Understanding how molecules interact is central to biology: from decoding how living organisms function to uncovering disease ...

Abstract: This paper presents a real-time machine learning control (MLC) of articulated robotic manipulators using artificial bee colony optimization (ABC) algorithm incorporated with fuzzy theory.

Understanding how cities grow is vital for shaping sustainable urban futures—but mapping the true extent of urban expansion ...

Abstract: Nowadays, online learning environments have become very popular for teaching algorithms. To improve the learning process these environments often include various visualizations of the ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...

Landslide susceptibility assessment is an important support for disaster identification and risk management. This study aims to analyze the application ability of machine learning hybrid models in ...

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 ...

Many CSO communities deploy a complex network of sensors connected to their supervisory control and data acquisition (SCADA ... sewer community can leverage the following from machine learning: ...

Mass General Brigham researchers developed a machine learning model that can evaluate ... at the time of delivery, including data on demographics, medical conditions, and visit history.

From providing internet access in remote regions to enabling near-instant data delivery across ... working on extending their algorithms to support collaborative multi-satellite computing and ...