Mithlesh Prasad Singh
Publikasjoner
A Group Decision Optimization Analogy-Based Deep Learning Architecture for Multiclass Pathology Classification in a Voice Signal
A non-invasive, robust system for multiclass laryngeal pathology detection uses time-frequency image analysis and DL. Enhanced CNN models with 3D convolution kernels are optimized using a "group decision analogy" technique, achieving 97.7% accuracy.
Rapid Molecular Evaluation of Human Kidney Tissue Sections by In Situ Mass Spectrometry and Machine Learning to Classify the Nephrotic Syndrome
A rapid DESI-MS analysis on renal biopsies from 37 nephrotic syndrome (NS) patients identified lipid profiles for IgA nephropathy, membranous glomerulonephritis, and lupus nephritis. Using ML models, the method achieved 100% classification accuracy.