Search Results - "Salih, Sinan Q."

Deep Learning Data-Intelligence Model Based on Adjusted Forecasting Window Scale: Application in Daily Streamflow Simulation by Fu, Minglei, Fan, Tingchao, Ding, Zi'ang, Salih, Sinan Q., Al-Ansari, Nadhir, Yaseen, Zaher Mundher

“…Streamflow forecasting is essential for hydrological engineering. In accordance with the advancement of computer aids in this field, various machine learning…”
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Drought index prediction using advanced fuzzy logic model: Regional case study over Kumaon in India by Malik, Anurag, Kumar, Anil, Salih, Sinan Q, Kim, Sungwon, Kim, Nam Won, Yaseen, Zaher Mundher, Singh, Vijay P

“…A new version of the fuzzy logic model, called the co-active neuro fuzzy inference system (CANFIS), is introduced for predicting standardized precipitation…”
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Developing Chaotic Artificial Ecosystem-Based Optimization Algorithm for Combined Economic Emission Dispatch by Hassan, Mohamed H., Kamel, Salah, Salih, Sinan Q., Khurshaid, Tahir, Ebeed, Mohamed

“…In this paper, Chaotic Artificial Ecosystem-based Optimization Algorithm (CAEO) is proposed and utilized to determine the optimal solution which achieves the…”
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Hourly River Flow Forecasting: Application of Emotional Neural Network Versus Multiple Machine Learning Paradigms by Yaseen, Zaher Mundher, Naganna, Sujay Raghavendra, Sa’adi, Zulfaqar, Samui, Pijush, Ghorbani, Mohammad Ali, Salih, Sinan Q., Shahid, Shamsuddin

“…Monitoring hourly river flows is indispensable for flood forecasting and disaster risk management. The objective of the present study is to develop a suite of…”
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Input attributes optimization using the feasibility of genetic nature inspired algorithm: Application of river flow forecasting by Afan, Haitham Abdulmohsin, Allawi, Mohammed Falah, El-Shafie, Amr, Yaseen, Zaher Mundher, Ahmed, Ali Najah, Malek, Marlinda Abdul, Koting, Suhana Binti, Salih, Sinan Q., Mohtar, Wan Hanna Melini Wan, Lai, Sai Hin, Sefelnasr, Ahmed, Sherif, Mohsen, El-Shafie, Ahmed

“…In nature, streamflow pattern is characterized with high non-linearity and non-stationarity. Developing an accurate forecasting model for a streamflow is…”
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Insights into the photovoltaic properties of indium sulfide as an electron transport material in perovskite solar cells by Dastan, Davoud, Mohammed, Mustafa K. A., Al-Mousoi, Ali K., Kumar, Anjan, Salih, Sinan Q., JosephNg, P. S., Ahmed, Duha S., Pandey, Rahul, Yaseen, Zaher Mundher, Hossain, M. Khalid

“…According to recent reports, planar structure-based organometallic perovskite solar cells (OPSCs) have achieved remarkable power conversion efficiency (PCE),…”
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Prediction of evaporation in arid and semi-arid regions: a comparative study using different machine learning models by Yaseen, Zaher Mundher, Al-Juboori, Anas Mahmood, Beyaztas, Ufuk, Al-Ansari, Nadhir, Chau, Kwok-Wing, Qi, Chongchong, Ali, Mumtaz, Salih, Sinan Q., Shahid, Shamsuddin

“…Evaporation, one of the fundamental components of the hydrology cycle, is differently influenced by various meteorological variables in different climatic…”
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Modeling monthly pan evaporation process over the Indian central Himalayas: application of multiple learning artificial intelligence model by Malik, Anurag, Kumar, Anil, Kim, Sungwon, Kashani, Mahsa H., Karimi, Vahid, Sharafati, Ahmad, Ghorbani, Mohammad Ali, Al-Ansari, Nadhir, Salih, Sinan Q., Yaseen, Zaher Mundher, Chau, Kwok-Wing

“…The potential of several predictive models including multiple model-artificial neural network (MM-ANN), multivariate adaptive regression spline (MARS), support…”
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Implementation of Univariate Paradigm for Streamflow Simulation Using Hybrid Data-Driven Model: Case Study in Tropical Region by Yaseen, Zaher Mundher, Mohtar, Wan Hanna Melini Wan, Ameen, Ameen Mohammed Salih, Ebtehaj, Isa, Razali, Siti Fatin Mohd, Bonakdari, Hossein, Salih, Sinan Q, Al-Ansari, Nadhir, Shahid, Shamsuddin

“…The performance of the bio-inspired adaptive neuro-fuzzy inference system (ANFIS) models are proposed for forecasting highly non-linear streamflow of Pahang…”
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An Enhanced Version of Black Hole Algorithm via Levy Flight for Optimization and Data Clustering Problems by Abdulwahab, Haneen A., Noraziah, A., Alsewari, Abdulrahman A., Salih, Sinan Q.

