Documenti analoghi: ADVERSARIAL-AWARE BI-LEVEL UNET AND SEMI-SUPERVISED LEARNING FOR ENHANCING SKIN LESION SEGMENTATION /
- BI-LEVEL GATED UNET FOR POLYP SEGMENTATION WITH ADVERSARIAL RESILIENCE AND SEMI-SUPERVISED LEARNING /
- FLOOD DATA ANALYSIS USING SUPERVISED CLUSTERING AND SEMI-SUPERVISED LEARNING /
- ISCHEMIC STROKE LESION SEGMENTATION FROM DIFFUSION-WEIGHTED MRI USING DEEP ENSEMBLE LEARNING / /
- Supervision : concepts and skill building /
- AWARE TRANSFORMFROM REFUSE TO REFLECTION: AN EXPERIMENTAL MUSEUM REIMAGING THE ANANDABAZAR LANDFILL, HALISHAHAR, CHOTTOGRAM /
- AN ADVERSARIAL APPROACH FOR INTRUSION DETECTION USING DEEP LEARNING /
Soggetto: Electrical, Electronic and Communication Engineering.
- LONG TERM ENERGY DEMAND FORECASTING AND PROSPECT OF RENEWABLE ENERGY TECHNOLOGIES IN POWER SECTORS OF BANGLADESH /
- ANALYSIS OF HIGH FREQUENCY PROPAGATION PREDICTION MODELS IN THE CONTEXT OF BANGLADESH/
- DESIGN AND ANALYSIS OF METAMATERIAL BASED BIOSENSOR TO DETERMINE BLOOD GLUCOSE CONCENTRATION /
- PERFORMANCE EVALUATION OF EFFECTIVE SENSORS TO ACHIEVE RELIABLE FLARE ALTITUDE FOR FIXED WING UAV /
- DESIGN AND ANALYSIS OF UWB ANTENNAS FOR MICROWAVE IMAGING BASED MEDICAL APPLICATIONS /
- EVALUATION OF WWLLN PERFORMANCE RELATIVE TO THE LIGHTNING IMAGING SENSOR OF THE INTERNATIONAL SPACE STATION /
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 /