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Maolin Tang and Wei Li
Wireless communication tower placement arises in many real-world applications. This paper investigates a new emerging wireless communication tower placement problem, namely, continuous space wireless communication tower placement. Unlike existing wireles...
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Marbrisa N. R. das Virgens, Patricia L. Brito, Ricardo Lustosa, Julio Pedrassoli, Philipp Ulbrich, João Porto de Albuquerque, Marcos Rodrigo Ferreira, Fernando G. Severo, Alessandra da S. Figueiredo, Marcel Fantin, Hussein Khalil and Federico Costa
Cartographic resources play a crucial role in facilitating communication across various sectors, including research projects focused on low-income communities. Despite this, some researchers still adhere to colonialist and exploitative approaches. This s...
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Yupu Huang, Li Zhuo and Jingjing Cao
Accurately measuring industrial spatial agglomeration patterns is crucial for promoting regional economic development. However, few studies have considered both agglomeration degrees and cluster locations of industries. Moreover, the traditional multi-sc...
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Chenxi Zhang, Zhongfa Zhou, Changli Zhu, Quan Chen, Qing Feng, Meng Zhu, Fang Tang, Xiaopiao Wu, Yan Zou, Fuxianmei Zhang, Jiajia Zheng and Ting Yu
Exploring the evolution of livelihood patterns of farm households relocated for poverty alleviation in three prefectures of Guizhou Province, China, can provide a theoretical basis and practical value for achieving sustainable livelihoods of relocated fa...
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Salma Tabi and Yasushi Ikeda
Previous research has established the relevance of digital tools in participatory processes of urban planning and design. Nevertheless, the debate about the role that these information and communication technologies (ICTs) play within the participatory p...
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Yankai Lv, Haiyan Ding, Hao Wu, Yiji Zhao and Lei Zhang
Federated learning (FL) is an emerging decentralized machine learning framework enabling private global model training by collaboratively leveraging local client data without transferring it centrally. Unlike traditional distributed optimization, FL trai...
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Wenbo Zhang, Yuchen Zhao, Fangjing Li and Hongbo Zhu
Federated learning is currently a popular distributed machine learning solution that often experiences cumbersome communication processes and challenging model convergence in practical edge deployments due to the training nature of its model information ...
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Weilin Yang, Tianjing Shen, Tinglong Pan, Guanyang Hu and Dezhi Xu
In this paper, the consensus control of unmanned surface vehicles (USVs) is investigated by employing a distributed model predictive control approach. A hierarchical control structure is considered during the controller design, where the upper layer dete...
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Ni Nyoman Sunariani, Universitas Pendidikan Nasional, Indonesia I Made Suidarma, Universitas Pendidikan Nasional, Indonesia 10.21831/economia.v19i1.36230
Pág. 38 - 54
This study aims to analyze the health service management of provincial hospitals (RSUDs) in Bali from the perspective of local wisdom, especially Tri Kaya Parisuda values and the integration of Tri Kaya Parisuda values with human capital theory (HCT). St...
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You Zhou, Shaowu Zhou, Mao Wang and Anhua Chen
A multitarget search algorithm for swarm robot in an unknown 3D mountain environment is proposed. Most existing 3D environment obstacle avoidance algorithms are potential field methods, which need to consider the location information of all obstacles aro...
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