Prasad, S., Paul, R. and Kamat, M., 2025. "SequenceOut: Boosting CNNs by Freezing Layers." in IEEE Signal Processing Letters, 32, pp.1401-1405.
Prasad, S. and Abraham, A., 2024. "Efficient title text detection using multi-loss," in International Journal on Document Analysis and Recognition (IJDAR), pp.1-11.
Ma, T., Cheng, K., Chai, T., Prasad, S., Zhao, D., Li, J. and Zhou, H., 2024. "MDCENet: Multi-Dimensional Cross-Enhanced Network for infrared small target detection," in Infrared Physics & Technology, p.105475.
K. Cheng, S. Prasad, T. Chai, W. Xue and D. Zhao, "Local Curvature Optimization for Self-Supervised Image Restoration," in IEEE Signal Processing Letters, vol. 31, pp. 1294-1298, 2024, doi: 10.1109/LSP.2024.3395176
Pankaj P. Singh, and Shitala Prasad, Peisen Tang., 2024. A Hybrid Approach for Real-time Vehicle Monitoring System. In International Journal of Engineering and Manufacturing (IJEM).
Gao, R., Su, H., Prasad, S. and Tang, P., 2024. Few-shot classification with multisemantic information fusion network. Image and Vision Computing, 141, p.104869.
Dongyun Lin, Cheng Yi, Shitala Prasad, Li Yiqun, Guo Aiyuan., 2023. Multi-Range View Aggregation Network with Vision Transformer Feature Fusion for 3D Object Retrieval. In IEEE Transactions on Multimedia.
Shitala Prasad, Tingting Chai., 2023. Multi-scale Arc-fusion based Feature Embedding for Small-scale Biometrics. In Neural Processing Letters. pp.1-18.
Prasad, S., Chai, T., Li, J. and Zhang, Z., 2023. Cr loss: Improving biometric using classroom learning approach. The Computer Journal, 66(12), pp.2897-2907.
Chai, T., Prasad, S., Yan, J. and Zhang, Z., 2023. Contactless palmprint biometrics using DeepNet with dedicated assistant layers. The Visual Computer, 39(9), pp.4029-4047.
Chai, T., Li, J., Prasad, S., Lu, Q. and Zhang, Z., 2022. Shape-driven lightweight CNN for finger-vein biometrics. Journal of Information Security and Applications, 67, p.103211.
Lin, D., Li, Y., Cheng, Y., Prasad, S., Nwe, T.L., Dong, S. and Guo, A., 2022. Multi-view 3D object retrieval leveraging the aggregation of view and instance attentive features. Knowledge-Based Systems, 247, p.108754.
Xingpeng Xu, S. Prasad, Kuanhong Cheng, Adams Kong., 2022. Using Double Attention for Text Tattoo Localization. In IET Biometrics, 11. 10.1049/bme2.12071
Sun, G., Ye, F., Chai, T., Zhang, Z., Tong, X. and Prasad, S., 2023. Gambling Domain Name Recognition via Certificate and Textual Analysis. The Computer Journal, 66(8), pp.1829-1839.
D. Lin, Y. Li, S. Prasad, T. L. Nwe, S. Dong, Z. M. Oo., 2021. Class Activation Map Guided U-Net with Triplet Feature Regularization and Multi-Path Decoding for Defect Detection and Segmentation from Industrial Images. In Knowledge-based Systems, 228, p.107272
Prasad, S., D. Lin, Y. Li, S. Dong, T. L. Nwe., 2021. A Progressive Multi-view Learning Approach for Multi-loss Optimization in 3D Object Recognition. In IEEE Signal Processing Letters, vol. 29, pp. 707-711, 2022, doi: 10.1109/LSP.2021.3132794
K. Lu, T. Chai, H. Xu, S. Prasad, J. Yan and Z. Zhang., 2021. Research on Unexpected DNS Response from Open DNS Resolvers. The Computer Journal, bxab063, https://doi.org/10.1093/comjnl/bxab063
Prasad, S. and Chai, T., Palmprint for Individual’s Personality Behavior Analysis. The Computer Journal, Volume 65, Issue 2, February 2022, Pages 355–370, https://doi.org/10.1093/comjnl/bxaa045
Chai, T., Prasad, S. and Wang, S., 2019. Boosting palmprint identification with gender information using DeepNet. Future Generation Computer Systems, 99, pp.41-53.
