The dual-track analysis confirms that the Jordanian Paradox is influenced by deeply rooted, intersecting institutional ...
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 ...
Kara Alaimo is an associate professor of communication at Fairleigh Dickinson University. Her book “Over the Influence: Why Social Media Is Toxic for Women and Girls — And How We Can Take It Back” was ...
When stretching an adhesive specimen along a longitudinal direction, it has a tendency to thin in a lateral direction. Measuring the relationship between how thin a material becomes during stretching ...
We consider the point process of signal strengths from transmitters in a wireless network observed from a fixed position under models with general signal path loss and random propagation effects. We ...
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demo of Poisson regression, where the goal is to predict a count of things arriving, such as the number of telephone calls ...
The Poisson distribution is widely used in artificial intelligence (AI) and machine learning. In Bayesian inference, probability distributions often help solve problems that would otherwise be ...
Life is uncertain. None of us know what is going to happen. We know little of what has happened in the past or is happening now outside our immediate experience. Uncertainty has been called the ...
Abstract: The Strauss point process is an essential and softly inhibitive model for describing random wireless networks. In this letter, we introduce the mean-field approximation for the Strauss point ...
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