Sina Faizollahzadeh Ardabili

发表

Prediction of Combine Harvester Performance Using Hybrid Machine Learning Modeling and Response Surface Methodology

Annamária R. Várkonyi-Kóczy, Amir Mosavi, Tarahom Mesri Gundoshmian, 2019, Lecture Notes in Networks and Systems.

Using SVM-RSM and ELM-RSM Approaches for Optimizing the Production Process of Methyl and Ethyl Esters

Shahaboddin Shamshirband, Amir Mosavi, Timon Rabczuk, 2018, Energies.

State of the Art Survey of Deep Learning and Machine Learning Models for Smart Cities and Urban Sustainability

Amir Mosavi, Sina Faizollahzadeh Ardabili, Saeed Nosratabadi, 2019 .

Deep Learning and Machine Learning in Hydrological Processes Climate Change and Earth Systems a Systematic Review

Annamária R. Várkonyi-Kóczy, Amir Mosavi, Majid Dehghani, 2019 .

Demand prediction with machine learning models: State of the art and a systematic review of advances

Sina Faizollahzadeh Ardabili, Amir Mosavi, Shahabodin Shamshirband, 2019 .

Building Energy Information: Demand and Consumption Prediction with Machine Learning Models for Sustainable and Smart Cities

Annamária R. Várkonyi-Kóczy, Amir Mosavi, Sina Faizollahzadeh Ardabili, 2020 .

A novel enhanced exergy method in analyzing HVAC system using soft computing approaches: A case study on mushroom growing hall

Shahaboddin Shamshirband, Ali Mostafaeipour, Sina Faizollahzadeh Ardabili, 2017 .

Advances in Machine Learning Modeling Reviewing Hybrid and Ensemble Methods

Annamária R. Várkonyi-Kóczy, Amir Mosavi, Amir Mosavi, 2019, Lecture Notes in Networks and Systems.

Application of Image Processing Method and Artificial Neural Networks for Apple Grading

Sina Faizollahzadeh Ardabili, Vali Rasooli Sharabiani, Hossein Behfar, 2017 .

List of Deep Learning Models

Annamária R. Várkonyi-Kóczy, Amir Mosavi, Sina Faizollahzadeh Ardabili, 2019, Lecture Notes in Networks and Systems.

Coronavirus Disease (COVID-19) Global Prediction Using Hybrid Artificial Intelligence Method of ANN Trained with Grey Wolf Optimizer

Annamária R. Várkonyi-Kóczy, Amir Mosavi, Sina Faizollahzadeh Ardabili, 2020 .

State of the Art of Machine Learning Models in Energy Systems, a Systematic Review

Shahaboddin Shamshirband, Amir Mosavi, Timon Rabczuk, 2019, Energies.

Simulation of Control System in Environment of Mushroom Growing Rooms using Fuzzy Logic Control - TI Journals

Asghar Mahmoudi, Tarahom Mesri Gundoshmian, Sina Faizollahzadeh Ardabili, 2016 .

Modeling and simulation controlling system of HVAC using fuzzy and predictive (radial basis function, RBF) controllers

Asghar Mahmoudi, Tarahom Mesri Gundoshmian, Sina Faizollahzadeh Ardabili, 2016 .

State of the Art Survey of Deep Learning and Machine Learning Models for Smart Cities and Urban Sustainability

Amir Mosavi, Sina Faizollahzadeh Ardabili, Saeed Nosratabadi, 2019, Lecture Notes in Networks and Systems.

Review of Soft Computing Models in Design and Control of Rotating Electrical Machines

Shahaboddin Shamshirband, Adrienn Dineva, Amir Mosavi, 2019, SSRN Electronic Journal.

Modeling and comparison of fuzzy and on/off controller in a mushroom growing hall

Asghar Mahmoudi, Tarahom Mesri Gundoshmian, Sina Faizollahzadeh Ardabili, 2016 .

Application of ANNs, ANFIS and RSM to estimating and optimizing the parameters that affect the yield and cost of biodiesel production

Shahaboddin Shamshirband, Kwok-wing Chau, Timon Rabczuk, 2018 .

Limiting factors for the use of palm oil biodiesel in a diesel engine in the context of the ASTM standard

Shahaboddin Shamshirband, Sina Faizollahzadeh Ardabili, Bahman Najafi, 2017 .

Modelling Temperature Variation of Mushroom Growing Hall Using Artificial Neural Networks

Annamária R. Várkonyi-Kóczy, Asghar Mahmoudi, Amir Mosavi, 2019, Lecture Notes in Networks and Systems.

An Intelligent Artificial Neural Network-Response Surface Methodology Method for Accessing the Optimum Biodiesel and Diesel Fuel Blending Conditions in a Diesel Engine from the Viewpoint of Exergy and Energy Analysis

Shahaboddin Shamshirband, Amir Mosavi, Timon Rabczuk, 2018 .

Systematic Review of Deep Learning and Machine Learning Models in Biofuels Research

Annamária R. Várkonyi-Kóczy, Sina Faizollahzadeh Ardabili, Amir Mosavi, 2019 .

Fuzzy logic method for the prediction of cetane number using carbon number, double bounds, iodic, and saponification values of biodiesel fuels

Shahaboddin Shamshirband, Sina Faizollahzadeh Ardabili, Bahman Najafi, 2019, Environmental Progress & Sustainable Energy.