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DESIGN OF FRAMEWORK FOR SENTIMENT ANALYSIS USING DEEP LEARNING See

DESIGN AND DEVELOPMENT OF FRAMEWORK FOR DETECTION OF HATE CONTENT See

DYNAMIC HAND GESTURE RECOGNITION FRAMEWORK FOR HUMAN-COMPUTER INTERACTION See

EDGE DETECTION IN DIGITAL IMAGES USING SOFT COMPUTING TECHNIQUES See

SOME STUDIES ON ENHANCEMENT OF IMAGES OF HISTORICAL IMPORTANCE See

DEVELOPMENT OF FRAMEWORK FOR DEEPFAKE DETECTION IN MULTIMEDIA DATA See

ENHANCING SECURITY IN PYTHON DEVELOPMENT ENVIRONMENTS: DETECTION AND ANALYSIS OF THE EMBEDDED MALWARE See

DESIGN AND DEVELOPMENT OF FRAMEWORK TO DETECT MALICIOUS MANIPULATIONS IN MULTIMEDIA DATA See

A COMPARATIVE STUDY OF DEEP LEARNING AND ENSEMBLE METHODOLOGIES WITH KEYPOINT DETECTION FOR 2D IMAGE-BASED YOGA POSE RECOGNITION See

DECODING DEEPFAKES: A DEEP LEARNING APPROACH TO UNVEILING SYNTHETIC MEDIA See

CONTEXT BASED EMOTION RECOGNITION USING EMOTIC DATASET See

FORGERY DETECTION IN DIGITAL IMAGES USING CNN See

ANALYZING FACIAL EMOTION PATTERNS IN AFFECTNET WITH DEEP NEURAL NETWORKS See

ADVANCING ANOMALY DETECTION IN IOT: A COMPARATIVE STUDY OF MACHINE LEARNING AND DEEP LEARNING APPROACHES ON THE IOT-23 DATASET See

FACE SKETCH RECOGNITION USING DEEP LEARNING See

IoT NETWORK TRAFFIC ANALYSIS USING MACHINE LEARNING BASED TECHNIQUES See

ENHANCING VERACITY : LEVERAGING MACHINE LEARNING ENSEMBLE METHODS FOR FAKE NEWS DETECTION See

A COMPARATIVE STUDY OF BRAIN TUMOR CLASSIFICATION USING DEEP LEARNING MODELS See

DEEP-LEARNING STRATEGIES FOR FOOD IMAGE CLASSIFICATION INVOLVING FINE-TUNING AND DEEP FEATURE EXTRACTION See