Analysis of the 191 samples shows that 55 percent of groundwater falls within low to no restriction categories for irrigation ...

Explore how AI in high-throughput screening improves drug discovery through advanced data analysis, hit identification and ...

Researchers have developed an energy-saving control strategy for intelligent connected plug-in hybrid electric vehicles that ...

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

Abstract: The goal of this research is to enhance the accuracy of online sales management by finding the most efficient logistics method from the manufacturer using machine learning techniques.

Google says a new compression algorithm, called TurboQuant, can compress and search massive AI data sets with near-zero indexing time, potentially removing one of the biggest speed limits in modern ...

ABSTRACT: Under variable-speed conditions in modern industry, rolling bearing vibration signals are highly non-stationary, and fault features are easily obscured by speed interference and noise.

Abstract: The value chain of small and medium-sized enterprises (SMEs) of the building materials industry was analyzed using a support vector machine (SVM) algorithm. The algorithm was trained to ...