Journals

International Journals (SCIE/Scopus/ESCI Indexed & Peer Reviewed): 46

2024 

1. Jithendra, T., Khan, M. Z., Basha, S. S., Das, R., Divya, A., Chowdhary, C. L., ... & Alahmadi, A. H. (2024). A novel QoS prediction model for web services based on an adaptive neuro-fuzzy inference system using COOT optimization. IEEE Access. SCI Impact Factor: 3.476

2. Nallakaruppan, M. K., Chowdhary, C. L., Somayaji, S., Chaturvedi, H., Rauf, H. T., & Sharaf, M. (2024). Comparative analysis of GAN-based fusion deep neural models for fake face detection. Mathematical Biosciences and Engineering: MBE, 21(1), 1625-1649. SCI Impact Factor: 2.194

2023 

1. Manickam, S., Yarlagadda, L., Gopalan, S. P., & Chowdhary, C. L. (2023). Unlocking the Potential of Digital Twins: A Comprehensive Review of Concepts, Frameworks, and Industrial Applications. IEEE Access, 11, 135147-135158. SCI Impact Factor: 3.476

2. Sharma, S. K., Chaurasia, A., Sharma, V. S., Chowdhary, C. L., & Basheer, S. (2023). GEMM, a Genetic Engineering-Based Mutual Model for Resource Allocation of Grid Computing. IEEE Access, 11, 128537-128548. SCI Impact Factor: 3.476

3. Sharma, S. K., Sharma, V. S., Basheer, S., Chaurasia, A., & Chowdhary, C. L. (2023). An Astute Automaton Model for Objects Extraction Using Outer Totality Cellular Automata (OTCA). IEEE Access. SCI Impact Factor: 3.4766. 

4. Bebortta, S., Tripathy, S. S., Basheer, S., & Chowdhary, C. L. (2023). FedEHR: A Federated Learning Approach towards the Prediction of Heart Diseases in IoT-Based Electronic Health Records. Diagnostics, 13(20), 3166. SCI Impact Factor: 3.6

5. Menon, D., Anand, B., & Chowdhary, C. L. (2023). Digital Twin: Exploring the Intersection of Virtual and Physical Worlds. IEEE Access. SCI Impact Factor: 3.476

6. DA, S. M., & Chowdhary, C. L. (2023). An Experimental Study on the Deviations in Performance of FNNS and CNNS in the Realm of Grayscale Adversarial Images. Journal of Engineering Science & Technology Review, 16(3). Scopus

7. Bebortta, S., Tripathy, S. S., Basheer, S., & Chowdhary, C. L. (2023). DeepMist: Towards Deep Learning Assisted Mist Computing Framework for Managing Healthcare Big Data. IEEE Access. SCI Impact Factor: 3.476

8. Chaurasia, A., Sharma, V. S., Chowdhary, C. L., Basheer, S., & Gadekallu, T. R. (2023). Non-Gaussian Traffic Modelling for Multicore Architecture Using Wavelet Based Rosenblatt Process. IEEE Access. SCI Impact Factor: 3.476

9. Swain, B.K., Khan, M. Z., Chowdhary, C.L., & Alsaeedi, A. (2023). SRC: Superior Robustness of COVID-19 Detection from Noisy Cough Data Using GFCC. COMPUTER SYSTEMS SCIENCE AND ENGINEERING, 46(2), 2337-2349.  SCI (Impact Factor: 4.397)  

10. Reddy, N. R., Khan, M. Z., Basha, S. S., Alahmadi, A., Alahmadi, A. H., & Chowdhary, C. L. (2023). The Laplacian Energy of Hesitancy Fuzzy Graphs in Decision-Making Problems. COMPUTER SYSTEMS SCIENCE AND ENGINEERING, 44(3), 2637-2653.  SCI (Impact Factor: 4.397) 

2022 

11. Khan, Y. F., Kaushik, B., Chowdhary, C. L., & Srivastava, G. (2022). Ensemble Model for Diagnostic Classification of Alzheimer’s Disease Based on Brain Anatomical Magnetic Resonance Imaging. Diagnostics, 12(12), 3193. SCI (Impact Factor: 3.992) 

12. Padinjappurathu Gopalan, S., Chowdhary, C. L., Iwendi, C., Farid, M. A., & Ramasamy, L. K. (2022). An efficient and privacy-preserving scheme for disease prediction in modern healthcare systems. Sensors, 22(15), 5574. SCI (Impact Factor: 3.847) 

13. Gadekallu, T. R., Srivastava, G., Liyanage, M., Iyapparaja, M., Chowdhary, C. L., Koppu, S., & Maddikunta, P. K. R. (2022). Hand gesture recognition based on a Harris hawks optimized convolution neural network. Computers and Electrical Engineering, 100, 107836. SCI (Impact Factor: 3.818) 

