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Aristeidis Karras, Christos Karras, Konstantinos C. Giotopoulos, Dimitrios Tsolis, Konstantinos Oikonomou and Spyros Sioutas
Federated learning (FL) has emerged as a promising technique for preserving user privacy and ensuring data security in distributed machine learning contexts, particularly in edge intelligence and edge caching applications. Recognizing the prevalent chall...
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Lili Yang, Changlong Wang, Jianfeng Yu, Nan Xu and Dongwei Wang
Peanuts are prone to insect damage, breakage, germination, mildew, and other defects, which makes the quality of peanuts uneven. The difference in peanut pod quality makes the price and economic benefit also have a big difference. The classification of p...
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Martin Barton, Roman Budjac, Pavol Tanuska, Gabriel Gaspar and Peter Schreiber
Nowadays there is a growing demand for small- and medium-sized enterprises (SMEs) to improve their level of digitalisation. This situation becomes even more critical in cases when SMEs act in the role of a subcontractor of large enterprises who demand th...
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Bo Xu, Yi Hu, Menglan Hu, Feng Liu, Kai Peng and Lan Liu
Recent years have witnessed a paradigm shift from centralized cloud computing to decentralized edge computing. As a key enabler technique in edge computing, computation offloading migrates computation-intensive tasks from resource-limited devices to near...
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Yanxin Hu, Gang Liu, Zhiyu Chen and Jianwei Guo
In practical applications, the intelligence of wheeled mobile robots is the trend of future development. Object detection for wheeled mobile robots requires not only the recognition of complex surroundings, but also the deployment of algorithms on resour...
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Karnpimon Krorakai, Supannika Klangphukhiew, Sirinan Kulchat and Rina Patramanon
Most electrochemical sensing requires affordable, portable and easy-to-use electrochemical devices for use in point-of-care testing and resource-limited settings. This work presents the design and evaluates the analytical performance of a near-field comm...
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