Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized energy management. Yet as renewable penetration rises, maintaining stable ...

Intelligent drones and unmanned aerial systems (UAS) are rapidly evolving from experimental prototypes into essential infrastructure across disaster response, health care delivery, agriculture, ...

Researchers have developed a powerful machine learning framework that can accurately predict and optimize biochar production from algae, offering a ...

Advanced electronic noses and algorithms are transforming robotic olfaction, enabling machines to detect odors for improved ...

The demonstrator model, based on Madrid urban conditions, is able to calculate yields but can also be used to evaluate alternative maximum power point tracking (MPPT) algorithms. The team combined ...

JDK 27, due in September, kicks off with a post-quantum hybrid key exchange proposal to bolster the security of network communications. Java Development Kit (JDK) 27, a release of standard Java ...

Alexandru Tomescu noticed that algorithms that assemble genetic data are also suited to creating hiking maps. While developing the Hikepack application, Tomescu also learned about the challenges of ...

The European Network of Transmission System Operators for Electricity published a report on instability detection technologies to help countries with high renewable energy shares maintain grid ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...