Dot Physics on MSN

Learn momentum conservation with a Python elastic collision model

Learn momentum conservation by building a Python model of elastic collisions! This tutorial guides you step-by-step through simulating elastic collisions, analyzing momentum transfer, and visualizing ...
North Penn Now

Machine Learning Using Python: A Complete Learning Path With Practical Projects

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
IEEE

Precision MEMS Timing: Microheater and Machine Learning Compensation for 21 PPT Stability at 7.5 Hours

Abstract: This paper presents a dual-mode ovenized MEMS resonator clock that achieves a fractional frequency stability of 21 parts per trillion at 7.5 hours of averaging time. The device incorporates ...
IEEE

sQUlearn: A Python Library for Quantum Machine Learning [Focus: Quantum Software and Its Engineering]

Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...
GitHub

Industrial-scale Prediction of Cement Clinker Phases using Machine Learning

@misc{fayaz2024industrialscalepredictioncementclinker, title={Industrial-scale Prediction of Cement Clinker Phases using Machine Learning}, author={Sheikh Junaid ...