A novel Industry-5.0-aligned framework combines CNN feature extraction, PCA, and swarm intelligence optimization with classical classifiers to deliver an efficient and explainable solution for automated metal surface defect detection using minimal discriminative features.
A novel dynamic attention-based dual-modality fusion model that combines leaf and fruit images to improve mango disease classification .
View PaperA novel framework combining classical and deep learning models to detect prostate cancer effectively on an imbalanced epidemiological dataset.
A real-time sound-based system using ML and MFCC features is proposed to accurately detect emergency vehicle sirens in traffic, enhancing response times and urban safety.
View PaperAn introductory book to master the concepts of Programming Fundamentals and Object-Oriented Principles.
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