Abstract: Nonintrusive load monitoring (NILM) can effectively evaluate and track fine-grained energy consumption at the appliance level by using instruments or devices such as smart meters, providing ...

Abstract: The K-nearest neighbors (kNNs) algorithm, a cornerstone of supervised learning, relies on similarity measures constrained by real-number-based distance metrics. A critical limitation of ...

ABSTRACT: The objective of this work is to determine the true owner of a land—public or private—in the region of Kumasi (Ghana). For this purpose, we applied different machine learning methods to the ...

Neil Saunders is a supporter of The Campaign for Mathematical Sciences. In 2025, more young people than ever have opened their A-level results to find out how they did in their maths exam. Once again, ...

Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...

Matrix Executions, an agency-only broker dealer and trading technology provider, has enhanced its US listed options algorithm technology suite with new price discovery and liquidity-seeking tools. The ...

ABSTRACT: To ensure the efficient operation and timely maintenance of wind turbines, thereby enhancing energy security, it is critical to monitor the operational status of wind turbines and promptly ...

There were seven confirmed algorithm updates (two less than last year). But Google's March core update was Google's biggest update ever. Google launched seven official and confirmed algorithmic ...

Russian state hackers APT28 (Fancy Bear/Forest Blizzard/Sofacy) breached a U.S. company through its enterprise WiFi network while being thousands of miles away, by leveraging a novel technique called ...

Contrastive image and text models face significant challenges in optimizing retrieval accuracy despite their crucial role in large-scale text-to-image and image-to-text retrieval systems. While these ...