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Showing results 1 to 10 of 2520 (Search time: 0.0 seconds).

Enhancing flow stress predictions in CoCrFeNiV high entropy alloy with conventional and machine learning techniquesoa mark
  • Dewangan, Sheetal Kumar;
  • Jain, Reliance;
  • Bhattacharjee, Soumyabrata;
  • Jain, Sandeep;
  • Paswan, Manikant;
  • Samal, Sumanta;
  • Ahn, Byungmin
  • 2024-05-01
  • Journal of Materials Research and Technology, Vol.30, pp.2377-2387
  • Elsevier Editora Ltda
Bandgap analysis of transition-metal dichalcogenide and oxide via machine learning approach
  • 2022-12-01
  • Journal of Physics and Chemistry of Solids, Vol.171
  • Elsevier Ltd
Correction to: Fast and accurate pseudoinverse with sparse matrix reordering and incremental approach (Machine Learning, (2020), 109, 12, (2333-2347), 10.1007/s10994-020-05920-5)oa mark
  • 2021-03-01
  • Machine Learning, Vol.110, pp.619-620
  • Springer
Unified learning to enhance adaptive behavior of simulation objects
  • 2018-11-01
  • Simulation, Vol.94, pp.979-992
  • SAGE Publications Ltd
Historical inference based on semi-supervised learningoa mark
  • 2018-09-15
  • Expert Systems with Applications, Vol.106, pp.121-131
  • Elsevier Ltd
Assessment of construction workers’ perceived risk using physiological data from wearable sensors: A machine learning approach
  • 2021-10-01
  • Journal of Building Engineering, Vol.42
  • Elsevier Ltd
An Effective Anomaly Detection Approach based on Hybrid Unsupervised Learning Technologies in NIDSoa mark
  • 2024-02-29
  • KSII Transactions on Internet and Information Systems, Vol.18, pp.494-510
  • Korean Society for Internet Information
Machine Learning based Inference on Causality in Graphs
  • 이동기
  • 2021-02
  • The Graduate School, Ajou University
Correction to: Fast and accurate pseudoinverse with sparse matrix reordering and incremental approach (Machine Learning, (2020), 109, 12, (2333-2347), 10.1007/s10994-020-05920-5)oa mark
  • 2021-02-01
  • Machine Learning, Vol.110, p. 449
  • Springer
Machine learning-enhanced design of lead-free halide perovskite materials using density functional theory
  • Kumar, Upendra;
  • Kim, Hyeon Woo;
  • Maurya, Gyanendra Kumar;
  • Raj, Bincy Babu;
  • Singh, Sobhit;
  • Kushwaha, Ajay Kumar;
  • Cho, Sung Beom;
  • Ko, Hyunseok
  • 2025-01-01
  • Current Applied Physics, Vol.69, pp.1-7
  • Elsevier B.V.
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