Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

A new study highlights the critical role of advanced AI-integrated battery management system technologies in monitoring, optimizing, and predicting battery performance for reliable and sustainable ...

Two newly uncovered malware campaigns are exploiting open-source software across Windows and Linux environments to target enterprise executives and cloud systems, signaling a sharp escalation in both ...

Abstract: This study considers the current problem of the automated detection and classification of defects in wind turbine blades in the context of the development of modern wind energy. A critical ...

As AI systems have advanced rapidly, with large language models (LLMs) at the center, every tech executive has experienced their limits—when AI systems struggle with complex problem-solving, produce ...

A MATLAB implementation of an Adaptive Neuro-Fuzzy Inference System (ANFIS) controller for magnetic levitation (MagLev) systems. This project implements a neuro-fuzzy controller using ANFIS to control ...

We examined the performance of four families of large language models (LLMs) and a variety of common fuzzy matching algorithms in assessing the similarity of names and addresses in a sanctions ...

Abstract: Traffic Sign Recognition (TSR) plays a critical role in autonomous driving and advanced driver-assistance systems, necessitating accurate and efficient recognition under real-world ...

ABSTRACT: The growing demand for energy-efficient Wireless Sensor Networks (WSNs) in applications such as IoT, environmental monitoring, and smart cities has sparked exhaustive research into practical ...