Search Results - "Jamei, Mehdi"

Predicting all-cause risk of 30-day hospital readmission using artificial neural networks by Jamei, Mehdi, Nisnevich, Aleksandr, Wetchler, Everett, Sudat, Sylvia, Liu, Eric

“…Avoidable hospital readmissions not only contribute to the high costs of healthcare in the US, but also have an impact on the quality of care for patients…”
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A meticulous intelligent approach to predict thermal conductivity ratio of hybrid nanofluids for heat transfer applications by Pourrajab, Rashid, Ahmadianfar, Iman, Jamei, Mehdi, Behbahani, Mohammad

“…Accurate estimation of thermal conductivity of hybrid nanofluids is crucial for various engineering and industrial applications. The main objective of this…”
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Toward the accurate estimation of elliptical side orifice discharge coefficient applying two rigorous kernel-based data-intelligence paradigms by Karbasi, Masoud, Jamei, Mehdi, Ahmadianfar, Iman, Asadi, Amin

“…In the present study, two kernel-based data-intelligence paradigms, namely, Gaussian Process Regression (GPR) and Kernel Extreme Learning Machine (KELM) along…”
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Prediction of Maximum Scour Depth near Spur Dikes in Uniform Bed Sediment Using Stacked Generalization Ensemble Tree-Based Frameworks by Pandey, Manish, Jamei, Mehdi, Karbasi, Masoud, Ahmadianfar, Iman, Chu, Xuefeng

“…AbstractThe scouring process near spur dikes could jeopardize the stability of riverbanks. Thus, accurate estimation of the maximum scour depth near spur dikes…”
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Nanofluids thermal conductivity prediction applying a novel hybrid data-driven model validated using Monte Carlo-based sensitivity analysis by Naseri, Ali, Jamei, Mehdi, Ahmadianfar, Iman, Behbahani, Mohammad

“…Accurate estimation of the thermal conductivity of nanofluids plays a key role in industrial heat transfer applications. Currently available experimental and…”
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Groundwater level prediction using machine learning models: A comprehensive review by Tao, Hai, Hameed, Mohammed Majeed, Marhoon, Haydar Abdulameer, Zounemat-Kermani, Mohammad, Heddam, Salim, Kim, Sungwon, Sulaiman, Sadeq Oleiwi, Tan, Mou Leong, Sa’adi, Zulfaqar, Mehr, Ali Danandeh, Allawi, Mohammed Falah, Abba, S.I., Zain, Jasni Mohamad, Falah, Mayadah W., Jamei, Mehdi, Bokde, Neeraj Dhanraj, Bayatvarkeshi, Maryam, Al-Mukhtar, Mustafa, Bhagat, Suraj Kumar, Tiyasha, Tiyasha, Khedher, Khaled Mohamed, Al-Ansari, Nadhir, Shahid, Shamsuddin, Yaseen, Zaher Mundher

“…Developing accurate soft computing methods for groundwater level (GWL) forecasting is essential for enhancing the planning and management of water resources…”
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Development of a new wavelet-based hybrid model to forecast multi-scalar SPEI drought index (case study: Zanjan city, Iran) by Karbasi, Masoud, Karbasi, Maryam, Jamei, Mehdi, Malik, Anurag, Azamathulla, Hazi Mohammad

“…Drought forecasting plays a vital role in managing drought and reducing its effects on agricultural systems and water resources. In the present study, three…”
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Computational assessment of groundwater salinity distribution within coastal multi-aquifers of Bangladesh by Jamei, Mehdi, Karbasi, Masoud, Malik, Anurag, Abualigah, Laith, Islam, Abu Reza Md Towfiqul, Yaseen, Zaher Mundher

“…The rising salinity trend in the country’s coastal groundwater has reached an alarming rate due to unplanned use of groundwater in agriculture and seawater…”
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Sunshine duration measurements and predictions in Saharan Algeria region: an improved ensemble learning approach by El-kenawy, El-Sayed M., Ibrahim, Abdelhameed, Bailek, Nadjem, Bouchouicha, Kada, Hassan, Muhammed A., Jamei, Mehdi, Al-Ansari, Nadhir

“…Sunshine duration is an important atmospheric indicator used in many agricultural, architectural, and solar energy applications (photovoltaics, thermal…”
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Prediction of flyrock induced by mine blasting using a novel kernel-based extreme learning machine by Mehdi Jamei, Mahdi Hasanipanah, Masoud Karbasi, Iman Ahmadianfar, Somaye Taherifar

