An Empirical Comparison of off-the-shelve Semantic Similarity methods for down-streaming Meeting Similarity. - Aditya Upadhyay; Aakash Bhatnagar; Nidhir Bhavsar; Muskaan Singh (PACLIC, 2022)

Privacy and Security Concerns in Edge Computing-Based Smart Cities. - Ashutosh Kumar; Aditya Upadhyay; Neha Mishra; Srawan Nath; Kalu Ram Yadav; Gajanand Sharma (Robotics and AI for Cybersecurity and Critical Infrastructure in Smart Cities, 2022)

Short Term Load Forecasting for Smart Grids Using Apache Spark and a Modified Transformer Model. - Aditya Upadhyay; Dhruv Garg; Mukesh Singh (Comput. Informatics, 2023)

A novel deep learning approach to predict subject arm movements from EEG-based signals. - Sachin Kansal; Dhruv Garg; Aditya Upadhyay; Snehil Mittal; Guneet Singh Talwar (Neural Comput. Appl., 2023)

DL-AMPUT-EEG: Design and development of the low-cost prosthesis for rehabilitation of upper limb amputees using deep-learning-based techniques. - Sachin Kansal; Dhruv Garg; Aditya Upadhyay; Snehil Mittal; Guneet Singh Talwar (Eng. Appl. Artif. Intell., 2023)

Cognitive framework and learning paradigms of plant leaf classification using artificial neural network and support vector machine. - Gajanand Sharma; Ashutosh Kumar; Nidhi Gour; Ashok Kumar Saini; Aditya Upadhyay; Ankit Kumar (J. Exp. Theor. Artif. Intell., 2024)