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PERFORMANCE ENHANCEMENT OF VEHICULAR AD HOC NETWORKS USING INTELLIGENT TECHNIQUES See

COMPARATIVE ANALYSIS OF CNN VARIANTS AND VISION TRANSFORMERS FOR EARLY LUNG CANCER DETECTION See

DIABETIC RETINOPATHY DETECTION USING DEEP LEARNING See

QUANTUM-RESISTANT HYBRID AUTHENTICATION AND REVOCATION FORMULTI-ENTITYV2X NETWORKS ANOMALY DETECTION See

EFFICIENT MULTI-CLASS TOXICITY DETECTION ON EDGE DEVICES USING QUANTIZED LARGE LANGUAGE MODELS See

DEVELOPMENT OF HIGH-CAPACITY REVERSIBLE DATA HIDING METHODS FOR ENCRYPTED IMAGES See

ANALYSING EFFECT OF REFACTORING ON SOFTWARE MAINTAINABILITY USING OBJECT ORIENTED METRICS See

ATTENTION-ENHANCED DEEP NEURAL PREDICTOR FOR HIGH-CAPACITY RDHEI See

ENHANCED VEHICLE DAMAGE CLASSIFICATION USING ATTENTION-AUGMENTED DEEP LEARNING ONTHREE-QUARTERS VIEW CAR DAMAGE DATASET See

AN INTEGRATED APPROACH FOR BRAIN TUMOR DETECTION USING DEEP FEATURE EXTRACTION AND MACHINE LEARNING CLASSIFIERS See

CROP YIELD PREDICTION SYSTEM USING K- NEAREST NEIGHBORS See

RESEARCH TRENDS IN TEXT SUMMARIZATION WITH A FOCUS ON FINE-TUNING INSTRUCTION-TUNED LANGUAGE MODELS See

DESIGN AND DEVELOPMENT OF UNTARGETED ATTACKS IN DNN See

SECURE LOCATION DIGISIGN: A PROXIMITY-ENFORCED NFC DIGITAL SIGNATURE FRAMEWORK WITH CERTIFICATE-BASED AUTHENTICATION AND HYBRID WI-FI DIRECT TRANSFER See

DL-BASED INTRUSION DETECTION FOR IOMT: A COMPARATIVE ANALYSIS OF EMBED-NET, CONV-NET-SVM, AND DEEP-SVM-NET See

EXPLAINABLE TEMPORAL TRANSFORMER FOR DISEASE PROGRESSION PREDICTION USING ATTENTION AND SHAP ANALYSIS See

TOWARDS ROBUST AND GENERALIZABLE MACHINE LEARNING-BASED NETWORK INTRUSION DETECTION: FROM ENSEMBLE BASELINES TO DEEP LEARNING METHODS FOR COMPLEX AND EVOLVING THREAT ENVIRONMENT See

A SYSTEMATIC STUDY AND COMPARATIVE ANALYSIS OF UNDERWATER IMAGE ENHANCEMENT TECHNIQUES WITH EMPHASIS ON FUZZY HISTOGRAM EQUALIZATION See

FORENSIC ANALYSIS AND DETECTION OF MANIPULATED IMAGES USING DEEP LEARNING TECHNIQUES See