An Explainable Deep Learning Network for Environmental Microorganism Classification Using Attention-Enhanced Semi-Local Features. - R. Karthik 001; Armaano Ajay; Akshaj Singh Bisht; Jaehyuk Cho; V. E. Sathishkumar (IEEE Access, 2024)

A Deep Learning Approach for Crop Disease and Pest Classification Using Swin Transformer and Dual-Attention Multi-Scale Fusion Network. - R. Karthik 001; Armaano Ajay; Akshaj Singh Bisht; T. Illakiya; K. Suganthi 001 (IEEE Access, 2024)

Dense-ShuffleGCANet: An Attention-Driven Deep Learning Approach for Diabetic Foot Ulcer Classification Using Refined Spatio-Dimensional Features. - Armaano Ajay; Akshaj Singh Bisht; R. Karthik 001 (IEEE Access, 2025)

An Explainable Deep Learning Framework for Sorghum Weed Classification Using Multi-Scale Feature Enhanced DenseNet. - Armaano Ajay; Sandosh S.; Aryan Saji; Harsh Agarwal (IEEE Access, 2025)

DeepCRC-Net: An Attention-Driven Deep Learning Network for Colorectal Cancer Classification Using Xception and Efficient Lightweight Local Feature Fusion Networks. - Akshaj Singh Bisht; Armaano Ajay; R. Karthik 001 (IEEE Access, 2025)

FishFusionNet: An ensemble-based approach for fish species identification using SqueezeNet and efficient attention-boosted semi-local network. - Armaano Ajay; Akshaj Singh Bisht; Sagar Singh Chauhan; Pranav Uppuluri; Prasanna Bharathi S (Signal Image Video Process., 2025)

QDeepColonNet: a quantum-based deep learning network for colorectal cancer classification using attention-driven DenseNet and shuffled dynamic local feature extraction network. - Armaano Ajay; R. Karthik 001; Akshaj Singh Bisht; Abhay Karan Singh (Artif. Intell. Rev., 2025)