Search Results - "Mosavi, Amir"

An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines by Choubin, Bahram, Moradi, Ehsan, Golshan, Mohammad, Adamowski, Jan, Sajedi-Hosseini, Farzaneh, Mosavi, Amir

“…Floods, as a catastrophic phenomenon, have a profound impact on ecosystems and human life. Modeling flood susceptibility in watersheds and reducing the damages…”
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Flood Prediction Using Machine Learning Models: Literature Review by Mosavi, Amir, Ozturk, Pinar, Chau, Kwok-wing

“…Floods are among the most destructive natural disasters, which are highly complex to model. The research on the advancement of flood prediction models…”
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Double-Target Based Neural Networks in Predicting Energy Consumption in Residential Buildings by Moayedi, Hossein, Mosavi, Amir

“…A reliable prediction of sustainable energy consumption is key for designing environmentally friendly buildings. In this study, three novel hybrid intelligent…”
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Deep Learning for Detecting Building Defects Using Convolutional Neural Networks by Perez, Husein, Tah, Joseph H M, Mosavi, Amir

“…Clients are increasingly looking for fast and effective means to quickly and frequently survey and communicate the condition of their buildings so that…”
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An Innovative Metaheuristic Strategy for Solar Energy Management through a Neural Networks Framework by Moayedi, Hossein, Mosavi, Amir

“…Proper management of solar energy as an effective renewable source is of high importance toward sustainable energy harvesting. This paper offers a novel…”
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Survey of Mechanical Properties of Geopolymer Concrete: A Comprehensive Review and Data Analysis by Mohammed, Azad A., Ahmed, Hemn Unis, Mosavi, Amir

“…Mechanical properties and data analysis for the prediction of different mechanical properties of geopolymer concrete (GPC) were investigated. A relatively…”
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COVID-19 Pandemic Prediction for Hungary; A Hybrid Machine Learning Approach by Pinter, Gergo, Felde, Imre, Mosavi, Amir, Ghamisi, Pedram, Gloaguen, Richard

“…Several epidemiological models are being used around the world to project the number of infected individuals and the mortality rates of the COVID-19 outbreak…”
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Suggesting a Stochastic Fractal Search Paradigm in Combination with Artificial Neural Network for Early Prediction of Cooling Load in Residential Buildings by Moayedi, Hossein, Mosavi, Amir

“…Early prediction of thermal loads plays an essential role in analyzing energy-efficient buildings’ energy performance. On the other hand, stochastic algorithms…”
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Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis by Nabipour, Mojtaba, Nayyeri, Pooyan, Jabani, Hamed, S., Shahab, Mosavi, Amir

“…The nature of stock market movement has always been ambiguous for investors because of various influential factors. This study aims to significantly reduce the…”
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Application of Taguchi method and response surface methodology into the removal of malachite green and auramine-O by NaX nanozeolites by Shojaei, Siroos, Shojaei, Saeed, Band, Shahab S., Farizhandi, Amir Abbas Kazemzadeh, Ghoroqi, Milad, Mosavi, Amir

“…In the present study, the simultaneous removal of malachite green (MG) and auramine-O (AO) dyes from the aqueous solution by NaX nanozeolites in a batch system…”
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State of the Art of Machine Learning Models in Energy Systems, a Systematic Review by Mosavi, Amir, Salimi, Mohsen, Faizollahzadeh Ardabili, Sina, Rabczuk, Timon, Shamshirband, Shahaboddin, Varkonyi-Koczy, Annamaria

“…Machine learning (ML) models have been widely used in the modeling, design and prediction in energy systems. During the past two decades, there has been a…”
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Predicting and Mapping of Soil Organic Carbon Using Machine Learning Algorithms in Northern Iran by Emadi, Mostafa, Taghizadeh-Mehrjardi, Ruhollah, Cherati, Ali, Danesh, Majid, Mosavi, Amir, Scholten, Thomas

“…Estimation of the soil organic carbon (SOC) content is of utmost importance in understanding the chemical, physical, and biological functions of the soil. This…”
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Modeling hydrogen solubility in hydrocarbons using extreme gradient boosting and equations of state by Mohammadi, Mohammad-Reza, Hadavimoghaddam, Fahime, Pourmahdi, Maryam, Atashrouz, Saeid, Munir, Muhammad Tajammal, Hemmati-Sarapardeh, Abdolhossein, Mosavi, Amir H., Mohaddespour, Ahmad

“…Due to industrial development, designing and optimal operation of processes in chemical and petroleum processing plants require accurate estimation of the…”
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Rainfall Prediction System Using Machine Learning Fusion for Smart Cities by Rahman, Atta-Ur, Abbas, Sagheer, Gollapalli, Mohammed, Ahmed, Rashad, Aftab, Shabib, Ahmad, Munir, Khan, Muhammad Adnan, Mosavi, Amir

“…Precipitation in any form-such as rain, snow, and hail-can affect day-to-day outdoor activities. Rainfall prediction is one of the challenging tasks in weather…”
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COVID-19 Outbreak Prediction with Machine Learning by Ardabili, Sina, Mosavi, Amir, Ghamisi, Pedram, Ferdinand, Filip, Varkonyi-Koczy, Annamaria, Reuter, Uwe, Rabczuk, Timon, Atkinson, Peter

“…Several outbreak prediction models for COVID-19 are being used by officials around the world to make informed decisions and enforce relevant control measures…”
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Performance Analysis of State-of-the-Art CNN Architectures for LUNA16 by Naseer, Iftikhar, Akram, Sheeraz, Masood, Tehreem, Jaffar, Arfan, Khan, Muhammad Adnan, Mosavi, Amir

“…The convolutional neural network (CNN) has become a powerful tool in machine learning (ML) that is used to solve complex problems such as image recognition,…”
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Application of Gene Expression Programming (GEP) for the Prediction of Compressive Strength of Geopolymer Concrete by Ali Khan, Mohsin, Zafar, Adeel, Akbar, Arslan, Javed, Muhammad Faisal, Mosavi, Amir

“…For the production of geopolymer concrete (GPC), fly-ash (FA) like waste material has been effectively utilized by various researchers. In this paper, the soft…”
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Short-Term Hydrological Drought Forecasting Based on Different Nature-Inspired Optimization Algorithms Hybridized With Artificial Neural Networks by Nabipour, Narjes, Dehghani, Majid, Mosavi, Amir, Shamshirband, Shahaboddin

“…Hydrological drought forecasting plays a substantial role in water resources management. Hydrological drought highly affects the water allocation and…”
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Ensemble models with uncertainty analysis for multi-day ahead forecasting of chlorophyll a concentration in coastal waters by Shamshirband, Shahaboddin, Jafari Nodoushan, Ehsan, Adolf, Jason E., Abdul Manaf, Azizah, Mosavi, Amir, Chau, Kwok-wing

“…In this study, ensemble models using the Bates-Granger approach and least square method are developed to combine forecasts of multi-wavelet artificial neural…”
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Histopathologic Oral Cancer Prediction Using Oral Squamous Cell Carcinoma Biopsy Empowered with Transfer Learning by Rahman, Atta-Ur, Alqahtani, Abdullah, Aldhafferi, Nahier, Nasir, Muhammad Umar, Khan, Muhammad Farhan, Khan, Muhammad Adnan, Mosavi, Amir

“…Oral cancer is a dangerous and extensive cancer with a high death ratio. Oral cancer is the most usual cancer in the world, with more than 300,335 deaths every…”
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