The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

We now have our own terminal tournament featuring a competition for data scientists, analysts, and engineers. Trump mocks Biden and Obama for how they walk — and it reveals more than he realizes Top ...

Space vector modulation (SVM) is a sophisticated digital control technique that improves three-phase inverter performance over traditional sinusoidal PWM (SPWM). SVM’s higher DC bus utilization ...

Childhood asthma poses a significant threat to pediatric health, and traditional assessment methods are often inadequate in efficiency and accuracy. This study aims to develop a rapid assessment tool ...

Abstract: To solve the problem of low prediction accuracy of SVM algorithm, this paper proposes a prediction model research method based on PSO-SVM kernel function hybrid algorithm, designs global and ...

🫀 A machine learning project using logistic regression to predict heart disease risk from clinical data. Built with Python, scikit-learn, and Jupyter notebooks. Achieves 85%+ accuracy on 303-patient ...

Google announced a new multi-vector retrieval algorithm called MUVERA that speeds up retrieval and ranking, and improves accuracy. The algorithm can be used for search, recommender systems (like ...

Software defect prediction and cost estimation are critical challenges in software engineering, directly influencing software quality and project management efficiency. This study presents a ...

Arid and semiarid regions face challenges such as bushland encroachment and agricultural expansion, especially in Tiaty, Baringo, Kenya. These issues create mixed opportunities for pastoral and ...

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