Many scientific problems entail labeling data items with one of a given, finite set of classes based on features of the data items. For example, oncologists classify tumors as different known cancer ...
Machine learning models narrow down solutions in synthesis, compounding, product design, and more.
Chinese scientists have developed a machine learning-based typhoon rapid intensification forecasting model which has been ...
Many of the insights hitting soccer pitches today trace back to Jesse Davis and a team of computer scientists open-sourcing tools for some of the sport’s trickiest problems.
Earlier this year when a UK Treasury Committee released a report warning that regulators’ complacency on AI in financial ...
Post-quantum cryptography migration just got its first enforceable federal deadline. EO 14409 requires U.S. agencies to ...
Abstract: Decision tree (DT), an efficient and interpretable machine learning algorithm, has been widely used in numerous industrial applications. As the demand for higher performance grows, there is ...
Abstract: The generation volatility of photovoltaics (PVs) has created several control and operation challenges for grid operators. For a secure and reliable day or hour-ahead electricity dispatch, ...
BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
This repository presents our Final Year Project (FYP), which focuses on developing an intelligent aquaculture monitoring and fish survival prediction system using Internet of Things (IoT), Edge ...
In the modern age where most assets and valuable information are digitalized, phishing scams are an important way criminals steal money, much higher than “normal” physical robbery & extortion, with up ...
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