Podobné jednotky: DESIGN AND OPTIMIZATION OF A DRONE-BASED AIR DEFENSE SYSTEM FOR BANGLADESH INTEGRATING YOLO-BASED THREAT DETECTION, SHORTEST PATH INTERCEPTION AND OPTIMAL DRONE DEPLOYMENT STRATEGIES /
- AN ALGORITHM TO DETERMINE OPTIMAL PATH FOR GIS BASED ROAD NETWORK
- AN ALGORITHM TO DETERMINE OPTIMAL PATH FOR GIS BASED ROAD NETWORK
- EVALUATION OF STABILITY & PERFORMANCE ANALYSIS WITH MODIFICATION & OPTIMIZATION OF DESIGN OF A FIXED WING TARGET DRONE(UAV) FOR AIR DEFENSE SYSTEM /
- ADAPTIVE DRONE PATH OPTIMIZATION USING D*LITE, NONLINEAR MODEL PREDICTIVE CONTROL AND B-SPLINE TRAJECTORY PLANNING /
- DESIGN AND FABRICATION OF A FIXED-WING (UNMANNED AERIAL VEHICLE) TARGET DRONE FOR TESTING OF AIR DEFENSE SYSTEM /
- STRUCTURAL DESIGN OF A TARGET DRONE /
Téma: 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 /
Téma: 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 /