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Wandile Nhlapho, Marcellin Atemkeng, Yusuf Brima and Jean-Claude Ndogmo
The advent of deep learning (DL) has revolutionized medical imaging, offering unprecedented avenues for accurate disease classification and diagnosis. DL models have shown remarkable promise for classifying brain tumors from Magnetic Resonance Imaging (M...
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Amira Aschi, Wassila Riah-Anglet, Sylvie Recous, Caroline Bailleul, Michaël Aubert and Isabelle Trinsoutrot-Gattin
This study evaluated the response of soil microbial functions to the presence and placement of faba beans in crop rotations (rotation without legumes versus rotations with faba beans as the crop previous to wheat, with the faba beans sown three years bef...
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Yanfeng Zhao, Shuaifeng Hao, Feng Tong, Yuehai Zhou and Dongsheng Chen
Due to the simultaneous existence of severe difficulties caused by multi-path, Doppler, and environmental noise caused by underwater acoustic channels, designing a stable and reliable underwater acoustic communication system (UWACS) is a challenging task...
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Bianca Tesca?iu, Brenda-Andreea Piuaru, Monica Claudia Grigoroiu, Ioana ?urca?
Pág. 63 - 75
Assessing the graduate?s employability and the professional path became a very important tool for every university that is preoccupated with the professional insertion of its graduates into the labor market. In these circumstances, universities try to fi...
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Zengwei Xu and Shanshan Miao
Public spaces enhance social interactions and contacts, yet few scholars have linked public spaces to the governance of commons for rural waste management. We thus explore the direct and mediated effects of public spaces on collective action for rural wa...
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Diego Di Curzio, Alessia Di Giovanni, Raffaele Lidori, Mario Montopoli and Sergio Rusi
Accurate knowledge of the rain amount is a crucial driver in several hydrometeorological applications. This is especially true in complex orography territories, which are typically impervious, thus, leaving most mountain areas ungauged. Due to their spat...
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Emir Po?kovic, Fausto Franchini, Luca Ferraris, Federico Carosio and Marco Actis Grande
In electrical machines, laminated steels are commonly adopted as soft magnetic materials, while for permanent magnets, sintered ferrites and NdFeB are the most common solutions. On the other hand, the growing demand for volume reduction with the incremen...
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Chiao-Ling Kuo and Ming-Hua Tsai
The importance of road characteristics has been highlighted, as road characteristics are fundamental structures established to support many transportation-relevant services. However, there is still huge room for improvement in terms of types and performa...
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Hao Fang, Shiwei Xin, Yanlin Zhang, Zhong Wang and Jing Zhu
The aim of this study was to investigate whether different expressions of landmarks and paths have different influences on the navigational efficiency and the cognitive load of indoor maps. The study tested 80 subjects by indoor path discovery experiment...
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Tam Thi Trinh, Charitha Pattiaratchi and Toan Bui
Vietnam, located in the tropical region of the northwest Pacific Ocean, is frequently impacted by tropical storms. Occurrence of extreme water level events associated with tropical storms are often unpredicted and put coastal infrastructure and safety of...
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