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Communications of the ACM19h
Machine Learning Framework Integrates Geometry into Fast PDE Solving
In the past several years, researchers have exploited the pattern-finding power of machine learning to create new frameworks ...
C&EN20d
Mixed-Integer Linear Programming Formulation with Embedded Machine Learning Surrogates for the Design of Chemical Process Families
In this article, we develop piecewise linear surrogates using Machine Learning (ML) models and the Optimization and Machine Learning Toolkit (OMLT) to show how process families can be designed to ...
GitHub21d
machine-learning-project
A machine learning-based UPI fraud detection system that analyzes transaction patterns to identify and flag suspicious activity. The project includes data preprocessing, model training, and a ...
The Washington Post24d
What it takes to get useful health data from your smartwatch
It can be relatively cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the ...
GitHub25d
linear-regression
Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality ...
C&EN25d
Single-Component Double-Emissive Ratiometric Probe: Toward Machine Learning Driven Detection and Discrimination of Neurological Biomarkers
Department of Chemistry, Sharif University of Technology, Tehran 11155-9516, Iran Center for Nanoscience and Nanotechnology, Institute for Convergence Science & Technology, Sharif University of ...