Article
Thermodynamics
Akbar Maleki, Arman Haghighi, Misagh Irandoost Shahrestani, Zahra Abdelmalek
Summary: In this study, GMDH and multilayer perceptron artificial neural networks were used to determine the thermal conductivity of nanofluids containing silica particles and different base fluids. The models showed good agreement with experimental results, with R2 values reaching up to 0.9998.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2021)
Article
Thermodynamics
Ali Sohani, Siamak Hoseinzadeh, Saman Samiezadeh, Ivan Verhaert
Summary: An enhanced design for a solar still desalination system was employed to develop artificial neural network (ANN) models, with FF and RBF types identified as the best structures for predicting distillate production and water temperature. Error analysis on data not used for ANN model development showed varying errors in different months.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2022)
Article
Thermodynamics
Gholamhossein Sodeifian, Zahra Niazi
Summary: This study introduced a model based on artificial neural network for predicting CO2 absorption by nanofluids in a closed vessel absorber system for the first time. The experimental results demonstrated the model's good accuracy and performance in predicting CO2 absorption.
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
(2021)
Article
Thermodynamics
B. Paknezhad, M. Vakili, M. Bozorgi, M. Hajialibabaie, M. Yahyaei
Summary: The study predicts the thermal conductivity of silver nanofluid coated with PVP using a combinational model of multilayer perceptron artificial neural network and genetic algorithm, showing high accuracy and reliability.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2021)
Article
Biotechnology & Applied Microbiology
Xiangmeng Ma, Yunlei Guan, Rui Mao, Simi Zheng, Qun Wei
Summary: The study demonstrated the successful prediction of Pb2+ removal efficiency by Scenedesmus obliquus using a backpropagation neural network model, showcasing the potential of this method in microalgal adsorption experimental design and data validation.
ENVIRONMENTAL TECHNOLOGY & INNOVATION
(2021)
Article
Chemistry, Physical
Jin-Xun Liu, Shawn Lu, Shiuan-Bai Ann, Suljo Linic
Summary: Machine learning-augmented density functional theory calculations were used to evaluate the stability of various AgO(x) structures under catalytic ethylene epoxidation reaction conditions. Multiple AgO(x) surface motifs were found to co-exist, including Ag surface oxides and atomic oxygen-covered Ag(111) surfaces. The energetics of different reaction mechanisms involving ethylene and oxygen were analyzed, revealing viable pathways for ethylene epoxidation. Microkinetic modeling showed that the reaction could occur on all surfaces and involve multiple mechanisms.
Article
Green & Sustainable Science & Technology
Dan Zhang, Jiagen Ye
Summary: This paper investigates the various wavelengths of solar radiation and the working principle of a flat-plate solar collector. The experimental results show that applying a magnetic field and changing the frequency have an effect on the heating generation power of magnetic nanoparticles.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Automation & Control Systems
Samaneh Hamedi, Hamed Dehdashti Jahromi, Ahmad Lotfiani
Summary: In this paper, a method using artificial neural networks (ANNs) to predict the output electrical signal of biosensors is proposed. By assuming electrical current as outputs, and the refractive index of biosamples, central wavelength (lambda), and full width half maximum (FWHM) of input light source as inputs, a multilayer perceptron model is developed. A comparative approach between finite-difference time-domain (FDTD) method and ANN results is used to evaluate the biosensor's ANN model. The results show that the developed ANN model can accurately predict the output with a small mean square error (MSE) of about 2.9 x 10(-8) as the evaluation parameter. Pre-optimization is performed using the developed model to find the optimum conditions for electrical sensitivity and responsivity.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Environmental Sciences
Vinh D. Nguyen, Hoa T. H. Nguyen, Valerie Vranova, Linh T. N. Nguyen, Quy M. Bui, Tam T. Khieu
Summary: This study involved the synthesis of AKNPs using microwave technology for CR dye adsorption. ANN analysis identified the optimal model for predicting adsorption behavior, showing consistency between experimental and predicted data.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Agricultural Engineering
Sema Dogmaz, Levent Cavas
Summary: Green synthesized silver nanoparticles were utilized to produce biohydrogen from the biomass of Ulva lactuca, a marine green seaweed. Optimum conditions for silver nanoparticle production and biohydrogen production were determined, and an artificial neural network model was used to analyze these parameters. This study provides recommendations for producing biohydrogen from waste algae and reducing carbon emissions for a better environment and future.
BIORESOURCE TECHNOLOGY
(2023)
Article
Energy & Fuels
Byoung-Hwa Lee, Viet Thieu Trinh, Hyeong-Bin Moon, Ji-Hwan Lee, Hyeong-Tae Kim, Jin-Wook Lee, Chung-Hwan Jeon
Summary: This study investigated the physicochemical properties, thermal degradation behavior, and thermodynamic analysis of Petcoke fuel. The results showed that it is a less reactive fuel with low pore volume and predominantly inorganic graphitic carbon. The study also examined its pyrolysis performance and developed an artificial neural network model to simulate the thermal degradation behavior.
Article
Materials Science, Multidisciplinary
Hooman Dadras, Amir Teimouri, Reza Barbaz-Isfahani, Saeed Saber-Samandari
Summary: In this study, indentation tests were carried out to investigate the mechanical properties of pure and glass fiber reinforced polymer (GFRP) composites incorporated with nanosilica and nanoclay. The results showed that adding nanoparticles, especially nanoclay, mitigated the reduction in mechanical properties caused by acid immersion. Conversely, nanosilica increased the plasticity index and accelerated degradation.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2023)
Article
Engineering, Mechanical
Julian N. Heidenreich, Maysam B. Gorji, Dirk Mohr
Summary: The use of micromechanics and homogenization theory allows for predicting the effective mechanical properties of materials based on microstructural information. The microstructural information is encoded in images using convolutional neural networks (CNN), through which geometric information is reduced to ten characteristic features. A fully connected neural network model is introduced to predict the effective yield surfaces based on the encoded information, resulting in a computationally efficient CNN-FCNN model.
