Abstract: To improve staff selection procedures in human resource management, this research explores the use of sophisticated decision tree algorithms. The project intends to increase the predicted ...
After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...
Abstract: This article studies an energy-efficient hybrid flow-shop scheduling problem (EHFSP) considering variable machine speed (EHFSP-VMS). To minimize the makespan and total energy consumption ...
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