no code implementations • 1 Nov 2022 • Hamid Reza Safaeyan, Karim Zare, Mohamad R. Mahmoudi, Amir Mosavi
In this paper, an MFA model with a rich and flexible class of skew normal (unrestricted) generalized hyperbolic (called SUNGH) distributions along with a Bayesian structure with several computational benefits have been introduced.
no code implementations • 17 Sep 2022 • Elham Azhir, Mehdi Hosseinzadeh, Faheem Khan, Amir Mosavi
Apache Spark and Apache Hadoop frameworks are used in the present investigation to cluster different sizes of query datasets in the MapReduce-based access plan recommendation method.
no code implementations • 16 Sep 2022 • Abdur Rehman, Sagheer Abbas, M. A. Khan, Taher M. Ghazal, Khan Muhammad Adnan, Amir Mosavi
The purpose of this study is to construct a secure health monitoring system in healthcare 5. 0 by utilizing a blockchain technology and Intrusion Detection System (IDS) to detect any malicious activity in a healthcare network and enables physicians to monitor patients through medical sensors and take necessary measures periodically by predicting diseases.
no code implementations • 16 Sep 2022 • Golnaz Mirzakhani, Elham Ghanbari-Adivi, Rohollah Fattahi, Mohammad Ehteram, Amir Mosavi, Ali Najah Ahmed, Ahmed El-Shafieg
Additionally, this study demonstrated that vegetation cover decreased sediment transport rate by 90 percent.
no code implementations • 24 Aug 2022 • Mohammadreza Sabzehali, Amir Hossein Rabieeb, Mahdi Alibeigia, Amir Mosavi
Based on the results obtained in the first phase, to model the thermodynamic performance of the aforementioned engine cycle, Flight-Mach number and flight altitude are considered to be 2. 5 and 30, 000 m, respectively; due to the operational advantage of supersonic flying at high altitude flight conditions, and the higher thrust of hydrogen fuel.
no code implementations • 14 Aug 2022 • Mohammadreza Sabzehali, Somayeh Davoodabadi Farahani, Amir Mosavi
In on design conditions, entropy generation rate, nitrogen oxide production rate, and TSFC for the chosen cycle based on the economic approach +18. 89 percent, +10. 01 percent, and -0. 21percent, respectively, and based on the exero-environmental approach -54. 03percent, -42. 02percent, and +21. 44percent change compared to the base engine, respectively.
no code implementations • 16 Jun 2022 • Mohammadreza Mahmoudi, Amir Mosavi
Detection of the relationship between two time series is so important in environmental and hydrological studies.
no code implementations • 12 Apr 2022 • Mahsa Dehghan Manshadi, Nima Alafchi, Alireza Taat, Milad Mousavi, Amir Mosavi
A recent study derived the combined heat transfers and their temperature profiles for the PMMA sample.
no code implementations • 12 Apr 2022 • Weibin Chen, Danial Sharifrazi, Guoxi Liang, Shahab S. Band, Kwok Wing Chau, Amir Mosavi
Streamlined weirs which are a nature-inspired type of weir have gained tremendous attention among hydraulic engineers, mainly owing to their established performance with high discharge coefficients.
no code implementations • 23 Feb 2022 • Guodao Zhang, Shahab S. Band, Sina Ardabili, Kwok-wing Chau, Amir Mosavi
Whilst the ANFIS model is extremely stable for almost all numbers of membership functions, the BNN model is highly sensitive to this scale factor to predict DPT.
no code implementations • 23 Jul 2021 • Javad Hassannataj Joloudari, Faezeh Azizi, Mohammad Ali Nematollahi, Roohallah Alizadehsani, Edris Hassannataj, Amir Mosavi
One of the alternative solutions is the use of machine learning-based patterns for CAD diagnosis.
no code implementations • 5 Jul 2021 • Javad Hassannataj Joloudari, Sanaz Mojrian, Issa Nodehi, Amir Mashmool, Zeynab Kiani Zadegan, Sahar Khanjani Shirkharkolaie, Roohallah Alizadehsani, Tahereh Tamadon, Samiyeh Khosravi, Mitra Akbari Kohnehshari, Edris Hassannatajjeloudari, Danial Sharifrazi, Amir Mosavi, Hui Wen Loh, Ru-San Tan, U Rajendra Acharya
Artificial intelligence-based methods can be utilized to screen for or diagnose MI automatically using ECG signals.
no code implementations • 29 Apr 2021 • Saeed Nosratabadi, Sina Ardabili, Zoltan Lakner, Csaba Mako, Amir Mosavi
First, 70% of this data was used to train ANFIS and MLP, and the remaining 30% of the data was used to test the models.
no code implementations • 29 Apr 2021 • Musaab Mousa, Saeed Nosratabadi, Judit Sagi, Amir Mosavi
Since a firm's ownership concentration is a determinant factor in firm value and systematic risk, this variable is considered a moderated variable in the relationship between marketing investment and firm value and systematic risk.
