相似書籍: LSTM-BASED DEEP LEARNING MODEL FOR SOLAR IRRADIANCE PREDICTION ACROSS DIVERSE CLIMATE ZONES /
- EXPLAINABLE AI BASED SOLAR IRRADIANCE PREDICTION FROM WEATHER DATA USING MACHINE LEARNING AND DEEP LEARNING WITH HYBRIDIZED CLUSTERING /
- A COMPARATIVE BEHAVIOURAL STUDY OF MACHINE LEARNING AND DEEP LEARNING MODELS FOR NETWORK INTRUSION DETECTION ACROSS DATASETS OF DIFFERING STATISTICAL CHARACTER /
- Art across time /
- EARTHQUAKE MAGNITUDE PREDICTION USING MACHINE LEARNING AND DEEP LEARNING /
- Deep learning /
- TROPICAL CYCLONE PREDICTION AND INTENSITY ESTIMATION USING MACHINE LEARNING AND DEEP LEARNING /
主題: 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/
主題: This Thesis Paper of EECE in BSc Program.
- 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 /
- DESIGNING SOFTWARE DEFINED RADIO (SDR) FOR SECURED MULTIMODE WIDEBAND OPERATION /
- 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 /