By engaging consciously with technology, students learn to use AI critically and creatively — without surrendering their ...

Ask the publishers to restore access to 500,000+ books. The Internet Archive keeps the record straight by preserving government websites, news publications, historical documents, and more. If you find ...

Miller's Law states, "To understand what another person is saying, you must first assume what the person said is true and ...

A new study reveals how humans use flexible problem-solving strategies like hierarchical and counterfactual reasoning when ...

Abstract: Local Outlier Factor (LOF) algorithm is a typical machine learning algorithm and has good accuracy in novelty detection for detecting global and local outlier. However, the LOF algorithm ...

The predictive model also incorporates an improved fruit fly optimization algorithm (IFOA) in conjunction with support vector machine (SVM) techniques. The actual instances of lost circulation serve ...

To address this challenge, researchers developed SAVANA, a new algorithm, which they recently described in the journal Nature Methods. SAVANA uses machine learning to accurately identify ...

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field ...

Abstract: Learning differential evolution (DE) algorithms are widely adopted to address flexible job-shop scheduling problems (FJSPs) because of the optimization ability. However, traditional learning ...

Here a machine learning algorithm will be trained to predict a liver disease in patients using a data-set collected from North East of Andhra Pradesh, India. Using machine learning models to predict ...

In order to ensure the prediction accuracy of mechanical properties, a TCMSSA-ELM model, which is a hybrid of the sparrow search algorithm (SSA) optimized by the tent chaotic mapping (TCM) algorithm ...