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Data-driven evaluation of machine learning models for climate control in operational smart greenhouses., , , and . J. Ambient Intell. Smart Environ., 15 (1): 3-17 (2023)Evaluation of time-series libraries for temperature prediction in smart greenhouses., , , , , and . Intelligent Environments, page 1-7. IEEE, (2022)Evaluation of low-power devices for smart greenhouse development., , , , , and . J. Supercomput., 79 (9): 10277-10299 (June 2023)An Exploratory Data Analysis for League of Legends Professional Match Data., , , and . Intelligent Environments (Workshops), volume 32 of Ambient Intelligence and Smart Environments, page 73-81. IOS Press, (2023)Using remote GPU virtualization techniques to enhance edge computing devices., , , , , and . Future Gener. Comput. Syst., (May 2023)Evaluation of synthetic data generation for intelligent climate control in greenhouses., , , , , and . Appl. Intell., 53 (21): 24765-24781 (November 2023)Evaluation of Clustering Algorithms on GPU-Based Edge Computing Platforms., , , , and . Sensors, 20 (21): 6335 (2020)Nationwide Air Pollution Forecasting with Heterogeneous Graph Neural Networks., , and . ACM Trans. Intell. Syst. Technol., 15 (1): 18:1-18:19 (February 2024)SEPARATE: A tightly coupled, seamless IoT infrastructure for deploying AI algorithms in smart agriculture environments., , , , , , and . Internet Things, (July 2023)A multi-model deep learning approach to address prediction imbalances in smart greenhouses., , and . Comput. Electron. Agric., (January 2024)