14. Chowdhary, C. L., Khare, N., Patel, H., Koppu, S., Kaluri, R., & Rajput, D. S. (2022). Past, present and future of gene feature selection for breast cancer classification–a survey. International Journal of Engineering Systems Modelling and Simulation, 13(2), 140-153. Scopus 

15. Chowdhary, C. L., & Srivatsan, R. (2022). Non-invasive Detection of Parkinson’s Disease Using Deep Learning. Scopus 

16. Iyapparaja, M., Alshammari, N. K., Kumar, M. S., Krishnan, S., Rama, S., & Chowdhary, C. L. (2022). Efficient resource allocation in fog computing using QTCS model. CMC-COMPUTERS MATERIALS & CONTINUA, 70(2), 2225-2239. SCI (Impact Factor: 3.772) 

2021

17. Bhattacharya, S., Maddikunta, P. K. R., Pham, Q. V., Gadekallu, T. R., Chowdhary, C. L., Alazab, M., & Piran, M. J. (2021). Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey. Sustainable cities and society, 65, 102589. SCI (Impact Factor: 7.587) 

18. Vishal Kumar Goar, Nagendra Singh Yadav, Chiranji Lal Chowdhary, Kumaresan P, & Mohit Mittal. (2021). An IoT and Artificial Intelligence based Patient Care System focused on COVID-19 Pandemic, International Journal of Networking and Virtual Organisations. Scopus 

19. Iyapparaja, M., Kumar, M. S., Siva, S., Chowdhary, C. L., Yoon, B. et al. (2021). FogQSYM: An Industry 4.0 Analytical Model for Fog Applications. CMC-Computers, Materials & Continua, 69(3), 3163–3178. SCI (Impact Factor: 3.772) 

20. Parimala, M., Swarna Priya, R. M., Praveen Kumar Reddy, M., Lal Chowdhary, C., Kumar Poluru, R., & Khan, S. (2021). Spatiotemporal-based sentiment analysis on tweets for risk assessment of event using deep learning approach. Software: Practice and Experience, 51(3), 550-570. SCI (Impact Factor: 2.028) 

21. Bebarta, D. K., Das, T. K., Chowdhary, C. L., & Gao, X. Z. (2021). An Intelligent Hybrid System for Forecasting Stock and Forex Trading Signals Using Optimized Recurrent FLANN and Case-Based Reasoning. International Journal of Computational Intelligence Systems. SCI (Impact Factor: 1.732) 

22. Shrimali, S., Pandey, A., & Chowdhary, C. L. (2021). K-means Clustering-based Radio Neutron Star Pulsar Emission Mechanism. Recent Advances in Computer Science and Communications (Formerly: Recent Patents on Computer Science), 14(1), 201-207. Scopus 

23. Swain, B. K., Mohanty, S., & Chowdhary, C. L. (2021). Isolated Word-Based Spoken Dialogue System Using Odia Phones. Recent Advances in Computer Science and Communications (Formerly: Recent Patents on Computer Science), 14(6), 1912-1918. Scopus 

24. Panigrahi, R., Borah, S., Bhoi, A. K., Ijaz, M. F., Pramanik, M., Jhaveri, R. H., & Chowdhary, C. L. (2021). Performance Assessment of supervised classifiers for designing intrusion detection systems: A comprehensive review and recommendations for future research. Mathematics, 9(6), 690. SCI (Impact Factor: 2.258) 

2020

25. Chowdhary, C. L., Patel, P. V., Kathrotia, K. J., Attique, M., Perumal, K., & Ijaz, M. F. (2020). Analytical study of hybrid techniques for image encryption and decryption. Sensors, 20(18), 5162. SCI (Impact Factor: 3.275) 

26. RM, S. P., Maddikunta, P. K. R., Parimala, M., Koppu, S., Gadekallu, T. R., Chowdhary, C. L., & Alazab, M. (2020). An effective feature engineering for DNN using hybrid PCA-GWO for intrusion detection in IoMT architecture. Computer Communications, 160, 139-149. SCI (Impact Factor: 3.167) 

27. Reddy, T., RM, S. P., Parimala, M., Chowdhary, C. L., Hakak, S., & Khan, W. Z. (2020). A deep neural networks based model for uninterrupted marine environment monitoring. Computer Communications, 157, 64-75. SCI (Impact Factor: 3.167) 

28. Chowdhary, C. L., & Acharjya, D. P. (2020). Segmentation and feature extraction in medical imaging: a systematic review. Procedia Computer Science, 167, 26-36. Scopus 

29. Khare, N., Devan, P., Chowdhary, C. L., Bhattacharya, S., Singh, G., Singh, S., & Yoon, B. (2020). Smo-dnn: Spider monkey optimization and deep neural network hybrid classifier model for intrusion detection. Electronics, 9(4), 692. SCI (Impact Factor: 1.938) 

