S. Ardabili

发表

Development of a Modified Kinetic Method for Modelling of Biogas Produced from Biomass

K. Chau, B. Najafi, S. Ardabili, 2019 .

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 .

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 .

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.

Experimental and computational fluid dynamics-based numerical simulation of using natural gas in a dual-fueled diesel engine

K. Chau, Shahaboddin Shamshirband, B. Najafi, 2018 .

Computational intelligence approach for modeling hydrogen production: a review

R. Deo, K. Chau, Shahaboddin Shamshirband, 2018 .

Biodegradation of medicinal plants waste in an anaerobic digestion reactor for biogas production

T. Rabczuk, Shahaboddin Shamshirband, A. Mosavi, 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 .

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

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

Effects of low-level hydroxy as a gaseous additive on performance and emission characteristics of a dual fuel diesel engine fueled by diesel/biodiesel blends

K. Chau, A. Mosavi, B. Najafi, 2021, Engineering Applications of Computational Fluid Mechanics.

Ethyl ester production from Iranian bitter almond (BAO) oil to improve the performance and emissions of OM457 diesel engine

B. Najafi, S. Ardabili, L. Ariyanfar, 2020, Renewable Energy Focus.

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 .

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

T. Rabczuk, Amir Mosavi, Shamshirband, 2020 .

A Survey on Machine Learning and Internet of Medical Things-Based Approaches for Handling COVID-19: Meta-Analysis

Arthur W. Chang, Shahab S. Band, M. Moslehpour, 2022, Frontiers in Public Health.

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

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

Integration of neural network and fuzzy logic decision making compared with bilayered neural network in the simulation of daily dew point temperature

Shahab S. Band, K. Chau, Amir Mosavi, 2022, Engineering Applications of Computational Fluid Mechanics.

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

Amir Mosavi, A. Várkonyi-Kóczy, S. Ardabili, 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.

Colonial competitive evolutionary Rao algorithm for optimal engineering design

Amir Seyed Danesh, S. Ardabili, S. Band, 2022, Alexandria Engineering Journal.

When Smart Cities Get Smarter via Machine Learning: An In-depth Literature Review

Shahab S. Band, M. Sookhak, Hao-Ting Pai, 2022, IEEE Access.

Autonomous Robotic System for Pumpkin Harvesting

Amir Mosavi, N. Noguchi, S. Ardabili, 2022, Agronomy.

Modeling the Producibility of 3D Printing in Polylactic Acid Using Artificial Neural Networks and Fused Filament Fabrication

A. Mosavi, S. Ardabili, M. Bodaghi, 2021, Polymers.

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.

Modelling Temperature Variation of Mushroom Growing Hall Using Artificial Neural Networks

Asghar Mahmoudi, Amir Mosavi, Tarahom Mesri Gundoshmian, 2019, 2010.02673.

COVID-19 Outbreak Prediction with Machine Learning

A. MOSAVI, P. Ghamisi, T. Rabczuk, 2020, medRxiv.

Prediction of Food Production Using Machine Learning Algorithms of Multilayer Perceptron and ANFIS

Amir Mosavi, Sina Ardabili, Saeed Nosratabadi, 2021, Agriculture.

Feasibility of soft computing techniques for estimating the long-term mean monthly wind speed

Amir Mosavi, M. Moslehpour, S. Ardabili, 2022, Energy Reports.

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.

Survey of computational intelligence as basis to big flood management: challenges, research directions and future work

Md. Jalil Piran, K. Chau, Shahaboddin Shamshirband, 2018 .

Sustainable Solutions for the Global South in a Post-Pandemic World

A. Mosavi, S. Ardabili, Kelechi E. Anyaoha, 2021 .

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

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

Systematic Review of Deep Learning and Machine Learning for Building Energy

S. Ardabili, C. Mako, Bernat Torok, 2022, Frontiers in Energy Research.

Computational Analysis of the Effect of Balancer on the Vibration Performance of the Engine: Experimental and Simulation

Gholamhossein Shahgholi, Amir Mosavi, S. Ardabili, 2022, Acta Polytechnica Hungarica.

