類似資料: ADAPTIVE AND AGGREGATED MODEL FUSION FOR FEDERATED INTRUSION DETECTION IN HETEROGENEOUS EDGE NETWORKS /
- FEDERATED MULTIMODAL MALWARE DETECTION THROUGH INTERMEDIATE FUSION OF IMAGE AND TABULAR FEATURES WITH HYPERPARAMETER OPTIMIZATION /
- QUANTUM-CLASSICAL NETWORK INTRUSION DETECTION USING QKD-INSPIRED SECURITY FEATURES /
- ENHANCING CYBERSECURITY IN AUTOMOTIVE SYSTEMS: INTRUSION DETECTION WITH BOOSTING ALGORITHMS FOR CAN BUS NETWORKS /
- AN ADVERSARIAL APPROACH FOR INTRUSION DETECTION USING DEEP LEARNING /
- IDENTIFICATION OF DDOS ATTACK THROUGH INTRUSION DETECTION MODEL USING ENSEMBLE MACHINE LEARNING /
- DETECTING THE FETAL HEALTH CONDITION USING FEDERATED LEARNING APPROACH WITH INCENTIVE-BASED REWARDS SYSTEM /
トピック: 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 /
トピック: 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 /
著者: RAFID, SHADMAN
著者: Supervised by Fernaz Narin Nur
- HYBRID AI MODEL INTEGRATING DEEP LEARNING AND FUZZY LOGIC FOR TOMATO LEAF DISEASE DETECTION AND SEVERITY ESTIMATION /
- ADAPTIVE AND AGGREGATED MODEL FUSION FOR FEDERATED INTRUSION DETECTION IN HETEROGENEOUS EDGE NETWORKS /
- DEVELOPMENT OF A CNN-MODEL BASED SYSTEM FOR RECOGNITION OF BANGLA HANDWRITTEN TEXT /
- ENSEMBLE LEARNING IN CYBERBULLYING DETECTION USING TRANSFORMER MODELS: A MULTILINGUAL AND EXPLAINABLE AI APPROACH /