An Efficient Artificial Intelligence-based approach for Diagnosis of Media Haze Disease. - Neha Sengar; Rakesh Chandra Joshi; Malay Kishore Dutta (ICCCNT, 2021)

Automated System for Face-Mask Detection Using Convolutional Neural Network. - Neha Sengar; Akriti Singh; Saumya Yadav; Malay Kishore Dutta (ICMC, 2021)

Identification of disease using deep learning and evaluation of bacteriosis in peach leaf. - Saumya Yadav; Neha Sengar; Akriti Singh; Anushikha Singh; Malay Kishore Dutta (Ecol. Informatics, 2021)

Village 5.0: Enabling Technologies and its Applications in Development of Smart Village. - Karam Bharat Singh; Neha Sengar; Debanjan Das; Subhas Chandra Misra (iSES, 2022)

Deep Learning Based Gastro Intestinal Disease Analysis Using Wireless Capsule Endoscopy Images. - Animesh Malviya; Neha Sengar; Malay Kishore Dutta; Radim Burget; Vojtech Myska (TSP, 2022)

A Shallow Convolution Neural Network for Predicting Lung Cancer Through Analysis of Histopathological Tissue Images. - Anjani Singh; Neha Sengar; Malay Kishore Dutta; Radim Burget (TSP, 2022)

A vision transformer based approach for analysis of plasmodium vivax life cycle for malaria prediction using thin blood smear microscopic images. - Neha Sengar; Radim Burget; Malay Kishore Dutta (Comput. Methods Programs Biomed., 2022)

PoseViNet: Distracted Driver Action Recognition Framework Using Multi-View Pose Estimation and Vision Transformer. - Neha Sengar; Indra Kumari; Jihui Lee; Dongsoo Har (CoRR, 2023)

EyeDeep-Net: a multi-class diagnosis of retinal diseases using deep neural network. - Neha Sengar; Rakesh Chandra Joshi; Malay Kishore Dutta; Radim Burget (Neural Comput. Appl., 2023)

Robust Monocular Depth Estimation in Adverse Weather Conditions by Unsupervised Domain Adaptation. - Jihui Lee; Quoc-Vinh Lai-Dang; Neha Sengar; Dongsoo Har (ECAI, 2024)

A Secure, Blockchain-Enabled Vehicular Sensor Communication Protocol With Deep Learning-Assisted Anomaly Detection. - Sumit Mishra; Neha Sengar; Dongsoo Har (IEEE Intell. Transp. Syst. Mag., 2025)