no code implementations • 28 Apr 2021 • Nooshin Ayoobi, Danial Sharifrazi, Roohallah Alizadehsani, Afshin Shoeibi, Juan M. Gorriz, Hossein Moosaei, Abbas Khosravi, Saeid Nahavandi, Abdoulmohammad Gholamzadeh Chofreh, Feybi Ariani Goni, Jiri Jaromir Klemes, Amir Mosavi
This study is novel as it carries out a comprehensive evaluation of the aforementioned three deep learning methods and their bidirectional extensions to perform prediction on COVID-19 new cases and new death rate time series.
no code implementations • 6 Apr 2021 • Sepideh Baghaee, Saeed Nosratabadi, Farshid Aram, Amir Mosavi
Accordingly, two hypotheses were raised illustrating that the travel time (i. e., the time it takes for a customer to reach the retail center) and the variety of shops (in a retail center) increase the percentage of people who spend their leisure time and recreational activities retail centers.
no code implementations • 6 Mar 2021 • Babak Lashkar-Ara, Niloofar Kalantari, Zohreh Sheikh Khozani, Amir Mosavi
The results of the sensitivity analysis show that the most influential parameter for the SSD in a smooth rectangular channel is the dimensionless parameter B/H, Where the transverse coordinate is B, and the flow depth is H. With the parameters (b/B), (B/H) for the bed and (z/H), (B/H) for the wall as inputs, the modeling of the GP was better than the other one.
no code implementations • 4 Mar 2021 • Hossein Moayedi, Amir Mosavi
Surmounting the complexities in analyzing the mechanical parameters of concrete entails selecting an appropriate methodology.
no code implementations • 13 Feb 2021 • Aliakbar Narimani, Mahdi Moghimi, Amir Mosavi
In large infrastructures such as dams, which have a relatively high economic value, ensuring the proper operation of the associated hydraulic facilities in different operating conditions is of utmost importance.
no code implementations • 13 Feb 2021 • Hossein Moayedi, Amir Mosavi
The significance of heating load (HL) accurate approximation is the primary motivation of this research to distinguish the most efficient predictive model among several neural-metaheuristic models.
no code implementations • 19 Sep 2020 • Javad Hassannataj Joloudari, Mojtaba Haderbadi, Amir Mashmool, Mohammad GhasemiGol, Shahab S., Amir Mosavi
One of the most common and important destructive attacks on the victim system is Advanced Persistent Threat (APT)-attack.
no code implementations • 13 Sep 2020 • Randall Claywell, Laszlo Nadai, Felde Imre, Amir Mosavi
The accurate prediction of the solar Diffuse Fraction (DF), sometimes called the Diffuse Ratio, is an important topic for solar energy research.
no code implementations • 12 Jul 2020 • Mostafa Emadi, Ruhollah Taghizadeh-Mehrjardi, Ali Cherati, Majid Danesh, Amir Mosavi, Thomas Scholten
The SOC content was the highest in udic soil moisture regime class with mean values of 4 percent, followed by the aquic and xeric classes, respectively.
no code implementations • 7 Jul 2020 • Ali Sahragard, Hamid Falaghi, Mahdi Farhadi, Amir Mosavi, Abouzar Estebsari
The purpose of GEP is to enhance construction planning and reduce the costs of installing different types of power plants.
no code implementations • 28 Jun 2020 • Akram Seifi, Mohammad Ehteram, Vijay P. Singh, Amir Mosavi
The results showed that the ANFIS-GOA was superior to the other hybrid models for predicting GWL in the first piezometer and third piezometer in the testing stage.
no code implementations • 15 Apr 2020 • Yihe Liu, Aaqif Afzaal Abbasi, Atefeh Aghaei, Almas Abbasi, Amir Mosavi, Shahab Shamshirband, Mohammed A. A. Al-qaness
Mobile cloud computing is an emerging field that is gaining popularity across borders at a rapid pace.
no code implementations • 3 Apr 2020 • Dangquan Zhang, Muhammad Aqeel Ashraf, Zhenling Liu, Wan-Xi Peng, Mohammad Javad Golkar, Amir Mosavi
Given the importance of controlling the position of buoys and the construction of intelligent systems, in this paper, dynamic system modeling is applied to position marine buoys through the improved neural network with a backstepping technique.
no code implementations • 31 Mar 2020 • Mojtaba Nabipour, Pooyan Nayyeri, Hamed Jabani, Amir Mosavi
This paper concentrates on the future prediction of stock market groups.
no code implementations • 21 Mar 2020 • Amir Mosavi, Pedram Ghamisi, Yaser Faghan, Puhong Duan
The popularity of deep reinforcement learning (DRL) methods in economics have been exponentially increased.
