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Xue Yang, Jingkai Zhi, Wenjun Zhang, Sheng Xu and Xiangkun Meng
Arctic navigation faces numerous challenges, including uncertain ice conditions, rapid weather changes, limited communication capabilities, and lack of search and rescue infrastructure, all of which increase the risks involved. According to an Arctic Cou...
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Efthymia Moraitou, Markos Konstantakis, Angeliki Chrysanthi, Yannis Christodoulou, George Pavlidis, George Alexandridis, Konstantinos Kotsopoulos, Nikolaos Papastamatiou, Alkistis Papadimitriou and George Caridakis
Open laboratories (OpenLabs) in Cultural Heritage institutions are an effective way to provide visibility into the behind-the-scenes processes and promote documentation data collected and produced by domain specialists. However, presenting these processe...
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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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Elias Ntawuzumunsi, Santhi Kumaran, Louis Sibomana and Kambombo Mtonga
Bees, like other insects, indirectly contribute to job creation, food security, and poverty reduction. However, across many parts of the world, bee populations are in decline, affecting crop yields due to reduced pollination and ultimately impacting huma...
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Huiyuan Wang, Xiaojun Wu, Zirui Wang, Yukun Hao, Chengpeng Hao, Xinyi He and Qiao Hu
Dolphin signals are effective carriers for underwater covert detection and communication. However, the environmental and cost constraints terribly limit the amount of data available in dolphin signal datasets are often limited. Meanwhile, due to the low ...
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