Abstract: This work proposes an innovative algorithmic framework for rapidly reducing antenna size through constrained global optimization. The three main stages of the search process are the size-and ...
Abstract: Normal mixture models are widely used to represent data arising from latent subpopulations. We propose a Design-of-Experiments (DOE) and Response Surface Methodology (RSM) framework to ...
Artificial intelligence and infectious disease diagnostics: state of the art and future perspectives
Artificial intelligence (AI) is reshaping infectious disease diagnostics by supporting clinical decision making, optimising laboratory and clinical workflows, and enabling real-time disease ...
fDepartment of Radiation Oncology, Duke University Medical Center, Durham, NC, USA gDepartment of Radiation Oncology, University of Michigan Hospital, Ann Arbor, MI, USA hInstitute of Neuroscience and ...
Despite the widespread success of neural networks, their susceptibility to adversarial examples remains a significant challenge. Adversarial training (AT) has emerged as an effective approach to ...
1 Department of Mathematics, University of Patras, Patras, Greece. 2 Department of Business Administration, University of Patras, Patras, Greece. This paper presents a new dimension reduction strategy ...
Artificial tears are the mainstay of dry eye disease management, but also have a role in corneal abrasion and wound healing, pain and inflammation management, conjunctivitis, keratitis, contact lens ...
Low stiffness, large stroke, and axial force capabilities make Extensile Fluidic Artificial Muscles (EFAMs) a feasible soft actuator for continuum soft robots. EFAMs can be used to construct soft ...
Department of Life Science, Graduate School of Arts and Science, The University of Tokyo, 3-8-1 Komaba, Meguro-ku, Tokyo 153-8902, Japan Komaba Institute for Science, The University of Tokyo, 3-8-1 ...
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