no code implementations • 19 Mar 2020 • Saeed Nosratabadi, Amir Mosavi, Puhong Duan, Pedram Ghamisi
The data science advances are investigated in three individual classes of deep learning models, ensemble models, and hybrid models.
no code implementations • 18 Mar 2020 • Saeed Nosratabadi, Gergo Pinter, Amir Mosavi, Sandor Semperger
The proposed business model components of this study were ranked in terms of their impact on achieving sustainability goals.
no code implementations • 8 Mar 2020 • Saeed Nosratabadi, Felde Imre, Karoly Szell, Sina Ardabili, Bertalan Beszedes, Amir Mosavi
Prediction of crop yield is essential for food security policymaking, planning, and trade.
no code implementations • 3 Mar 2020 • Sultan Noman Qasem, Amir Mosavi
In recent decades, attention has been directed at anemia classification for various medical purposes, such as thalassemia screening and predicting iron deficiency anemia (IDA).
no code implementations • 26 Feb 2020 • Aaqif Afzaal Abbasi, Shahab Shamshirband, Mohammed A. A. Al-qaness, Almas Abbasi, Nashat T. AL-Jallad, Amir Mosavi
This concept improves networking behavior.
no code implementations • 24 Feb 2020 • Shahab Shamshirband, Amir Mosavi, Narjes Nabipour, Kwok-wing Chau
In this regard, EC-EARTH near surface wind outputs obtained from CORDEX-MENA simulations are used for historical and future projection of the energy.
no code implementations • 22 Feb 2020 • Laszlo Nadai, Felde Imre, Sina Ardabili, Tarahom Mesri Gundoshmian, Pinter Gergo, Amir Mosavi
Novel applications of artificial intelligence for tuning the parameters of industrial machines for optimal performance are emerging at a fast pace.
no code implementations • 22 Feb 2020 • Sina Ardabili, Bertalan Beszedes, Laszlo Nadai, Karoly Szell, Amir Mosavi, Felde Imre
Hybridization of machine learning methods with soft computing techniques is an essential approach to improve the performance of the prediction models.
no code implementations • 19 Feb 2020 • Shahaboddin Shamshirband, Narjes Nabipour, Masoud Hadipoor, Alireza Baghban, Amir Mosavi
Industry uses various solvents in the processes of refrigeration and ventilation.
no code implementations • 14 Feb 2020 • Saeed Samadianfard, Sajjad Hashemi, Katayoun Kargar, Mojtaba Izadyar, Ali Mostafaeipour, Amir Mosavi, Narjes Nabipour, Shahaboddin Shamshirband
In the current study, for predicting wind speed at target stations in the north of Iran, the combination of a multi-layer perceptron model (MLP) with the Whale Optimization Algorithm (WOA) used to build new method (MLP-WOA) with a limited set of data (2004-2014).
no code implementations • 11 Feb 2020 • Mohammad Hossein Ahmadi, Alireza Baghban, Milad Sadeghzadeh, Mohammad Zamen, Amir Mosavi, Shahaboddin Shamshirband, Ravinder Kumar, Mohammad Mohammadi-Khanaposhtani
Solar energy is a renewable resource of energy that is broadly utilized and has the least emissions among renewable energies.
no code implementations • 18 Jan 2020 • Nader Karballaeezadeh, Farah Zaremotekhases, Shahaboddin Shamshirband, Amir Mosavi, Narjes Nabipour, Peter Csiba, Annamaria R. Varkonyi-Koczy
Prediction models in mobility and transportation maintenance systems have been dramatically improved through using machine learning methods.
no code implementations • 16 Jan 2020 • Javad Hassannataj Joloudari, Edris Hassannataj Joloudari, Hamid Saadatfar, Mohammad GhasemiGol, Seyyed Mohammad Razavi, Amir Mosavi, Narjes Nabipour, Shahaboddin Shamshirband, Laszlo Nadai
Among the vast number of heart diseases, the coronary artery disease (CAD) is considered as a common cardiovascular disease with a high death rate.
no code implementations • 16 Jan 2020 • Hossein Bonakdari, Isa Ebtehaj, Bahram Gharabaghi, Ali Sharifi, Amir Mosavi
This paper proposes a model based on gene expression programming for predicting the discharge coefficient of triangular labyrinth weirs.
no code implementations • 10 Jan 2020 • Amin Kazemian-Kale-Kale, Azadeh Gholami, Mohammad Rezaie-Balf, Amir Mosavi, Ahmed A Sattar, Bahram Gharabaghi, Hossein Bonakdari
We present a novel method to evaluate the uncertainty of four popular entropy models, including Shannon, Shannon-Power Low (PL), Tsallis, and Renyi, in shear stress estimation in circular channels.
