Abstract: The article considers the task of implementing a unified control law for the serial production of a line of power supplies based on an LLC converter. The aim of the study is to create a ...

Abstract: Solving total variation problems is fundamentally important for many computer vision tasks, such as image smoothing, optical flow estimation and 3D surface reconstruction. However, the ...

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Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Humanoid robots are also at the stage where software choices become just as important as hardware does. On factory floors, the distinction between a novel demonstration and an implementation machine ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

The Maternal Care Bundle (MCB) sets best practice standards across 5 areas of clinical care, for implementation by NHS providers and commissioners across England. The aim is to reduce maternal ...

Introduction Students enrolling in higher education often adopt lifestyles linked to worse mental health, potentially contributing to the peak age onset of mental health problems in early adulthood.

In 2017, 'fake news' was chosen as the new word of the year by the Language Council of Norway. But what are the linguistic ...

Collagen is the most abundant protein in the human body and has an important role in healthy tissue as well as in a range of prevalent diseases. Medical research and diagnostics hence call for means ...

Equilibrium problems and variational inequalities form a crucial mathematical framework for modelling systems where multiple agents or factors interact under specific constraints. An equilibrium ...