Abstract: Automation plays an important role in production industry for improving the quality and throughput of the end product. In most of the textile industries, manual inspection of the ...
This project provides a Python-based toolkit for tracking and analyzing the actuation of cantilever beams from video data. It leverages OpenCV and scientific Python libraries to extract quantitative ...
Cybersecurity researchers have disclosed multiple critical security vulnerabilities in Chaos Mesh that, if successfully exploited, could lead to cluster takeover in Kubernetes environments. "Attackers ...
In this tutorial, we build an Advanced OCR AI Agent in Google Colab using EasyOCR, OpenCV, and Pillow, running fully offline with GPU acceleration. The agent includes a preprocessing pipeline with ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Clustering techniques are consolidated as a powerful strategy for analyzing the ...
This is an astounding job! I had a little problem with the environment during the reproduction process. I can modify requirements.txt to make it easier for everyone to reproduce torch==2.2.2 ...
Abstract: To address the challenge of non-independent and identically distributed data in federated learning, clustering federated learning extracts local model features from clients and groups ...
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 ...
We may receive a commission on purchases made from links. Several people in the maker space have made clusters using the miniature computers made by Raspberry Pi. The small form-factor PCs are ...
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