Chaoying, T.A.N.G., Xianghui, W.E.I., Biao, W.A.N.G. and Prasad, S., 2019. A Cross-border Detection Algorithm for Agricultural Spraying UAV. Applied Engineering in Agriculture, 35(2), pp.163-174.
Prasad, S. and Gupta, S., 2018. Volumetric tumour detection using improved region grow algorithm. International Journal of Computational Systems Engineering, 4(2-3), pp.127-139.
Prasad, S., Peddoju, S.K. and Ghosh, D., 2017. An adaptive plant leaf mobile informatics using RSSC. Multimedia Tools and Applications, 76(20), pp.21339-21363.
Prasad, S., Kumar, P.S. and Ghosh, D., 2017. An efficient low vision plant leaf shape identification system for smart phones. Multimedia Tools and Applications, 76(5), pp.6915-6939.
Prasad, S., Peddoju, S.K. and Ghosh, D., 2016. Multi-resolution mobile vision system for plant leaf disease diagnosis. Signal, Image and Video Processing, 10(2), pp.379-388.
Prasad, S., Kumar, P.S. and Ghosh, D., 2015. "Agriculture-as-a-Service", IN IEEE Potentials, vol. 40, no. 6, pp. 34-43, Nov.-Dec. 2021, doi: 10.1109/MPOT.2015.2496327.
Mehta, A., Prasad, S., and Peddoju, S.K., 2014. “MOBILE VISION SYSTEM FOR PALM PRINCIPAL LINES' FEATURES EXTRACTION”, IN INTERNATIONAL JOURNAL OF INFORMATION PROCESSING (IJIP), SOCIETY OF INFORMATION PROCESSING, BANGALORE, Vol. 8 (1), PP. 1-10.
Prasad, S., Peddoju, S.K. and Ghosh, D., 2013. AgroMobile: a cloud-based framework for agriculturists on mobile platform. International Journal of advanced science and technology, 59, pp.41-52.
Prasad, S., Verma, G.K., Singh, B.K. and Kumar, P., 2012. Basic handwritten character recognition from multi-lingual image dataset using multi-resolution and multi-directional transform. International Journal of Wavelets, Multiresolution and Information Processing, 10(05), p.1250046. (SCI Indexing, Impact factor: 1.168)
Kumar, P., Verma, J. and Prasad, S., 2012. Hand data glove: a wearable real-time device for human-computer interaction. International Journal of Advanced Science and Technology, 43.
Kumar, K.S., Semwal, V.B., Prasad, S. and Tripathi, R.C., 2011. Generating 3D model using 2D images of an object. International Journal of Engineering Science, 3(1), 406-415. http://www.ijest.info/issue.php?file=vol03issue01
Kumar, K.S., Prasad, S., Semwal, V.B. and Tripathi, R.C., 2011. Real time face recognition using adaboost improved fast PCA algorithm. arXiv preprint arXiv:1108.1353.
Kumar, K.S., Prasad, S., Semwal, V.B. and Tripathi, R.C., Face Recognition Using AdaBoost Improved Fast PCA Algorithm. IN INTERNATIONAL JOURNAL OF BIOMETRICS AND BIOINFORMATICS (IJBB), VOLUME 5, ISSUS 2, MAY 2011. PP.1-10.
Prasad, S., Singh, V.K. and Sapre, A., 2010. Handwriting analysis based on segmentation method for prediction of human personality using support vector machine. International Journal of Computer Applications, 8(12), pp.25-29.
Kumar, K.S., Prasad, S., Banwral, S. and Semwal, V.B., 2010. Sports video summarization using priority curve algorithm. International Journal on Computer Science & Engineering, 2(9), pp.2996-3002.
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Anuj Abraham, Zhang Yi, and S. Prasad, " 2024, December. Smart City-Wide Intelligent Emergency Response System: An Evacuation Management Framework Utilizing Next-Gen Communications and IoT. In 2024 IEEE 21st India Council International Conference (INDICON) (pp. 1-7). IEEE.
