المؤلفون: Hamid Mohebzadeh, Asim Biswas, Ramesh Rudra, Prasad Daggupati

المصدر: Geosciences, Vol 12, Iss 12, p 429 (2022)

مصطلحات موضوعية: gully erosion susceptibility mapping (GESM), machine learning, support vector machine, random forest, Geology, QE1-996.5

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2076-3263/12/12/429; https://doaj.org/toc/2076-3263

URL الوصول: https://doaj.org/article/f15d459d8d504924b74490fe2252c698

المؤلفون: Peiman Parisouj, Esmaiil Mokari, Hamid Mohebzadeh, Hamid Goharnejad, Changhyun Jun, Jeill Oh, Sayed M. Bateni

المصدر: Applied Sciences, Vol 12, Iss 15, p 7464 (2022)

مصطلحات موضوعية: streamflow prediction, data-driven, hybrid modeling, LSTM model, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2076-3417/12/15/7464; https://doaj.org/toc/2076-3417

URL الوصول: https://doaj.org/article/ab78baf63741449683d0ab25f095b1bf

المؤلفون: Hamid Mohebzadeh, Junho Yeom, Taesam Lee

المصدر: Remote Sensing, Vol 12, Iss 9, p 1412 (2020)

مصطلحات موضوعية: spatial downscaling, MODIS chlorophyll-a, sentinel-2A MSI, multiple polynomial regression, genetic programming, Science

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2072-4292/12/9/1412; https://doaj.org/toc/2072-4292

URL الوصول: https://doaj.org/article/07e3de57f0b44290972e195ced0593be

المؤلفون: Hamid Mohebzadeh, Asim Biswas, Ben DeVries, Ramesh Rudra, Prasad Daggupati

المصدر: Springer;International Society for the Prevention and Mitigation of Natural Hazards, Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards. 120(5):4527-4561

الإتاحة: https://ideas.repec.org/a/spr/nathaz/v120y2024i5d10.1007_s11069-023-06377-0.html

المؤلفون: Koffi Djaman, David Dubois, Zohrab Samani, Esmaiil Mokari, Hamid Mohebzadeh

المصدر: Theoretical and Applied Climatology. 147:575-587

مصطلحات موضوعية: Climatic data, Climate zones, Estimation, Atmospheric Science, Climatology, Evapotranspiration, Environmental science

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::33a63f63e430883c675c6edb152badd2
https://doi.org/10.1007/s00704-021-03855-y

المؤلفون: Prasad Daggupati, Asim Biswas, Esmaiil Mokari, Hamid Mohebzadeh

المصدر: International Journal of Remote Sensing. 42:7381-7404

مصطلحات موضوعية: Chlorophyll a, chemistry.chemical_compound, chemistry, Product (mathematics), General Earth and Planetary Sciences, Environmental science, Ocean colour, Imputation (statistics), Water quality, Moderate-resolution imaging spectroradiometer, Remote sensing

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::134d08ae25e628c9299cabd6f70706ce
https://doi.org/10.1080/01431161.2021.1957513

المؤلفون: Taesam Lee, Hadi Mohammadzadeh Khani, Peiman Parisouj, Hamid Mohebzadeh

المصدر: Journal of Applied Water Engineering and Research. 9:161-174

مصطلحات موضوعية: Hydrology, Scarce data, Satellite rainfall, geography, geography.geographical_feature_category, Rainfall runoff, Flood myth, Warning system, PERSIANN, Drainage basin, Environmental science, HEC-HMS, Water Science and Technology

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::02b413ca7a6abf6797d3df7a490b83dc
https://doi.org/10.1080/23249676.2021.1884617

المؤلفون: Hamid Mohebzadeh, Taesam Lee, Peiman Parisouj

المصدر: Water Resources Management. 34:4113-4131

مصطلحات موضوعية: 010504 meteorology & atmospheric sciences, Scale (ratio), Artificial neural network, business.industry, 0208 environmental biotechnology, Feature selection, 02 engineering and technology, Machine learning, computer.software_genre, 01 natural sciences, Backpropagation, 020801 environmental engineering, Support vector machine, Streamflow, Environmental science, Flood mitigation, Artificial intelligence, business, Algorithm, computer, 0105 earth and related environmental sciences, Water Science and Technology, Civil and Structural Engineering, Extreme learning machine

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::f3911ba050ed25ed9e8a30640eec4a2c
https://doi.org/10.1007/s11269-020-02659-5

المؤلفون: Taesam Lee, Hamid Mohebzadeh

المصدر: Journal of Oceanography. 77:103-122

مصطلحات موضوعية: Polynomial regression, 010504 meteorology & atmospheric sciences, 010505 oceanography, business.industry, Oceanography, Machine learning, computer.software_genre, 01 natural sciences, Regression, Random forest, Support vector machine, Outlier, Range (statistics), Environmental science, Moderate-resolution imaging spectroradiometer, Artificial intelligence, business, computer, 0105 earth and related environmental sciences, Downscaling

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::b133563a9c0303d7d296b33abbe00ebb
https://doi.org/10.1007/s10872-020-00562-6

المؤلفون: Peiman Parisouj, Hamid Mohebzadeh, Taesam Lee

المصدر: Springer;European Water Resources Association (EWRA), Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA). 34(13):4113-4131

الإتاحة: https://ideas.repec.org/a/spr/waterr/v34y2020i13d10.1007_s11269-020-02659-5.html