Sr. No.

Details of Publications

1

M. Mehta, D. Gada, R. Sharma, K. Chavan, and P. Kanani, "Offense detection using BERT and CNN,” in Proc. IEEE 3rd Global Conf. Advancement in Technology (GCAT), 2022, pp. 1–5.

2

J. Jain, R. Parekh, J. Parekh, S. Shah, and P. Kanani, "Helmet detection and license plate extraction using machine learning and computer vision,” in Proc. Int. Conf. Cognition and Recognition, Cham, Switzerland: Springer, 2021, pp. 258–268.

3

S. Shah, S. Shah, S. Uppoor, A. Desai, and P. Kanani, "Navigation of 3D brain MRI images during surgery using hand gestures,” in Proc. 1st Int. Conf. Computational Applied Sciences and Its Applications, vol. 2768, no. 1, AIP Publishing, 2023, Art. no. 020028.

4

N. Desai, N. Kothari, P. Kanani, B. L. Kurup, D. Kale, and N. Raichada, "Important feature recognition for credit card recommendation system using predictive modelling,” Int. J. Intelligent Systems and Applications in Engineering, vol. 12, no. 13s, pp. 752–759.

5

B. Shah, P. Kanani, P. Joshi, G. Pandya, D. Kulkarni, N. Patil, and L. Kurup, "Traditional Indian food classification using shallow convolutional neural network,” Int. J. Intelligent Systems and Applications in Engineering, vol. 12, no. 12s, p. 769, 2024.

6

D. Panchal, N. Kothari, D. Gada, P. Kanani, L. Kurup, D. Sankhe, and G. Pandya, "MobileNet-based transfer learning: A novel approach for improved Alzheimer’s disease classification from brain imaging,” Int. J. Intelligent Systems and Applications in Engineering, vol. 12, no. 3, pp. 2777–2783.

7

N. Marathe, N. Kulkarni, N. Rathod, J. Jadhav, P. Kanani, and S. G. Rathod, "Adaptive multidimensional trust-based recommendation model for peer-to-peer applications,” Open Engineering, vol. 14, no. 1, 2024.

8

P. Kanani, J. R. Saini, D. Sankhe, D. Patil, G. Pandya, A. Nanade, and B. Shah, "Assessing AODV protocol suitability for collision avoidance systems,” Int. J. Intelligent Systems and Applications in Engineering, vol. 12, no. 10s, p. 644, 2024.

9

S. Godbole, A. Kattukaran, S. Savla, V. Pradhan, P. Kanani, and D. Patil, "Enhancing paediatric pneumonia detection and classification using customized CNNs and transfer learning-based ensemble models,” Int. Res. J. Multidisciplinary Technovation, vol. 6, no. 6, pp. 38–53, 2024.

10

B. Jain, P. Pawar, D. Gada, T. Patwa, P. Kanani, D. Patil, and L. Kurup, "Comprehensive analysis of machine learning and deep learning models on prompt injection classification using natural language processing techniques,” Int. Res. J. Multidisciplinary Technovation, vol. 7, no. 2, pp. 24–37, 2025.

11

S. Dhekane and A. Khandare, "Applied machine learning in EEG data classification to classify major depressive disorder by critical channels,” J. Electronics, Electromedical Engineering, and Medical Informatics, vol. 7, no. 3, pp. 581–596, 2025.

12

O. Ansari, H. Patel, T. Maroo, M. Panchal, and N. Raichada, "SyncVox: Synchronized AI based video dubbing,” in ICT Systems and Sustainability (ICT4SD 2025), Lecture Notes in Networks and Systems, vol. 1648, Springer, Cham, 2026.

13

S. Godbole, J. Gandhi, J. Shah, N. Harisinghani, and D. Patil, "AetherRec: Specialization-aware constraint-based recommendations for optimal business collaborations,” in Proc. Int. Conf. Artificial Intelligence and Machine Vision (AIMV), Gandhinagar, India, 2025, pp. 1–6.

