Abstract: This article presents the design and implementation of a generic model for fault diagnosis in electrical distribution networks, based on the Support Vector Machine (SVM) algorithm. The ...

Excitement abounds for Valve's quirky cuboid, Steam Machine. But the console-PC hybrid sounds awfully a lot like what Microsoft is hoping to accomplish with its next-generation hardware. Even in an ...

In trading, discussions often center on strategies, indicators, or market predictions. Yet behind the numbers lies a quieter factor that often determines whether a system can endure: position sizing.

Background: Alterations in brain structure have been suggested to be associated with bulimia nervosa (BN). This study aimed to employ machine learning (ML) methods based on diffusion tensor imaging ...

Google announced a new multi-vector retrieval algorithm called MUVERA that speeds up retrieval and ranking, and improves accuracy. The algorithm can be used for search, recommender systems (like ...

ABSTRACT: Credit risk assessment plays an important role in financial services by estimating the chance of a borrower defaulting. Recently, although the Large Language Models (LLMs) have demonstrated ...

It's not just Intel code — after a period of undeath, Time Capsule's time is coming, with Apple cutting off support for Time Machine backups using the hardware in macOS 27. Time Capsules, Apple's long ...

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 ...

Abstract: A brain-computer interface (BCI) system enables direct communication between the brain and external devices, offering significant potential for assistive technologies and advanced ...

An automated machine learning program has been able to identify potential cardiovascular incidents or fall and fracture risks based on bone density scans taken during routine clinical testing. An ...