Computer Science and Engineering Department
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ASSESSMENT OF IMPACT OF COVID-19 ON MENTAL HEALTH USING MACHINE LEARNING TECHNIQUES
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PERFORMANCE ENHANCEMENT OF VEHICULAR AD HOC NETWORKS USING INTELLIGENT TECHNIQUES
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COMPARATIVE ANALYSIS OF CNN VARIANTS AND VISION TRANSFORMERS FOR EARLY LUNG CANCER DETECTION
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DIABETIC RETINOPATHY DETECTION USING DEEP LEARNING
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QUANTUM-RESISTANT HYBRID AUTHENTICATION AND REVOCATION FORMULTI-ENTITYV2X NETWORKS ANOMALY DETECTION
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EFFICIENT MULTI-CLASS TOXICITY DETECTION ON EDGE DEVICES USING QUANTIZED LARGE LANGUAGE MODELS
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DEVELOPMENT OF HIGH-CAPACITY REVERSIBLE DATA HIDING METHODS FOR ENCRYPTED IMAGES
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ANALYSING EFFECT OF REFACTORING ON SOFTWARE MAINTAINABILITY USING OBJECT ORIENTED METRICS
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ATTENTION-ENHANCED DEEP NEURAL PREDICTOR FOR HIGH-CAPACITY RDHEI
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ENHANCED VEHICLE DAMAGE CLASSIFICATION USING ATTENTION-AUGMENTED DEEP LEARNING ONTHREE-QUARTERS VIEW CAR DAMAGE DATASET
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AN INTEGRATED APPROACH FOR BRAIN TUMOR DETECTION USING DEEP FEATURE EXTRACTION AND MACHINE LEARNING CLASSIFIERS
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CROP YIELD PREDICTION SYSTEM USING K- NEAREST NEIGHBORS
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RESEARCH TRENDS IN TEXT SUMMARIZATION WITH A FOCUS ON FINE-TUNING INSTRUCTION-TUNED LANGUAGE MODELS
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DESIGN AND DEVELOPMENT OF UNTARGETED ATTACKS IN DNN
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SECURE LOCATION DIGISIGN: A PROXIMITY-ENFORCED NFC DIGITAL SIGNATURE FRAMEWORK WITH CERTIFICATE-BASED AUTHENTICATION AND HYBRID WI-FI DIRECT TRANSFER
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DL-BASED INTRUSION DETECTION FOR IOMT: A COMPARATIVE ANALYSIS OF EMBED-NET, CONV-NET-SVM, AND DEEP-SVM-NET
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EXPLAINABLE TEMPORAL TRANSFORMER FOR DISEASE PROGRESSION PREDICTION USING ATTENTION AND SHAP ANALYSIS
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TOWARDS ROBUST AND GENERALIZABLE MACHINE LEARNING-BASED NETWORK INTRUSION DETECTION: FROM ENSEMBLE BASELINES TO DEEP LEARNING METHODS FOR COMPLEX AND EVOLVING THREAT ENVIRONMENT
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A SYSTEMATIC STUDY AND COMPARATIVE ANALYSIS OF UNDERWATER IMAGE ENHANCEMENT TECHNIQUES WITH EMPHASIS ON FUZZY HISTOGRAM EQUALIZATION
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FORENSIC ANALYSIS AND DETECTION OF MANIPULATED IMAGES USING DEEP LEARNING TECHNIQUES
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