相似书籍: A COMPARATIVE BEHAVIOURAL STUDY OF MACHINE LEARNING AND DEEP LEARNING MODELS FOR NETWORK INTRUSION DETECTION ACROSS DATASETS OF DIFFERING STATISTICAL CHARACTER /
- AN ADVERSARIAL APPROACH FOR INTRUSION DETECTION USING DEEP LEARNING /
- DEEP LEARNING BASED MULTIPLE OBJECT DETECTION AND DISTANCE MANAGEMENT FROM CUSTOM-BUILT DATASET WITH HETEROGENIOUS TRAFFIC /
- Deep learning /
- ADAPTIVE AND AGGREGATED MODEL FUSION FOR FEDERATED INTRUSION DETECTION IN HETEROGENEOUS EDGE NETWORKS /
- A COMPREHENSIVE STUDY OF DEEP LEARNING, TEMPORAL ANALYSIS AND SEMANTIC-ANOMALY SUSION FOR IOT AND IIOT INTRUSION DETECTION /
- Deep learning with python /
主题: Electrical, Electronic and Communication Engineering.
- ANALYSIS AND DEVELOPMENT OF REVERSIBLE DATA HIDING SCHEME BASED ON PIXEL VALUE ORDERING /
- DESIGN AND PERFORMANCE ANALYSIS OF RING VCO BASED ON MOS CAPACITANCE USING 90NM CMOS PROCESS TECHNOLOGY FOR WIRELESS APPLICATION /
- PERFORMANCE ANALYSIS OF M-ARRAY MODULATION TECHNIQUES ON FREE SPACE OPTICAL COMMUNICATION CHANEL UNDER WEAK TURBULENCE /
- PERFORMANCE ANALYSIS OF A FREE SPACE OPTICAL COMMUNICATION LINK IN PRESENCE OF STRONG ATMOSPHERIC TURBULENCE OF USING DIFFERENT MODULATION SCHEMES /
- PERFORMANCE IMPROVEMENT OF WIRELESS MOBILE COMMUNICATION THOUGHT OFFLOADING /
- ANALYTICAL EVALUATION OF PROBABILITY OF NON-ZERO SECRECY OUTAGE PROBABILITY FOR A WIRELESS LINK OVER WEIBULL FADING CHANNEL /
主题: This Thesis Paper of EECE in BSc Program.
- FINE-TUNED U-NET VARIATS WITH EXTENDED ARCHITECTURE FOR ENHANCED MICROSCOPIC IMAGE SEGMENTATION /
- ANALYSIS OF LIGHTNING STRIKE EFFECTS ON POWER MOSFETS AND PROTECTIVE CIRCUIT DESIGN /
- WAVLORA-SAM: WAVELET-ENHANCED LOW-RANK ADAPTATION OF SAM 2.1 WITH MULTISCALE HYBRID PROMPTING FOR EXPLAINABLE SKIN LESION SEGMENTATION/
- CHARACTERIZATION AND PREDICTION OF IONOSPHERIC SCITILLIATION OVER SOUTH ASIA USING MULTI-CONSTELLATION GNSS OBSERVATIONS /
- HYBRID ADAPTATIVE TRANSFORMER DIFFERENTIAL PROTECTION: AN INTELLIGENT DWT-LSTM GRAMEWORK /
- OPTIMAL PLACEMENT OF DISTINCT SIZE EV CHARGING STATIONS USING EXHAUSTIVE SEARCH AND BFS LOAD FLOW /
作者: Shadman, Samin
作者: Supervised by Maj Md Abdul Wahed
- A COMPARATIVE BEHAVIOURAL STUDY OF MACHINE LEARNING AND DEEP LEARNING MODELS FOR NETWORK INTRUSION DETECTION ACROSS DATASETS OF DIFFERING STATISTICAL CHARACTER /
- ENHANCED FEATURE EXTRACTION FOR SEIZURE FORECASTING: A COMPARATIVE IMPLEMENTATION OF PCA AND AUTOCODERS /
- A COMPUTATIONALLY EFFICIENT DEEP LEARNING FRAMEWORK FOR SLEEP APNEA DETECTION /
- MULTI-MODEL CLASSIFIER ENSEMBLE FOR URBAN TRAFFIC CONGESTION /