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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

STATIC ANALYSIS TECHNIQUES FOR ANDROID BASED MALWARES See

COMPARATIVE STUDY OF DIFFERENT MACHINE LEARNING MODELS FOR PARKINSON’S DISEASE DETECTION See

CROSS-PLATFORM ANALYSIS OF HATE SPEECH DETECTION See

EVALUATING LARGE LANGUAGE MODEL ARCHITECTURES FOR SENTIMENT ANALYSIS ACROSS MULTIPLE DATASETS See

FACE DETECTION AND RECOGNITION IN LOW RESOURCE ANDROID MOBILE DEVICES See

COMPUTATIONAL RECOGNITION OF EMOTIONS: SENTIMENT ANALYSIS IN HUMAN COMPUTER INTERACTION See

EVALUATION OF MACHINE LEARNING MODELS FOR CUSTOMER CHURN PREDICTION FROM IMBALANCED DATASET See

FACE FORGERY DETECTION USING CLASSICAL AND HYBRID QUANTUM DEEP LEARNING MODELS See

EMERGING DEEP LEARNING APPROACHES FOR PLANT DISEASE IDENTIFICATION: TRENDS AND INNOVATION See