समान संसाधन: 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 /
विषय: Computer Science and Engineering
- PREDICTION OF URINARY TRACT INFECTIONS USING HMM
- MOBILE VIDEO TRANSMITTING ROBOT /
- PARAMETRIC STUDY OF STUDENT LEARNING IN IT USING DATA MINING
- MULTI LAYER NEURAL NETWORK BASED AUTOMATIC WORD RECOGNITION FOR BANGLA SPOKEN LANGUAGE /
- INTER WORD SEMANTIC AND STRING DISTANCE USING ONTOLOGICAL TECHNIQUES /
- USER SESSION BASED AUTOMATED TEST CASE GENERATION USING NEUMATIC ALGORITHM /
विषय: This Thesis Paper of CSE in BSc Program.
- EEG-BASED MOTOR IMAGERY SIGNAL CLASSIFICATION FOR ASSISTIVE ROBOTIC ARM CONTROL /
- ADAPTIVE AND AGGREGATED MODEL FUSION FOR FEDERATED INTRUSION DETECTION IN HETEROGENEOUS EDGE NETWORKS /
- RECOGNITION OF BANGLA SIGN LANGUAGE LETTERS AND WORDS USING HAND GESTURES /
- AUTOMATED FRAMEWORK FOR SEGMENTING AND IDENTIFYING THYROID NODULES IN ULTRASOUND IMAGES /
- DEVELOPMENT OF A MULTIMODAL KIOSK SYSTEM TO ENHANCE USER EXPERIENCE IN A UNIVERSITY CONTEXT /
- ENHANCING CYBERSECURITY IN AUTOMOTIVE SYSTEMS: INTRUSION DETECTION WITH BOOSTING ALGORITHMS FOR CAN BUS NETWORKS /
लेखक: RAFID, SHADMAN
लेखक: Supervised by Fernaz Narin Nur
- 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 /
- HYBRID AI MODEL INTEGRATING DEEP LEARNING AND FUZZY LOGIC FOR TOMATO LEAF DISEASE DETECTION AND SEVERITY ESTIMATION /