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Browsing Brage NMBU by Author "Mosavi, Amirhosein"

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Now showing items 1-20 of 29

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    • A novel comprehensive evaluation method for estimating the bank profile shape and dimensions of stable channels using the maximum entropy principle 

      Bonakdari, Hossein; Gholami, Azadeh; Mosavi, Amirhosein; Kazemian-Kale-Kale, Amin; Ebtehaj, Isa; Azimi, Amir Hossein (Peer reviewed; Journal article, 2020)
    • Agricultural Risk Management Using Fuzzy TOPSIS Analytical Hierarchy Process (AHP) and Failure Mode and Effects Analysis (FMEA) 

      Zandi, Peyman; Rahmani, Mohammad; Khanian, Mojtaba; Mosavi, Amirhosein (Peer reviewed; Journal article, 2020)
    • Assessing the Influence of Soil Quality on Rainfed Wheat Yield 

      Nabiollahi, Kamal; Heshmat, Eskandari; Mosavi, Amirhosein; Kerry, Ruth; Zeraatpisheh, Mojtaba; Taghizadeh-Mehrjardi, Ruhollah (Peer reviewed; Journal article, 2020)
      Soil quality assessment based on crop yields and identification of key indicators of it can be used for better management of agricultural production. In the current research, the weighted additive soil quality index (SQIw), ...
    • Combination of Group Method of Data Handling (GMDH) and Computational Fluid Dynamics (CFD) for Prediction of Velocity in Channel Intake 

      Mosavi, Amirhosein (Peer reviewed; Journal article, 2020)
      This paper utilizes computational fluid dynamics as well as a group method of data handling (GMDH) method to predict the mean velocity of intake. Firstly, the three dimensional flow pattern in a 90-degree intake is simulated ...
    • Comparative Analysis of Machine Learning Models for Nanofluids Viscosity Assessment 

      Shateri, Mohammadhadi; Sobhanigavgani, Zeinab; Alinasab, Azin; Varamesh, Amir; Hemmati-Saraparde, Abdolhossein; Mosavi, Amirhosein; Band, Shahab (Peer reviewed; Journal article, 2020)
      The process of selecting a nanofluid for a particular application requires determining the thermophysical properties of nanofluid, such as viscosity. However, the experimental measurement of nanofluid viscosity is expensive. ...
    • A comparative analysis on diagnosis of diabetes mellitus using different approaches -A survey 

      Anwar, Fareeha; Qurat-, Ul-Ain; Ejaz, Muhammad Yasir; Mosavi, Amirhosein (Peer reviewed; Journal article, 2020)
      Diabetes Mellitus is commonly known as diabetes. It is one of the most chronic diseases as the World Health Organization (WHO) report shows that the number of diabetes patients has risen from 108 million to 422 million in ...
    • COVID-19 Outbreak Prediction with Machine Learning 

      Mosavi, Amirhosein (Peer reviewed; Journal article, 2020)
      Abstract: Several outbreak prediction models for COVID-19 are being used by officials around the world to make informed decisions and enforce relevant control measures. Among the standard models for COVID-19 global pandemic ...
    • Derivation of Optimized Equations for Estimation of Dispersion Coefficient in Natural Streams Using Hybridized ANN With PSO and CSO Algorithms 

      Riahi Madvar, Hossien; Dehghani, Majid; Memarzadeh, Rasoul; Salwana, Ely; Mosavi, Amirhosein (Peer reviewed; Journal article, 2020)
    • Design of Adaptive-Robust Controller for Multi-State Synchronization of Chaotic Systems with Unknown and Time-Varying Delays and Its Application in Secure Communication 

      Javan, Ali Akbar Kekha; Shoeibi, Afshin; Zare, Assef; Hosseini Izadi, Navid; Jafari, Mahboobeh; Alizadehsani, Roohallah; Moridian, Parisa; Mosavi, Amirhosein; Acharya, U. Rajendra; Nahavandi, Saeid (Peer reviewed; Journal article, 2021)
    • Early Detection of the Advanced Persistent Threat Attack Using Performance Analysis of Deep Learning 

