A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral analysis and SVM classification, the approach improves ...
Abstract: Electrical circuits play a vital role in industrial, automotive, and power systems, where even minor faults can lead to severe performance degradation or system failure. Traditional fault ...
Hệ thống sử dụng AI và Computer Vision để phát hiện tình trạng buồn ngủ của lái xe theo thời gian thực: ...
Abstract: This paper presents a novel approach for the detection and classification of shading and short-circuit faults in photovoltaic (PV) systems by comparing the performance of Support Vector ...
Introduction: The rapid and accurate identification of natural and non-natural seismic events is crucial for compiling comprehensive earthquake catalogs and assessing regional seismic risk. Methods: ...
Traditional machine learning algorithms for classification tasks operate under the assumption of balanced class distributions. However, this assumption only holds in some practical scenarios. In most ...
Microsoft has added official Python support to Aspire 13, expanding the platform beyond .NET and JavaScript for building and running distributed apps. Documented today in a Microsoft DevBlogs post, ...
Ticket Classification Workflow with AI automatic classification of tickets + Intercom integration to receive customer inputs + Slack Notifications + Pipedrive Integration for creating Deals according ...
Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!
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