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Author

B. Agarkar

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Conference Open access Sep 2026

An Ensemble Framework Integrating CNNs and Vision Transformers for Cotton Leaf Disease Classification

Cotton is a major cash crop in the world, and its productivity is highly influenced by various diseases of the leaf, resulting in significant economic losses. Therefore, early and accurate identification of cotton leaf diseases is essential for improving crop management and increasing crop yield. This paper presents an...

S. Aher, Shubham Anjankar, Pankaj Warule et al. · 0 citations
Open access 2026

Development of An Artificial Neural Network-Based System to Detect Lane and Roadside Traffic Signs

A novel vision-based system for lane detection and roadside traffic sign recognition using advanced artificial neural network architectures that delivers fast, accurate, and robust simultaneous lane and traffic sign detection, significantly improving real-time road safety and driver assistance.

Viraj Sonawane, B. Agarkar, Sachin Chaudhari · 0 citations
Open access Aug 2026

Dual Attention Embedded Inception Framework for Robust Biometric Gait Recognition

Results validate the effectiveness of attention-driven multi-scale fusion for gait recognition and highlight the potential of AttIncGait for real-world biometric identification and mobility analysis.

S. Mandlik, R. Labade, Sachin Chaudhari et al. · 0 citations
Open access Jul 2026

Multi-Crop Leaf Disease Detection using YOLOv12 with Class-Aware Multi-Scale Fusion and Adaptive Attention Modules

Experimental results show that YOLOv12-CropNet finds a suitable balance between computational speed and accurate detection, and accuracy, F1-score, recall, and precision are important performance metrics that verify the model's resilience in challenging environmental and visual circumstances.

Swapnil P. Bangal, Satish R. Jondhale, Sachin Chaudhari et al. · 0 citations

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