no code implementations • 9 Jan 2020 • Narjes Nabipour, Amir Mosavi, Eva Hajnal, Laszlo Nadai, Shahab Shamshirband, Kwok-wing Chau
The near-surface wind data obtained from a regional climate model are employed to investigate climate change impacts on the wind power resources in the Caspian Sea.
no code implementations • 9 Jan 2020 • Shahab Shamshirband, Meisam Babanezhad, Amir Mosavi, Narjes Nabipour, Eva Hajnal, Laszlo Nadai, Kwok-wing Chau
This method can anticipate the flow characteristics in the reactor using almost 30 % of the whole data in the domain.
no code implementations • 31 Dec 2019 • Narjes Nabipour, Amir Mosavi, Alireza Baghban, Shahaboddin Shamshirband, Imre Felde
Calculating hydrocarbon components solubility of natural gases is known as one of the important issues for operational works in petroleum and chemical engineering.
no code implementations • 25 Dec 2019 • Alireza Hajipour, Arash Mirabdolah Lavasani, Mohammad Eftekhari Yazdi, Amir Mosavi, Shahaboddin Shamshirband, Kwok-wing Chau
So, drag, lift, and side forces and also minimum and a maximum of pressure coefficients for mentioned wind directions and velocity are predicted and compared using statistical parameters.
no code implementations • 20 Dec 2019 • Zohreh Sheikh Khozani, Khabat Khosravi, Mohammadamin Torabi, Amir Mosavi, Bahram Rezaei, Timon Rabczuk
Finally, the most powerful data mining method which studied in this research (RF) compared with two well-known analytical models of Shiono and Knight Method (SKM) and Shannon method to acquire the proposed model functioning in predicting the shear stress distribution.
no code implementations • 21 Nov 2019 • Amin Bemani, Alireza Baghban, Shahaboddin Shamshirband, Amir Mosavi, Peter Csiba, Annamaria R. Varkonyi-Koczy
In the present work, a novel and the robust computational investigation is carried out to estimate solubility of different acids in supercritical carbon dioxide.
no code implementations • 29 Oct 2019 • Sanaz Mojrian, Gergo Pinter, Javad Hassannataj Joloudari, Imre Felde, Narjes Nabipour, Laszlo Nadai, Amir Mosavi
The performance of the proposed model is further compared with a linear-SVM model.
no code implementations • 16 Sep 2019 • Shahaboddin Shamshirband, Masoud Hadipoor, Alireza Baghban, Amir Mosavi, Jozsef Bukor, Annamaria Varkonyi Koczy
Accurate prediction of mercury content emitted from fossil fueled power stations is of utmost important for environmental pollution assessment and hazard mitigation.
no code implementations • 7 Aug 2019 • Amir Mosavi, Pinar Ozturk, Kwok-wing Chau
Floods are among the most destructive natural disasters, which are highly complex to model.
no code implementations • 6 Aug 2019 • Husein Perez, Joseph H. M. Tah, Amir Mosavi
Clients are increasingly looking for fast and effective means to quickly and frequently survey and communicate the condition of their buildings so that essential repairs and maintenance work can be done in a proactive and timely manner before it becomes too dangerous and expensive.
no code implementations • 5 Aug 2019 • Muhammad Zubair Asghar, Fazli Subhan, Muhammad Imran, Fazal Masud Kundi, Shahboddin Shamshirband, Amir Mosavi, Peter Csiba, Annamaria R. Varkonyi-Koczy
Emotion detection from the text is an important and challenging problem in text analytics.
no code implementations • 2 Aug 2019 • Adrienn Dineva, Amir Mosavi, Mate Gyimesi, Istvan Vajda
The contribution of this work is to propose a novel methodology using multi-label classification method for simultaneously diagnosing multiple faults and evaluating the fault severity under noisy conditions.
no code implementations • 1 Aug 2019 • Sevda Shabani, Saeed Samadianfard, Mohammad Taghi Sattari, Shahab Shamshirband, Amir Mosavi, Tibor Kmet, Annamaria R. Varkonyi-Koczy
Evaporation is one of the main processes in the hydrological cycle, and it is one of the most critical factors in agricultural, hydrological, and meteorological studies.
no code implementations • 19 Jul 2019 • Shahaboddin Shamshirband, Amir Mosavi, Kwok-wing Chau
This new process of mapping inputs and outputs data provides a framework to fully understand the flow in the fluid domain in a short time of fuzzy structure calculation.
no code implementations • 26 May 2019 • Shahaboddin Shamshirband, Amir Mosavi, Timon Rabczuk
To improve the efficiency of the proposed model, individual equations are derived for laboratory and field data.
no code implementations • 26 May 2019 • Danial Mohammadzadeh, Seyed-Farzan Kazemi, Amir Mosavi, Ehsan Nasseralshariati, Joseph H. M. Tah
In construction projects, estimation of the settlement of fine-grained soils is of critical importance, and yet is a challenging task.