Kanallar - MACHINE LEARNING APPROACHES FOR DRAGON FRUIT YIELD PREDICTION IN BANGLADESH / :: Library Catalog

Benzer Materyaller: MACHINE LEARNING APPROACHES FOR DRAGON FRUIT YIELD PREDICTION IN BANGLADESH /

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HYBRID QUANTUM-CLASSICAL LEARNING APPROACH FOR PREDICTING THE STATE OF HEALTH OF LITHIUM-ION BATTERIES /
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EXAMINING THE CONSISTENCY BETWEEN QUALITY-ASSURED RADIO OCCULTATION DATA IN BANGLADESH AND IRI PREDICTIONS /
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AI-POWERED DERMATOLOGICAL SCREENING IN BANGLADESH: ENSEMBLE LEARNING APPROACH WITH MOBILE DEPLOYMENT AND USABILITY VALIDATION /
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LSTM-BASED DEEP LEARNING MODEL FOR SOLAR IRRADIANCE PREDICTION ACROSS DIVERSE CLIMATE ZONES /
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COMPARATIVE ANALYSIS OF MACHINE LEARNING CLASSIFICATION MODELS FOR FRAUDULENT PAYMENT TRASACTION DETECTION/
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AN IMPROVED PREDICTION OF SUN'S CORONAL MASS EJECTION (CME) USING ARTIFICIAL NEURAL NETWORK (ANN) AND MACHINE LEARNING ALGORITHM /
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MULTIMODAL DEEP LEARNING FOR SOLAR PANEL CONDITION ASSESSMENT: A SENSOR-VISUAL FUSION APPROACH/
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A COMPARATIVE BEHAVIOURAL STUDY OF MACHINE LEARNING AND DEEP LEARNING MODELS FOR NETWORK INTRUSION DETECTION ACROSS DATASETS OF DIFFERING STATISTICAL CHARACTER /
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INVESTIGATION OF THE TOPSIDE IONOSPHERE OVER BANGLADESH USING SWARM, COSMIC AND GNSS DATA INCLUDING IRI PREDICTIONS /
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OCCUPANT-CENTERED LIGHTING AND SHADING CONTROL USING MACHINE LEARNING ON A LOW-COST MICROCONTROLLER /
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FEASIBILITY STUDY OF PROSPECTIVE THIRD EAST WEST INTERCONNECTOR IN BANGLADESH NATIONAL GRID /
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DROUGHT PREDICTION: EMERGING ML METHODS AND FUTURE OPPORTUNITIES /
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ANALYSIS OF HIGH FREQUENCY PROPAGATION PREDICTION MODELS IN THE CONTEXT OF BANGLADESH/
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CLASSIFICATION OF AUTISM SPECTRUM DISORDER FROM RS-FMRI SCANS BY FEATURE REDUCTION ON ENSEMBLE MACHINE LEARNING AND CNN/
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AN IOT BASED HEALTHCARE SOLUTION AND MEDICAL SPECIALTY CLASSIFICATION FROM BANGLA TEXT USING MACHINE AND DEEP LEARNING MODELS /
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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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CHARACTERIZATION AND PREDICTION OF IONOSPHERIC SCITILLIATION OVER SOUTH ASIA USING MULTI-CONSTELLATION GNSS OBSERVATIONS /
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A MACHINE LEARNING APPROACH FOR PREDICTING DAMAGE CONDITION OF BRIDGES IN BANGLADESH /
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ENHANCED DETECTION AND ANOMALY IDENTIFICATION IN CHIPLESS RFID SYSTEMS USING SCALABLE MACHINE LEARNING MODELS /
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A GOLD-COATED DUAL-POLISHED SLOTTED-CHANNEL PCF-SPR SENSOR FOR GLYCERINE CONCENTRATION DETECTION IN BIOMEDICAL AND PHARMACEUTICAL APPLICATIONS /
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MODELLING AND FDTD ANALYSIS OF A COUPLING ENHANCED ITO BASED COMPACT HYBRID PLASMONIC ELECTRO OPTIC MODULATOR FOR PIC APPLICATIONS /
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BI-LEVEL GATED UNET FOR POLYP SEGMENTATION WITH ADVERSARIAL RESILIENCE AND SEMI-SUPERVISED LEARNING /
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ADVERSARIAL-AWARE BI-LEVEL UNET AND SEMI-SUPERVISED LEARNING FOR ENHANCING SKIN LESION SEGMENTATION /
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A COMPREHENSIVE STUDY OF DEEP LEARNING, TEMPORAL ANALYSIS AND SEMANTIC-ANOMALY SUSION FOR IOT AND IIOT INTRUSION DETECTION /

Konu (Topic): Electrical, Electronic and Communication Engineering.

Konu (Topic): This Thesis Paper of EECE in BSc Program.

Yazar: Shahriar, Shifat

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MACHINE LEARNING APPROACHES FOR DRAGON FRUIT YIELD PREDICTION IN BANGLADESH /

Yazar: Supervised by Maj Marzuka Ahmed Jumana