Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
Unlike other industries, healthcare generates not only numerical and categorical data but also large volumes of unstructured ...
Today at the San Antonio Breast Cancer Symposium (SABCS), researchers presented the initial findings from a major multi-year ...
Every clonal raider ant lives a nearly identical life. Each new generation of these blind, queenless ants is born at the same ...
A peer-reviewed paper about Chinese startup DeepSeek's models explains their training approach but not how they work through ...
A new study made a version of GPT-5 Thinking admit its own misbehavior. But it's not a quick fix for bigger safety issues.
Abstract: Intelligent Transportation Systems (ITS) play a crucial role in enhancing traffic efficiency and safety. Recently, diffusion models have emerged as transformative tools for addressing the ...
Abstract: The course selection process in higher education has grown more complex as the students face the growing volume of academic options that must align with their personal and career goals. The ...
Schug discusses the role of surrogate modelling in chromatographic method development and process optimization. Surrogate modelling is emerging as a powerful tool in chromatographic method development ...
You are free to share (copy and redistribute) this article in any medium or format and to adapt (remix, transform, and build upon) the material for any purpose, even commercially within the parameters ...
Artificial intelligence has made spectacular progress, thanks to increasingly complex and powerful models driving innovations across industries. However, as models grow larger, they require more ...
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