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Changhao Wu, Siyang He, Zengshan Yin and Chongbin Guo
Large-scale low Earth orbit (LEO) remote satellite constellations have become a brand new, massive source of space data. Federated learning (FL) is considered a promising distributed machine learning technology that can communicate optimally using these ...
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Longde Wang, Hui Cao, Zhichao Cui and Zeren Ai
Marine engines confront challenges of varying working conditions and intricate failures. Existing studies have primarily concentrated on fault diagnosis in a single condition, overlooking the adaptability of these methods in diverse working condition. To...
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Gregory Macfarlane, Carole Turley Voulgaris, Teresa Tapia
Pág. 587 - 612
During the spring and summer of 2020, cities across the world responded to the global COVID-19 pandemic by converting roadway facilities into open pedestrian spaces. These conversions improved access to public open space, but measuring the variation in t...
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Abdul Hakim Ali Bin Abdul Aziz,Wan Zhafirah Binti Wan Zainudin,Radzuwan Ab Rashid
Pág. pp. 258 - 264
This paper narrates the use of multi-platforms? online affinity space called Teacherfiera.com to support ESL teachers? professional development. Teacherfiera.com utilizes three online platforms which are BlogSpot, Facebook Group and Telegram Group that w...
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Marco Zobec, Oliver Betz and Philipp Andreas Unterweger
The extensification (opposite of intensification) of urban public green spaces offers great potential for conservation. One major issue for the long-term success of such a measure is, however, its acceptance by the urban population. This contribution pre...
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Sebastien Mambou, Ondrej Krejcar, Kamil Kuca and Ali Selamat
One of the most important research topics nowadays is human action recognition, which is of significant interest to the computer vision and machine learning communities. Some of the factors that hamper it include changes in postures and shapes and the me...
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Aris Lanaridis, Giorgos Siolas and Andreas Stafylopatis
Pattern classification is a central problem in machine learning, with a wide array of applications, and rule-based classifiers are one of the most prominent approaches. Among these classifiers, Incremental Rule Learning algorithms combine the advantages ...
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