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João P. Ferreira, Vinicius C. Ferreira, Sérgio L. Nogueira, João M. Faria and José A. Afonso
The sharing of mobile network infrastructure has become a key topic with the introduction of 5G due to the high costs of deploying such infrastructures, with neutral host models coupled with features such as network function virtualization (NFV) and netw...
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David Naseh, Mahdi Abdollahpour and Daniele Tarchi
This paper explores the practical implementation and performance analysis of distributed learning (DL) frameworks on various client platforms, responding to the dynamic landscape of 6G technology and the pressing need for a fully connected distributed in...
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Kanghee Park and Boyoung Kim
Within a construction project, the clients are categorized as private individuals, private companies, public institutions, etc. In this research, the private client is identified as a non-professional individual building owner and is involved in making d...
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Ying-Hsun Lai, Shin-Yeh Chen, Wen-Chi Chou, Hua-Yang Hsu and Han-Chieh Chao
Federated learning trains a neural network model using the client?s data to maintain the benefits of centralized model training while maintaining their privacy. However, if the client data are not independently and identically distributed (non-IID) becau...
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WoonSeong Jeong, ByungChan Kong and Sang-Guk Yum
The demand for compact housing is on the rise, driven by the need for floor plans that accommodate stakeholders? preferences. However, clients frequently struggle to convey their spatial needs to professionals, such as architects, due to a lack of means ...
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Mikael Sabuhi, Petr Musilek and Cor-Paul Bezemer
As the number of machine learning applications increases, growing concerns about data privacy expose the limitations of traditional cloud-based machine learning methods that rely on centralized data collection and processing. Federated learning emerges a...
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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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Shulin Shi
Urban built environment professions are facing challenges due to the less predictable future of cities, as well as the increasing expectations from clients and the general public. It is crucial to support and inform these professions with sound evidence ...
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Olusayo Ayobami Bamgbose, Babatunde Fatai Ogunbayo and Clinton Ohis Aigbavboa
The widespread adoption of building information modelling in the construction industry faces significant obstacles, particularly among small and medium-sized construction enterprises. This research accessed barriers to building information modelling adop...
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Virgilijus Sakalauskas and Dalia Kriksciuniene
The growing popularity of e-commerce has prompted researchers to take a greater interest in deeper understanding online shopping behavior, consumer interest patterns, and the effectiveness of advertising campaigns. This paper presents a fresh approach fo...
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