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

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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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LSTM-BASED DEEP LEARNING MODEL FOR SOLAR IRRADIANCE PREDICTION ACROSS DIVERSE CLIMATE ZONES /
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LEAKAGE-SAFE AND INTERPREETABLE MACHINE LEARNING FOR ELECTRICAL FAULT DIAGNOSISIN INDUSTRIAL VARIABLE-FREQUENCY DRIVES /
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OCCUPANT-CENTERED LIGHTING AND SHADING CONTROL USING MACHINE LEARNING ON A LOW-COST MICROCONTROLLER /
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DROUGHT PREDICTION: EMERGING ML METHODS AND FUTURE OPPORTUNITIES /
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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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PIONEER: A PHYSICS-INFORMED CONTRASTIVE AND INVARIANT FRAMEWORK FOR EV CHARGING DEMAND PREDICTION /
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A MACHINE LEARNING APPROACH FOR PREDICTING DAMAGE CONDITION OF BRIDGES IN BANGLADESH /
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主题: Electrical, Electronic and Communication Engineering.

主题: This Thesis Paper of EECE in BSc Program.

作者: Shahriar, Shifat

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MACHINE LEARNING APPROACHES FOR DRAGON FRUIT YIELD PREDICTION IN BANGLADESH /

作者: Supervised by Maj Marzuka Ahmed Jumana