Research Contribution

1. M. Patel, K. Jariwala, and C. Chattopadhyay, “A systematic review on graph neural network-based methods for stock market forecasting,” ACM Computing Surveys, vol. 57, no. 2, Art. no. 34, Feb. 2025. [SCI]

2. M. Patel, K. Jariwala, and C. Chattopadhyay, “An approach toward stock market prediction and portfolio optimization in Indian financial sectors,” IEEE Transactions on Computational Social Systems, vol. 12, no. 1, pp. 128–139, Feb. 2025. [SCIE]

3. M. Patel, S. Goyal, K. Jariwala, and C. Chattopadhyay, “A multi relational graph-based approach for stock movement prediction and portfolio optimization,” Neurocomputing, vol. 652, 2025  [SCIE]

4. M. Patel, K. Jariwala, and C. Chattopadhyay, “A hybrid relational approach toward stock price prediction and profitability,” IEEE Transactions on Artificial Intelligence, vol. 5, no. 11, pp. 5844–5854, Nov. 2024. [Scopus]

5. G. Buddhawar, K. N. Jariwala, and C. Chattopadhyay, “Enhancing book and document digitization from videos: A feature fusion-based approach,” International Journal of Engineering, vol. 37, no. 3, pp. 538–545, 2024  [ESCI]

6. G. Buddhawar, D. Dave, K. N. Jariwala, and C. Chattopadhyay, “Predictive analysis for optimal text visibility: A comprehensive study on frame-of-interest prediction in book digitization videos,” International Journal of Engineering, vol. 37, no. 11, pp. 2256–2267, 2024. [ESCI]

7. R. Khade, K. N. Jariwala, and C. Chattopadhyay, “An interactive floor plan image retrieval framework based on structural features,” Arabian Journal for Science and Engineering, vol. 48, pp. 1–17, 2023. [SCIE]

8. A. Kalsekar, R. Khade, K. N. Jariwala, and C. Chattopadhyay, “RISC-Net: Rotation invariant Siamese convolution network for floor plan image retrieval,” Multimedia Tools and Applications, vol. 81, no. 28, pp. 41199–41223, 2022. [SCIE]

9. R. Khade, K. N. Jariwala, C. Chattopadhyay, and U. Pal, “A rotation and scale invariant approach for multi-oriented floor plan image retrieval,” Pattern Recognition Letters, vol. 145, pp. 1–7, 2021. [SCIE]

10. S. P. Patil and K. N. Jariwala, “Improving the performance of image and video forgery detection using hybrid convolutional neural networks,” International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. 29, pp. 101–117, 2021. [SCIE]

11. S. P. Patil and K. N. Jariwala, “Copy-move forgery detection (CMFD) using hybrid feature extraction method,” in Lecture Notes in Electrical Engineering, vol. 15, no. 2, pp. 21–27, 2021. [Scopus]

12. S. R. Lahane and K. N. Jariwala, “A novel cross-layer cross-domain routing model and its optimization for cluster-based dense wireless sensor network,” Wireless Personal Communications, vol. 118, no. 4, pp. 2765–2784, 2021. [SCIE]

13. S. R. Lahane and K. N. Jariwala, “Secured cross-layer cross-domain routing in dense wireless sensor network: A new hybrid-based clustering approach,” International Journal of Intelligent Systems, vol. 36, no. 8, pp. 3789–3812, 2021. [SCIE]

14. S. R. Lahane and K. N. Jariwala, “Integrating beetle swarm optimization in cross-layer design routing protocol to improve quality of service in clustered wireless sensor networks,” Ad Hoc & Sensor Wireless Networks, vol. 49, 2021. [SCIE]

15. S. P. Patil and K. N. Jariwala, “Design of a machine learning layer to optimize forgery detection in videos,” Journal of Interdisciplinary Mathematics, vol. 23, no. 1, pp. 43–52, 2020. [ESCI]

16. S. P. Patil and K. N. Jariwala, “Adaptive keypoint selection for detection of tampering in images and videos,” International Journal of Innovative Technology and Exploring Engineering, vol. 8, pp. 235–239, 2019. [Scopus]

