Sequencing of items in personalized recommendations using multiple recommendation techniques. - Anand Shanker Tewari; Asim Gopal Barman (Expert Syst. Appl., 2018)

Risk Identification of Diabetic Macular Edema Using E-Adoption of Emerging Technology. - Amit Kumar; Anand Shanker Tewari (Int. J. E Adopt., 2022)

User-centric hybrid semi-autoencoder recommendation system. - Anand Shanker Tewari; Ityendu Parhi; Fadi Al-Turjman 001; Kumar Abhishek 004; Muhammad Rukunuddin Ghalib; Achyut Shankar (Multim. Tools Appl., 2022)

Tomato Leaf Disease Detection using Enhanced Weight Assignment Based Loss Calculation Method. - Shashank Yadav; Anand Shanker Tewari; Abhineet Verma (ICCCNT, 2023)

An autoencoder-based deep learning model for solving the sparsity issues of Multi-Criteria Recommender System. - Ishwari Singh Rajput; Anand Shanker Tewari; Arvind Kumar Tiwari (ICMLDE, 2023)

Classifying diabetic macular edema grades using extended power of deep learning. - Amit Kumar; Anand Shanker Tewari (Multim. Tools Appl., 2024)

Lightweight Convolutional Neural Network Model for Cassava Leaf Diseases Classification. - Anand Shanker Tewari (SN Comput. Sci., 2024)

Lightweight modified attention based deep learning model for cassava leaf diseases classification. - Anand Shanker Tewari; Priya Kumari (Multim. Tools Appl., 2024)

Collapsed lung disease classification by coupling denoising algorithms and deep learning techniques. - Upasana Chutia; Anand Shanker Tewari; Jyoti Prakash Singh (Netw. Model. Anal. Health Informatics Bioinform., 2024)

NSGA-II optimized deep autoencoders for enhanced multi-criteria recommendation system. - Ishwari Singh Rajput; Anand Shanker Tewari; Arvind Kumar Tiwari (Comput. Electr. Eng., 2025)

Adaptive Attention Mechanisms Based Multicriteria Recommender Systems for Improved User Preference Discovery. - Ishwari Singh Rajput; Anand Shanker Tewari; Arvind Kumar Tiwari (SN Comput. Sci., 2025)