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Presents corrections to the paper, (Corrections to “A Novel Approach Based on Machine Learning, Blockchain and Decision Process for Securing Smart Grid”).
About A machine learning project that predicts student performance using classifiers on academic data, including data preprocessing, training, and evaluation.
The project, titled “Leveraging Foundation Models for Aircraft Surface Inspection in Open Environments”, tackles three main machine learning concerns: a lack of precedents of actual defects required ...
Your washing machine is probably one of the most-used appliances in your home. You toss in your dirty laundry, add some detergent and fabric softener, press start, and wait for clean clothes. Simple, ...
Abstract: Optical neural networks are emerging as structures with potential for artificial intelligence. We describe a multi-port directional coupler architecture and demonstrate its application for ...
Learn how to organize and structure your machine learning projects for real-world deployment. From directory layout to model versioning, data pipelines, and CI/CD integration — this guide will ...
The heavy equipment experts at XCMG have launched what they’re calling a “world’s first” 70 ton reach stacker designed specifically to support the construction of large, utility-scale battery energy ...
Deep learning models have shown great potential in predicting and engineering functional enzymes and proteins. Does this prowess extend to other fields of biology as well? Contrary to expectations, a ...
Run 🤗 Transformers directly in your browser, with no need for a server! Transformers.js is designed to be functionally equivalent to Hugging Face's transformers python library, meaning you can run ...
The new machine learning model developed by Plonsky and his colleagues draws from a behavioral science framework known as BEAST (Best Estimate and Sampling Tools). This is a model based on ...
One of the underrated aspects of an ambitious project like a restoration is pacing. It’s highly personal but if ignored can lead to extended periods of frustration. After more than 18 months of work ...
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