      Joloudari, Javad Hassannataj; Haderbadi, Mojtaba; Mashmool, Amir; Ghasemigol, Mohammad; Band, Shahab; Mosavi, Amirhosein (Peer reviewed; Journal article, 2020)
      One of the most common and critical destructive attacks on the victim system is the advanced persistent threat (APT)-attack. An APT attacker can achieve its hostile goal through obtaining information and gaining financial ...
    • Flash Flood Susceptibility Modeling Using New Approaches of Hybrid and Ensemble Tree-Based Machine Learning Algorithms 

      Band, Shahab; Janizadeh, Saeid; Chandra Pal, Subodh; Saha, Asish; Chakrabortty, Rabin; Melesse, Assefa M.; Mosavi, Amirhosein (Peer reviewed; Journal article, 2020)
    • Flood Prediction Using Machine Learning Models: Literature Review 

      Mosavi, Amirhosein; Ozturk, Pinar; Chau, Kwok-Wing (Journal article; Peer reviewed, 2018)
    • How parks provide thermal comfort perception in the metropolitan cores; a case study in Madrid Mediterranean climatic zone 

      Aram, Farshid; Solgi, Ebrahim; Baghaee, Sepideh; García, Ester Higueras; Mosavi, Amirhosein; Band, Shahab (Journal article, 2020)
    • Leader cultural intelligence and organizational performance 

      Nosratabadi, Saeed; Parvaneh, Bahrami; Khodayar, Palouzian; Mosavi, Amirhosein (Peer reviewed; Journal article, 2020)
      One of the challenges for international companies is to manage multicultural environments effectively. Cultural intelligence (CQ) is a soft skill required of the leaders of organizations working in cross-cultural contexts ...
    • A Lightweight Genetic Based Algorithm for Data Security in Wireless Body Area Networks 

      Jabeen, Tallat; Ashraf, Humaira; Khatoon, Asma; Band, Shahab; Mosavi, Amirhosein (Peer reviewed; Journal article, 2020)
      T The new generation of wireless body area networks (WBAN) for the internet of things (IoT) is emerging in a fast-paced. Today patients can be tested using remote clinical nanosensors. WBAN involves small interconnected ...
    • Machine Learning for Prediction of Energy in Wheat Production 

      Mostafaeipour, Ali; Fakhrzad, Mohammad Bagher; Gharaat, Sajad; Jahangiri, Mehdi; Dhanraj, Joshuva Arockia; Band, Shahab; Issakhov, Alibek; Mosavi, Amirhosein (Peer reviewed; Journal article, 2020)
      The global population growth has led to a considerable rise in demand for wheat. Today, the amount of energy consumption in agriculture has also increased due to the need for sufficient food for the growing population. ...
    • Modeling of carbon dioxide solubility in ionic liquids based on group method of data handling 

      Moosanezhad-Kermani, Hamed; Rezaei, Farzaneh; Hemmati-Saraparde, Abdolhossein; Band, Shahab; Mosavi, Amirhosein (Peer reviewed; Journal article, 2021)
    • Monthly streamflow prediction using a hybrid stochastic-deterministic approach for parsimonious non-linear time series modeling 

      Wang, Zhen; Fathollahzadeh Attar, Nasrin; Khalili, Keivan; Behmanesh, Javad; Band, Shahab; Mosavi, Amirhosein; Chau, Kwok-Wing (Peer reviewed; Journal article, 2020)
    • Optimal Type-3 Fuzzy System for Solving Singular Multi-Pantograph Equations 

      MA, CHAO; Mohammadzadeh, ARDASHIR; TURABIEH, HAMZA; MAFARJA, MAJDI; Band, Shahab; Mosavi, Amirhosein (Peer reviewed; Journal article, 2020)
      In this study a new machine learning technique is presented to solve singular multi-pantograph differential equations (SMDEs). A new optimized type-3 fuzzy logic system (T3-FLS) by unscented Kalman filter (UKF) is proposed ...
    • Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis 

      NABIPOUR, MOJTABA; NAYYERI, POOYAN; JABANI, HAMED; Shahab, S; Mosavi, Amirhosein (Peer reviewed; Journal article, 2020)

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