In recent years, scientists have found that machine learning–based weather models can make weather predictions more quickly ...

Japanese researchers employed machine learning to develop a wireless power transfer system that remains stable under any load ...

Annually, tens of thousands of wildfires ravage the United States, posing significant threats to people, wildlife, and infrastructure. A percentage of those wildfires are caused by degraded or downed ...

K-Means Algorithm, Influenza Transmission, Cluster Analysis, Urban Characteristics Share and Cite: Ye, S. (2025) Application ...

Researchers from Morocco, the UAE, Egypt, Italy, and South Africa have developed a low-cost IoT- and fuzzy logic–based irrigation system that dynamically adjusts watering using real-time soil and ...

What’s really interesting is how BMW has managed to get approval for both a Level 2 system, called the Highway Assistant, and ...

Nuclear energy is widely recognized as one of the most promising clean energy sources for the future, but its safe and ...

A case study in aerospace manufacturing provides an overview of how physics-informed digital twin systems transform robotics processes—from adaptive process planning and real- ...

A team of scientists in the United States has combined both spatial and temporal attention mechanisms to develop a new approach for PV inverter fault detection. Training the new method on a dataset ...