Adarsh Anand, Aniket Chaudhri, Rajat Singh, Vivek Bandrele, Vipin Gautam and S. Prasad, "SegCapNet: Enhancing E-Commerce Visual Search with U2-Net Segmentation and BLIP Captioning," in International Intelligent Computing and Technology Conference (ICTCon) 2024, Kokrajhar. (accepted, in press)
Ashmit Sharma, and S. Prasad, "Impact of Image Resolution and Class Complexity on QCNN Performance," in International Intelligent Computing and Technology Conference (ICTCon) 2024, Kokrajhar. (accepted, in press)
Chourasia, S., Dethe, S. and Prasad, S., 2024, December. MDDAMFN: Mixed Dual-Direction Attention Mechanism to Enhance Facial Expression. In International Conference on Computer Vision and Image Processing (pp. 14-28). Cham: Springer Nature Switzerland.
Vipin Gautam, Sharad Sinha, and S. Prasad, "2024, December. VATML: Towards On Device Ventricular Arrhythmia Detection Using TinyML. In 2024 IEEE International Symposium on Smart Electronic Systems (iSES) (pp. 1-6). IEEE. - BEST PAPER AWARD
Gautam, V. and Prasad, S., 2024, December. YOLOv9++: An Improved YOLOv9 Detector for Plant Biometrics Using Pseudo-labels. In International Conference on Computer Vision and Image Processing (pp. 175-189). Cham: Springer Nature Switzerland.
Gautam, V., Thakare, S., Prasad, S. and George, C.P., 2024, December. SkyGuard: Semi-supervised Drone Technology for Real-Time Traffic Rule Enforcement. In International Conference on Computer Vision and Image Processing (pp. 123-137). Cham: Springer Nature Switzerland. - BEST POSTER PAPER AWARD
Sumitra, Prasad, S., Dutta, S. and AV, S., 2024, December. Towards Safer Roads: Utilizing Synthetic Data and Neural Networks to Classify Safe Distances in Driving Scenarios. In International Conference on Computer Vision and Image Processing (pp. 199-213). Cham: Springer Nature Switzerland.
Anish Natekar , Vipin Gautam, Prahalad Vijaykumar, S. Prasad, and Clint P. George, 2024, December. HyP-ECA: An Attention for Aerial Tree Crown Delineation and Species Classification. In International Conference on Computer Vision and Image Processing (pp. 223-237). Cham: Springer Nature Switzerland.
Tang, C., Hang, Q., Prasad, S., Zhang, Y., Sun, Y. and Huang, S., Deep Learning-Based Small Sample Body Vein Recognition and its Implementation. Available at SSRN 4643060.
Singh, P.P., Prasad, S., Kalita, G., Das, J. and Mahanta, P.J., 2023, December. Light Weighted YOLO Vehicle Tracker for Toll Gate Using Centroid Algorithm. In International Conference on Emerging Electronics and Automation (pp. 183-194). Singapore: Springer Nature Singapore.
Pai, S., Mandrekar, S., Phadte, S., Naik, A. and Prasad, S., 2023, December. TranslateKar: An Efficient Transformer Based Konkani Translator. In International Conference on Emerging Electronics and Automation (pp. 293-306). Singapore: Springer Nature Singapore.
Gautam, V., Prasad, S. and Sinha, S., 2023, November. Joint-YODNet: A Light-Weight Object Detector for UAVs to Achieve Above 100fps. In International Conference on Computer Vision and Image Processing (pp. 567-578). Cham: Springer Nature Switzerland.
Gautam, V., Prasad, S. and Sinha, S., 2023, November. YOLORe-IDNet: An Efficient Multi-camera System for Person-Tracking. In International Conference on Computer Vision and Image Processing (pp. 185-197). Cham: Springer Nature Switzerland.
Singh, P.P., Kumar, D., Srivastava, A., Basumatary, M. and Prasad, S., 2023, August. A CNN Model Based Approach for Disease Detection in Mango Plant Leaves. In International conference on soft computing for problem-solving (pp. 389-399). Singapore: Springer Nature Singapore. (BEST Application PAPER AWARD)
Singh, P.P., Garg, R.D. and Prasad, S., 2023. Tree detection from urban developed areas in high-resolution satellite images. In Soft Computing for Problem Solving: Proceedings of the SocProS 2022 (pp. 239-247). Singapore: Springer Nature Singapore.
