類似資料: A COMPREHENSIVE STUDY OF DEEP LEARNING, TEMPORAL ANALYSIS AND SEMANTIC-ANOMALY SUSION FOR IOT AND IIOT INTRUSION DETECTION /
- AN ADVERSARIAL APPROACH FOR INTRUSION DETECTION USING DEEP LEARNING /
- FLOW BASED ANOMALY DETECTION IN SOFTWARE DEFINED NETWORKING: A DEEP LEARNING APPROACH WITH FEATURE SELECTION METHOD
- FLOW BASED ANOMALY DETECTION IN SOFTWARE DEFINED NETWORKING: A DEEP LEARNING APPROACH WITH FEATURE SELECTION METHOD /
- AUTOMATIC HAND GESTURE RECOGNITION USING SEMANTIC SEGMENTATION AND DEEP LEARNING /
- A COMPARATIVE BEHAVIOURAL STUDY OF MACHINE LEARNING AND DEEP LEARNING MODELS FOR NETWORK INTRUSION DETECTION ACROSS DATASETS OF DIFFERING STATISTICAL CHARACTER /
- ENHANCED DETECTION AND ANOMALY IDENTIFICATION IN CHIPLESS RFID SYSTEMS USING SCALABLE MACHINE LEARNING MODELS /
トピック: Electrical, Electronic and Communication Engineering.
- INTERPOLATION BASED ADAPTIVE REVERSIBLE DATA HIDING FOR DIGITAL IMAGE APPLICATIONS /
- ENERGY EFFICIENT OPERATIONS OF COMP BASED LTE-A CELLULAR NETWORKS WITH HYBERID POWER SUPPLIES /
- PERFORMANCE ANALYSIS OF AN OPTICAL CROSS CONNECT AT DWDM SYSTEM /
- AVAILABLE TRANSFER CAPABILITY ASSESSMENT OF THE WESTERN GRID OF BANGLADESH POWER SYSTEM /
- PERFORMANCE ANALYSIS OF DIFFERENT TRACKING FILTERS FOR IMPROVING ACCURACY IN RADAR DETECTION /
- A STUDY ON PARAMETRIC ANALYSIS OF CARBON NANO TUBE ORGANIC SOLAR CELLS /
トピック: This Thesis Paper of EECE in BSc Program.
- ANALYSIS OF BER PERFORMANCE ON DIFFERENT MODULATION TECHNIQUES OVER AWGN CHANNEL /
- DESIGN OF A DUAL-BAND MICROSTRIP PATCH ANTENNA WITH ENHANCED BANDWIDTH AND GAIN FOR 5G APPLICATIONS /
- CLASSIFICATION OF AUTISM SPECTRUM DISORDER FROM RS-FMRI SCANS BY FEATURE REDUCTION ON ENSEMBLE MACHINE LEARNING AND CNN/
- INVESTIGATION OF THE TOPSIDE IONOSPHERE OVER BANGLADESH USING SWARM, COSMIC AND GNSS DATA INCLUDING IRI PREDICTIONS /
- INVESTIGATION OF IONOSPHERIC DIURNAL DOUBLE MAXIMA OVER BANGLADESH /
- FREQUENCY STABILITY ENHANCEMENT WITH VSG CONTROL FOR A PV DOMINATED GRID /