Documenti analoghi: VISUALIZING BENGALI SPEECH WITH LIPNET AND MEDIAPIPE /
- PIONEERING BENGALI LIP-READING DATASET FOR PRONUNCIATION MAPPING THROUGH LIP GESTURES /
- SECURING VOICE BIOMETRICS AGAINST AI-GENERATED SPEECH ATTACKS: A NOISE-ROBUST SAME-CONTENT BANGLA DEEPFAKE DETECTION FRAMEWORK /
- MULTIMODAL DEEP LEARNING FOR SOLAR PANEL CONDITION ASSESSMENT: A SENSOR-VISUAL FUSION APPROACH/
- OPTIMAL PLACEMENT OF DISTINCT SIZE EV CHARGING STATIONS USING EXHAUSTIVE SEARCH AND BFS LOAD FLOW /
- INTEGRATION OF GENETIC ALGORITHM TUNED PID CONTROL IN DC-DC CONVERTERS FOR IMPROVED VAXIMUM POWER POINT TRACKING OF SOLAR PV: A COMPARATIVE ANALYSIS /
- ANALYSIS OF LIGHTNING STRIKE EFFECTS ON POWER MOSFETS AND PROTECTIVE CIRCUIT DESIGN /
Soggetto: 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 /
Soggetto: 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 /