14

Y. Shah, A. Shah, D. Shah, D. Doshi, and D. Patil, "Attention-based anomaly detection using hybrid models in multivariate time series data,” in Proc. Int. Conf. Artificial Intelligence and Machine Vision (AIMV), Gandhinagar, India, 2025, pp. 1–6.

15

S. Dhekane and A. Khandare, "Optimized EEG-based depression detection and severity staging using GAN-augmented neuro-fuzzy and deep learning models,” J. Electronics, Electromedical Engineering, and Medical Informatics, vol. 7, no. 4, pp. 1112–1129, Sep. 2025.

16

A. Dubey, A. Ambasta, J. Soni, P. Doshi, M. R. Rane, and P. Kanani, "A hybrid semantic–rule-based NLP framework integrating DFCI and MSKCC approaches for clinical trial matching using UMLS and FAISS,” Ingénierie des Systèmes d'Information, vol. 30, no. 9, 2025.

17

P. Bindroo, R. Bhuva, S. Savant, and P. Kanani, "DecepTech AI: Advancing lie detection through multimodal nonverbal behavior analysis,” in Proc. Int. Conf. AI and Robotics (AIR 2025), Lecture Notes in Networks and Systems, vol. 1629, Springer, Cham, 2025.

18

A. Mendonca, A. Gawde, N. Mehta, N. Koul, R. Parmar, and N. Raichada, "Advancing educational inclusion: Integrating Indian sign language with spoken language through LSTM neural networks,” in ICT Analysis and Applications (ICT4SD 2025), Lecture Notes in Networks and Systems, vol. 1652, Springer, Cham, 2026.

19

A. Venkitaramanan, A. Vaidya, D. Jain, H. Chitaliya, S. Tiwari, and D. Kale, "Enhancing legal services with AI: Integrating attorney match, case analysis and document drafting,” in Proc. Int. Conf. Artificial Intelligence and Machine Vision (AIMV), 2025.

20

D. Dihora, A. Nisar, B. Shah, D. Doshi, D. Patil, and M. Rane, "GreenGuard: An AI-driven interactive chatbot for real-time crop disease detection using AGDFNet,” in Data Science and Applications (ICDSA 2025), Lecture Notes in Networks and Systems, vol. 1795, S. J. Nanda, R. P. Yadav, M. Prasad, and M. Saraswat, Eds., Springer, Cham, 2026.

21

D. Sankhe, S. Bhosale, M. Rane, R. Ravikumar, and P. Kanani, "Hardware-in-the-loop simulation and FPGA implementation of a single-phase PFC controller,” Journal Européen des Systèmes Automatisés, vol. 58, no. 9, pp. 1961–1974, 2025.

22

Y. Buddhadev, H. Chitaliya, V. Kotha, D. Sankhe, P. Nasikkar, P. Kanani, and M. Rane, "Automated compliance checking of unstructured data using large language models and Langchain,” Mathematical Modelling of Engineering Problems, vol. 12, no. 9, pp. 3237–3246, 2025

Sr. no

Details

1

The work titled "Enhancing Legal Services with AI: Integrating Attorney Matching, Case Analysis, and Document Drafting” is copyrighted by Dashrath Kale, Arya Vaidya, Deep Jain, Harsh Chitaliya, Anushri Venkitaramanan, and Satyavrat Tiwari on June 10, 2025.

2

The work titled "F..I.N.D.E.R (Food Industry Network for Digital Recommendation)" is copyrighted by Dashrath Kale & Sudhir Dhekane with Ayaan Zaveri, Rachit Doshi, Swayam Shah, and Pratham Malavia on dated 15-09-2025.

3

The work titled "Deep Learning in Fashion: Multi-Domain Integration for Classification, Forecasting, and Virtual Try-Ons” is copyrighted by Nikita Raichada, Ashna Aglawe, Miral Gopani, Sakshi Patel, and Gaurav Singh Khati, dated 19 August 2025.