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Introduction Never before in human history has a small minority wielded this degree of control over the lives of the majority ...

Abstract: Clustering algorithms have emerged as an alternative powerful meta-learning tool to accurately analyze the massive volume of data generated by modern applications. In particular, their main ...

Taken together, these developments show why the work of diaspora creators like Fasika deserves close attention. By following ...

Introduction Efficient preventive management of acute exacerbation of chronic obstructive pulmonary disease (COPD) is ...

Abstract: Online non-intrusive load monitoring algorithms have captivated academia and industries as parsimonious solutions for household energy efficiency monitoring as well as a safety control, ...

Main difference between Edge AI and traditional cloud-based AI is how ML models are processed and deployed in both models ...

Read together, the books form an intergenerational dialogue that moves from diagnosing a historical rupture to examining the ...

Even before mobile phones started taking photos everywhere, digital images suffered from a very simple problem. They looked ...

Objective SLE is a heterogeneous systemic autoimmune disease with diverse clinical manifestations. We aimed to identify ...

Aim To implement a deep learning-based segmentation algorithm to quantify reticular pseudodrusen (RPD) and drusen volumes on optical coherence tomography (OCT) and investigate their association with ...