30. Chowdhary, C. L., Mittal, M., Pattanaik, P. A., & Marszalek, Z. (2020). An efficient segmentation and classification system in medical images using intuitionist possibilistic fuzzy C-mean clustering and fuzzy SVM algorithm. Sensors, 20(14), 3903.SCI (Impact Factor: 3.167) 

31. Das, T. K., Chowdhary, C. L., & Gao, X. Z. (2020). Chest X-Ray Investigation: A Convolutional Neural Network Approach. In Journal of Biomimetics, Biomaterials and Biomedical Engineering (Vol. 45, pp. 57-70). Trans Tech Publications Ltd. Scopus 

32. Rama Krishnan Somayaji, S., Alazab, M., MK, M., Bucchiarone, A., Lal Chowdhary, C., & Reddy Gadekallu, T. (2020). A Framework for Prediction and Storage of Battery Life in IoT Devices using DNN and Blockchain. arXiv e-prints, arXiv-2011. 

2019

33. Chowdhary, C. L. (2019). 3D object recognition system based on local shape descriptors and depth data analysis. Recent Patents on Computer Science, 12(1), 18-24. Scopus 

34. Chowdhary, C. L., Goyal, A., & Vasnani, B. K. (2019). Experimental assessment of beam search algorithm for improvement in image caption generation. Journal of Applied Science and Engineering, 22(4), 691-698. Scopus 

35. Chowdhary, C. L. (2019). Artificial Intelligence and Machine Learning: Recent Advances and Applications (Part 1). Recent Patents on Computer Science, 12(1), 3-4. Scopus 

36. Chowdhary, C. L., Das, T. K., Gurani, V. K., & Ranjan, A. (2018). An efficient approach for lung nodule detection on CT images. Research Journal of Pharmacy and Technology, 11(8), 3263-3267. Scopus 

2018

37. Chowdhary, C. L., Das, T. K., Gurani, V., & Ranjan, A. (2018). An improved tumour identification with Gabor wavelet segmentation. Research Journal of Pharmacy and Technology, 11(8), 3451-3456. Scopus 

2017

38. Chowdhary, C. L., & Acharjya, D. P. (2017). Clustering algorithm in possibilistic exponential fuzzy c-mean segmenting medical images. In Journal of Biomimetics, biomaterials and biomedical engineering (Vol. 30, pp. 12-23). Trans Tech Publications Ltd. Scopus 

2016

39. Chowdhary, C. L., & Acharjya, D. P. (2016). A hybrid scheme for breast cancer detection using intuitionistic fuzzy rough set technique. International Journal of Healthcare Information Systems and Informatics (IJHISI), 11(2), 38-61. Scopus 

40. Chowdhary, C. L., Sai, G. V. K., & Acharjya, D. P. (2016). Decreasing false assumption for improved breast cancer detection. J. Sci. Arts, 35(2), 157-176. Scopus 

41. Chowdhary, C. L., Ranjan, A., & Jat, D. S. (2016). Categorical Database Information-Theoretic Approach of Outlier Detection Model. Ann. Comput. Sci. Ser, 2016, 29-36. 

42. Chowdhary, C. L. (2016). A review of feature extraction application areas in medical imaging. International Journal of Pharmacy and Technology, 8(3), 4501-4509. Scopus 

2013

43. Chowdhary, C. L., & Mouli, P. C. (2013). Image Registration with New System for Ensemble of Images of Multi-Sensor Registration. World Applied Sciences Journal, 26(1), 45-50. Scopus 

44. Chandrasekhar, U., & CHOWDHARY, L. (2013). Classification of ECG Beats using Features from Two-stage Two-band Wavelet Decomposition. Journal of Theoretical and Applied Information Technology, 49(3). Scopus 

2011

45. Chowdhary, C. L. (2011). Linear feature extraction techniques for object recognition: study of PCA and ICA. Journal of the Serbian Society for Computational Mechanics, 5(1), 19-26. 

National Journals (Peer Reviewed): 03 

1. Chowdhary, C. L., Shynu, P. G., & Gurani, V. K. (2020). Exploring breast cancer classification of histopathology images from computer vision and image processing algorithms to deep learning. International Journal of Advanced Science and Technology, 29(3), 43-48. textcolorgreenScopus 

2. Singh, B., Bhattacharya, S., Chowdhary, C. L., & Jat, D. S. (2017). A review on internet of things and its applications in healthcare. Journal of Chemical and Pharmaceutical Sciences, 10(1), 447-452. 

3. Das, T. K., & Chowdhary, C. L. (2017). Implementation of Morphological Image Processing Algorithm using Mammograms. Journal of Chemical and Pharmaceutical Sciences, 10(1), 439-441.