Sign Language Recognition: Current State of Knowledge and Future Directions. - Bhawna Jain; Manya Chandna; Abantika Dasgupta; Kashish Bansal (ICCCNT, 2023)

Comparative Study of CNN Architectures For Driver Drowsiness. - Bhawna Jain; Archana Yadav; Ritu Gill (ICCCNT, 2023)

A Comprehensive Review of Machine Learning Techniques for Voice-Based Gender Recognition. - Nandita; Bhawna Jain (ICCCNT, 2023)

ECAPA-Based Speaker Verification of Virtual Assistants: A Transfer Learning Approach. - Drishti Rani; Bhawna Jain; Harshita Verma; Sona Varshney (ICCCNT, 2023)

Evaluating Bert and GPT-2 Models for Personalised Linkedin Post Recommendation. - Prerna Singh; Bhawna Jain; Kirti Sinha (ICCCNT, 2023)

Examining deep learning's capability to spot code smells: a systematic literature review. - Ruchika Malhotra; Bhawna Jain; Marouane Kessentini (Clust. Comput., 2023)

iA-HLD: an improved AlexNet for hairline fracture detection in orthopedic images. - Bhawna Jain; Diksha Malik; Ganiti Jagota; Gyanvi; Ishita Chandra (Neural Comput. Appl., 2024)

QEFS: A novel plant disease prediction approach using quantum-inspired evolutionary feature selection. - Khushi Anand; Bhawna Jain; Himanshu Mittal; Vijay Kumar Yadav 004 (Appl. Intell., 2025)

QNet: exploring deep learning for quantum code smell detection. - Ruchika Malhotra; Bhawna Jain; Marouane Kessentini (Softw. Qual. J., 2025)