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Anastasios Alexiadis, Ioannis Refanidis, Ilias Sakellariou
Pág. 53 - 66
Automated meeting scheduling is the task of reaching an agreement on a time slot to schedule a new meeting, taking into account the participants? preferences over various aspects of the problem. Such a negotiation is commonly performed in a non-automated...
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Lulu Cheng, Ning Zhao, Kan Wu and Zhibin Chen
Autonomous mobile robots (AMRs) play a crucial role in transportation and service tasks at hospitals, contributing to enhanced efficiency and meeting medical demands. This paper investigates the optimization problem of scheduling strategies for AMRs at s...
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Falah Y. H. Ahmed, Amal Abulgasim Masli, Bashar Khassawneh, Jabar H. Yousif and Dilovan Asaad Zebari
Long-Term Evolution (LTE) technology is utilized efficiently for wireless broadband communication for mobile devices. It provides flexible bandwidth and frequency with high speed and peak data rates. Optimizing resource allocation is vital for improving ...
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Mohd Hafizuddin Bin Kamilin, Mohd Anuaruddin Bin Ahmadon and Shingo Yamaguchi
In this journal, we proposed a novel method of using multi-task learning to switch the scheduling algorithm. With multi-task learning to change the scheduling algorithm inside the scheduling framework, the scheduling framework can create a scheduler with...
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Ching-Yen Chung,Aleksey Shepelev,Charlie Qiu,Chi-Cheng Chu,Rajit Gadh
Pág. 114 - 123
With an increased number of plug-in electric vehicles (PEVs) on the roads, PEV charging infrastructure is gaining an ever-more important role in simultaneously meeting the needs of drivers and those of the local distribution grid. However, the current ap...
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Lingpeng Meng, Xudong Wang, Jie Jin and Chuanfeng Han
In the context of economic globalization and the development of information networks, container liner transportation plays a crucial role in international trade. However, the inherent inflexibility of fixed schedules in liner operations poses challenges ...
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Chongxun Mo, Shutan Zhao, Yuli Ruan, Siyi Liu, Xingbi Lei, Shufeng Lai, Guikai Sun and Zhenxiang Xing
In order to solve the problem that the existing optimal operation model of reservoirs cannot coordinate the contradiction between long-term and short-term benefits, the paper nested the long-term optimal operation and mid-long-term optimal operations of ...
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Nasim Ahmed, Andre L. C. Barczak, Mohammad A. Rashid and Teo Susnjak
Big data frameworks play a vital role in storing, processing, and analysing large datasets. Apache Spark has been established as one of the most popular big data engines for its efficiency and reliability. However, one of the significant problems of the ...
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Juan Fang, Yong Chen and Shuaibing Lu
Edge computing is an emerging paradigm that settles some servers on the near-user side and allows some real-time requests from users to be directly returned to the user after being processed by these servers settled on the near-user side. In this paper, ...
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Nazia Anwar and Huifang Deng
Scientific workflow applications are collections of several structured activities and fine-grained computational tasks. Scientific workflow scheduling in cloud computing is a challenging research topic due to its distinctive features. In cloud environmen...
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Nazia Anwar and Huifang Deng
Scientific workflow applications are collections of several structured activities and fine-grained computational tasks. Scientific workflow scheduling in cloud computing is a challenging research topic due to its distinctive features. In cloud environmen...
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