This important study uses a tripartite transdiagnostic computational framework to distinguish depression-specific, anxiety-specific, and shared psychopathology dimensions, in their relationships to ...
This isn't about rejecting large models; it's about having the engineering discipline to use smaller, specialized models ...
Abstract: In this study, we present a computationally efficient model for predicting moisture dynamics in paper-liquid insulation systems of transformers, aimed at enhancing real-time condition ...
Correspondence to Dr Nasim S Sabounchi; Nasim.Sabounchi{at}sph.cuny.edu Ethics and dissemination This project received approval from the Yale University Human Investigation Committee in 2024 (HIC # ...
In this example, we demonstrate how to model power electronics devices that perform current control using MathWorks products, focusing on: The modeling style introduced in this example is not a ...
Abstract: In this work, we develop an analytical framework that integrates opinion dynamics with a recommendation system. By incorporating elements such as collaborative filtering, we provide a ...
Modeling the motion of small particles in turbulent flows is central to a wide range of scientific and engineering problems ranging from cloud formation and pollutant transport to manufacturing and ...
The construction of the global energy internet is a significant way to develop clean energy and the key to achieving the goal of carbon neutrality. This study aims to the feasibility of trans-national ...
A recently resurfaced video shows now-President Donald Trump as one of the judges in a 1991 Elite Modeling “Look of the Year” competition, which featured models in their teens. The video began making ...
Hydrocephalus, a condition marked by excess cerebrospinal fluid (CSF) in the brain, affects millions globally and is predominantly treated using ventricular shunts. However, these devices often fail ...
The idea of simplifying model weights isn’t a completely new one in AI research. For years, researchers have been experimenting with quantization techniques that squeeze their neural network weights ...
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