Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
Abstract: The classification of tree species for overhead transmission lines (OHTL) is of great significance, facilitating the the timely removal of safety hazards posed by trees on power lines.
According to their findings, published in Global Change Biology, an estimated 320 million trees die each year due to lightning strikes. Tree losses caused by direct lightning-ignited wildfires are not ...
Python has been the language of data science since before machine learning was trendy, and now you can use it for building AI agents, too. Get the scoop on the new Google Agent Development Kit and ...
Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...
Abstract: Tree species classification plays a crucial role in forest management, biodiversity conservation, and ecological monitoring. Light detection and ranging (LiDAR) technology, capturing highly ...
Balancing water quality standards while facilitating economic growth with uncertain factors in a complex system is challenging for policy makers. This case study analyses the fictional town of Fortuna ...
Implementing third-party model portfolios requires selecting the right technology platform, segmenting clients for a phased transition and effectively communicating the benefits of expert portfolio ...
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