Engineering Supply Chain Resilience: Jaymalya Deb on Machine Learning and Forecasting Innovation
Jaymalya (“Jay”) Deb is currently the Division Materials Manager in the Industrial Process Filtration Division at Parker Hannifin, a Fortune...
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Data-efficient Quantum Noise Modeling Via Machine Learning Enables Accurate Noise Models From Existing Data
Predicting and mitigating errors represents a major challenge in harnessing the power of quantum computers, and accurate noise models are...
Machine Learning Accelerates Direct Energy Deposition Research
A review published on ResearchGate by researchers at the University of Windsor analyzes how machine learning (ML) is being applied...
Researchers Classify Ultrastrongly Coupled Qubit Noise With 99% Accuracy Using Machine Learning
Identifying and classifying noise in quantum systems presents a significant challenge to building reliable quantum technologies, and researchers are now...
BamClassifier: a machine learning method for assessing iron deficiency
Data setsTwo different types of real datasets were obtained for the study. The first dataset was obtained from a baseline...
Association between the nutritional inflammation index and mortality among patients with sepsis: insights from traditional methods and machine learning-based mortality prediction | BMC Infectious Diseases
Baseline characteristicsBoxplots grouped by ANLR quartiles (Fig. 2) show that NLR levels progressively decreased, while albumin levels gradually increased across quartiles....
