. K. Saini, D. K. Vishwakarma and C. Dhiman, "Sentiment Analysis of Twitter Corpus related to COVID-19 induced Lockdown," 2021 2nd International Conference on Secure Cyber Computing and Communications (ICSCCC), 2021, pp. 465-470, doi: 10.1109/ICSCCC51823.2021.9478112.

50. D. Varshney and D. K. Vishwakarma, "ArtiMarker: A Novel Artificially Inflated Video Marking And Characterization Method on YouTube," 2021 5th International Conference on Computer, Communication and Signal Processing (ICCCSP), 2021, pp. 244-249, doi: 10.1109/ICCCSP52374.2021.9465497.

51. P. Meel and D. K. Vishwakarma, "Deep Neural Architecture for Veracity Analysis of Multimodal Online Information," 2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence), Noida, India, 2021, pp. 7-12, doi: 10.1109/Confluence51648.2021.9377172.

52. A. Kumar, T. Singh, and D.K. Vishwakarma, "Intelligent Transport System: Classification of Traffic Signs Using Deep Neural Networks in Real Time"  In Advances in Manufacturing and Industrial Engineering (pp. 207-219). Springer, Singapore. 

53. G. Tripathi, K. Singh and D. K. Vishwakarma, "Crowd Emotion Analysis Using 2D ConvNets," 2020 Third International Conference on Smart Systems and Inventive Technology (ICSSIT), Tirunelveli, India, 2020, pp. 969-974, doi: 10.1109/ICSSIT48917.2020.9214208.

54. V. Jain, D. Chandel, P. Garg and D. K. Vishwakarma, "Depression and Impaired Mental Health Analysis from Social Media Platforms using Predictive Modelling Techniques," 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Palladam, India, 2020, pp. 855-860, doi: 10.1109/I-SMAC49090.2020.9243334.

55. Arnav Anand, Dinesh Kumar Vishwakarma, "Face anti-spoofing by spatial fusion of Colour Texture features and Deep features" 3rd International Conference on Intelligent Sustainable Systems, ICISS 2020, December 3-5, 2020, Palladam, India.

56. Bahve Malhotra, Dinesh Kumar Vishwakarma, " Classification of Propagation Path and Tweets for Rumor Detection using Graphical Convolutional Networks and Transformer based Encodings", in 6TH IEEE International Conference on Multimedia Big Data (BigMM), September 24-26, 2020, IIIT New Delhi, India.

57. Ankit Yadav, Dinesh Kumar Vishwakarma, " Recent Developments in Generative Adversarial Networks: A Review", in 6TH IEEE International Conference on Multimedia Big Data (BigMM), September 24-26, 2020, IIIT New Delhi, India.

58. Ashima Yadav, Dinesh Kumar Vishwakarma, " A weighted text representation framework for sentiment analysis of medical drug review", in 6TH IEEE International Conference on Multimedia Big Data (BigMM), September 24-26, 2020, IIIT New Delhi, India.

59. Ayush Jain, Dinesh Kumar Vishwakarma, " Deep NeuralNet For Violence Detection Using Motion Features From Dynamic Images" 3rd IEEE International Conference on Smart Systems and Inventive Technology (ICSSIT 2020), August 20-22, 2020, Tirunelveli, India.

60. Ashima Yadav, Dinesh Kumar Vishwakarma, " A Multilingual Framework of CNN and Bi-LSTM for Emotion Classification", IEEE 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), July 1-3, 2020, IIT Kharagpur, India.

61. Aayush Jain, Dinesh Kumar Vishwakarma, "State-of-the-arts Violence Detection using ConvNets", IEEE International Conference on Communication and Signal Processing (ICCSP 20), July 28-30, 2020, Melmaruvathur, Tamilnadu, India.

62. Ishan Miglani, Dinesh Kumar Vishwakarma, “A Comparative Study of Deep Learning Models for Doodle Recognition”, IJAST, vol. 29, no. 7, pp. 12077 - 12083, Jul. 2020.

63. R. Singla, S. Gupta, A. Gupta and D. K. Vishwakarma, "FLEX: A Content Based Movie Recommender", IEEE International Conference for Emerging Technology, June 05-07, 2020, Velgam, India.

