Abstract: Fully utilizing artificial intelligence (AI) algorithms to develop more flexible and robust intelligent control methods is a current hot spot in research. To solve the parameter robustness ...

Abstract: For high-power paralleled three-phase three-level inverters with low switching frequency requirements, a novel cell-by-cell-based (CBCB) finite control set model predictive control algorithm ...

Mobile robots are increasingly deployed in applications ranging from household cleaning to hazardous industrial inspection, ...

The Slotozilla model is based on the principle that players first examine RTP, volatility, and bonus mechanics before ...

Utilities and power generation companies are bolstering operational efficiency and plant reliability by implementing advanced ...

Summary A predictive maintenance model that processes data at high speed supports faster decision-making and real-time ...

AI's role in data centers enhances operational efficiency, predictive maintenance, and cybersecurity, paving the way for ...

TL;DR Agentic lead generation structures replace legacy scraping workflows with automated intent-tracking and continuous ...

The next wave of robotics depends on unifying code and hardware—embedding AI directly into the deterministic systems that ...

This article examines how workplace AI and algorithms affect employee mental health, stress, burnout, and digital self-efficacy.

Operational autonomy is quickly becoming one of the defining capabilities of a modern enterprise. As digital estates become ...