The Defense Logistics Agency has published a white paper by David Bella pushing for machine learning to modernize logistics ...

QNNs achieved 95 percent accuracy, while QSVMs reached 94 percent, both surpassing classical machine learning methods, which ...

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

A scientist in Sweden has developed a new hybrid local features-based method using thermographs to identify faulty solar panels. A researcher from Sweden’s Jönköping University has proposed a machine ...

Trajectories of the vehicle-borne experiment on Google earth. Panel a Presents the overall bird’s eye view of the experiment, while panels b and c are the snapshots of the vehicle starting and driving ...

Machine learning (ML) is not only reshaping the tech industry but also making significant strides in environmental studies, ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

Researchers from the Belgian Federal Institute Sciensano, as part of the DARWIN project, have developed a proof-of-concept ...

High-precision GNSS applications, such as real-time displacement monitoring and vehicle navigation, rely heavily on resolving carrier-phase ambiguities. However, traditional methods like the R-ratio ...