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Amir Masoud Abdol, Damjan Cicin-Sain, Jaap A. Kaandorp and Anton Crombach
Efficient network inference is one of the challenges of current-day biology. Its application to the study of development has seen noteworthy success, yet a multicellular context, tissue growth, and cellular rearrangements impose additional computational ...
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Alexandru-Liviu Olteanu, Marc Sevaux and Mohsen Ziaee
In this paper, an unrelated parallel machine scheduling problem with job (product) and machine acceptance and renewable resource constraints was considered. The main idea of this research was to establish a production facility without (or with minimum) i...
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Matheus H. M. Pericini, Lucas G. M. Leite, Francisco H. De Carvalho-Junior, Javam C. Machado and Cenez A. Rezende
MapReduce is a parallel computing model in which a large dataset is split into smaller parts and executed on multiple machines. Due to its simplicity, MapReduce has been widely used in various applications domains. MapReduce can significantly reduce the ...
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Matheus H. M. Pericini, Lucas G. M. Leite, Francisco H. De Carvalho-Junior, Javam C. Machado and Cenez A. Rezende
MapReduce is a parallel computing model in which a large dataset is split into smaller parts and executed on multiple machines. Due to its simplicity, MapReduce has been widely used in various applications domains. MapReduce can significantly reduce the ...
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Marvin Kastner, Nicole Nellen, Anne Schwientek and Carlos Jahn
At container terminals, many cargo handling processes are interconnected and occur in parallel. Within short time windows, many operational decisions need to be made and should consider both time efficiency and equipment utilization. During operation, ma...
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