Computer Science and Engineering Department
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PHISHSCORE: A WEIGHTED MULTI-FEATURE SCORING FRAMEWORK FOR TRI-CLASS PHISHING EMAIL DETECTION
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VLLM FEATURE READINESS ON TEXT GENERTAED LLAMA 3.1-8B MODEL
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SEMANTIC REGION-AWARE FACIAL ATTRIBUTE EDITING VIA SEGFORMER PARSING AND DIFFUSION INPAINTING
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CONDITIONAL ADVERSARIAL IMAGE-TO-IMAGE TRANSLATION WITH U-NET GENERATOR, PATCHGAN DISCRIMINATOR, AND VGG19 PERCEPTUAL LOSS
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RETINEX-BASED LOW-LIGHT IMAGE ENHANCEMENT WITH EDGE-AWARE LEARNING
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DEEP LEARNING-BASED GEOSPATIAL INFRASTRUCTURE SEGMENTATION USING SATELLITE IMAGERY
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MULTIMODAL SURVEILLANCE SYSTEM USING OBJECT DETECTION AND LARGE LANGUAGE MODELS
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DECONSTRUCTING CROSS-SITE SCRIPT ING (XSS) EXPLOITATION: A STAGE-WISE EVALUATION OF COOKIE AND BROWSER-BASED DEFENCE MECHANISMS IN MODERN WEB APPLICATIONS
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CONTRAST-DRIVEN NETWORK FOR TWO-STAGE LOW-LIGHT IMAGE ENHANCEMENT
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LEGAL JUDGEMENT PREDICTION USING LARGE LANGUAGE MODELS FOR INDIAN COURT CASES
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EXPLAINABLE STAGE-AWARE BHARATANATYAM MUDRA RECOGNITION BY INTEGRATING GEOMETRIC HAND LANDMARK ENCODING AND DOUBLE TRANSFER LEARNING
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AEFORMER: A LIGHTWEIGHT CONV1D-TRANSFORMER MODEL FOR ACOUSTIC EMISSION BASED REAL-TIME STRUCTURAL HEALTH MONITORING
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TINYML-BASED MODEL OPTIMIZATION FOR RESOURCE-CONSTRAINED IOT SYSTEMS: EXPERIMENTAL STUDY AND DEPLOYMENT ANALYSIS
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PDIC: AN UNSUPERVISED ENHANCEMENT FRAMEWORK FOR DETECTION-AWARE NIGHT-TIME WILDLIFE IMAGING
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DETECTION OF CONGESTIVE HEART FAILURE USING MULTI-LEAD ECG SIGNAL ANALYSIS
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DEEP LEARNING-BASED INTRUSION DETECTION WITH RESOURCE-AWARE AUTO-SCALING FOR SECURE CLOUD COMPUTING
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LIGHTWEIGHT DEEP LEARNING MODELS FOR ACCURATE CHEST X-RAY DISEASE CLASSIFICATION
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INTELLIGENT NETWORK INTRUSION DETECTION SYSTEM USING MACHINE LEARNING AND MLOPS
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DEEP NEURAL ARCHITECTURE FOR ROBUST AND EXPLAINABLE BREAST CANCER CLASSIFICATION USING HISTOPATHOLOGICAL IMAGING
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MULTI-SIGNAL BACKDOOR DETECTION AND MITIGATION FRAMEWORK FOR DEEP NEURAL NETWORKS
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