Diabetes is the serious and widespread disease worldwide. Common ingredients in modern diets, like sugar and fat, increase the risk of diabetes. Recognizing the symptoms is essential to predict and ...

Methane (CH4) pyrolysis, a reaction that produces hydrogen without emitting carbon dioxide, often utilizes molten media ...

A research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has proposed a novel model optimization algorithm—External Calibration-Assisted Screening (ECA)— that ...

The paper presents the use of the collaborative learning approach when teaching the topic “Design of Differentiators and Integrators in MATLAB” in the Course “Digital Signal Processing” during the ...

So now, suddenly, when faced with terms like “hyperparameter tuning” and “unsupervised learning,” a 50-year-old brain initiates its own version of a denial-of-service attack in these courses.

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 ...

This toolbox offers more than 40 wrapper feature selection methods include PSO, GA, DE, ACO, GSA, and etc. They are simple and easy to implement. machine-learning data-mining genetic-algorithm feature ...

Extracellular polymeric substances (EPS)-related biofouling in anaerobic electrochemical membrane bioreactors (AnEMBR) is commonly mitigated, yet the underlying mechanisms require further elucidation.

xii, 376 pages : 24 cm Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research ...