Abstract: In industrial applications, fault diagnosis can effectively enable early warning. However, in practical production scenarios, fault data is difficult to obtain, and traditional fault ...

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The vast data centers that power artificial intelligence guzzle huge amounts of energy but they also have another alarming impact, according to new research. They are creating “heat islands,” warming ...

In the spring of 2020, the Federal Reserve faced a challenge: The COVID-19 pandemic was upending daily life with shutdowns, social distancing, and heightened uncertainty, but the traditional economic ...

This call for proposals (CFP) invites eligible nonprofit organizations in the U.S. to apply for a grant to collect, analyze, and use data to address inequities in the physical, economic, and social ...

Therefore, this tutorial describes the use of traditional qualitative methods to analyze a large corpus of qualitative text data. We use examples from a nationwide SMS text messaging poll of youth to ...

Abstract: Data augmentation is a series of techniques that generate high-quality artificial data by manipulating existing data samples. By leveraging data augmentation techniques, AI models can ...

Time series classification is widely used in many fields, but it often suffers from a lack of labeled data. To address this, researchers commonly apply data augmentation techniques that generate ...

title Build Event-Driven Pipelines with OneLake events and Azure Blob Storage events description Build real-time, event-driven pipelines in Microsoft Fabric using Azure and Fabric events to process ...

When the Coalition of Communities of Color (CCC) began a multi-year collaboration with the Oregon Health Authority (OHA), they worked together to modernize a critical public health information source: ...