Republican lawmakers decry Intel's testing of Chinese-linked tools after Reuters report Republican lawmakers accused Intel this week of threatening U.S. national security after Reuters revealed the ...
Data Descriptors, Scientific Data's primary article type, describe datasets. These must be made available to editors and referees at the time of submission and be shared with the scientific community ...
This guide was reviewed by a Business News Daily editor to ensure it provides comprehensive and accurate information to aid your buying decision. Modern businesses run on data. Companies regularly ...
Data is a critical component of SEO content strategy. Basing your writing on reliable data shows a commitment to accuracy, building your authority and credibility in readers’ eyes. This approach to ...
Over the past decade, international chefs have swept French culinary competitions with unprecedented frequency. Massimo Bottura is one of the world's best chefs and his recent food projects bring ...
Data mining is the process of extracting potentially useful information from data sets. It uses a suite of methods to organise, examine and combine large data sets, including machine learning, ...
Abstract: Residential energy consumption is rapidly increasing every year due to demographic and behavioral changes, such as the rising population and the adoption of work-from-home post-COVID-19.
Can you chip in? As an independent nonprofit, the Internet Archive is fighting for universal access to quality information. We build and maintain all our own systems, but we don’t charge for access, ...
TSB-UAD is a new open, end-to-end benchmark suite to ease the evaluation of univariate time-series anomaly detection methods. Overall, TSB-UAD contains 12686 time series with labeled anomalies ...
The pipeline comprises four independent data processing modules, as illustrated as follows. First, we perform data preprocessing (not included in this repository), in which peak picking, peak ...
Abstract: This manuscript aims to study and compare the Long Short-Term Memory (LSTM) Deep learning to Auto regressive Integrated Moving Average (ARIMA) algorithms for a univariate time series, ...
The 17th ACM International Conference on Web Search and Data Mining (WSDM '24) | March 2024 ...
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