An analysis of projects and local opposition highlights the growing tensions surrounding AI infrastructure in rural ...

Introduction Antimicrobial stewardship efforts in low- and middle-income countries (LMICs) largely focus on qualified ...

Washington, D.C.’s metropolitan area has long hummed with data centers. The region, which encompasses much of Northern Virginia, has become known as Data ...

Synthetic data is a vital substitute for real sensitive personal data in supporting social science research and policy ...

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

China issued guidelines on classifying and grading financial information service data, providing a framework to implement existing data security laws.

The International Classification of Crime for Statistical Purposes (ICCS) provides a comprehensive framework for producing statistics on crime and criminal justice. Its primary unit of classification ...

Abstract: Imbalanced data classification is a hot topic in neural network learning. Current neural network methods rely on reweighting and resampling technology to solve the imbalanced data problem.

Correspondence to Dr Daniela Sia, Division of Liver Diseases, Department of Medicine, Tisch Cancer Institute, Liver Cancer Program, Icahn School of Medicine at Mount Sinai, New York, New York, USA; ...

Methods: SleepInceptionNet is based on our systematic evaluation of the effects of different EEG preprocessing methods, EEG channels, and convolutional neural networks on automatic sleep staging ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Find information that can help you understand and use our data. This includes information on how we organize and code the data we collect (standards and classifications), the methods we use to produce ...