Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...
Researchers at Seoul National University and Kyung Hee University report a framework to control collective motions, such as ring, clumps, mill, flock, by training a physics-informed AI to learn the ...
Google Colab is a free online tool from Google that lets you write and run Python code directly in your browser.
At a time when conflict and division dominate the headlines, a new study from UCLA finds remarkable similarities in how mice ...
A Slovak research team has developed a mathematical model for determining the optimum tilt angle of a solar system ranging from 0° to 90°. Their framework was tested on an experimental setup in ...
In today's data-driven environment, Python has become the mainstream language in the fields of machine learning and data science due to its concise syntax, rich library support, and active community, ...
Abstract: This article presents the design and implementation of a generic model for fault diagnosis in electrical distribution networks, based on the Support Vector Machine (SVM) algorithm. The ...
Today’s sharing is: Architect 2025 Season One The report totals: 383 pages Agentic AI Leads the Reconstruction of Software ...
Abstract: In recent years, many methods for simulating acoustic fields using deep learning have been proposed. In particular, neural networks using physical knowledge (PINN: Physics-Informed Neural ...
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