Παρόμοια τεκμήρια: MULTI-MODEL CLASSIFIER ENSEMBLE FOR URBAN TRAFFIC CONGESTION /
- ENHANCED DETECTION OF ELECTRICITY THEFT IN SMART GRIDS USING A MACHINE LEARNING BOOSTING CLASSIFIERS BASED VOTING ENSEMBLE MODEL /
- AI-POWERED DERMATOLOGICAL SCREENING IN BANGLADESH: ENSEMBLE LEARNING APPROACH WITH MOBILE DEPLOYMENT AND USABILITY VALIDATION /
- CLASSIFICATION OF AUTISM SPECTRUM DISORDER FROM RS-FMRI SCANS BY FEATURE REDUCTION ON ENSEMBLE MACHINE LEARNING AND CNN/
- DEVELOPING MULTI-SCALE 3D ATTENTION NETWORKS FOR FINE-GRAINED EM SEGMENTATION /
- PERFORMANCE ASSESSMENT OF METAHEURISTIC OPTIMIZED PID CONTROLLERS FOR MULTI-AREA LOAD FREQUENCY CONTROL /
- ATTENTION-ENHANCED DEEP 3DU-NET FRAMEWORKS FOR MULTI-MODAL BRAIN TUMOR SEGMENTATION /
Θέμα: 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 /
Θέμα: 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 /
Συγγραφέας: Sizan, Mayan Uddin
Συγγραφέας: 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 /