“…The processes of retrieving useful information from a dataset are an important data mining technique that is commonly applied, known as Data Clustering…”
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Non-Linear Input Variable Selection Approach Integrated With Non-Tuned Data Intelligence Model for Streamflow Pattern Simulation by Hadi, Sinan Jasim, Abba, S. I., Sammen, Saad Sh, Salih, Sinan Q., Al-Ansari, Nadhir, Yaseen, Zaher Mundher

“…Streamflow modeling is considered as an essential component for water resources planning and management. There are numerous challenges related to streamflow…”
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Multi-population Black Hole Algorithm for the problem of data clustering by Salih, Sinan Q, Alsewari, AbdulRahman A, Wahab, H A, Mohammed, Mustafa K A, Rashid, Tarik A, Das, Debashish, Basurra, Shadi S

“…The retrieval of important information from a dataset requires applying a special data mining technique known as data clustering (DC). DC classifies similar…”
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Metaheuristic optimization algorithms hybridized with artificial intelligence model for soil temperature prediction: Novel model by Penghui, Liu, Ewees, Ahmed A., Beyaztas, Beste Hamiye, Qi, ChongChong, Salih, Sinan Q., Al-Ansari, Nadhir, Bhagat, Suraj Kumar, Yaseen, Zaher Mundher, Singh, Vijay P.

“…An enhanced hybrid artificial intelligence model was developed for soil temperature (ST) prediction. Among several soil characteristics, soil temperature is…”
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Global Solar Radiation Estimation and Climatic Variability Analysis Using Extreme Learning Machine Based Predictive Model by Hai, Tao, Sharafati, Ahmad, Mohammed, Achite, Salih, Sinan Q., Deo, Ravinesh C., Al-Ansari, Nadhir, Yaseen, Zaher Mundher

“…Sustainable utilization of the freely available solar radiation as renewable energy source requires accurate predictive models to quantitatively evaluate…”
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Optimized parameter estimation of a PEMFC model based on improved Grass Fibrous Root Optimization Algorithm by Guo, Haibing, Tao, Hai, Salih, Sinan Q, Yaseen, Zaher Mundher

“…This paper presents a new optimal methodology for parameter identification of a 50 kW polymer membrane fuel cell (PEMFC) based on the economical-functional…”
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Grey Wolf Optimizer and Discrete Chaotic Map for Substitution Boxes Design and Optimization by Lawah, Ali Ibrahim, Ibrahim, Abdullahi Abdu, Salih, Sinan Q., Alhadawi, Hussam S., JosephNg, Poh Soon

“…A metaheuristic approach based on the nature-inspired and well-known Grey Wolf Optimization algorithm (GWO) was employed in this study to design an approach…”
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The Implementation of a Hybrid Model for Hilly Sub-Watershed Prioritization Using Morphometric Variables: Case Study in India by Malik, Anurag, Kumar, Anil, Kushwaha, Daniel Prakash, Kisi, Ozgur, Salih, Sinan Q., Al-Ansari, Nadhir, Yaseen, Zaher Mundher

“…Among several components of watershed prioritization, morphometric parameters are considered to be essential elements for appropriate water resource planning…”
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A Newly Developed Integrative Bio-Inspired Artificial Intelligence Model for Wind Speed Prediction by Tao, Hai, Salih, Sinan Q., Saggi, Mandeep Kaur, Dodangeh, Esmaeel, Voyant, Cyril, Al-Ansari, Nadhir, Yaseen, Zaher Mundher, Shahid, Shamsuddin

“…Accurate wind speed (WS) modelling is crucial for optimal utilization of wind energy. Numerical Weather Prediction (NWP) techniques, generally used for WS…”
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Training and Testing Data Division Influence on Hybrid Machine Learning Model Process: Application of River Flow Forecasting by Mostafa, Reham R., Al-Ansari, Nadhir, Ali, Zainab Hasan, Salih Ameen, Ameen Mohammed, Al-Sulttani, Ali Omran, Tao, Hai, Salih, Sinan Q.

“…The hydrological process has a dynamic nature characterised by randomness and complex phenomena. The application of machine learning (ML) models in forecasting…”
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The Capacity of the Hybridizing Wavelet Transformation Approach With Data-Driven Models for Modeling Monthly-Scale Streamflow by Hadi, Sinan Jasim, Tombul, Mustafa, Salih, Sinan Q., Al-Ansari, Nadhir, Yaseen, Zaher Mundher

“…Hybrid models that combine wavelet transformation (WT) as a pre-processing tool with data-driven models (DDMs) as modeling approaches have been widely…”
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