Tag: Industrial automation

A new machine learning framework reduces average transmission cycle time by 63% in industrial 802.11 g wireless networks by adaptively ...

Researchers replaced the aging fiber-optic control and monitoring system of an HVE-400 ion implanter with a centralized, computer-based digital design ...

Researchers have released HILIPS, an open-source three-stage pipeline that combines a multimodal language model, human review and a lightweight detector ...

Researchers in Turkey have built a leakage-aware, explainable AI framework that predicts quality risk in textile manufacturing, converts model explanations ...

Researchers in Chengdu have developed a predefined-time adaptive neural backstepping controller that forces electro-hydraulic actuators to converge within designer-set deadlines ...

Engineers in Uganda have designed and simulated a two-axis sliding robotic system that charges scrap into electric induction furnaces at ...

Researchers at Sapienza University of Rome have released Mo3D, an open-source Python framework that extends modular UAV mobility modeling into ...

Researchers at the University of Essex and British Telecom have built an AI video auditing system that combines fuzzy logic, ...

Researchers combined Monte Carlo Tree Search-tuned deep reinforcement learning with the GEMMA industrial safety framework to detect equipment faults early ...

In a groundbreaking study led by researchers Esteban, Halperin, and Silveira, published in the journal Auton Robot, an innovative approach ...