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

Shahab S. Band, A. Várkonyi-Kóczy, S. Ardabili, 2020, 2020 IEEE 3rd International Conference and Workshop in Óbuda on Electrical and Power Engineering (CANDO-EPE).

Machine Learning and Internet of Medical Things for Handling COVID-19: Meta-Analysis

Shahab S. Band, Amir Mosavi, S. Ardabili, 2022 .

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 .

List of Deep Learning Models

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

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

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

Training Multilayer Perceptron with Genetic Algorithms and Particle Swarm Optimization for Modeling Stock Price Index Prediction

Fatih Ecer, Sina Ardabili, Amir Mosavi, 2020, Entropy.

The effect of thermochemical pre-treatment on biogas production efficiency from kitchen waste using a novel lab scale digester

R. Abdi, B. Najafi, S. Ardabili, 2019, Renewable Energy Focus.

Environmental impact assessment of the mechanical shaft work produced in a diesel engine running on diesel/biodiesel blends containing glycerol-derived triacetin

Mortaza Aghbashlo, Meisam Tabatabaei, Pouya Mohammadi, 2019, Journal of Cleaner Production.

Comparative Analysis of Single and Hybrid Neuro-Fuzzy-Based Models for an Industrial Heating Ventilation and Air Conditioning Control System pdf

Amir Mosavi, Imre Felde, Sina Ardabili, 2020, 2020 RIVF International Conference on Computing and Communication Technologies (RIVF).

Machine Learning in Heat Transfer: Taxonomy, Review and Evaluation

Amir Mosavi, S. Ardabili, I. Felde, 2023, 2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI).

Optimization of performance and emission of compression ignition engine fueled with propylene glycol and biodiesel–diesel blends using artificial intelligence method of ANN-GA-RSM

A. Mosavi, B. Najafi, S. Ardabili, 2021, Engineering Applications of Computational Fluid Mechanics.

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.

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.

Hybrid Machine Learning Models for Crop Yield Prediction pdf

Amir Mosavi, Imre Felde, Sina Ardabili, 2020, ArXiv.

Sustainable Biomethane Production from Sewage Sludge and Wheat Straw Co-Digestion in the Presence of Polypyrrole Fe3O4 Nanoparticles and Alkaline Pretreatment: Life Cycle Assessment Point of View

R. Pourdarbani, S. Ardabili, Mario Hernández-Hernández, 2023, Acta Technologica Agriculturae.

Performance Analysis of Combine Harvester using Hybrid Model of Artificial Neural Networks Particle Swarm Optimization pdf

Amir Mosavi, Tarahom Mesri Gundoshmian, Imre Felde, 2020, 2020 RIVF International Conference on Computing and Communication Technologies (RIVF).

Comparative Analysis of ANN-ICA and ANN-GWO for Crop Yield Prediction

Amir Mosavi, Imre Felde, Sina Ardabili, 2020, 2020 RIVF International Conference on Computing and Communication Technologies (RIVF).

The Effect of Biodiesel, Ethanol, and Water on the Performance and Emissions of a Dual-Fuel Diesel Engine with Natural Gas: Sustainable Energy Production through a Life Cycle Assessment Approach

Amir Mosavi, B. Najafi, S. Ardabili, 2023, International Journal of Energy Research.

Life Cycle Assessment of a Hybrid Self-Power Diesel Engine

J. L. Hernández-Hernández, R. Pourdarbani, S. Ardabili, 2023, Acta Technologica Agriculturae.

Exergo-Environmental Optimization of a Diesel Engine

J. L. Hernández-Hernández, R. Pourdarbani, S. Ardabili, 2022, Acta Technologica Agriculturae.

Deep learning for 5G and 6G

S. Ardabili, I. Felde, Amir H. Mosavi, 2023, International Symposium on Applied Computational Intelligence and Informatics.