Eitemau Tebyg: DEVELOPING MULTI-SCALE 3D ATTENTION NETWORKS FOR FINE-GRAINED EM SEGMENTATION /
- ATTENTION-ENHANCED DEEP 3DU-NET FRAMEWORKS FOR MULTI-MODAL BRAIN TUMOR SEGMENTATION /
- DEVELOPMENT OF AN APPARATUS FOR DETERMINING PLASTIC LIMIT OF FINE GRAINED SOIL /
- EFFECT OF INDEX PROPERTIES ON COMPACTED DENSITY OF FINE GRAINED SOIL /
- FINE-TUNED U-NET VARIATS WITH EXTENDED ARCHITECTURE FOR ENHANCED MICROSCOPIC IMAGE SEGMENTATION /
- DEEPLABV3+ DRIVEN POLYP SEGMENTATION: ADVANCING COLONOSCOPY DIAGNOSIS /
- STACKED ATTENTION BASED DEEP LEARNING MODEL FOR VIDEO CAPTIONING IN BENGALI /
Pwnc: Electrical, Electronic and Communication Engineering
- DESIGN AND CHARACTERIZATION OF BULK AND SOL FINFETS /
- BASE TRANSIT OF A GRADED BANE ALyGa1-yAs HBT USING THE ANALYTICAL MODEL DEVELOPED FOR SIGE DEVICE WITH FOR GAUSSIAN DOPED BASE /
- A COMPREHENSIVE INVESTIGATION OF GaSb/GaAs0.5Sb0.5/GaAs BASED DG-HJ-SP-HD VERTICAL TUNNEL FET FOR OPTIMIZED LOW POWER APPLICATIONS: EXPLORING THE IMPACT OF DEVICE PARAMETER VARIATIONS /
- 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/
Pwnc: This Thesis Paper of EECE in BSc Program.
- A COMPREHENSIVE INVESTIGATION OF GaSb/GaAs0.5Sb0.5/GaAs BASED DG-HJ-SP-HD VERTICAL TUNNEL FET FOR OPTIMIZED LOW POWER APPLICATIONS: EXPLORING THE IMPACT OF DEVICE PARAMETER VARIATIONS /
- PERFORMANCE ANALYSIS OF CONTEMPORARY POWER DISTRIBUTION NETWORKS USING IEEE 13 BUS SYSTEM /
- AN IOT BASED HEALTHCARE SOLUTION AND MEDICAL SPECIALTY CLASSIFICATION FROM BANGLA TEXT USING MACHINE AND DEEP LEARNING MODELS /
- DESIGNING SOFTWARE DEFINED RADIO (SDR) FOR SECURED MULTIMODE WIDEBAND OPERATION /
- 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 /