Prasad, Shitala, Chaoying Tang, Yufeng Zhang, and Biao Wang. "FAV-Net: A Simple Single-Shot Self-attention Based ForeArm-Vein Biometric." In International Conference on Computer Vision and Image Processing, pp. 443-457. Cham: Springer Nature Switzerland, 2022.
Singh, Pankaj Pratap, Preeti Ramchiary, Jahirul Islam Bora, Rakesh Bhuyan, and Shitala Prasad. "An Ensemble Approach for Moving Vehicle Detection and Tracking by Using Ni Vision Module." In International Conference on Computer Vision and Image Processing, pp. 712-721. Cham: Springer Nature Switzerland, 2022.
Abraham, Anuj, Sarat Chandra Nagavarapu, Shitala Prasad, Pranjal Vyas, and Libin K. Mathew. "Recent Trends in Autonomous Vehicle Validation Ensuring Road Safety with Emphasis on Learning Algorithms." In IEEE 2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV), pp. 397-404.
Prasad, Shitala, Yiqun Li, Dongyun Lin, and Aiyuan Guo. "Implicit Shape Biased Few-Shot Learning for 3D Object Generalization." In IEEE International Conference on Image Processing (ICIP), pp. 3436-3440. 2022.
D. Lin, C. Yi, Y. Li, Shitala Prasad, A. Guo. MLSA-UNET: End-to-end Multi-level Spatial Attention Guided UNET for Industrial Defect Segmentation, In IEEE International Conference on Image Processing (ICIP), pp. 441-445. 2022.
D. Lin, Y. Li, C. Yi, Shitala Prasad, A. Guo. Masked Face Recognition via Self-Attention based Local Consistency Regularization, In IEEE International Conference on Image Processing (ICIP), pp. 436-440. 2022.
Pankaj Pratap Singh, Shitala Prasad. A Hybrid Adaptive Image Retrieval Approach by using Clustering and Neural Network Techniques. In International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA), pp. 395-403. Singapore: Springer Nature Singapore, 2022.
Ajeet Pandey, Piyush Kumar, Shitala Prasad. 2D Convolutional LSTM-based approach for human action recognition on various sensor data. In International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA), pp. 405-417. Singapore: Springer Nature Singapore, 2022.
Shitala Prasad, Pankaj Pratap Singh, Piyush Kumar. Momentum Residual Embedding with Angular Marginal Loss for Plant Pathogen Biometrics. In International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI), 2022, (pp. 124-136). Springer, Cham
Tin Lay Nwe, Singh Pahwa Ramanpreet, Chang Richard, Zaw Min Oo, Jie Wang, Yiqun Li, Dongyun Lin, Prasad Shitala, Sheng Dong. On The Use of Component Structural Characteristics for Voxel Segmentation in Semicon 3D images. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, (pp. 2694-2698).
Rohan Saxena, Maheep Chaudhary, Chandresh Kumar Maurya, Shitala Prasad. An Intelligent Recommendation-cum-Reminder System, In 5th Joint International Conference on Data Science & Management of Data 2021 (9th ACM IKDD CODS and 27th COMAD), 2022 Pages 169–177 https://doi.org/10.1145/3493700.3493724
Yiqi Zhong, J. Li, T. Chai, Shitala Prasad, Z. Zhang. Different dimension issues in deep feature space for finger-vein recognition, In 15th Chinese Conference on Biometric Recognition (CCBR) 2021, pp. 295-303. Springer, Cham.
