Samankaltaisia teoksia: ENHANCED FEATURE EXTRACTION FOR SEIZURE FORECASTING:
- WAVLORA-SAM: WAVELET-ENHANCED LOW-RANK ADAPTATION OF SAM 2.1 WITH MULTISCALE HYBRID PROMPTING FOR EXPLAINABLE SKIN LESION SEGMENTATION/
- ULTRA SHORT TERM LOAD FORECASTING TECHNIQUES BASED ON KOLMOGOROV ARNOLD-RNN NETWORK /
- ENHANCEMENT OF DISASTER RESPONSE COMMUNICATION SYSTEM BY DEVELOPING APPROPRIATE RF AMPLIFIER AND INCORPORATING SAFETY FEATURES IN LOW ALTITUDE PLATFORM BASE STATION /
- ADVANCED TIME SERIES FORECASTING FOR BANGLADESH'S ENERGY GRID: OPTIMIZING LSTM AND BILSTM MODELS WITH GENETIC ALGORITHMS FOR IMPROVED ACCURACY /
- CLASSIFICATION OF AUTISM SPECTRUM DISORDER FROM RS-FMRI SCANS BY FEATURE REDUCTION ON ENSEMBLE MACHINE LEARNING AND CNN/
- SPATIO-TEMPORAL GRAPH NEURAL NETWORK-BASED TIME-SERIES FORECASTING: CASE STUDIES ON REGIONAL GRID DEMAND AND WIND POWER GENERATION DATA /
Aihe: 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 /
Aihe: 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 /
Tekijä: Mahmud, Shabab
Tekijä: Supervised by Maj Md Abdul Wahed
- A COMPUTATIONALLY EFFICIENT DEEP LEARNING FRAMEWORK FOR SLEEP APNEA DETECTION /
- A COMPARATIVE BEHAVIOURAL STUDY OF MACHINE LEARNING AND DEEP LEARNING MODELS FOR NETWORK INTRUSION DETECTION ACROSS DATASETS OF DIFFERING STATISTICAL CHARACTER /
- ENHANCED FEATURE EXTRACTION FOR SEIZURE FORECASTING: A COMPARATIVE IMPLEMENTATION OF PCA AND AUTOCODERS /
- MULTI-MODEL CLASSIFIER ENSEMBLE FOR URBAN TRAFFIC CONGESTION /