Identification of Brain Diseases using Image Classification: A Deep Learning Approach. - Jagendra Singh; Akansha Singh; Krishna Kant Singh; Bechoo Lal; Rithwik Arthur William; Anil V. Turukmane; Advait Kumar (ICMLDE, 2023)

Fake News Detection Using Transfer Learning. - Jagendra Singh; Dinesh Prasad Sahu; Tanya Gupta; Dev Singhal; Bechoo Lal; Anil V. Turukmane (RTIP2R (1), 2023)

Various Active Learning Strategies Analysis in Image Labeling: Maximizing Performance with Minimum Labeled Data. - Arnav Tyagi; Harshvardhan Aditya; Nitin Arvind Shelke; Rishabh Khandelwal; Jagendra Singh; Yagna Jadeja; Anil V. Turukmane (RTIP2R (1), 2023)

Reinforced Hybrid Graph Transformer for Medical Recommendations. - Anil V. Turukmane; Sagar Pande; Vaidehi Bedekar; Aditya Kadam (EAI Endorsed Trans. Pervasive Health Technol., 2023)

Forecasting the IoT-based cyber threats using the hybrid forage dependent ensemble classifier. - Anil V. Turukmane (Concurr. Comput. Pract. Exp., 2023)

Improving migration forecasting for transitory foreign tourists using an Ensemble DNN-LSTM model. - Yashwanth Nanjappa; Vinay Kumar Nassa; Gunjan Varshney; Bechoo Lal; S. Pandey; Anil V. Turukmane (Entertain. Comput., 2024)

Dugat-LSTM: Deep learning based network intrusion detection system using chaotic optimization strategy. - Ramkumar Devendiran; Anil V. Turukmane (Expert Syst. Appl., 2024)

M-MultiSVM: An efficient feature selection assisted network intrusion detection system using machine learning. - Anil V. Turukmane; Ramkumar Devendiran (Comput. Secur., 2024)

Modified MobileNetV2 transfer learning model to detect road potholes. - Neha Tanwar; Anil V. Turukmane (PeerJ Comput. Sci., 2025)