64. C. Jain, and D. K. Vishwakarma, "Recent State-of-the-arts of Fake News Detection: A review", IEEE International Conference for Emerging Technology, June 05-07, 2020, Velgam, India.

65. S. Rampal, S. Gupta, S. Verman, and D.K. Vishwakarma, "Image Captioning using IndRNN" in the proceedings of Research International Conference on IoT, Cloud and Data Science, May 2020, Chennai, India

66. Prabhat, Nishant, and D. K. Vishwakarma. "Comparative Analysis of DCGAN and CGAN using Hand Written Digits” in Proceedings of IEEE International Conference on Intelligent Computing and Control Systems [ICICCS 2020], May 2020, Madurai, India.

67. M. Wadera, M. Mathur, and D. K. Vishwakarma. "Sentiment Analysis of Tweets- A comparison of classifiers on live stream of twitter” in Proceedings of IEEE International Conference on Intelligent Computing and Control Systems [ICICCS 2020], May 2020, Madurai, India.

68. K. Chaturvedi, and D. K. Vishwakarma. "Face Recognition in an Unconstrained Environment using ConvNet." Proceedings of the 2020 2nd International Conference on Big Data Engineering and Technology. Singapore, 2020.

69. M. Agarwal, M. Leekha, R. Sawhney, R.R. Shah, R.K. Yadav, D.K. Vishwakarma, "MEMIS: Multimodal Emergency Management Information System". In European Conference on Information Retrieval (pp. 479-494). April 2020, Springer, Cham.

70. P. Meel, M. Mishra, D. K. Vishwakarma, "A Contemporary Survey of Machine Learning Techniques for Fake News Identification", Proceedings of the International Conference on Advances in Electronics, Electrical & Computational Intelligence (ICAEEC) 2019, Prayagraj, India.

71. P. Meel, F. Bano,D.K. Vishwakarma "The Problem of Fraudulent Content on the Web: Deep Learning Approaches", Proceedings of the International Conference on Advances in Electronics, Electrical & Computational Intelligence (ICAEEC) 2019, Prayagraj, India.

72. A. Yadav, A. Agarwal and D. K. Vishwakarma, "XRA-Net Framework for Visual Sentiments Analysis," 2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM), Singapore, Singapore, 2019, pp. 219-224.doi: 10.1109/BigMM.2019.00-22

73. T. Singh, S. Rustagi, A. Garg and D. K. Vishwakarma, "Deep Learning Framework for Single and Dyadic Human Activity Recognition," 2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM), Singapore, Singapore, 2019, pp. 237-241.doi: 10.1109/BigMM.2019.00-19

74. C. Dhiman, M. Saxena and D. K. Vishwakarma, "Skeleton-Based View Invariant Deep Features for Human Activity Recognition," 2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM), Singapore, Singapore, 2019, pp. 225-230.doi: 10.1109/BigMM.2019.00-21.

75. A. Agarwal, A. Yadav and D. K. Vishwakarma, "Multimodal Sentiment Analysis via RNN variants," 2019 IEEE International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD), Honolulu, HI, USA, 2019, pp. 19-23.doi: 10.1109/BCD.2019.8885108

76. T. Singh, D.K. Vishwakarma, "Human Activity Recognition in Video Benchmarks: A Survey",  In: Rawat B., Trivedi A., Manhas S., Karwal V. (eds) Advances in Signal Processing and Communication. Lecture Notes in Electrical Engineering, vol 526. Springer, Singapore. https://doi.org/10.1007/978-981-13-2553-3_24. 

77. A. Agrawal, A. Yadav, D.K. Vishwakarma, "Multimodal Sentiment Analysis via RNN variants", IEEE International Conference on Big Data, Cloud Computing, and Data Science Engineering (BCD 2019), May 29-31, 2019, Honolulu, Hawaii, USA.

78. D. Varshney, D.K. Vishwakarma, “Artificial Traffic Spam: A Study on Fraudulently View Inflation Problem over YouTube” 1ST International Conference on Signal Processing, VLSI and Communication Engineering, Delhi, March 28-30, 2019.

