Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Abstract: Limited driving range is one of the major obstacles to the widespread application of electric vehicles (EVs). Accurately predicting the remaining driving range can effectively reduce the ...

Abstract: Algal blooms are a major environmental challenge for lakes and reservoirs and pose severe threats to water on both aquatic and human health. Conventional algorithms used for algal bloom ...

Scientists have demonstrated a powerful new way to search for one of physics' biggest prizes: practical superconductors.

Chiral 2D metal halide perovskites (MHPs) are among the most promising materials for future technologies that exploit the ...

Heat pumps give home values a boost, according to a new report by the nonprofit Smart Energy Consumer Collaborative, which ...

Background Gender influences cardiovascular disease (CVD) through norms, social relations, roles and behaviours. This study identified gender-specific aspects of socialisation associated with CVD.

Objective: This study aimed to develop and validate an interpretable machine learning model specifically for multiclass hepatic steatosis severity prediction in nonobese individuals to support early ...

Retailers are implementing AI through software companies like Happy Returns and Narvar to detect return fraud and issue ...

The human brain actively keeps "learning" in balance by holding on to what matters and letting go of what does not.

Solar power towers can play an important role in the energy transition. They convert sunlight into heat that can be stored or used to generate electricity. Until now, however, data to test new methods ...

A systematic review newly published in the Journal of Pipeline Science and Engineering maps machine learning (ML) advances for pipelines across the full lifecycle: reliability-based design, structural ...