MACHINE LEARNING APPROACHES FOR DRAGON FRUIT YIELD PREDICTION IN BANGLADESH /
שמור ב:
| מחבר ראשי: | |
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| מחבר תאגידי: | |
| פורמט: | ספר |
| שפה: | אנגלית |
| יצא לאור: |
Dhaka :
EECE DEPT. MIST,
c2026.
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| נושאים: | |
| תגים: |
אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!
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פריטים דומים: MACHINE LEARNING APPROACHES FOR DRAGON FRUIT YIELD PREDICTION IN BANGLADESH /
- HYBRID QUANTUM-CLASSICAL LEARNING APPROACH FOR PREDICTING THE STATE OF HEALTH OF LITHIUM-ION BATTERIES /
- EXAMINING THE CONSISTENCY BETWEEN QUALITY-ASSURED RADIO OCCULTATION DATA IN BANGLADESH AND IRI PREDICTIONS /
- AI-POWERED DERMATOLOGICAL SCREENING IN BANGLADESH: ENSEMBLE LEARNING APPROACH WITH MOBILE DEPLOYMENT AND USABILITY VALIDATION /
- LSTM-BASED DEEP LEARNING MODEL FOR SOLAR IRRADIANCE PREDICTION ACROSS DIVERSE CLIMATE ZONES /
- COMPARATIVE ANALYSIS OF MACHINE LEARNING CLASSIFICATION MODELS FOR FRAUDULENT PAYMENT TRASACTION DETECTION/
- AN IMPROVED PREDICTION OF SUN'S CORONAL MASS EJECTION (CME) USING ARTIFICIAL NEURAL NETWORK (ANN) AND MACHINE LEARNING ALGORITHM /