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António Pedro Branco, Cátia Vaz and Alexandre P. Francisco
There are several tools available to infer phylogenetic trees, which depict the evolutionary relationships among biological entities such as viral and bacterial strains in infectious outbreaks or cancerous cells in tumor progression trees. These tools re...
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Chenglin Yang, Dongliang Xu and Xiao Ma
Due to the increasing severity of network security issues, training corresponding detection models requires large datasets. In this work, we propose a novel method based on generative adversarial networks to synthesize network data traffic. We introduced...
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Carlos Munoz, Kirsten Schröder, Bernhard Henes, Jane Hubert, Sébastien Leblond, Stéphane Poigny, Ralf Reski and Franziska Wandrey
The moss Physcomitrium patens (P. patens), formerly known as Physcomitrella patens, has ascended to prominence as a pivotal model organism in plant biology. Its simplicity in structure and life cycle, coupled with genetic amenability, has rendered it ind...
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Jun Wang, Zhenhua Liu, Jia Hou and Mengmeng Ge
As an emerging method in engineering construction, concrete 3D printing has experienced rapid development in recent years due to its advantages in terms of automation, digitization, and intelligence. In order to comprehensively understand the research pr...
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Adey Tarawneh, Aisyah Abdul-Rahman, Syajarul Imna Mohd Amin and Mohd Fahmi Ghazali
Financial technology (Fintech), characterized as technology-driven financial innovation, has catalyzed significant economic growth across various nations. The Fintech sector has experienced remarkable expansion, boasting vast user numbers. While regions ...
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Meng Ma, Zhirong Zhong, Zhi Zhai and Ruobin Sun
There are hundreds of various sensors used for online Prognosis and Health Management (PHM) of LREs. Inspired by the fact that a limited number of key sensors are selected for inflight control purposes in LRE, it is practical to optimal placement of redu...
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Linghui Hu, Na Yao, Chengxin Wang, Liting Yang, Gulden Serekbol, Bin Huo, Xuelian Qiu, Fangze Zi, Yong Song and Shengao Chen
To study the morphological differences between and the evolutionary mechanisms driving the differentiation of geographically distinct populations of Gymnodiptychus dybowskii, 158 fish were collected from the Turks River and the Manas River in Xinjiang fr...
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Jayashree Piri, Puspanjali Mohapatra, Raghunath Dey, Biswaranjan Acharya, Vassilis C. Gerogiannis and Andreas Kanavos
The efficiency and the effectiveness of a machine learning (ML) model are greatly influenced by feature selection (FS), a crucial preprocessing step in machine learning that seeks out the ideal set of characteristics with the maximum accuracy possible. D...
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Xiaoyu Han, Chenyu Li, Zifan Wang and Guohua Liu
Neural architecture search (NAS) has shown great potential in discovering powerful and flexible network models, becoming an important branch of automatic machine learning (AutoML). Although search methods based on reinforcement learning and evolutionary ...
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Libero Nigro and Franco Cicirelli
K-Means is a ?de facto? standard clustering algorithm due to its simplicity and efficiency. K-Means, though, strongly depends on the initialization of the centroids (seeding method) and often gets stuck in a local sub-optimal solution. K-Means, in fact, ...
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