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Showing results 1 to 10 of 10

A study to discover novel pharmaceutical cocrystals of pelubiprofen with a machine learning approach compared
  • Kim, Paul;
  • Lee, In Seo;
  • Kim, Ji Yoon;
  • Mswahili, Medard E.;
  • Jeong, Young Seob;
  • Yoon, Woo Jin;
  • Yun, Ho Seop;
  • Lee, Min Jeong;
  • Choi, Guang J.
  • 2022-04-27
  • CrystEngComm, Vol.24 No.21, pp.6498-6501
  • Royal Society of Chemistry
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
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
Designing Pr-based advanced photoluminescent materials using machine learning and density functional theory
  • Kumar, Upendra;
  • Kim, Hyeon Woo;
  • Singh, Sobhit;
  • Cho, Sung Beom;
  • Ko, Hyunseok
  • 2024-01-01
  • Journal of Materials Science, Vol.59 No.4, pp.1433-1447
  • Springer
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
Historical inference based on semi-supervised learningoa mark
  • 2018-09-15
  • Expert Systems with Applications, Vol.106, pp.121-131
  • Elsevier Ltd
Locate UWB Smart Keys: Smart and Faster
  • 2021-02-24
  • HotMobile 2021 - Proceedings of the 22nd International Workshop on Mobile Computing Systems and Applications, pp.168-170
  • Association for Computing Machinery, Inc
Machine learning approaches for boredom classification using EEG
  • 2019-10-01
  • Journal of Ambient Intelligence and Humanized Computing, Vol.10 No.10, pp.3831-3846
  • Springer Verlag
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.
Ultra-compact terahertz 50:50 power splitter designed by a perceptron-based algorithmoa mark
  • 2022-07-15
  • Optics Continuum, Vol.1 No.7, pp.1565-1571
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