Machine learning can sound pretty complicated, right? Like something only super-smart tech people get. But honestly, it’s ...
A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types ...
The seismic crisis that gripped the Greek island of Santorini and its neighbors in 2025 contained more than 60,000 ...
A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale. By integrating daily ...
A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale.
Six-month, CTEL-led programme blends machine learning, deep learning and generative AI with hands-on projects and a three-day ...
Methane is the second most important anthropogenic greenhouse gas after carbon dioxide, with a global warming potential roughly 28–34 times greater over a 100-year timescale. Major sources include ...
ABSTRACT: This paper proposes a hybrid machine learning framework for early diabetes prediction tailored to Sierra Leone, where locally representative datasets are scarce. The framework integrates ...
Abstract: Accurate, quick forecasting of petroleum production data in short-term scenarios is a complex challenge that requires the development of reliable predictive models. Traditionally, engineers ...
Abstract: Wearable sensors enable accurate estimation of joint moments through easy-to-use myography-based methods, such as force myography (FMG), offering practical benefits and valuable insights ...
The prediction of concrete compressive strength (CS, MPa) is fundamental in experimental civil engineering, as it enables the optimization of mix design and complements laboratory testing through ...
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