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Vladimir Modrak, Zuzana Soltysova and Julia Nazarejova
As mass customization becomes more pervasive in many sectors, researchers need to update traditional approaches to the optimization of critical performance and design parameters in order to help companies in their effort to implement this strategy. In ge...
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Rocco A. Scollo, Antonio G. Spampinato, Georgia Fargetta, Vincenzo Cutello and Mario Pavone
Disease phenotypes are generally caused by the failure of gene modules which often have similar biological roles. Through the study of biological networks, it is possible to identify the intrinsic structure of molecular interactions in order to identify ...
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Xianguan Chen, Huiqing Bai, Qingyu Xue, Jin Zhao, Chuang Zhao and Liping Feng
This project aims to improve the wheat growth and development simulation model (WheatSM) V4.0, a renowned wheat model, by addressing limitations in its structure and modules. The WheatSM V4.0 excelled numerically but lacked modularity, hindering maintena...
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Mohammad H. Nadimi-Shahraki, Ebrahim Moeini, Shokooh Taghian and Seyedali Mirjalili
In this paper, a discrete moth?flame optimization algorithm for community detection (DMFO-CD) is proposed. The representation of solution vectors, initialization, and movement strategy of the continuous moth?flame optimization are purposely adapted in DM...
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Yuanyuan Meng and Xiyu Liu
Community detection is a significant research field of social networks, and modularity is a common method to measure the division of communities in social networks. Many classical algorithms obtain community partition by improving the modularity of the w...
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Vincenzo Cutello, Georgia Fargetta, Mario Pavone and Rocco A. Scollo
Community detection is one of the most challenging and interesting problems in many research areas. Being able to detect highly linked communities in a network can lead to many benefits, such as understanding relationships between entities or interaction...
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