Anuj Abraham, Yi Zhang, Shitala Prasad. Real-Time Prediction of Multi-class Lane-changing Intentions based on Highway Vehicle Trajectories, In 24th IEEE ITSC 2021, Indianapolis, IN, USA, (pp. 1457-1462)
D. Lin, Y. Li, Shitala Prasad, Tin L. N., S. Dong, Zaw Min Oo. CAM-Guided U-Net with Adversarial Regularization for Defect Segmentation, In 2021 IEEE International Conference on Image Processing (ICIP) (pp. 1054-1058)
Soumen Biswas, Ranjay Hazra, Shitala Prasad, Arvind Sirvee. A Level Set Model Driven by New Signed Pressure Force Function for Image Segmentation, In 2021 National Conference on Communications (NCC) (pp. 1-6)
Shitala Prasad, Yiqun Li, Dongyun Lin, Sheng Dong. 2021. maskedFaceNet: A Progressive Semi-Supervised Masked Face Detector, In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 3389-3398
Shitala Prasad, Dongyun Lin, Yiqun Li, Sheng Dong, Zaw Min Oo. 2021. Rethinking of Deep Models Parameters with Respect to Data Distribution, In 2020 25th International Conference on Pattern Recognition (ICPR), pp. 8562-8569
Tin Lay Nwe, Zaw Min Oo, Saisubramaniam Gopalakrishnan, Dongyun Lin, Shitala Prasad, Sheng Dong, Yiqun Li, Ramanpreet Singh Pahwa, 2020. IMPROVING 3D BRAIN TUMOR SEGMENTATION WITH PREDICT-REFINE MECHANISM USING SALIENCY AND FEATURE MAPS, In 2020 IEEE International Conference on Image Processing (ICIP) (pp. 2671-2675).
Dongyun Lin, Yiqun Li, Shitala Prasad, Tin Lay Nwe, Sheng Dong, Zaw Min Oo, 2020. CAM-UNet: CLASS ACTIVATION MAP GUIDED UNET WITH FEEDBACK REFINEMENT FOR DEFECT SEGMENTATION, In 2020 IEEE International Conference on Image Processing (ICIP), pp. 2131-2135
Biswas, S., Hazra, R. and Prasad, S., 2019, October. A Region-based Level Set Formulation Using Machine Learning Approach in Medical Image Segmentation. In TENCON 2019-2019 IEEE Region 10 Conference (TENCON), pp. 470-475
Singh, P.P., Prasad, S., Chaudhary, A.K., Patel, C.K. and Debnath, M., 2019, September. Classification of Effusion and Cartilage Erosion Affects in Osteoarthritis Knee MRI Images Using Deep Learning Model. In International Conference on Computer Vision and Image Processing (pp. 373-383). Springer, Singapore.
Prasad, S. and Singh, P.P., 2018, November. A compact mobile image quality assessment using a simple frequency signature. In 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV) (pp. 1692-1697)
Singh, P.P., Prasad, S., Das, B., Poddar, U. and Choudhury, D.R., 2018. Classification of diabetic patient data using machine learning techniques. In Ambient Communications and Computer Systems (pp. 427-436). Springer, Singapore.
Prasad, S. and Wai Kin Kong, A., 2018. Using object information for spotting text. In Proceedings of the European Conference on Computer Vision (ECCV) (pp. 540-557).
Prasad, S. and Singh, P.P., 2017, November. Medicinal plant leaf information extraction using deep features. In TENCON 2017-2017 IEEE Region 10 Conference (pp. 2722-2726)
Prasad, S., Peddoju, S.K. and Ghosh, D., 2017, November. Efficient plant leaf representations: A comparative study. In TENCON 2017-2017 IEEE Region 10 Conference (pp. 1175-1180)
Kumar, P., Agrawal, A. and Prasad, S., 2017, November. Multimodal interface for temporal pattern based interactive large volumetric visualization. In TENCON 2017-2017 IEEE Region 10 Conference (pp. 1239-1244)
Seema Wazarkar, B.N. Keshavamurthy, Shitala Prasad, 2017. SEMI-SUPERVISED MODEL FOR FEATURE EXTRACTION AND CLASSIFICATION OF FASHION IMAGES, IN 26th International Conference on Artificial Neural Networks (ICANN), 2017, 11-15 September 2017, Alghero, Sardinia, Italy.
Prasad, S. and Singh, P.P., 2017. Vision system for medicinal plant leaf acquisition and analysis. In Applications of Cognitive Computing Systems and IBM Watson (pp. 37-45). Springer, Singapore.
Prasad, S. and Keshavamurthy, B.N., 2016, November. An efficient artistic image-video transfer approach. In 2016 23rd International Conference on Mechatronics and Machine Vision in Practice (M2VIP) (pp. 1-4). IEEE.