79. T. Singh, D.K. Vishwakarma, “A Framework for Human Action Recognition using Skeleton Joints” 1ST International Conference on Signal Processing, VLSI and Communication Engineering, Delhi, March 28-30, 2019.

80. C. Dhiman, S. Gupta, D. K. Vishwakarma, “Deep Facial Expression Recognition using Transfer Learning”, 1ST International Conference on Signal Processing, VLSI and Communication Engineering, Delhi, March 28-30, 2019.

81. Sagar, D.K. Vishwakarma, "A State-of-the-Arts and Prospective in Neural Style Transfer", IEEE International Conference on Signal Processing & Integrated Networks, Noida, India, March 7-8, 2019.

82. S. Jaiswal, D.K. Vishwakarma, "State-of-the-Arts Person Re-Identification using Deep Learning", IEEE International Conference on Signal Processing & Integrated Networks, Noida, India, March 7-8, 2019.

83. S. Rajora, D. K. Vishwakarma, K. Singh and M. Prasad, "CSgI: A Deep Learning based approach for Marijuana Leaves Strain Classification," 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), Vancouver, BC, Canada, 2018, pp. 209-214.

84. C. Dhiman and D.K. Vishwakarma, “A Hybrid Multimodal Tracking System for boarder surveillance” in IEEE IEEE International Conference of Soft Computing and Network Security (ICSNS), Saravanampatti,TN,  India, February 14-16, 2018.

85. T. Singh and D.K. Vishwakarma, “A Hybrid Neuro-Wavelet Based Pre-Processing Technique for Data Representation” in IEEE International Conference on Computational Intelligence and Computing Research (IEEEICCIC17), Karumathampatti, India December 14-16, 2017.

86. C. Dhiman and D.K. Vishwakarma, “High dimensional Abnormal Human Activity Recognition Using Histogram Oriented Gradients and Zernike moments” in IEEE International Conference on Computational Intelligence and Computing Research (IEEEICCIC17), Karumathampatti, India, December 14-16, 2017.

87. D.K. Vishwakarma, and V. Grover "Hand Gesture Recognition in Low-Intensity Environment Using Depth Images" in IEEE International Conference On Intelligent Sustainable Systems 2017 (ICISS 2017), Coimbatore, India, 07th to 8th December 2017

88. D.K. Vishwakarma, "A hybrid approach for the recognition of Hand Postures using Texture and Skin Saliency Map" in IEEE International Conference On Intelligent Sustainable Systems 2017 (ICISS 2017), Coimbatore, India, 07th to 8th December 2017.

89. D.K. Vishwakarma and S. Ansari," framework for Human-Computer Interaction using Dynamic Time Warping and Neural Network" International Conference on Inventive Computing and Informatics (ICICI 2017), Coimbatore, 23rd to 24th November 2017.

90. D.K. Vishwakarma,"Hand Gesture Recognition using Shape and Texture evidence in Complex Background" International Conference on Inventive Computing and Informatics (ICICI 2017), Coimbatore, 23rd to 24th November 2017.

91. K. Chou, M. Prasad, D. Puthal, P. Chen, D. K. Vishwakarma, S. Sundaram, C. Lin and W. Lin "Fast Deformable Model for Pedestrian Detection with Haar-like Features" IEEE Symposium Series on Computational Intelligence (SSCI), Hawaii, USA. 27th to 1st Dec. 2017.

92. D.K. Vishwakarma, S. Majithia, N.K. Mishra, "A unified framework for the recognition of raised finger in a static hand posture" IEEE International Conference on Recent Innovations in Signal Processing and Embedded System (RISE2017), Bhopal, India. 27th to 29th October, 2017.

93. D. Lahiri, C. Dhiman, D.K. Vishwakarma, "Abnormal Human Activity Recognition using Average Energy Images" IEEE International Conference on Information and Communication Technology (CICT-2017), Gwalior, India. 3rd to 5th November, 2017.

94. D.K. Vishwakarma, D. Jain, S. Rajora, " Iris Detection and Recognition using 2-Fold Technique" in 3rd IEEE International Conference Computing Communication and Automation (ICCACA-17), Greater Noida, India. 5th to 6th May 2017. 

