Eitemau Tebyg: SEMANTIC SEGMENTATION PERFORMANCE ANALYSIS OF U-NET AND UNETR FOR 2D BRATS WITHIN CONSUMER-GRADE HARDWARE LIMITS /
- RETINAL VESSEL SEGMENTATION USING MODIFIED U-NET MODEL /
- FINE-TUNED U-NET VARIATS WITH EXTENDED ARCHITECTURE FOR ENHANCED MICROSCOPIC IMAGE SEGMENTATION /
- COLORECTAL CANCER HISTOPATHOLOGY SEGMENTATION AND CLASSIFICATION THROUGH DISTILLED MOBILENETV2 U-NET AND SWIN TRANSFORMER PIPELINE /
- Developing The Leader Within You /
- AUTOMATIC HAND GESTURE RECOGNITION USING SEMANTIC SEGMENTATION AND DEEP LEARNING /
- Consumers /
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 /