Documenti analoghi: A COMPUTATIONALLY EFFICIENT DEEP LEARNING FRAMEWORK FOR SLEEP APNEA DETECTION /
- EMOTION RECOGNITION AND DETENTION OF SLEEP DISORDER FROM EEG SIGNAL: A STUDY /
- AN INTERPRETABLE REAL-TIME BONE FRACTURE DETECTION FRAMEWORK USING CUSTOM CNN: A COMPUTER-AIDED DIAGNOSTIC APPROACH /
- ATTENTION-ENHANCED DEEP 3DU-NET FRAMEWORKS FOR MULTI-MODAL BRAIN TUMOR SEGMENTATION /
- A COMPARATIVE BEHAVIOURAL STUDY OF MACHINE LEARNING AND DEEP LEARNING MODELS FOR NETWORK INTRUSION DETECTION ACROSS DATASETS OF DIFFERING STATISTICAL CHARACTER /
- A COMPREHENSIVE STUDY OF DEEP LEARNING, TEMPORAL ANALYSIS AND SEMANTIC-ANOMALY SUSION FOR IOT AND IIOT INTRUSION DETECTION /
- AN IOT BASED HEALTHCARE SOLUTION AND MEDICAL SPECIALTY CLASSIFICATION FROM BANGLA TEXT USING MACHINE AND DEEP LEARNING MODELS /
Soggetto: Electrical, Electronic and Communication Engineering.
- 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 /
- DEVELOPMENT OF A QUANTUM MECHANICAL DEVICE SIMULATOR FOR MOS DEVICES: A SCHRODINGER APPROACH /
- A NOVEL STUDY OF ELEMENTARY AND COMPOUND S EMI CONDUCTOR SOLAR CALL USING SIVA CO TCAD SIMULATOR /
Soggetto: 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 /
Autore: Rubai, Rizit Hossain
Autore: 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 /