A Stacked Autoencoder Neural Network based Automated Feature Extraction Method for Anomaly detection in On-line Condition Monitoring. - Mohendra Roy; Sumon Kumar Bose; Bapi Kar; Pradeep Kumar Gopalakrishnan; Arindam Basu (SSCI, 2018)

ADEPOS: anomaly detection based power saving for predictive maintenance using edge computing. - Sumon Kumar Bose; Bapi Kar; Mohendra Roy; Pradeep Kumar Gopalakrishnan; Arindam Basu (ASP-DAC, 2019)

Live Demonstration: Autoencoder-Based Predictive Maintenance for IoT. - Pradeep Kumar Gopalakrishnan; Bapi Kar; Sumon Kumar Bose; Mohendra Roy; Arindam Basu (ISCAS, 2019)

ADEPOS: A Novel Approximate Computing Framework for Anomaly Detection Systems and its Implementation in 65nm CMOS. - Sumon Kumar Bose; Bapi Kar; Mohendra Roy; Pradeep Kumar Gopalakrishnan; Lei Zhang; Aakash Patil; Arindam Basu (CoRR, 2019)

ANNSESDIHM: An Artificial Neural Network based Signal Enhancement Scheme for Digital Inline Holography (DIH) Microscope. - Varun Chauhan; Smit Sanghavi; Jeanie Jessica; Dongmin Seo; Sungkyu Seo; Mohendra Roy (ICHI, 2020)

An Optimized Neural Network Architecture for Auto Characterization of Biological Cells in Digital Inline Holography Micrographs. - Rajkumar Vaghashiya; Kaushal Kapadiya; Ishita Nandwani; Riya Thakore; Dongmin Seo; Sungkyu Seo; Mohendra Roy (ICHI, 2020)

ADIC: Anomaly Detection Integrated Circuit in 65nm CMOS utilizing Approximate Computing. - Bapi Kar; Pradeep Kumar Gopalakrishnan; Sumon Kumar Bose; Mohendra Roy; Arindam Basu (CoRR, 2020)

ADEPOS: A Novel Approximate Computing Framework for Anomaly Detection Systems and its Implementation in 65-nm CMOS. - Sumon Kumar Bose; Bapi Kar; Mohendra Roy; Pradeep Kumar Gopalakrishnan; Lei Zhang; Aakash Patil; Arindam Basu (IEEE Trans. Circuits Syst. I Regul. Pap., 2020)

ADIC: Anomaly Detection Integrated Circuit in 65-nm CMOS Utilizing Approximate Computing. - Bapi Kar; Pradeep Kumar Gopalakrishnan; Sumon Kumar Bose; Mohendra Roy; Arindam Basu (IEEE Trans. Very Large Scale Integr. Syst., 2020)

Role of Artificial Intelligence Based Wireless Sensor Network for Pandemic Control: A Case Study Using CupCarbon. - Paawan Sharma; Hardik Patel; Mohendra Roy (Use of AI, Robotics, and Modern Tools to Fight Covid-19, 2021)

Glioblastoma Multiforme Patient Survival Prediction. - Snehal Rajput; Rupal Agravat; Mohendra Roy; Mehul S. Raval (MICAD, 2021)

A Hybrid CNN-LSTM model for Video Deepfake Detection by Leveraging Optical Flow Features. - Pallabi Saikia; Dhwani Dholaria; Priyanka Yadav; Vaidehi Patel; Mohendra Roy (IJCNN, 2022)

Modelling Social Context for Fake News Detection: A Graph Neural Network Based Approach. - Pallabi Saikia; Kshitij Gundale; Ankit Jain; Dev Jadeja; Harvi Patel; Mohendra Roy (IJCNN, 2022)

Artificial Intelligence Powered Material Search Engine. - Mohendra Roy (CoRR, 2022)

Machine learning based lens-free imaging technique for field-portable cytometry. - Rajkumar Vaghashiya; Sanghoon Shin; Varun Chauhan; Kaushal Kapadiya; Smit Sanghavi; Sungkyu Seo; Mohendra Roy (CoRR, 2022)

Artificial Intelligence in Material Engineering: A review on applications of AI in Material Engineering. - Lipichanda Goswami; Manoj Deka; Mohendra Roy (CoRR, 2022)

Multi-view brain tumor segmentation (MVBTS): An ensemble of planar and triplanar attention UNets. - Snehal Rajput; Rupal Kapdi; Mehul S. Raval; Mohendra Roy (Turkish J. Electr. Eng. Comput. Sci., 2023)

Interpreting Survival Predictor Model for Glioblastoma Using Explainable Artificial Intelligence. - Snehal Rajput; Rupal Kapdi; Mehul S. Raval; Mohendra Roy (ICPR (Workshops and Challenges, 2), 2024)

Deriving and interpreting robust features for survival prediction of brain tumor patients. - Snehal Rajput; Rupal Kapdi; Mehul S. Raval; Mohendra Roy; Jayendra M. Bhalodiya (Int. J. Imaging Syst. Technol., 2024)

Dataset for various grit-size Abrasive sheets. - Paawan Sharma; Mohendra Roy; Mehul S. Raval (IEEE DataPort, 2024)