17. S. P. Patil and K. N. Jariwala, “Image tampering detection techniques: A statistical review,” HELIX International Journal of Research and Development, vol. 9, no. 3, pp. 5004–5008, 2019. [WoS]

18. R. V. Khandre and K. N. Jariwala, “Image similarities and duplication in web based searching,” International Journal of Advances in Electronics and Computer Science, vol. 5, no. 4, pp. 18–22, 2018. [WoS]

19. R. Khade and K. N. Jariwala, “A survey on practices of document image splitting,” International Journal of Science and Innovative Engineering & Technology, vol. 4, 2018. 

20. S. P. Patil and K. N. Jariwala, “Review on Marathi and Sanskrit word recognition using genetic algorithm,” International Journal of Advances in Electronics and Computer Science, vol. 5, no. 3, pp. 2393–2835, 2018. 

21. S. P. Patil and K. N. Jariwala, “Identification of Marathi and Sanskrit compound and non-compound word using genetic algorithm,” International Journal of Advances in Electronics and Computer Science, vol. 5, no. 3, pp. 2393–2835, 2018. 

22. S. P. Patil and K. N. Jariwala, “Handwritten English, Marathi and Sanskrit word recognition using artificial neural network and feature extraction,” International Journal of Advances in Science, Engineering and Technology, vol. 6, 2018. 

23. S. P. Patil and K. N. Jariwala, “Digital image forgery detection using passive techniques by means of key point classification,” Elixir Computer Engineering, vol. 117, pp. 50389–50391, 2018. 

24. S. P. Patil and K. N. Jariwala, “Survey of methods used for investigating quantization artifacts for forgery localization in compressed images,” International Journal of Advanced Computational Engineering and Networking, vol. 6, no. 3, 2018. 

25. S. R. Lahane and K. N. Jariwala, “Cross layer design approach for routing optimization in wireless sensor network,” International Journal of Advanced Computational Engineering and Networking, vol. 6, no. 3, pp. 41–48, 2018. 

1. G. Buddhawar, Dharin Dave, K. Jariwala, and C. Chattopadhyay, "A Spatio-Temporal Explainable Deep Learning Approach for Frame Classification from Book Flipping Videos", International Conference on Soft Computing and its Engineering Applications (icSoftComp), Bangkok, Thailand, Dec 2024, Springer.

2. G. Buddhawar, K. Jariwala, and C. Chattopadhyay, “Clear text visibility: A CNN-LSTM approach for frame of interest identification in book flipping videos,” in Proceedings of the 2024 International Conference on Modeling, Simulation and Intelligent Computing (MoSICom), Dubai, United Arab Emirates, Dec. 2024. IEEE.

3. G. Buddhawar, K. Jariwala, and C. Chattopadhyay, “A spatio-temporal explainable deep learning approach for frame classification from book flipping videos,” in Proceedings of the Sixth International Conference on Soft Computing and its Engineering Applications (icSoftComp 2024), Bangkok, Thailand, Dec. 2024. Springer.

4. M. Patel, K. N. Jariwala, and C. Chattopadhyay, “Advancing Indian stock market prediction with TRNet: A graph neural network model,” in Proceedings of the 2023 International Conference on Modeling, Simulation and Intelligent Computing (MoSICom), Dubai, United Arab Emirates, Dec. 2023, pp. 173–178. IEEE. 

5. M. Patel, K. N. Jariwala, and C. Chattopadhyay, “MSNet: Momentum spillover network for Indian stock market movement prediction,” in Proceedings of the 2023 IEEE 20th India Council International Conference (INDICON), Hyderabad, India, Dec. 2023, pp. 615–620. IEEE. 

6. R. Khade, K. N. Jariwala, and C. Chattopadhyay, “Autoencoders in graphical document retrieval: Cost function influence and rotation impact,” in Proceedings of the 2023 International Conference on Modeling, Simulation and Intelligent Computing (MoSICom), Dubai, United Arab Emirates, Dec. 2023, pp. 240–245. IEEE.