Prasad, S., Peddoju, S.K. and Ghosh, D., 2016, March. Mask Region Grow segmentation algorithm for low-computing devices. In 2016 Twenty Second National Conference on Communication (NCC) (pp. 1-6). IEEE.
Prasad, S., Kumar, P. and Sinha, K.P., 2015. Grayscale to color map transformation for efficient image analysis on low processing devices. In Advances in Intelligent Informatics (pp. 9-18). Springer, Cham.
Gupta, S. and Prasad, S., 2014, October. Human-Signature Psychology Relation: A Time-Series Analysis. In Proceedings of the 2014 International Conference on Information and Communication Technology for Competitive Strategies (pp. 1-5).
Prasad, S., Peddoju, S.K. and Ghosh, D., 2014, September. Mobile mixed reality based damage level estimation of diseased plant leaf. In 2014 Eighth International Conference on Next Generation Mobile Apps, Services and Technologies (pp. 72-77). IEEE.
Prasad, S., Kumar, P. and Sinha, K.P., 2014, August. A wireless dynamic gesture user interface for HCI using hand data glove. In 2014 Seventh International Conference on Contemporary Computing (IC3) (pp. 62-67). IEEE.
Prasad, S., Peddoju, S.K. and Ghosh, D., 2014, April. Energy efficient mobile vision system for plant leaf disease identification. In 2014 IEEE Wireless Communications and Networking Conference (WCNC) (pp. 3314-3319). IEEE.
Prasad, S., Peddoju, S.K. and Ghosh, D., 2013, December. Mobile plant species classification: a low computational aproach. In 2013 IEEE Second International Conference on Image Information Processing (ICIIP-2013) (pp. 405-409). IEEE.
Prasad, S., Peddoju, S.K. and Ghosh, D., 2013, April. Mobile augmented reality based interactive teaching & learning system with low computation approach. In 2013 IEEE Symposium on Computational Intelligence in Control and Automation (CICA) (pp. 97-103). IEEE.
Mehta, A., Prasad, S. and Sateesh, K.P., 2013. Improved Connected Region Based Approach for Extraction of Principal Lines from Palm Images. In Proceedings of Elsevier International Conference of Image and Signal Processing.
Prasad, S., Peddoju, S.K. and Ghosh, D., 2013, October. Unsupervised resolution independent based natural plant leaf disease segmentation approach for mobile devices. In Proceedings of the 5th IBM Collaborative Academia Research Exchange Workshop (pp. 1-4).
Prasad, S., Kumar, P., Hazra, R. and Kumar, A., 2012, December. Plant leaf disease detection using Gabor wavelet transform. In International Conference on Swarm, Evolutionary, and Memetic Computing (pp. 372-379). Springer, Berlin, Heidelberg.
Prasad, S., Prakash, A., Peddoju, S.K. and Ghosh, D., 2012, August. Control of computer process using image processing and computer vision for low-processing devices. In Proceedings of the International Conference on Advances in Computing, Communications and Informatics (pp. 1169-1174).
Prasad, S., Kumar, P. and Jain, A., 2011, December. Detection of disease using block-based unsupervised natural plant leaf color image segmentation. In International conference on swarm, evolutionary, and memetic computing (pp. 399-406). Springer, Berlin, Heidelberg.
Prasad, S., Kumar, P. and Tripathi, R.C., 2011, September. Plant leaf species identification using curvelet transform. In 2011 2nd International Conference on Computer and Communication Technology (ICCCT-2011) (pp. 646-652). IEEE.
Verma, G.K., Prasad, S. and Kumar, P., 2011, March. Handwritten Hindi character recognition using curvelet transform. In International Conference on Information Systems for Indian Languages (pp. 224-227). Springer, Berlin, Heidelberg.
Verma, G.K., Prasad, S. and Bakul, G., 2011, February. Robust face recognition using curvelet transform. In Proceedings of the 2011 International Conference on Communication, Computing & Security (pp. 239-242).
Prasad, S., Kudiri, K.M. and Tripathi, R.C., 2011, February. Relative sub-image based features for leaf recognition using support vector machine. In Proceedings of the 2011 International Conference on Communication, Computing & Security (pp. 343-346).
