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🔍 All Results 181 📝 Posts 👤 Researchers 2 📚 Publications 📄 Journal Papers 179
Showing 10 results for "Machine Learning"
📄 Journal Paper
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Hybrid quantum-classical machine learning for industrial multi-anomaly detection via single acoustic sensor
Abstract We developed a novel workflow that leverages Quantum Kernel feature space expressiveness combined with classical dimensionality reduction techniques. This workflow enables d…
👥 Takao Tomono, Kazuya Tsujimura 📰 Scientific Reports 📅 Jul 2026 🔗 DOI: 10.1038/s41598-026-61786-y
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Water remediation using sustainable kaolin-derived zeolite and machine learning-guided prediction of adsorption performance
Abstract A chemistry-informed machine learning (CIML) model was developed for the prediction of equilibrium concentration (Ce) and adsorption capacity (Qe) of sy…
👥 Megha Parmar, Vipin Shukla, Mohammed E. Ali Mohsin, Suleiman Mousa, Syed Shahabu 📰 Scientific Reports 📅 Jul 2026 🔗 DOI: 10.1038/s41598-026-61904-w
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Beyond spatiotemporal modeling: a review of applications of machine learning for traffic-related air pollution toward non-exhaust emissions
Abstract Traffic-related air pollution (TRAP), increasingly shaped by non-exhaust emissions, remains a major urban health concern. This review provides a structured synthesis of over…
👥 Natalie Ho, Shashwat Dhayade, Yue Zhang, Yidan Zhang, Jing Li, Yunyao Li, Yike S 📰 npj Clean Air 📅 May 2026 🔗 DOI: 10.1038/s44407-026-00078-1
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FuXi-Air: air quality forecasting based on emission-meteorology-pollutant multimodal machine learning
Abstract Air pollution has emerged as a major public health challenge worldwide. Numerical simulations and single-site machine-learning approaches in air quality forecasting faced mu…
👥 Zhixin Geng, Xu Fan, Xiqiao Lu, Yan Zhang, Guangyuan Yu, Cheng Huang, Qian Wang, 📰 npj Clean Air 📅 Apr 2026 📈 3 citations 🔗 DOI: 10.1038/s44407-026-00061-w
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Deployment of a machine learning-based predictive system for childhood diarrhea in Sub-Saharan Africa
Abstract Diarrhea remains a leading cause of child mortality in Sub-Saharan Africa, necessitating advanced predictive tools for early intervention. Despite the growing adoption of ma…
👥 Eliyas Addisu Taye, Eyob Akalewold Alemu, Halima Ayalew Kebede, Helen Brhan Alem 📰 Scientific Reports 📅 Mar 2026 🔗 DOI: 10.1038/s41598-026-43140-4
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A Machine learning pipeline to investigate tissue ingrowth in cerebral aneurysms using preclinical animal models
Abstract Cerebral aneurysm is a life-threatening condition characterized by the formation of a saccular bulge in brain blood vessels, which can rupture and lead …
👥 Fatemeh Afsari, Ishaq Ansari, Melanie E. Martinez, Lillian Atchison, Sayat Mimar 📰 Scientific Reports 📅 Mar 2026 🔗 DOI: 10.1038/s41598-026-43798-w
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A machine learning based scheme for enhancing the detection of position falsification attacks in vehicular ad hoc networks
Abstract Vehicular Ad Hoc Networks (VANETs) are wireless networks established between vehicles and their surrounding infrastructure, enabling the exchange of information. Consequentl…
👥 Eslam Abdelkreem, Sherif Hussein, Ashraf Tammam 📰 Scientific Reports 📅 Mar 2026 🔗 DOI: 10.1038/s41598-026-39867-9
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Towards fully automated synthetic ECV quantification: an open-access machine learning-based approach for fast blood draw-free CMR
Abstract Extracellular volume (ECV) quantification involves time-consuming multi-step post-processing and a blood draw for hematocrit analysis. This study aimed …
👥 Rebecca Elisabeth Beyer, Markus Hüllebrand, Patrick Doeblin, Ann Laube, Maximili 📰 Scientific Reports 📅 Mar 2026 🔗 DOI: 10.1038/s41598-026-43624-3
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Predicting identity dissociation using childhood maltreatment and genetic variation in the stress-response gene FKBP5: a machine learning analysis
Abstract Identity dissociation is challenging to detect and treat, and its etiology remains incompletely understood. Childhood maltreatment and FKBP5 polymorphis…
👥 Leonhard Kratzer, Hans Knoblauch, Abigail Powers, Seyma Katrinli, Vasiliki Micho 📰 Scientific Reports 📅 Mar 2026 📈 1 citations 🔗 DOI: 10.1038/s41598-026-42512-0
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Explainable machine learning for incipient anomaly detection in compact molten salt heat exchanger with overlapping feature distributions
Abstract High-temperature molten salt-cooled reactors (MSCRs) are a promising next-generation nuclear technology option, offering efficient power conversion and inherent safety featu…
👥 Konstantinos Prantikos, Taeseung Lee, Thanh Q. Hua, Lefteri H. Tsoukalas, Alexan 📰 Scientific Reports 📅 Mar 2026 🔗 DOI: 10.1038/s41598-025-27112-8