Author

M. Kamalrudin

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Open access Sep 2026

Physics-informed machine learning for robust calibration and physiological validation of wearable electrochemical sweat biosensors for metabolite monitoring

Wearable medical devices represent a most adequately investigated research paradigm inherent to their continuous, non-invasive health monitoring capabilities. Electrochemical biosensors are the basic units in such devices, and they are responsible for reliable biomarker measurements from non-invasive biofluids like swe...

Umapathi Krishnamoorthy, Mohanraj R., Mariprasath T. et al. · Scientific Reports · 0 citations

Open access 2026

A Deep Learning Approach for Real-Time Detection and Classification of Crop Leaf Diseases to Support Sustainable Farming Practices

A deep learning system of real-time detection and classification of crop leaf diseases that combines effective object detection and disease classification in a single system that allows localizing the disease and diagnosing it within a short time, which contributes to the development of sustainable and precision farmin...

S. Praveen, Karuna Arava, Tenali Nagamani et al. · International Journal of Adv... · 0 citations

Open access Jun 2026

A Multi-Model Ensemble Approach Using Deep and Traditional Learning for Autism Spectrum Disorder Classification

The findings verify that incorporating deep and traditional learning models in an ensemble framework can significantly enhance the classification of ASD, offering a dependable and scalable computational model to aid clinical specialists in the initial diagnosis of ASD.

Dhafar Fakhry Hasan, Maha A. Abdul-Jabar, Mawadah Mohammed Suliman et al. · Journal of Soft Computing an... · 0 citations