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Showing results 1 to 10 of 3405 (Search time: 0.0 seconds).

Modeling Hydrological Responses of Watershed Under Climate Change Scenarios Using Machine Learning Techniquesoa mark
  • 2023-10-01
  • Water Resources Management, Vol.37, pp.5235-5254
  • Springer Science and Business Media B.V.
Machine learning-based analysis and prediction model on the strengthening mechanism of biopolymer-based soil treatment
  • 2024-02-25
  • Geomechanics and Engineering, Vol.36, pp.381-390
  • Techno-Press
Comparison of ammonia volatilization in paddy and field soils fertilized with urea and ammonium sulfate during rice, potato, and Chinese cabbage cultivation
  • Lee, Yeon Jin;
  • Im, Eun Chae;
  • Lee, Gyesik;
  • Hong, Sung Chang;
  • Lee, Chang Gu;
  • Park, Seong Jik
  • 2024-04-01
  • Atmospheric Pollution Research, Vol.15
  • Elsevier B.V.
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
Alternative assessment of machine learning to polynomial regression in response surface methodology for predicting decolorization efficiency in textile wastewater treatment
  • Kang, Jin Kyu;
  • Lee, Youn Jun;
  • Son, Chae Young;
  • Park, Seong Jik;
  • Lee, Chang Gu
  • 2025-02-01
  • Chemosphere, Vol.370
  • Elsevier Ltd
Software Analysis Method for Assessing Software Sustainability
  • 2020-01-01
  • International Journal of Software Engineering and Knowledge Engineering, Vol.30, pp.67-95
  • World Scientific Publishing Co. Pte Ltd
Site application of biopolymer-based soil treatment (BPST) for slope surface protection: in-situ wet-spraying method and strengthening effect verificationoa mark
  • Seo, Seunghwan;
  • Lee, Minhyeong;
  • Im, Jooyoung;
  • Kwon, Yeong Man;
  • Chung, Moon Kyung;
  • Cho, Gye Chun;
  • Chang, Ilhan
  • 2021-11-08
  • Construction and Building Materials, Vol.307
  • Elsevier Ltd
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