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Abstract: This work addresses bi-objective hybrid flow shop scheduling problems considering consistent sublots (Bi-HFSP_CS). The objectives are to minimize the makespan and total energy consumption.
Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
FusionBench is a benchmark suite designed to evaluate the performance of various deep model fusion techniques. It aims to provide a comprehensive comparison of different methods on a variety of ...
Abstract: Based on the improved gap statistical algorithm, the bad data of the power system is mined so as to accomplish the detection and identification of bad data of power system, and improve the ...
President Rush Robinson delivers his weekly briefing during the SGA meeting on Tuesday, Nov. 11, 2025 in the Senate Chambers. (Jonah Savage) The WKU Student Government Association announced a new bill ...
Questions continue after MTSU professor found dead near her Dekalb Co. home Three days after the body of a MTSU professor was found dead with gunshot wounds, questions continue to surround the case ...
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