Multi-algorithm Fusion for Speech Emotion Recognition. - Gyanendra K. Verma 001; Uma Shanker Tiwary; Shaishav Agrawal (ACC (3), 2011)

Facial Emotion Recognition Using Different Multi-resolution Transforms. - Gyanendra K. Verma 001; Uma Shanker Tiwary; Mahendra K. Rai (ACC (3), 2011)

Robust face recognition using curvelet transform. - Gyanendra K. Verma 001; Shitala Prasad; Gohel Bakul (ICCCS, 2011)

Multi-feature Fusion for Closed Set Text Independent Speaker Identification. - Gyanendra K. Verma 001 (ICISTM, 2011)

Basic Handwritten Character Recognition from Multi-Lingual Image Dataset using Multi-Resolution and Multi-Directional Transform. - Shitala Prasad; Gyanendra K. Verma 001; Bhupesh Kumar Singh; Piyush Kumar (Int. J. Wavelets Multiresolution Inf. Process., 2012)

Multimodal fusion framework: A multiresolution approach for emotion classification and recognition from physiological signals. - Gyanendra K. Verma 001; Uma Shanker Tiwary (NeuroImage, 2014)

Texture vs. multiresolution analysis of facial expressions: application to emotion recognition. - Himanshu Buckchash; Gyanendra Kumar Verma 001 (Int. J. Appl. Pattern Recognit., 2015)

Wild Animal Detection Using Deep Convolutional Neural Network. - Gyanendra K. Verma 001; Pragya Gupta (CVIP (2), 2017)

A Handheld Gun Detection using Faster R-CNN Deep Learning. - Gyanendra K. Verma 001; Anamika Dhillon (ICCCT, 2017)

Wild Animal Detection from Highly Cluttered Forest Images Using Deep Residual Networks. - Anamika Dhillon; Gyanendra K. Verma 001 (IHCI, 2018)

Wild Animal Detection from Highly Cluttered Images Using Deep Convolutional Neural Network. - Gyanendra K. Verma 001; Pragya Gupta (Int. J. Comput. Intell. Appl., 2018)

A multimodal fusion based framework to reinforce IDS for securing Big Data environment using Spark. - Gita Donkal; Gyanendra K. Verma 001 (J. Inf. Secur. Appl., 2018)

Image Compression Using Deep Learning Based Multi-structure Feature Map and K-Means Clustering. - Gyanendra Verma 001; Anant Kumar (MIND (1), 2020)

Convolutional neural network: a review of models, methodologies and applications to object detection. - Anamika Dhillon; Gyanendra K. Verma 001 (Prog. Artif. Intell., 2020)

Multi-modal feature fusion for object detection using neighbourhood component analysis and bounding box regression. - Anamika Dhillon; Gyanendra K. Verma 001 (Int. J. Bus. Intell. Data Min., 2023)

EEG-Based Emotion Recognition Using Quantum Machine Learning. - Divya Garg; Gyanendra Kumar Verma 001; Awadhesh Kumar Singh (SN Comput. Sci., 2023)

Improving EEG-based Emotion Recognition using DCGAN with MobileNet. - Shashank Kaushik; Gyanendra K. Verma 001 (ICCCNT, 2024)

EEG-based emotion recognition using MobileNet Recurrent Neural Network with time-frequency features. - Divya Garg; Gyanendra Kumar Verma 001; Awadhesh Kumar Singh (Appl. Soft Comput., 2024)

Applications and Challenges of AI and Microscopy in Life Science Research: A Review. - Himanshu Buckchash; Gyanendra Kumar Verma 001; Dilip K. Prasad (CoRR, 2025)

Hybrid DCGAN-CNN Architecture for EEG Based Emotion Recognition in 3D Valence-Arousal-Dominance Space. - Gyanendra K. Verma 001 (SN Comput. Sci., 2025)