اكتمل التصدير — 
صورة الغلاف

Artificial intelligence models for suspended river sediment prediction: state-of-the art, modeling framework appraisal, and proposed future research directions

River sedimentation is an important indicator for ecological and geomorphological assessments of soil erosion within any watershed region. Sediment transport in a river basin is therefore a multifaceted field yet being a dynamic task in nature. It is characterized by high stochasticity, non-linearit...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Tao, Hai, Al-Khafaji, Zainab S., Qi, Chongchong, Zounemat-Kermani, Mohammad, Kisi, Ozgur, Tiyasha, Tiyasha, Chau, Kwok Wing, Nourani, Vahid, Melesse, Assefa M., Elhakeem, Mohamed, Farooque, Aitazaz Ahsan, Nejadhashemi, A. Pouyan, Khedher, Khaled Mohamed, Alawi, Omer A., Deo, Ravinesh C., Shahid, Shamsuddin, Singh, Vijay P., Yaseen, Zaher Mundher
التنسيق: مقال
اللغة:English
منشور في: Taylor and Francis Ltd. 2021
الموضوعات:
TA Engineering (General). Civil engineering (General)
الوصول للمادة أونلاين:http://eprints.utm.my/id/eprint/95590/1/ShamsuddinShahid2021_ArtificialIntelligenceModelsforSuspended.pdf
http://eprints.utm.my/id/eprint/95590/
http://dx.doi.org/10.1080/19942060.2021.1984992
الوسوم: إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

الانترنت

http://eprints.utm.my/id/eprint/95590/1/ShamsuddinShahid2021_ArtificialIntelligenceModelsforSuspended.pdf
http://eprints.utm.my/id/eprint/95590/
http://dx.doi.org/10.1080/19942060.2021.1984992

مواد مشابهة