7. R. Khade, A. Kalsekar, K. N. Jariwala, and C. Chattopadhyay, “FLEXNet: Learning deep features using autoencoders for floor plan image retrieval,” in Proceedings of the 2023 IEEE Global Conference on Computing, Power and Communication Technologies (GCON), Guwahati, India, Jun. 2023. IEEE.

8. M. Patel, K. N. Jariwala, and C. Chattopadhyay, “SM2PNet: A deep learning approach towards Indian stock market movement prediction,” in Proceedings of the 2023 3rd International Conference for Convergence in Technology (I2CT), Pune, India, Apr. 2023, IEEE.

9. M. Patel, K. N. Jariwala, and C. Chattopadhyay, “Deep learning techniques for stock market forecasting: Recent trend and challenges,” in Proceedings of the 2023 International Conference on Software Engineering and Information Management (ICSIM), Palmerston North, New Zealand, Jan. 2023. IEEE.

10. G. Buddhawar, K. N. Jariwala, and C. Chattopadhyay, “Some aspects of text recognition from video document in Education 4.0,” in Proceedings of the 2021 International Conference on Emerging Trends in Industry 4.0 (ETI 4.0), Raigad, India, May 2021, pp. 1–5. IEEE.

11. S. P. Mudnur, S. R. Goyal, K. N. Jariwala, W. D. Patel, and B. Ramani, “Extraction of maximum secret information hidden in approximate band of Haar wavelet transform of an image,” in Proceedings of the 2018 International Conference on Information and Communication Technology (CICT), Jeju Island, South Korea, Oct. 2018, pp. 1–5. IEEE.

12. S. R. Lahane and K. N. Jariwala, “Network structured based routing techniques in wireless sensor network,” in Proceedings of the 2018 Third International Conference for Convergence in Technology (I2CT), Pune, India, Apr. 2018, pp. 1–6. IEEE.

13. S. P. Mudnur, S. R. Goyal, K. N. Jariwala, W. D. Patel, and B. Ramani, “Hiding the secret image using two cover images for enhancing the robustness of the stego image using Haar DWT and LSB techniques,” in Proceedings of the 2018 International Conference on Information and Communication Technology (CICT), Jeju Island, South Korea, Oct. 2018, pp. 1–4. IEEE.

14. K. Jariwala, U. Dalal, and A. Vincent, “A robust eye gaze estimation using geometric eye features,” in Proceedings of the 2016 Third International Conference on Digital Information Processing, Data Mining, and Wireless Communications (DIPDMWC), Pune, India, Jul. 2016, pp. 142–147. IEEE.

1. J. Chawla, R. Bakoliya, J. Jat, J. Jinjala, M. Patel, and K. N. Jariwala, “Upscaling profits in financial market,” in Artificial Intelligence for Capital Markets, CRC Press, Chapman & Hall, 2023, pp. 41–56.

2. S. Deshpande, R. G. Khade, K. N. Jariwala, and C. Chattopadhyay, “Learning deep representation using a fully convolutional autoencoder for automated floor plan image retrieval,” in Proceedings of the 6th International Conference on Computer and Communication Systems (ICCCS 2021), Special Session on Intelligent Information Processing, Chengdu, China, Apr. 2021. IEEE.

3. M. Sharma, S. Nipane, K. N. Jariwala, and R. Khade, “DLC re-builder: Sketch based recognition and 2-D conversion of digital logic circuit,” in Proceedings of the 10th International Conference on Advanced Computing (IACC 2020), Panaji, India, Dec. 2020, Revised Selected Papers, Part II, 2021, pp. 200–214, Springer.

Patent :

1. Moblie Stand for Document Digitization - Gaurav Buddhawar, Krupa Jariwala, Sudeep Thepade, Chiranjoy Chattopadhyay, Design No : 373169-001, Certificate of Registration of Design, Govt of India.

Copyright :

1. Improving the Efficiency of Forgery Detection in Images and Videos Using Reinforcement Machine Learning Algorithm, Sonal Patil, Krupa Jariwala, Registration No: L-91685/2021, Copywrite Office, Govt of India.