Zobrazeno 1 - 10
of 168
pro vyhledávání: '"Salim Heddam"'
Autor:
Ebrahim Nohani, Ahmadreza Karimipour, Solmaz Khazaei, Hossein Zamani Haroni, Sheikh-Mansur Akhmatov, Aleksandr Yegorov, Maryam Zolfaghari, Javad Hatamiafkoueieh, Salim Heddam, John Tiefenbacher
Publikováno v:
Water Practice and Technology, Vol 19, Iss 5, Pp 1659-1675 (2024)
Monthly streamflow forecasting is critical for improving water resource management. In this study, several base-classifier data-mining algorithms – conjunctive rule (CR), isotonic regression (ISOR), sequential minimal optimization regression (SMOR)
Externí odkaz:
https://doaj.org/article/b09db5a3ee2c443c8a2a72a4e5426dec
Autor:
Sanjeev Gupta, Pravendra Kumar, Gottam Kishore, Rawshan Ali, Nadhir Al-Ansari, Dinesh Kumar Vishwakarma, Alban Kuriqi, Quoc Bao Pham, Ozgur Kisi, Salim Heddam, Mohamed A. Mattar
Publikováno v:
Applied Water Science, Vol 14, Iss 6, Pp 1-26 (2024)
Abstract Accurate prediction of reference evapotranspiration (ETo) is crucial for many water-related fields, including crop modelling, hydrologic simulations, irrigation scheduling and sustainable water management. This study compares the performance
Externí odkaz:
https://doaj.org/article/5f5fc971a48d450db6db52b81a0deeb9
Autor:
L. M. Sidek, H. A. Mohiyaden, M. Marufuzzaman, N. S. M. Noh, Salim Heddam, Mohammad Ehteram, Ozgur Kisi, Saad Sh. Sammen
Publikováno v:
Environmental Sciences Europe, Vol 36, Iss 1, Pp 1-17 (2024)
Abstract Currently, the Water Quality Index (WQI) model becomes a widely used tool to evaluate surface water quality for agriculture, domestic and industrial. WQI is one of the simplest mathematical tools that can assist water operator in decision ma
Externí odkaz:
https://doaj.org/article/f73b406c3f3244cfbd9f41603175952a
Autor:
Salim Heddam, Dinesh Kumar Vishwakarma, Salwan Ali Abed, Pankaj Sharma, Nadhir Al-Ansari, Abed Alataway, Ahmed Z. Dewidar, Mohamed A. Mattar
Publikováno v:
Applied Water Science, Vol 14, Iss 3, Pp 1-23 (2024)
Abstract The river stage is certainly an important indicator of how the water level fluctuates overtime. Continuous control of the water stage can help build an early warning indicator of floods along rivers and streams. Hence, forecasting river stag
Externí odkaz:
https://doaj.org/article/de7c69f6c4e64eea9e3e80269959d4f6
Autor:
Gottam Kishore, Ranjay Kumar Singh, C. K. Saxena, Nadhir Al-Ansari, Dinesh Kumar Vishwakarma, Salim Heddam
Publikováno v:
Water Reuse, Vol 13, Iss 4, Pp 545-558 (2023)
Magnetic water treatment (magnetic treatment device (MTD)) has long been a contentious procedure for domestic water treatment. This study examines the pros and cons of using different water types with and without a magnetic field treatment for growin
Externí odkaz:
https://doaj.org/article/fa1e921c64ad440c8eb8f4904b409994
Autor:
Javad Hatamiafkoueieh, Salim Heddam, Saeed Khoshtinat, Solmaz Khazaei, Abdol-Baset Osmani, Ebrahim Nohani, Mohammad Kiomarzi, Ehsan Sharafi, John Tiefenbacher
Publikováno v:
Journal of Hydroinformatics, Vol 25, Iss 6, Pp 2643-2659 (2023)
In this study, the vote algorithm used to improve the performances of three machine-learning models including M5Prime (M5P), random forest (RF), and random tree (RT) is developed (i.e. V-M5P, V-RF, and V-RT). Developed models were tested for forecast
Externí odkaz:
https://doaj.org/article/98d3820ddf4e4daaa17796f9c0519007
Autor:
Bijay Halder, Iman Ahmadianfar, Salim Heddam, Zainab Haider Mussa, Leonardo Goliatt, Mou Leong Tan, Zulfaqar Sa’adi, Zainab Al-Khafaji, Nadhir Al-Ansari, Ali H. Jawad, Zaher Mundher Yaseen
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-19 (2023)
Abstract Climatic condition is triggering human health emergencies and earth’s surface changes. Anthropogenic activities, such as built-up expansion, transportation development, industrial works, and some extreme phases, are the main reason for cli
Externí odkaz:
https://doaj.org/article/997ae4a338334f17bfa0e5eb6a0b1efc
Autor:
Rana Muhammad Adnan, Hong-Liang Dai, Reham R. Mostafa, Abu Reza Md. Towfiqul Islam, Ozgur Kisi, Salim Heddam, Mohammad Zounemat-Kermani
Publikováno v:
Geocarto International, Vol 38, Iss 1 (2023)
The accurate assessment of groundwater levels is critical to water resource management. With global warming and climate change, its significance has become increasingly evident, particularly in arid and semi-arid areas. This study compares new extrem
Externí odkaz:
https://doaj.org/article/ffbc3d501f0544369ebf662545d1f0db
Autor:
Rana Muhammad Adnan, Reham R. Mostafa, Hong-Liang Dai, Salim Heddam, Alban Kuriqi, Ozgur Kisi
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 17, Iss 1 (2023)
This study investigates the feasibility of a relevance vector machine tuned with improved Manta-Ray foraging optimization (RVM-IMRFO) in predicting monthly pan evaporation using limited climatic input data (e.g. temperature). The accuracy of the RVM-
Externí odkaz:
https://doaj.org/article/5fb68130d51b4822b659e4decb8c2a66
Publikováno v:
Heliyon, Vol 9, Iss 11, Pp e21351- (2023)
Wastewater quality modelling plays a vital role in planning and management of wastewater treatment plants (WWTP). This paper develops a new hybrid machine learning model based on extreme learning machine (ELM) optimized by Bat algorithm (ELM-Bat) for
Externí odkaz:
https://doaj.org/article/760875e5b5054297878c20c906c07f8c