פריטים דומים: EFFICIENT SPEED CONTROL AND COMPARISON OF VOLTAGE GAIN AND EFFICIENCY OF SEPARATELY EXCITED DC MOTOR WITH SEPIC CONVERTER AND ZETA CONVERTER /
- COMPARISON OF EFFICIENCY AND VOLTAGE GAIN OF CUK AND ZETA CONVERTER WITH PRECISE SPEED CONTROL OF SEPARATELY EXCITED DC MOTOR /
- ANALYSIS AND COMPARISON OF EFFICIENCY AND VOLTAGE GAIN OF SEPIC WITH IGBT AND SNUBBER CIRCUIT AS SWITCHING DEVICE
- HIGH EFFICIENT MODIFIED HYBRID DC-DC CONVERTERS USING SNUBBER CIRCUITS /
- Efficiency Improvement Of Dc To Dc Boost Converter With Two Input Power Sources For Renewable Energy Application
- Converting water into wealth : regional cooperation in harnessing the eastern Himalayan rivers /
- INTEGRATION OF GENETIC ALGORITHM TUNED PID CONTROL IN DC-DC CONVERTERS FOR IMPROVED VAXIMUM POWER POINT TRACKING OF SOLAR PV: A COMPARATIVE ANALYSIS /
נושא: 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 /
נושא: 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 /