95. Kuldeep Singh, D.K. Vishwakarma, G.S. Walia, R.Kapoor, " Sparse Coding based Robust Image Denoising via Coupled Dictionary" IEEE Conference on Information Processing, Delhi, Aug 2016.

96. D.K. Vishwakarma, J. Gautam, Kuldeep Singh, "A robust framework for the recognition of human action and activity using spatial distribution of gradients and Gabor wavelet" in Proc. of International Conference on Advances in Soft Computing, Intelligent Systems and Applications (ASISA-2016),  Banglore, (Springer), April 2016. ISSN: 2194-5357.

97. D.K. Vishwakarma, Pridarshani, Kuldeep Singh, "A framework for the recognition of hand gesture in static postures", in IEEE Conf. on Computing Communication and Automation, Greater Noida, UP, 2016, pp. 294-298. DOI:10.1109/CCAA.2016.7813732. ISBN:978-1-5090-1666-2

98. D.K. Vishwakarma, Maheshwari, Rockey; Kapoor, Rajiv, "An Efficient Approach for the Recognition of Hand Gestures from Very Low-Resolution Images," in 5th IEEE International Conference on Communication Systems and Network Technologies (CSNT), Gwalior, MP, pp.467-471, April 2015. DOI: 10.1109/CSNT.2015.84.  ISBN:978-1-4799-1797-6.

99. D.K. Vishwakarma, Prachi Rawat, Rajiv Kapoor, “Human Activity Recognition Using Gabor Wavelet Transform and Ridgelet Transform”, in 3rd International Conference on Recent Trends in Computing 2015 (ICRTC-2015) published in Procedia of Computer Science Journal, Vol. 57C, pp. 630-636, 2015. DOI: 10.1016/j.procs.2015.07.425.(Pub.: Elsevier).

100. D.K. Vishwakarma, Ashish Dhiman, Rockey Maheswari, Rajiv Kapoor, “Human Motion Analysis by Fusion of Silhouette Orientation and Shape Features”, in 3rd International Conference on Recent Trends in Computing 2015 (ICRTC-2015) published in Procedia of Computer Science Journal, Vol. 57C, pp. 438-447, 2015. DOI: 10.1016/j.procs.2015.07.515. (Pub.: Elsevier).

101. D. K. Vishwakarma, Rajiv Kapoor, Rockey Maheshwari, Vaibhav Kapoor, Sahil Raman “Recognition of Abnormal Human Activity using the changes in orientation of silhouette in key frames ” Proc. of the  9th INDIACom-2015, 2nd IEEE International Conference on “Computing for Sustainable Global Development”, New Delhi, pp. 336-341, March, 2015. ISBN:978-9-3805-4416-8.

102. D. K. Vishwakarma, Rajiv Kapoor, Ashish Dhiman, Abhishek Goyal, Danish Jamil “De-noising of Audio Signal Using Heavy-Tailed Distribution and Comparison of Wavelets and Thresholding Techniques” Proc. of the  9th INDIACom-2015, 2nd IEEE International Conference on “Computing for Sustainable Global Development”, New Delhi,pp. 755-760, March, 2015 . ISBN: 978-9-3805-4415-1

103. Jaya Gautam, D.K.Vishwakarma, Rajiv Kapoor, “Performance Comparison of 6T SRAM Cell using Bulk MOSFET and Double Gate (DG) MOSFET”, in Proc. of IEEE International Conference on Signal Processing and Integrated Network (SPIN20015), Noida, UP. India. DOI:10.1109/SPIN.2015.7095383. ISBN: 978-1-4799-5991-4

104. D.K.Vishwakarma, Rajiv Kapoor “Simple and Intelligent system to recognize the expression of speech-disabled person” 4th IEEE international conference on Intelligent Human-Computer Interaction, pp: 1-6, 27th to 29th December, 2012, Kharagpur India, DOI:10.1109/IHCI.2012.6481804. ISBN: 978-1-4673-4367-1

105. A.Mishra, A. Gupta, D.K.Vishwakarma “Proposal of New Stenographic Approach” IEEE International Conference on Advances in Computing, Control, and Telecommunication Technologies, pp: 175-178, 28th to 29th December, 2009, Trivandrum Kerala, India.DOI:10.1109/ACT.2009.52. ISBN: 978-0-7695-3915-7