In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...
A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...
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 ...
Abstract: Software projects often fail due to poor effort estimation, which can lead to issues such as wasted time and resources. Developing software requires significant time, money, and skilled ...
The company is positioning it as especially good for enterprise use. The company is positioning it as especially good for enterprise use. is The Verge’s senior AI reporter. An AI beat reporter for ...
A deepfake image of President Donald Trump that received millions of views on social media is the latest large-scale example of how generative artificial intelligence can be used to create falsehoods ...
Abstract: This paper presents an innovative method for detecting blurry images by utilizing machine learning techniques. It integrates traditional image quality attributes with deep learning via a ...
Additionally, the effects of social media platform type, machine learning approach, and use of outcome measures in depression prediction models need attention. Analyzing social media texts for ...
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