समान संसाधन: 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 /
विषय: Electrical, Electronic and Communication Engineering.
- 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/
- ANALYSIS OF HIGH FREQUENCY PROPAGATION PREDICTION MODELS IN THE CONTEXT OF BANGLADESH/
- INTERPOLATION BASED ADAPTIVE REVERSIBLE DATA HIDING FOR DIGITAL IMAGE APPLICATIONS /
- ENERGY EFFICIENT OPERATIONS OF COMP BASED LTE-A CELLULAR NETWORKS WITH HYBERID POWER SUPPLIES /
- EFFECT OF POLARIZATION MODE DISPERSION (PMD) IN DIFFERENT CORE SHAPES AND BIT ERROR RATE (BER) PERFORMANCE IN FIBER OPTIC COMMUNICATION /
विषय: This Thesis Paper of EECE in BSc Program.
- 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/
- 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 /