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Lei Yang, Mengxue Xu and Yunan He
Convolutional Neural Networks (CNNs) have become essential in deep learning applications, especially in computer vision, yet their complex internal mechanisms pose significant challenges to interpretability, crucial for ethical applications. Addressing t...
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Despoina Nteli, Maria Nteli, Konstantinos Konstantinidis, Anastasia Foka, Foteini Charisi, Iliana Michailidou, Sotiria Stavropoulou De Lorenzo, Marina Boziki, Maria Tzitiridou-Chatzopoulou, Evangelia Spandou, Constantina Simeonidou, Christos Bakirtzis and Evangelia Kesidou
Argininemia or arginase-1 deficiency constitutes a rare, genetic, metabolic disorder caused by mutations in arginase 1?the last enzyme of the urea cycle?that hydrolyses L-arginine to ornithine and urea. The disease is associated with progressive developm...
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Sharoug Alzaidy and Hamad Binsalleeh
In the field of behavioral detection, deep learning has been extensively utilized. For example, deep learning models have been utilized to detect and classify malware. Deep learning, however, has vulnerabilities that can be exploited with crafted inputs,...
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Xing-Zhou Li, Zhong-Ren Peng, Qingyan Fu, Qian Wang, Jun Pan and Hongdi He
Air pollution is a growing concern in metropolitan areas worldwide, and Shanghai, as one of the world?s busiest ports, faces significant challenges in local air pollution control. Assessing the contribution of a specific port to air pollution is essentia...
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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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