Devdiscourse

How AI transforms solar energy management and storage

According to the analysis, deep learning architectures such as Long Short-Term Memory (LSTM) networks and hybrid CNN-LSTM ...
pv magazine International

Machine learning-based fault detection technique for bifacial PV

CNN and random forest model to detect multiple faults in bifacial PV systems, including dust, shading, aging, and cracks. Using simulated I-V curves and a 180-day synthetic dataset, the model achieved ...
IEEE

Bringing Bearing Fault Detection to Embedded Systems Using Low-Cost Machine Learning Techniques

Abstract: Vibration analysis is crucial for predictive maintenance of bearing systems, aiming to reduce costs and prevent failures. This paper investigates signal processing techniques such as FFTs ...

Digital University Kerala scientists develop AI system to detect antenna types without physical testing

Researchers at Digital University Kerala develop AI system for antenna fault detection, revolutionizing communication and aerospace industries.
IEEE

Fault Detection of Neutron Flux Sensors for Instrumentation and Control Systems of Nuclear Power Plants

Abstract: This article presents a robust and efficient algorithm for real-time fault detection (FD) of neutron flux detectors, a critical component in instrumentation and control (I&C) systems of ...
Reuters

Russia says external power needed for Ukraine nuclear plant cooled by emergency generators

Zaporizhzhia reactors are shut down Emergency generators are cooling the reactors External power line was cut on September 23 Radiation levels are normal, IAEA and Russia say MOSCOW, Oct 1 (Reuters) - ...
Nature

Power and profit drive what we eat: here’s why the food system needs a revolution

Laura Kelly is director of the Shaping Sustainable Markets group at the International Institute for Environment and Development in London. At the United Nations Food Systems Summit held in Addis Ababa ...