Նմանատիպ նյութեր: THE EARLY VOLTAGE AND CURRENT GAIN OF IN GA AS DOUBLE HETERO JUNCTION BIPOLAR TRANSISTOR /
- The Early Voltage and Current Gain of InGaAs Double Heterojunction Bipolar Transistor
- ENHANCING DOUBLE-CHANNEL AlGaN/GaN HEMT PERFORMANCE: INVESTIGATING THE INFLUENCE OF GATE DIELECTRIC AND THICKNESS /
- ANALYSIS AND COMPARISON OF EFFICIENCY AND VOLTAGE GAIN OF SEPIC WITH IGBT AND SNUBBER CIRCUIT AS SWITCHING DEVICE
- Gaining control : managing capacity & priorities /
- Gaining control : capacity management and scheduling /
- SINGLE ELECTRON TRANSISTOR (SET): OPERATION AND APPLICATION PERSPECTIVES
Խորագիր: Thesis Paper of EECE in B.Sc Prog.
- DESIGN AND CHARACTERIZATION OF BULK AND SOL FINFETS /
- BASE TRANSIT OF A GRADED BANE ALyGa1-yAs HBT USING THE ANALYTICAL MODEL DEVELOPED FOR SIGE DEVICE WITH FOR GAUSSIAN DOPED BASE /
- IMPROVEMENT OF EXISTING SOLAR HOME SYSTEM IN MIST ADMINISTRATION BUILDING USING PV YST & RET SCREEN SOFTWARE /
- FAULT DIAGNOSIS OF DIFFERENTIAL AMPLIFIER ANALOG CIRCUITS USING BJT (ITC 97 BENCHMARK CIRCUITS) UTILIZING COMBINED EFFECT OF GAIN AND PHASE OF OUTPUT VOLTAGE WITH FREQUENCY /
- MODELING AND SIMULATION FOR EFFICIENCY OF III-V CONCENTRATOR PHOTOVOLTAICS /
- MODIFIED PRICEWISE POINT POWER POSITIONING WITH AMBIGUITY VALIDATION AND ANALYSIS OF STRUCTURAL INTERFERENCE WITH COUNTERMEASURES FOR BETTER BETTER PERFORMANCE IN GNSS SYSTEM /
Խորագիր: Electrical, Electronic and Communication Engineering.
- DESIGN AND CHARACTERIZATION OF BULK AND SOL FINFETS /
- BASE TRANSIT OF A GRADED BANE ALyGa1-yAs HBT USING THE ANALYTICAL MODEL DEVELOPED FOR SIGE DEVICE WITH FOR GAUSSIAN DOPED BASE /
- 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 /
- ANALYSIS OF BER PERFORMANCE ON DIFFERENT MODULATION TECHNIQUES OVER AWGN CHANNEL /
- DESIGN OF A DUAL-BAND MICROSTRIP PATCH ANTENNA WITH ENHANCED BANDWIDTH AND GAIN FOR 5G APPLICATIONS /
- CLASSIFICATION OF AUTISM SPECTRUM DISORDER FROM RS-FMRI SCANS BY FEATURE REDUCTION ON ENSEMBLE MACHINE LEARNING AND CNN/