Míreanna comhchosúla: A DEEP LEARNING-BASED APPROACH FOR DETECTING BANGLA SPAM EMAILS /
- DEVELOPMEMENT OF A MACHINE LEARNING MODEL FOR BILLINGUAL SMS SPAM DETECTION /
- AN ADVERSARIAL APPROACH FOR INTRUSION DETECTION USING DEEP LEARNING /
- IDENTIFICATION AND TRANSLATION OF TRANSLITERATED CHAKMA TEXT INTO BANGLA USING MACHINE LEARNING AND DEEP LEARNING APPROACHES /
- A DEEP LEARNING-BASED STACKING APPROACH FOR SKIN ALLERGY CLASSIFICATION /
- DETECTING DDOS ATTACKS USING MACHINE LEARNING & DEEP LEARNING APPROACHES WITH A COMPANION VISUALIZATION DASHBOARD /
- FLOOD DETECTION AND FLOODED AREA SEGMENTATION USING ENSEMBLE MACHINE LEARNING AND DEEP LEARNING APPROACHES /
Topaic: Computer Science and Engineering.
- IMPLEMENTATION OF AES128: A BEGINNING IN THE PRODUCTION OF IFF DEVICE FOR BANGLADESH DEFENSE SERVICES /
- CLOUD COMPUTING-FEASIBILITY AND PROSPECTS FOR IMPLEMENTATION IN BANGLADESH ARMY /
- DEEP REINFORCEMENT LEARNING BASED OPTIMAL COMPUTATION OFFLOADING IN FOG COMPUTING ENVIRONMENT /
- A MULTIMODAL FEDERATED-LEARNING BASED FRAMEWORK FOR PEDESTRIAN BEHAVIOR UNDERSTANDING AND ROAD-BLOCKAGE ASSESSMENT UNDER ADVERSE CONDITIONS /
- A DUAL-STAGE CNN FRAMEWORK FOR RICE LEAF DISEASE DETECTION AND CLASSIFICATION USING COLOR INTENSITY ENHANCED FEATURE EXTRACTION /
- EXPLORING COGNITIVE LOAD IN STORYTELLING ASPECTS ACROSS THE ONBOARDING PHASE OF A VIDEO GAME USING NASA-TLX /
Topaic: This Thesis Paper of CSE in BSc Program.
- A DEEP LEARNING-BASED APPROACH FOR DETECTING BANGLA SPAM EMAILS /
- Soldiers Yearly Planning Guide /
- 'MILBOT' - A SEMI-AUTONOMOUS MULTIPURPOSE ROBOT FOR MILITARY OPERATIONS /
- DESIGN AND DEVELOPMENT OF A TRANSFORMABLE MECHANISM FOR A TWO WHEELED MILITARY SURVEILLANCE ROBOT /
- AUTOMATION PROJECT FOR INVENTORY MANAGEMENT OF RATION TO INCLUDE DEMAND, COLLECTION OF FRESH AND DRY RATION AND GENERATION OF ASSOCIATED REPORTS /
- TOWARDS EVELOPING AN IMAGING APPLICATION TO AID PHYSICIANS ANALYZING MRI IMAGES OF BRAIN TUMOR: A MACHINE LEARNING APPROACH THROUGH COMPARATIVE ANALYSIS /