“…Blasting is a common method of breaking rock in surface mines. Although the fragmentation with proper size is the main purpose, other undesirable effects such…”
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Multi-step ahead forecasting of electrical conductivity in rivers by using a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model enhanced by Boruta-XGBoost feature selection algorithm by Karbasi, Masoud, Ali, Mumtaz, Bateni, Sayed M., Jun, Changhyun, Jamei, Mehdi, Farooque, Aitazaz Ahsan, Yaseen, Zaher Mundher

“…Electrical conductivity (EC) is widely recognized as one of the most essential water quality metrics for predicting salinity and mineralization. In the current…”
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Publisher Correction: Multi-step ahead forecasting of electrical conductivity in rivers by using a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model enhanced by Boruta-XGBoost feature selection algorithm by Karbasi, Masoud, Ali, Mumtaz, Bateni, Sayed M., Jun, Changhyun, Jamei, Mehdi, Farooque, Aitazaz Ahsan, Yaseen, Zaher Mundher

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Development of an enhanced bidirectional recurrent neural network combined with time-varying filter-based empirical mode decomposition to forecast weekly reference evapotranspiration by Karbasi, Masoud, Jamei, Mehdi, Ali, Mumtaz, Malik, Anurag, Chu, Xuefeng, Farooque, Aitazaz Ahsan, Yaseen, Zaher Mundher

“…Evapotranspiration is one of agricultural water management's most significant and impactful hydrologic processes. A new multi-decomposition deep learning-based…”
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A comprehensive analytical and computational assessment of soil water characteristics curves in Atlantic Canada: Application of a novel SelectKbestbased GEP model by Cheema, Saad Javed, Shah, Syed Hamid Hussain, Farooque, Aitazaz A., Jamei, Mehdi, Abbas, Farhat, Esau, Travis J., Grewal, Kuljeet Singh

“…For sustainable agriculture, irrigation is one of the most important management practices in a semi-arid climate. Determining the site-specific soil type-based…”
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Designing a decomposition-based multi-phase pre-processing strategy coupled with EDBi-LSTM deep learning approach for sediment load forecasting by Jamei, Mehdi, Ali, Mumtaz, Malik, Anurag, Rai, Priya, Karbasi, Masoud, Farooque, Aitazaz A., Yaseen, Zaher Mundher

“…[Display omitted] •Multi-strategy daily suspended sediment forecasting in the Godavari river basin.•Potential of five feature selection methods coupled with…”
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Deposition and Microbial Analyses from Roof-Top Sediments Within Different Sanitation Environments by John, Chukwuemeka Kingsley, Pu, Jaan H., Moruzzi, Rodrigo, Hanmaiahgari, Prashanth R., Pandey, Manish, Zang, Shuyan, Jamei, Mehdi

“…Since the building roof acts as hub for atmospheric sediment deposition, the attached microbes can enter rainwater storage tank with ease to cause health issue…”
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Boruta extra tree-bidirectional long short-term memory model development for Pan evaporation forecasting: Investigation of arid climate condition by Karbasi, Masoud, Ali, Mumtaz, Bateni, Sayed M., Jun, Changhyun, Jamei, Mehdi, Yaseen, Zaher Mundher

“…In this study, two deep learning approaches, bidirectional long short-term memory (BiLSTM) and long short-term memory (LSTM), were used along with adaptive…”
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New achievements on daily reference evapotranspiration forecasting: Potential assessment of multivariate signal decomposition schemes by Ali, Mumtaz, Jamei, Mehdi, Prasad, Ramendra, Karbasi, Masoud, Xiang, Yong, Cai, Borui, Abdulla, Shahab, Ahsan Farooque, Aitazaz, Labban, Abdulhaleem H.

“…•Daily reference evapotranspiration forecasts via using climate-derived inputs.•Design novel multivariate variational mode decomposition (MVMD) hybridized with…”
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Narrowband noise study of sliding charge density waves in NbSe3 nanoribbons by Onishi, Seita, Jamei, Mehdi, Zettl, Alex

“…Transport properties (dc electrical resistivity, threshold electric field, and narrow-band noise) are reported for nanoribbon specimens of NbSe3 with…”
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Assessment of thermal conductivity of polyethylene glycol-carbon dot nanofluid through a combined experimental-data mining investigation by Shahsavar, Amin, Shaham, Aidin, Mirzaei, Mohamad Amin, Jamei, Mehdi, Seifikar, Fatemeh, Azizian, Saeid

“…The aim of this study is to determine the effect of nanoparticle concentration (φ) and temperature on the thermal conductivity of polyethylene glycol…”
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