Documenti analoghi: PATCH-TRANSFERMER BASED DEEP LEARNING MODEL FOR ELECTRICITY THEFT DETECTION IN SMAART CARD /
- SMART CCTV FOR LOW RESOURCE BASED THEFT DETECTION /
- ENHANCED DETECTION OF ELECTRICITY THEFT IN SMART GRIDS USING A MACHINE LEARNING BOOSTING CLASSIFIERS BASED VOTING ENSEMBLE MODEL /
- Deep learning /
- AN ADVERSARIAL APPROACH FOR INTRUSION DETECTION USING DEEP LEARNING /
- METAHEURISTIC SEARCH-BASED FEATURE SET SELECTION TECHNIQUES FOR CREDIT CARD FRAUD DETECTION /
- Analyzing the Performance of Deep Learning Models for Detecting Hate Speech on Social Media Platforms
Soggetto: Electrical, Electronic and Communication Engineering.
- ANALYSIS AND DEVELOPMENT OF REVERSIBLE DATA HIDING SCHEME BASED ON PIXEL VALUE ORDERING /
- DESIGN AND PERFORMANCE ANALYSIS OF RING VCO BASED ON MOS CAPACITANCE USING 90NM CMOS PROCESS TECHNOLOGY FOR WIRELESS APPLICATION /
- PERFORMANCE ANALYSIS OF M-ARRAY MODULATION TECHNIQUES ON FREE SPACE OPTICAL COMMUNICATION CHANEL UNDER WEAK TURBULENCE /
- PERFORMANCE ANALYSIS OF A FREE SPACE OPTICAL COMMUNICATION LINK IN PRESENCE OF STRONG ATMOSPHERIC TURBULENCE OF USING DIFFERENT MODULATION SCHEMES /
- PERFORMANCE IMPROVEMENT OF WIRELESS MOBILE COMMUNICATION THOUGHT OFFLOADING /
- ANALYTICAL EVALUATION OF PROBABILITY OF NON-ZERO SECRECY OUTAGE PROBABILITY FOR A WIRELESS LINK OVER WEIBULL FADING CHANNEL /
Soggetto: This Thesis Paper of EECE in BSc Program.
- FINE-TUNED U-NET VARIATS WITH EXTENDED ARCHITECTURE FOR ENHANCED MICROSCOPIC IMAGE SEGMENTATION /
- ANALYSIS OF LIGHTNING STRIKE EFFECTS ON POWER MOSFETS AND PROTECTIVE CIRCUIT DESIGN /
- WAVLORA-SAM: WAVELET-ENHANCED LOW-RANK ADAPTATION OF SAM 2.1 WITH MULTISCALE HYBRID PROMPTING FOR EXPLAINABLE SKIN LESION SEGMENTATION/
- CHARACTERIZATION AND PREDICTION OF IONOSPHERIC SCITILLIATION OVER SOUTH ASIA USING MULTI-CONSTELLATION GNSS OBSERVATIONS /
- HYBRID ADAPTATIVE TRANSFORMER DIFFERENTIAL PROTECTION: AN INTELLIGENT DWT-LSTM GRAMEWORK /
- OPTIMAL PLACEMENT OF DISTINCT SIZE EV CHARGING STATIONS USING EXHAUSTIVE SEARCH AND BFS LOAD FLOW /