INTERNATIONAL JOURNAL OF PLASTICITY
(2023)
Article
Chemistry, Physical
Adrian Gil-Korilis, Mihail Cojocaru, Melibea Berzosa, Carlos Gamazo, Natalia J. Andrade, Katia J. Ciuffi
Summary: This study focused on the synthesis of silver nanoparticles and their antibacterial activity. The use of nitric acid to adjust the pH during synthesis produced larger and more varied particle sizes. The silver nanoparticles were successfully loaded onto clay minerals and exhibited strong antibacterial effects. Additionally, the cytotoxicity of the silver-loaded samples was found to be low.
APPLIED CLAY SCIENCE
(2023)
Article
Environmental Sciences
Jizhong Meng, Arong, Shoujun Yuan, Wei Wang, Juliang Jin, Xinmin Zhan, Liwen Xiao, Zhen-Hu Hu
Summary: This study investigated the photodegradation behavior of Roxarsone (ROX) in aquatic environment, finding that the degradation efficiency was significantly influenced by light intensity but minimally affected by temperature and pH. A photodegradation model for ROX was developed using artificial neural network technology, with predicted degradation rates closely matching real values.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Mathematical & Computational Biology
Parvaneh Shabanzadeh, Rubiyah Yusof
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE
(2015)
Article
Engineering, Multidisciplinary
Shidrokh Goudarzi, Wan Haslina Hassan, Mohammad Hossein Anisi, Seyed Ahmad Soleymani, Parvaneh Shabanzadeh
MATHEMATICAL PROBLEMS IN ENGINEERING
(2015)
Article
Chemistry, Multidisciplinary
Parvaneh Shabanzadeh, Rubiyah Yusof, Kamyar Shameli, Hajar Khanehzaei
RESEARCH ON CHEMICAL INTERMEDIATES
(2016)
Article
Polymer Science
Mohamed Mahmoud Nasef, Seyedeh Sara Alinezhad, Ramli Mat, Parvaneh Shabanzadeh, Rubiyah Yusof, Masoumeh Zakeri, Hamdy Farag
JOURNAL OF MACROMOLECULAR SCIENCE PART A-PURE AND APPLIED CHEMISTRY
(2016)
Article
Chemistry, Multidisciplinary
Kamyar Shameli, Mansor Bin Ahmad, Parvaneh Shabanzadeh, Emad A. Jaffar Al-Mulla, Ali Zamanian, Yadollah Abdollahi, Seyed Davoud Jazayeri, Mahboobeh Eili, Farid Azizi Jalilian, Rafiuz Zaman Haroun
RESEARCH ON CHEMICAL INTERMEDIATES
(2014)
Article
Chemistry, Multidisciplinary
Kamyar Shameli, Mansor Bin Ahmad, Emad A. Jaffar Al-Mulla, Parvaneh Shabanzadeh, Samira Bagheri
RESEARCH ON CHEMICAL INTERMEDIATES
(2015)
Article
Chemistry, Multidisciplinary
Parvaneh Shabanzadeh, Norazak Senu, Kamyar Shameli, Fudziah Ismail, Ali Zamanian, Maryam Mohagheghtabar
RESEARCH ON CHEMICAL INTERMEDIATES
(2015)
Article
Nanoscience & Nanotechnology
Parvaneh Shabanzadeh, Rubiyah Yusof, Kamyar Shameli, Abdollah Hajalilou, Shidrokh Goudarzi
JOURNAL OF NANOMATERIALS
(2019)
Article
Energy & Fuels
Leila Ezzatzadegan, Rubiyah Yusof, Noor Azian Morad, Parvaneh Shabanzadeh, Nur Syuhana Muda, Tohid N. Borhani
Summary: This study conducted mechanical processing and pre-treatment on oil palm trunk before fermentation, and developed a model to predict bioethanol production. Analysis of the composition of oil palm trunk sap was done using HPLC and GC, with the experimental results showing that the model could help identify the optimal conditions for bioethanol production. Sensitivity analysis techniques were also used to identify the most effective parameters in the bioethanol process.
Proceedings Paper
Automation & Control Systems
Parvaneh Shabanzadeh, Rubiyah Yusof
2015 10TH ASIAN CONTROL CONFERENCE (ASCC)
(2015)
Article
Chemistry, Multidisciplinary
Parvaneh Shabanzadeh, Rubiyah Yusof, Kamyar Shameli
Article
Nanoscience & Nanotechnology
Kamyar Shameli, Mansor Bin Ahmad, Saeid Abedini Khorramie, Roshanak Lotfi, Ali Zamanian, Parvaneh Shabanzadeh
DIGEST JOURNAL OF NANOMATERIALS AND BIOSTRUCTURES
(2013)
Article
Materials Science, Multidisciplinary
K. Shameli, M. Bin Ahmad, S. A. Khorramie, M. A. Baghchesara, R. Lotfi, P. Shabanzadeh
CHALCOGENIDE LETTERS
(2013)
Article
Nanoscience & Nanotechnology
Parvaneh Shabanzadeh, Norazaksenu, Kamyar Shameli, Fudziah Ismail, Maryam Mohagheghtabar
DIGEST JOURNAL OF NANOMATERIALS AND BIOSTRUCTURES
(2013)
