Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...

Abstract: Energy sampling-based interference detection and identification (IDI) methods collide with the limitations of commercial off-the-shelf (COTS) IoT hardware. Moreover, long sensing times, ...

Comptroller of the Currency Jonathan Gould, an FDIC board member, supported the agency’s proposed budget but expects further room to trim it. He also hinted at budget cuts to come at the OCC. Brain ...

1 School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China 2 College of Information Science and Technology, Nanjing Forestry University, Nanjing, China ...

Objective: This study aims to develop an explainable machine learning model, incorporating stacking techniques, to predict the occurrence of liver injury in patients with sepsis and provide decision ...

Department of Pharmacology and Toxicology, R. Ken Coit College of Pharmacy, University of Arizona, Tucson, Arizona 85721, United States Clinical and Translational Oncology Program and Skin Cancer ...

Labeling images is a costly and slow process in many computer vision projects. It often introduces bias and reduces the ability to scale large datasets. Therefore, researchers have been looking for ...

Introduction: Accurate mapping of the spatial distribution of diverse cell types is essential for understanding the cellular organization of brain. However, the cellular heterogeneity and the ...