Channels - ENHANCED DETECTION AND ANOMALY IDENTIFICATION IN CHIPLESS RFID SYSTEMS USING SCALABLE MACHINE LEARNING MODELS / :: Library Catalog

Lignende værker: ENHANCED DETECTION AND ANOMALY IDENTIFICATION IN CHIPLESS RFID SYSTEMS USING SCALABLE MACHINE LEARNING MODELS /

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DESIGN AND ANALYSIS OF ORIENTATION-INDEPENDENT CHIPLESS RFID SENSORS /
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IDENTIFICATION OF DDOS ATTACK THROUGH INTRUSION DETECTION MODEL USING ENSEMBLE MACHINE LEARNING /
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FLOW BASED ANOMALY DETECTION IN SOFTWARE DEFINED NETWORKING: A DEEP LEARNING APPROACH WITH FEATURE SELECTION METHOD /
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DEVELOPMEMENT OF A MACHINE LEARNING MODEL FOR BILLINGUAL SMS SPAM DETECTION /
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IDENTIFICATION OF BREST TUMOR FROM MRI IMAGES USING MACHINE LEARNING APPROACHES /
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BANGLA HATE SPEECH DETECTION ON SOCIAL MEDIA USING MACHINE LEARNING MODEL/
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DETECTION OF BRAIN TUMORS FROM MRI IMAGES USING MACHINE LEARNING APPROACHES /
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DESIGN AND PERFORMANCE ANALYSIS OF A LOW POWER SMALL AREA RFID TRANSPONDER FOR WIRELESS COMMUNICATION APPLICATIONS /
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MACHINE LEARNING MODEL TO DETECT PNEUMONIA OF COVID-19 PATIENTS FROM CHEST X-RAY IMAGES /
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MACHINE LEARNING APPROACHES FOR THE DETECTION OF LUNG CANCER USING MRI IMAGES /
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A COMPREHENSIVE STUDY OF DEEP LEARNING, TEMPORAL ANALYSIS AND SEMANTIC-ANOMALY SUSION FOR IOT AND IIOT INTRUSION DETECTION /
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EFFECT OF WASTE POLYPROPYLE PLASTIC ON SHRINKAGE PROPERTIES OF CONCRETE /
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COMPARATIVE ANALYSIS OF MACHINE LEARNING CLASSIFICATION MODELS FOR FRAUDULENT PAYMENT TRASACTION DETECTION/
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ENHANCED DETECTION OF ELECTRICITY THEFT IN SMART GRIDS USING A MACHINE LEARNING BOOSTING CLASSIFIERS BASED VOTING ENSEMBLE MODEL /
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AN ADVERSARIAL APPROACH FOR INTRUSION DETECTION USING DEEP LEARNING /
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HYBRID AI MODEL INTEGRATING DEEP LEARNING AND FUZZY LOGIC FOR TOMATO LEAF DISEASE DETECTION AND SEVERITY ESTIMATION /
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INVERSE ANALYSIS OF PAVEMENT LAYER PROPERTIES FROM FALLING WEIGHT DEFLECTOMETER DATA USING MACHINE LEARNING MODELS /
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MILLIMETER WAVE ON-CHIP DIELECTRIC RESONATOR ANTENNAS FOR ENHANCED BODY-CENTRIC WIRELESS COMMUNICATION /
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DESIGN AND IMPLEMENTATION OF CONTENT DELIVARY NETWORK (CDN) AND ITS TERRITORIAL ACCESSIBILITY /
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DESIGN AND ANALYSIS OF COMPACT MULTILEVEL INVERTERS BASED ON SWITHED-CAPACITOR STRUCTURES /
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DESIGN AND ANALYSIS OF HYBRID WAVEGUIDES FOR LONG RANGE SURFACE PLASMON PROPAGATION /
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PERFORMANCE EVALUATION OF A MULTI-HOP WDM NETWORK WITH OXC ARCHITECTURE /
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DEVELOPMENT OF A DEEP LEARNING-BASED MOBILE APPLICATION TO DETECT FRESHNESS OF FRUITS /
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AUTOMATIC HAND GESTURE RECOGNITION USING SEMANTIC SEGMENTATION AND DEEP LEARNING /

Emne: Electrical, Electronic and Communication Engineering

Emne: This Thesis paper of EECE in M.Sc. program

Forfatter: Afrin, Farhana

Forfatter: Supervised by Lt Col Md. Aminul Islam (Engrs)

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ENHANCED DETECTION AND ANOMALY IDENTIFICATION IN CHIPLESS RFID SYSTEMS USING SCALABLE MACHINE LEARNING MODELS /