Lignende værker: FINE-TUNED U-NET VARIATS WITH EXTENDED ARCHITECTURE FOR ENHANCED MICROSCOPIC IMAGE SEGMENTATION /
- RETINAL VESSEL SEGMENTATION USING MODIFIED U-NET MODEL /
- COLORECTAL CANCER HISTOPATHOLOGY SEGMENTATION AND CLASSIFICATION THROUGH DISTILLED MOBILENETV2 U-NET AND SWIN TRANSFORMER PIPELINE /
- SEMANTIC SEGMENTATION PERFORMANCE ANALYSIS OF U-NET AND UNETR FOR 2D BRATS WITHIN CONSUMER-GRADE HARDWARE LIMITS /
- ATTENTION-ENHANCED DEEP 3DU-NET FRAMEWORKS FOR MULTI-MODAL BRAIN TUMOR SEGMENTATION /
- A STUDY OF STATIC EXTENDED TRAILING EDGE FOR LIFT ENHANCEMENT /
- Extending the life of bridges /
Emne: Electrical, Electronic and Communication Engineering
- DESIGN AND ANALYSIS OF METAMATERIAL BASED BIOSENSOR TO DETERMINE BLOOD GLUCOSE CONCENTRATION /
- A COMPUTATIONALLY EFFICIENT DEEP LEARNING FRAMEWORK FOR SLEEP APNEA DETECTION /
- TEMPERATURE AND STATE OF CHARGE AWARE FAST CHARGING FOR LITHIUM-ION BATTERY SYSTEM /
- INTERPOLATION BASED ADAPTIVE REVERSIBLE DATA HIDING FOR DIGITAL IMAGE APPLICATIONS /
- ENERGY EFFICIENT OPERATIONS OF COMP BASED LTE-A CELLULAR NETWORKS WITH HYBERID POWER SUPPLIES /
- DESIGN AND CHARACTERIZATION OF BULK AND SOL FINFETS /
Emne: This Thesis Paper of EECE in BSc Program.
- A COMPUTATIONALLY EFFICIENT DEEP LEARNING FRAMEWORK FOR SLEEP APNEA DETECTION /
- TEMPERATURE AND STATE OF CHARGE AWARE FAST CHARGING FOR LITHIUM-ION BATTERY SYSTEM /
- A COMPARATIVE STUDY OF INORGANIC LEAD HALIDE PEROVSKITES BY ANALYZING THEIR ELECTRICAL, OPTICAL AND MECHANICAL PROPERTIES /
- 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 /