A research team at Shanghai Jiao Tong University has unveiled Optics GPT, described as the world's first large language model built specifically for the field of optics, offering what developers call ...

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

An end-to-end machine learning project to predict Autism Spectrum Disorder (ASD) risk in adults. Features a full ETL pipeline, comparative analysis of unsupervised & supervised models, and a final ...

Multiplication in Python may seem simple at first—just use the * operator—but it actually covers far more than just numbers. You can use * to multiply integers and floats, repeat strings and lists, or ...

ABSTRACT: The use of machine learning algorithms to identify characteristics in Distributed Denial of Service (DDoS) attacks has emerged as a powerful approach in cybersecurity. DDoS attacks, which ...

Abstract: Addressing the lack of professional monitoring in Distributed Photovoltaic Power Generation Systems (DPV), this study proposes a novel method for detecting anomalies in distributed ...

Ranking well on Google isn’t just about targeting keywords. It’s about building topic authority. One of the best ways to do this is by organizing your content into topic clusters. This strategy helps ...

Parse Document Model (Python) provides Pydantic models for representing text documents using a hierarchical model. This library allows you to define documents as a hierarchy of (specialised) nodes ...

Abstract: K-means is a commonly used algorithm in machine learning. It is an unsupervised learning algorithm. It is regularly used for data clustering. Only the number of clusters are needed to be ...