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27451 |
SMART-CYPS: an intelligent internet of things and machine learning powered crop yield prediction system for food security
Enthalten in Discover Internet of things Bd. 4, 5.11.2024, Nr. 1, date:12.2024: 1-20
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27452 |
Smart dairy farming for predicting milk production yield based on deep machine learning
Enthalten in International journal of information technology Bd. 16, 25.7.2024, Nr. 7, date:10.2024: 4181-4190
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27453 |
Smart Farming: An Integrated Platform for Crop and Fertilizer Prediction using Machine Learning and Orange Data Mining
Enthalten in SN Computer Science Bd. 6, 30.5.2025, Nr. 5, date:6.2025: 1-16
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27454 |
Smart Grids and Machine Learning in Chinese and Western Intellectual Property Law
Enthalten in International review of intellectual property and competition law Bd. 52, 30.8.2021, Nr. 8, date:9.2021: 989-1019
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27455 |
Smart housing: integrating machine learning in sustainable urban planning, interior design, and development
Enthalten in Asian journal of civil engineering Bd. 26, 24.10.2024, Nr. 1, date:1.2025: 59-71
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27456 |
Smart Machining Process Using Machine Learning: A Review and Perspective on Machining Industry
Enthalten in International journal of precision engineering and manufacturing-green technology Bd. 5, 23.8.2018, Nr. 4, date:8.2018: 555-568
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27457 |
Smart Malaria Classification: A Novel Machine Learning Algorithms for Early Malaria Monitoring and Detecting Using IoT-Based Healthcare Environment
Enthalten in Sensing and imaging Bd. 25, 9.9.2024, Nr. 1, date:12.2024: 1-23
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27458 |
Smart monitoring of road pavement deformations from UAV images by using machine learning
Enthalten in Innovative infrastructure solutions Bd. 9, 20.12.2023, Nr. 1, date:1.2024: 1-18
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27459 |
Smart pothole detection system using vehicle-mounted sensors and machine learning
Enthalten in Journal of civil structural health monitoring Bd. 9, 10.1.2019, Nr. 1, date:2.2019: 91-102
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27460 |
Smart Production and Manufacturing System Using Digital Twin Technology and Machine Learning
Enthalten in SN Computer Science Bd. 4, 29.7.2023, Nr. 5, date:9.2023: 1-10
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