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PARAKH:ACOMPREHENSIVE FRAMEWORKFOREVALUATINGSOCIAL BIAS IN HINDI-LANGUAGE LARGE LANGUAGEMODELS See

DATA-DRIVEN FASHION: ENHANCING CONSUMER DECISIONS THROUGH TREND, PRICE, AND RATING ANALYSIS See

EARLY PREDICTION OF PUBLIC OPINION TRENDS IN THE 2024 U.S. PRESIDENTIAL ELECTION USING TOPIC MODELING, DENDROGRAM CLUSTERING, AND SENTIMENT ANALYSIS See

STRUCTURED LATENT SPACE EXPLORATION WITH TRANSFORMER ENCODERS FOR DIVERSIFIED AND PERSONALIZED MULTIRATER MEDICAL IMAGE SEGMENTATION See

EFFICIENCY-DRIVEN SINGLE IMAGE SUPER-RESOLUTION USING ATTENTION-ENHANCED RESIDUAL FEATURE DISTILLATION NETWORKS See

DESIGN AND DEVELOPMEN T OF SECURE FEDERATED LEARNING FRAMEWORK FOR DATA-SENSITIVE APPLICATIONS See

FACE DETECTION AND TRACKING See

ANALYSIS OF EEG SIGNALS IN SPATIAL, SPECTRAL AND TEMPORAL DOMAINS FOR CLASSIFICATION See

AUTOMATIC MEDICAL TRANSCRIPTS SUMMARIZATION USING MACHINE LEARNING TECHNIQUES See

DESIGN AND DEVELOPMENT OF HEALTHCARE FRAMEWORK USING DIGITAL TWIN See

DESIGN AND DEVELOPMENT OF TIME SERIES FORECASTING MODELS FOR COVID-19 PREDICTION See

DESIGN AND DEVELOPMENT OF SECURITY SOLUTIONS IN BLOCKCHAIN See

DESIGN AND DEVELOPMENT OF AI-BASED FRAMEWORKS FOR ENVIRONMENTAL AND GEOSPATIAL DATA ANALYSIS See

DESIGN A FRAMEWORK FOR GENERATION OF IMAGE DESCRIPTION USING DEEP LEARNING See

ENHANCEMENT OF REVERSIBLE IMAGE STEGANOGRAPHY AND OPTIMIZATION OF QUANTUM IMAGE REPRESENTATION USING THE NEQR MODEL See

A STUDY ON DEEP LEARNING AND TRANSFORMER BASED MODELS FOR HAND GESTURE AND ACTION RECOGNITION See

FISH SPECIES CLASSIFICATION USING MACHINE LEARNING AND DEEP LEARNING MODELS See

COMPREHENSIVE STUDY OF DEEP LEARNING-BASED SUPER-RESOLUTION WITH EMPHASIS ON GANS See

ENHANCED BRAIN CANCER DETECTION USING A RADIOMICS-INFORMED HYBRID AUTOENCODER AND GBM MODEL See