Samankaltaisia teoksia: IMPROVED FMCW RADAR SENSING FOR HUMAN ACTIVITY RECOGNITION SYSTEMS /
- PERFORMANCE ANALYSIS OF DIFFERENT TRACKING FILTERS FOR IMPROVING ACCURACY IN RADAR DETECTION /
- PERFORMANCE ANALYSIS OF DIFFERENT TRACKING FILTERS FOR IMPROVING ACCURACY IN RADAR DETECTION /
- ROBUST MULTI-CONDITION MOTOR IMBALANCE DIAGOSIS USING NON-CONTACT COHERENT RADAR I/Q SENSING AND DEPLOYMENT-AWARE LEARNING /
- SPATIO-TEMPORAL GRAPH NEURAL NETWORK-BASED TIME-SERIES FORECASTING: CASE STUDIES ON REGIONAL GRID DEMAND AND WIND POWER GENERATION DATA /
- LEAKAGE-SAFE AND INTERPREETABLE MACHINE LEARNING FOR ELECTRICAL FAULT DIAGNOSISIN INDUSTRIAL VARIABLE-FREQUENCY DRIVES /
- ADVANCING STACKED U-NETS WITH CROSS-STAGE ATTENTION FOR PRECISE ROAD MAPPING IN REMOTE SENSING /
Aihe: 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 /
Aihe: 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 /
Tekijä: Siam, Labib Siddique
Tekijä: Supervised by Maj Newaj Faisal
- IMPROVED FMCW RADAR SENSING FOR HUMAN ACTIVITY RECOGNITION SYSTEMS /
- SECURING VOICE BIOMETRICS AGAINST AI-GENERATED SPEECH ATTACKS: A NOISE-ROBUST SAME-CONTENT BANGLA DEEPFAKE DETECTION FRAMEWORK /
- DEEP LEARRNING IN AUDIO SIGNAL PROCESSING : HYBRID ACOUSTIC INTELLIGENCE FOR CIVIL AND MILITARY SURVEILLENCE /