Míreanna comhchosúla: A TECHNIQUE FOR OPTIMAL PLACEMENT OF DISTRIBUTED GENERATORS IN POWER SYSTEM NETWORKS /
- A TECHNIQUE FOR OPTIMAL PLACEMENT OF DISTRIBUTED GENERATORS IN POWER SYSTEM NETWORKS
- DESIGN AND IMPLEMENTATION OF CONTENT DELIVARY NETWORK (CDN) AND ITS TERRITORIAL ACCESSIBILITY /
- DEVELOPING HETEROGENEOUS TRAFFIC STATE MEASUREMENT TECHNIQUES BASED ON IMAGE PROCESSING AND MODELING /
- OPTIMIZATION OF MATERIAL DISTRIBUTION FOR MINIMIZING STRESSES AND DEFLECTIONS IN FGM BEAMS /
- Power generation, transmission and distribution /
- HYBRID PAPR REDUCTION TECHNIQUES IN OFDM AND MIMO-OFDM SYSTEM FOR DIFFERENT MODULATION SCHEMES /
Topaic: Thesis Paper of EECE in M.Sc Prog.
- DESIGN AND DEVELOPMENT OF AN EFFICIENT CHARGING SYSTEM FOR THE BATTERY OPERATED VEHICLES IN BANGLADESH / Md Rezaul Awal .
- A TECHNIQUE FOR OPTIMAL PLACEMENT OF DISTRIBUTED GENERATORS IN POWER SYSTEM NETWORKS / Shah Mohazzem Hossain ,
- OUTAGE CAPACITY ANALYSIS OF MC-CDMA BASED ON COGNITIVE RADIO NETWORK /
- ANALYTICAL EVALUATION OF THE EFFECT OF CROSS-POLARIZATION IN A POLARIZATION DIVERSITY MIMO SATELLITE TO GROUND LINK /
- HYBRID PAPR REDUCTION TECHNIQUES IN OFDM AND MIMO-OFDM SYSTEM FOR DIFFERENT MODULATION SCHEMES /
- COMPARATIVE ANALYSIS OF SILOCON NANOWIRE SENSORS IN ACCUMULATION/ INVERSION MODE AND PERFORMENCE BENCE MARKING /
Topaic: 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/