Kumar, K.S., Prasad, S., Saroj, P.K. and Tripathi, R.C., 2010, November. Multiple cameras using real time object tracking for surveillance and security system. In 2010 3rd International Conference on Emerging Trends in Engineering and Technology (pp. 213-218). IEEE.
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Prasad, S., Peddoju, S.K. and Ghosh, D., 2015. "AGROMOBILE: A THIRD EYE FOR AGRICULTURISTS OF INDIA", IN 9TH UTTARAKHAND STATE SCIENCE AND TECHNOLOGY CONGRESS 2014-15. 26-28 FEBRUARY, 2015, DEHRADUN.
Abraham, A., Prasad, S., Kashyap Pargi, M., Alhammadi, A., Vyas, P. (2025). Computer Vision in Smart Parking Solution Systems: Enhancing Urban Mobility. In: Abraham, A., Prasad, S., Alhammadi, A., Lestable, T., Chaabane, F. (eds) Internet of Vehicles and Computer Vision Solutions for Smart City Transformations. Lecture Notes in Intelligent Transportation and Infrastructure. Springer, Cham. https://doi.org/10.1007/978-3-031-72959-1_10
Abraham, A. and Prasad, S., 2024. Challenges and Techniques to Improve Deep Detection and Recognition Methods for Text Spotting. In Deep Learning for Multimedia Processing Applications (pp. 378-399). CRC Press. https://www.routledge.com/Deep-Learning-for-Multimedia-Processing-Applications-Volume-Two-Signal/Bhatti-Mengxing-Li-Bazai-Aamir/p/book/9781032623344
Abraham, A., Math, C.B., Prasad, S. and Sharma, M., 2023. Real-Time Traffic Accident Detection for an Intelligent Mobility in Smart Cities. In Internet of Everything for Smart City and Smart Healthcare Applications (pp. 145-161). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-34601-9_9
Prasad, S., 2017. Mobile vision for plant biometric system. In Ubiquitous Machine Learning and Its Applications (pp. 15-38). IGI Global. doi:10.4018/978-1-5225-2545-5.ch002
Abraham, A., Prasad, S., Alhammadi, A., Lestable, T. and Chaabane, F. (2025). Internet of Vehicles and Computer Vision Solutions for Smart City Transformations. In Lecture Notes in Intelligent Transportation and Infrastructure. Springer, Cham.
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"Mobile cloud computing for plant leaf analysis", IN J Inform Tech Softw Eng 2016, 6:4(Suppl), 2nd Global Summit and Expo Multimedia & Applications, August 15-16, 2016 London, UK, Page 75. https://www.omicsgroup.org/journals/2165-7866/2165-7866.C1.006_013.pdf [link]
One Day Workshop on "CloudSim and CloudAnalyst" by me during "Cloud Computing and Research", by Dr. P. Sateesh Kumar, on 11th Oct., 2014, organized by CSI Haridwar Chapter at Gurukul Kangri, Bahadrabad, Haridwar. [link]
One Day Workshop on "Wireless Networks in NS-2", during "Research Issues & Simulation Tools in Wireless Technologies", 23th-27th September, 2013, BIT Noida. Assisted Dr. Sateesh K. Peddoju. [link]
One day Seminar on LabVIEW- Test, Measurement, and Embedded Control at Radision, Haridwar from National Instruments (NI) - Sponsored by NI and Captronic Systsem on 19th of August, 2014 (Tuesday), Haridwar, Uttarakhand, India. [link]
One day Workshop on 3D City or Scene Modelling by FARO from FARO Delhi - Sponsored by FARO Delhi and IIT Roorkee, 30th May, 2014, at Civil Department, IIT Roorkee, India. [link]
Research Promotion Workshop on "Introduction to Graph and Geometric Algorithms" Sponsored by TIFR School of Technology and Computer Science, 6-8 March 2014, Roorkee, Department of Computer Science and Engineering, IIT Roorkee. [link]
Winter School on "Big Data and Analytics" IBM "I-CARE 2013" - 5th IBM Collaborative Academia Research Exchange, October 17 – 19, 2013, IIT Delhi & IIIT-Delhi, New Delhi. [link]
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