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Application of Machine Learning to Determine Electron Temperature in Globus-M2 Tokamak Using the Soft X-Ray Emission Data and the Thomson Scattering Diagnostics Data.

Authors: Tkachenko, E. E. Kurskiev, G. S. Zhiltsov, N. S. et al.

Source: Physics of Atomic Nuclei. Dec2022, Vol. 85 Issue 7, p1214-1222. 9p.

Subject Terms: *Thomson scattering, *Electron temperature, *Soft X rays, *Supervised learning, *Tokamaks, *Electron temperature measurement, *Machine learning, *Hard X-rays

Source: Cengage Learning Inc. Company Profile. 7/13/2026, p1-16. 16p.

Hybrid Human and Machine Learning Algorithms to Forecast the European Stock Market.

Authors: Creamer, Germán G. Sakamoto, Yasuaki Nickerson, Jeffrey V. et al.

Source: Complexity. 4/26/2023, p1-20. 20p.

Learning to Read in a Digital World

Authors: Mirit Barzillai Jenny Thomson Sascha Schroeder et al.

Resource Type: eBook.

Subjects: Children--Books and reading, Computers and literacy, Reading--Technological innovations, Reading--Computer-assisted instruction, Reading comprehension, Reading, Psychology of

Categories: LANGUAGE ARTS & DISCIPLINES / Study & Teaching

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The relative importance of ESG pillars: A two‐step machine learning and analytical framework.

Authors: Mashayekhi, Bita Asiaei, Kaveh Rezaee, Zabihollah et al.

Source: Sustainable Development. Oct2024, Vol. 32 Issue 5, p5404-5420. 17p.

Subject Terms: *Environmental, social, & governance factors, *Corporate sustainability, Social responsibility of business, Cluster analysis (Statistics), Investors

Company/Entity: Thomson Reuters Corp.

Source: Cengage Learning Inc. Company Profile. 9/2/2025, p1-16. 16p.

Subject Terms: *Educational technology industries

Geographic Terms: Boston (Mass.)

Company/Entity: Cengage Learning Inc.

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Source: Thomson Reuters Corporation MarketLine Company Profile. 7/20/2026, p1-60. 60p.

Machine Learning for Multi-Messenger Probes of New Physics and Cosmology: Review and Perspective.

Authors: Addazi, Andrea Belotsky, Konstantin Beylin, Vitaly et al.

Source: Symmetry (20738994). Jul2026, Vol. 18 Issue 7, p1116. 47p.

Early Diagnosis of Congenital Heart Disease Using Transformer-Based Deep Learning on Electrocardiogram Signals.

Alternate Title: 基于Transformer 深度学习模型的心电信号早期诊断 先天性心脏病.

Authors: RAHMAN, Md Saifur ZAMAN, Junaid KHAIRUL, Md Sadi Iftia et al.

Source: Journal of Donghua University (English Edition). Jun2026, Vol. 43 Issue 3, p113-129. 17p.

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Beyond Neural Solvers: A Critical Review of Machine Learning for Combinatorial Optimization.

Authors: Ibrahim, Mostafa E. A. Ahmed, Alaa E. S. Daadaa, Yassine

Source: Mathematics (2227-7390). Jun2026, Vol. 14 Issue 12, p2208. 38p.

Human trajectory prediction with machine learning: An integrated systematic review and bibliometric analysis (2015-2025).

Authors: Rashid, Ahmad Zaki Aiman Bin Abdul Yusof, Azita Laily Binti

Source: Eurasia Journal of Mathematics, Science & Technology Education. Apr2026, Vol. 22 Issue 4, p1-17. 17p.

A Systematic Review of Anomaly and Fault Detection Using Machine Learning for Industrial Machinery.

Authors: Zaidi, Syed Haseeb Haider Shenfield, Alex Zhang, Hongwei et al.

Source: Algorithms. Feb2026, Vol. 19 Issue 2, p108. 22p.

Source: Cengage Learning Inc. Company Profile. 10/29/2024, p1-16. 16p.

Subject Terms: *Educational technology industries

Geographic Terms: Boston (Mass.)

Company/Entity: Cengage Learning Inc.

Authors: Heriot, Kirk C. Thomson, Neal F.

Source: Small Business Institute® Journal (SBIJ). 2025, Vol. 21 Issue 1, p25-34. 10p.

Subject Terms: *Business education, *Best practices, *Educational accreditation, Experiential learning, Student engagement, Longitudinal method, Case method (Teaching)

Numerical Investigation of the Joule–Thomson Effect in Hydrogen-Enriched Natural Gas Based on Environmental Parameters and Hydrogen Blending Ratios.

Authors: Jia, Zile Wang, Zixuan Zhao, Meng et al.

Source: Energies (19961073). Jun2026, Vol. 19 Issue 12, p2841. 32p.

Subject Terms: *Joule-Thomson effect, *Natural gas, *Pipeline transportation, *Temperature control, *Computational fluid dynamics, *Artificial intelligence, *Thermodynamics, *Hydrogen production

Electricity Theft Detection from Electricity and Gas Measurements Using Machine Learning.

Authors: Alfaverh, Fayiz Gan, Hock Miroshnyk, Volodymyr et al.

Source: Energies (19961073). May2026, Vol. 19 Issue 9, p2045. 29p.

Subject Terms: *Machine learning, *Decision trees, *Smart power grids, *Feature selection