Collection's Items (Sorted by Submit Date in Descending order): 21 to 40 of 236
| Preview | Issue Date | Title | Author(s) |
| 2025-05 | A COMPARATIVE STUDY OF MACHINE LEARNING AND DEEP LEARNING MODELS FOR FACIAL EMOTION RECOGNITION | KUMAR, SUJEET |
| 2024-05 | UNVEILING HIDDEN PATTERNS : EXPLORING THE POTENTIAL OF FREQUENT MINING ALGORITHM | RANI, SONALI |
| 2025-05 | EVALUATING MULTILINGUAL AND LANGUAGE SPECIFIC TRANSFORMERS FOR ENGLISH- HINDI SEMANTIC ALIGNMENT | GUPTA, VIKAS |
| 2025-05 | ATTENTION DRIVEN NETWORKS FOR IDENTIFYING DEEPFAKES | BARWA, ARPANA |
| 2025-05 | LIGHTWEIGHT S-BOX DESIGNS FOR SECURE IOT APPLICATIONS | KUMAR, ANIKESH |
| 2025-05 | A HYBRID TEMPORAL FUSION TRANSFORMER FOR EXPLAINABLE AND EARLY RECESSION PREDICTION USING MIXED-FREQUENCY MACRO-FINANCIAL DATA | CHOWDHURY, KUSHAL |
| 2025-05 | A COMPARATIVE STUDY OF MACHINE LEARNING MODELS FOR SENTIMENT ANALYSIS | KUMAR, KAUSHIK |
| 2025-05 | CREDIT CARD FRAUD DETECTION USING ML | KUMARI, ASHA |
| 2025-06 | ADVANCED DEEP LEARNING METHODOLOGIES FOR MULTI-LABEL SATELLITE IMAGE CLASSIFICATION | BARMAN, TAMAL |
| 2025-05 | PERFORMANCE EVALUATION OF DEEP LEARNING APPROACHES FOR BLURRED IMAGE PROCESSING | TANWAR, MOHIT |
| 2020-08 | A DEEP CONVNET FOR VIOLENCE DETECTION USING DYNAMIC MOTION IMAGES | JAIN, AAYUSH |
| 2023-05 | EMOTION DETECTION USING SEPARABLE CONVOLUTIONS | SONI, AARTI |
| 2024-05 | DETECTION OF STRESS IN IT EMPLOYEES USING DEEP LEARNING | KANWAR, ADITYA |
| 2024-07 | ENHANCING SECURITY IN PYTHON DEVELOPMENT ENVIRONMENTS: DETECTION AND ANALYSIS OF THE EMBEDDED MALWARE | TANYA, AGARWAL |
| 2024-05 | A COMPARATIVE STUDY OF DEEP LEARNING AND ENSEMBLE METHODOLOGIES WITH KEYPOINT DETECTION FOR 2D IMAGE-BASED YOGA POSE RECOGNITION | DEBALAXMI, DEBASHREE |
| 2024-05 | DECODING DEEPFAKES: A DEEP LEARNING APPROACH TO UNVEILING SYNTHETIC MEDIA | KULKARNI, SARTHAK |
| 2024-05 | CONTEXT BASED EMOTION RECOGNITION USING EMOTIC DATASET | MEHER, HEMSAGAR |
| 2024-05 | FORGERY DETECTION IN DIGITAL IMAGES USING CNN | AHMAD, SHUJAA |
| 2024-05 | ANALYZING FACIAL EMOTION PATTERNS IN AFFECTNET WITH DEEP NEURAL NETWORKS | UNIYAL, SAGAR |
| 2024-05 | ADVANCING ANOMALY DETECTION IN IOT: A COMPARATIVE STUDY OF MACHINE LEARNING AND DEEP LEARNING APPROACHES ON THE IOT-23 DATASET | SAHU, RAJESH KUMAR |
Collection's Items (Sorted by Submit Date in Descending order): 21 to 40 of 236
