Samankaltaisia teoksia: METAHEURISTIC SEARCH-BASED FEATURE SET SELECTION TECHNIQUES FOR CREDIT CARD FRAUD DETECTION /
- Data mining for intelligence,fraud & criminal detection : advanced analytics & information sharing technologies /
- Consumer and business credit management /
- Health care fraud and abuse : practical perspectives /
- FLOW BASED ANOMALY DETECTION IN SOFTWARE DEFINED NETWORKING: A DEEP LEARNING APPROACH WITH FEATURE SELECTION METHOD
- FLOW BASED ANOMALY DETECTION IN SOFTWARE DEFINED NETWORKING: A DEEP LEARNING APPROACH WITH FEATURE SELECTION METHOD /
- Set theory & numbers /
Aihe: Computer Science and Engineering
- USER SESSION BASED AUTOMATED TEST CASE GENERATION USING NEUMATIC ALGORITHM /
- ROBUST OBJECT SEGMENTATION USING MODIFICATION OF CLASSICAL SPLIT AND MERGE ALGORITHM /
- A CLOUD-BASED MODEL FOR DEVELOPING E-COMMERCE APPLICATIONS IN CONTEXT OF BANGLADESH /
- CLOUD BASED APPLICATION SERVER FOR UNIVERSITIES : A NEW APPROACH /
- OPTIMIZING DIVIDE AND CONQUER BASED ALGORITHMS : THE CASE OF HEAPSORT /
- CLUSTERING AND ANT COLONY BASED ROUTING PROTOCOL FOR WIRELESS SENSOR NETWORKS /
Aihe: This Thesis Paper of CSE in MSc Program.
- DEVELOPMENT OF AN IOT AND BLOCKCHAIN INTEGRATED VERTICAL FARMING SYSTEM /
- TRANSFORMER AND POSE GRAMMAR BASED DEEP NEURAL NETWORK FOR 3D HUMAN POSE ESTIMATION /
- DEVELOPMENT OF A FUZZY INFERNENCE SYSTEM BASED WEB APPLICATION FOR EARLY PREDICTION OF CORONAVIRUS DISEASE /
- VISION TRANSFORMER-BASED DEEP LEARNING TECHNIQUES FOR IMPROPER FACE MASK-WEARING DETECTION /
- DEVELOPMENT OF A STROKE PREDICTION SYSTEM BASED ON IOT AND MACHINE LEARNING /
- DEVELOPMENT OF A PREDICTION SYSTEM FOR HOUSEHOLD ELECTRICITY CONSUMTION IN DHAKA CITY /
Tekijä: Mozumder, Ahamed Nokib
Tekijä: Supervised by Nusrat Sharmin
- TROPICAL CYCLONE PREDICTION AND INTENSITY ESTIMATION USING MACHINE LEARNING AND DEEP LEARNING /
- LEAF DISEASE DETECTION BASED ON GENERATIVE ADVERSARIAL NETWORK /
- EXPLAINABLE AI BASED SOLAR IRRADIANCE PREDICTION FROM WEATHER DATA USING MACHINE LEARNING AND DEEP LEARNING WITH HYBRIDIZED CLUSTERING /
- FLOOD DETECTION AND FLOODED AREA SEGMENTATION USING ENSEMBLE MACHINE LEARNING AND DEEP LEARNING APPROACHES /
- RETINAL VESSEL SEGMENTATION USING MODIFIED U-NET MODEL /
- METAHEURISTIC SEARCH-BASED FEATURE SET SELECTION TECHNIQUES FOR CREDIT CARD FRAUD DETECTION /