AI-powered greenhouse systems now integrate predictive analytics, IoT sensors, and deep learning to fine-tune temperature, humidity, and COâ‚‚, improving energy efficiency and plant growth. Studies show ...
A decades-long study has confirmed that warm circumpolar deep water has expanded and moved closer to Antarctica’s continental shelf over the past 20 years, threatening ice shelves that hold back ...
Machine learning and deep learning models are now widely used to classify disease cases, forecast outbreaks, and analyze epidemiological trends, often achieving high levels of accuracy in controlled ...
For centuries, humans looked to seers and astrologers to determine fate. Today, we look to algorithms, and the loss of agency ...
Scientists have found a way to make AI much better at predicting complex, chaotic systems by tapping into the unique power of ...
Azillah Binti Othman, IAEA Department of Nuclear Sciences and Applications Ayhan Evrensel, IAEA Department of Nuclear Sciences and Applications The IAEA is inviting research organizations to join a ...
Abstract: Accurate rainfall forecasting plays a crucial role in weather monitoring. Currently, the application of global navigation satellite system-derived precipitable water vapor (GNSS-PWV) has ...
Ionospheric delay remains a significant error source in GNSS positioning, particularly for single-frequency users and during periods of enhanced space weather ...
Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...
This paper presents a machine learning–based nowcasting framework for estimating quarterly non-oil GDP growth in the Gulf Cooperation Council (GCC) countries. Leveraging machine learning models ...
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