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Toplam kayıt 4, listelenen: 1-4
Data-driven interpretable ensemble learning methods for the prediction of wind turbine power incorporating SHAP analysis
(Elsevier, 2023)
Wind energy increasingly attracts investment from many countries as a clean and renewable energy source. Since
wind energy investment cost is high, the efficiency of a potential wind power plant should be determined ...
Using blockchain technology to drive operational excellence in perishable food supply chains during outbreaks
(Emerald Group Publishing, 2021)
Purpose This paper aims to explore the potential of blockchain technology (BT) to support the operational excellence in perishable food supply chain (PFSC) during outbreaks, by doing use-case analysis. Design/methodology/approach ...
Application of machine learning methods for pallet loading problem
(MDPI-Multidisciplinary Digital Publishing Institute, 2021)
Because of continuous competition in the corporate industrial sector, numerous companies are always looking for strategies to ensure timely product delivery to survive against their competitors. For this reason, logistics ...
Artificial intelligence and machine learning applications in agricultural supply chain: a critical commentary
(Fresenius Environmental Bulletin, 2021)
Integration of AI and ML technologies in the agricultural supply chain (ASC) is revolutionalizing, the domain by bringing in robust monitoring and prediction as well as quick decision-making abilities. A comprehensive ...