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Journal Articles

A profile inversion method for vertical ionograms

Longlong Niu, Liu Wen, Chen Zhou, Min Deng

AIP Advances 14, 065034 (2024)

https://doi.org/10.1063/5.0208687

Published: June 2024

View article titled, A profile inversion method for vertical ionograms

Journal Articles

Redefining structural soundness in concrete constructions: A groundbreaking technique for water–cement ratio assessment in sustainable building integrated with explainable artificial intelligence

Mahmud M. Jibril, Umar Jibrin Muhammad, Musa Adamu, Yasser E. Ibrahim, Mishal H. Aljarbou

AIP Advances 14, 065226 (2024)

https://doi.org/10.1063/5.0203867

Published: June 2024

View article titled, Redefining structural soundness in concrete constructions: A groundbreaking technique for water–cement ratio assessment in sustainable building integrated with explainable artificial intelligence

Journal Articles

Testing the auto-regressive integrated moving average approach vs the support vector machines-based model for materials forecasting to reduce inventory

T. Sathish, Sethala LaluPrasad, Shashwath Patil, Ahmed Ahmed Ibrahim, Salahuddin Khan, R. Saravanan, Jayant Giri

AIP Advances 14, 055215 (2024)

https://doi.org/10.1063/5.0208049

Published: May 2024

View article titled, Testing the auto-regressive integrated moving average approach vs the support vector machines-based model for materials forecasting to reduce inventory

Journal Articles

Advancements in predicting scour depth induced by turbulent wall jets: A comparative analysis of mathematical formulations and machine learning models

Kamalini Devi, Jnana Ranjan Khuntia, Mohd Aamir Mumtaz, Mohamed H. Elgamal, Bhabani Shankar Das

AIP Advances 14, 055008 (2024)

https://doi.org/10.1063/5.0203444

Published: May 2024

View article titled, Advancements in predicting scour depth induced by turbulent wall jets: A comparative analysis of mathematical formulations and machine learning models

Journal Articles

Spatiotemporal evaluation of five satellite-based precipitation products under the arid environment of Saudi Arabia

Abdulnoor Ali Jazem Ghanim, Muhammad Naveed Anjum, Raid Saad Alharbi, Muhammad Aurangzaib, Usama Zafar, Abdur Rehamn, Muhammad Irfan, Saifur Rahman, Salim Nasar Faraj Mursal, Saleh Alyami, Redhwan M. Algobahi, Ali Alhamami

AIP Advances 14, 045222 (2024)

https://doi.org/10.1063/5.0191924

Published: April 2024

View article titled, Spatiotemporal evaluation of five satellite-based precipitation products under the arid environment of Saudi Arabia

Journal Articles

Determining magnetic properties of high entropy alloys by molar volume difference predicted by machine learning

Min Lin, Rongzhi Zhao, Yijun Liao, Yixing Li, Xuefeng Zhang

AIP Advances 14, 045204 (2024)

https://doi.org/10.1063/5.0165470

Published: April 2024

View article titled, Determining magnetic properties of high entropy alloys by molar volume difference predicted by machine learning

Includes: Supplementary data

Journal Articles

Navigating challenges in the transition to green transportation: A perception study exploring factors influencing drivers’ intentions for electric vehicle adoption

Yasir Lashram, Abdulaziz S. Alkabaa

AIP Advances 14, 035009 (2024)

https://doi.org/10.1063/5.0194493

Published: March 2024

View article titled, Navigating challenges in the transition to green transportation: A perception study exploring factors influencing drivers’ intentions for electric vehicle adoption

Journal Articles

Improving the quality of the supersonic flow field of free-jet wind tunnels

Taiyuan Luo, Zhiqiang Huang, Xuedong Lin, Jiang Yin, Benqi Bai, Ningli Chen

AIP Advances 14, 015250 (2024)

https://doi.org/10.1063/5.0177284

Published: January 2024

View article titled, Improving the quality of the supersonic flow field of free-jet wind tunnels

Journal Articles

A data-driven approach to predict the saturation magnetization for magnetic 14:2:1 phases from chemical composition

Amit Kumar Choudhary, Dominic Hohs, Andreas Jansche, Timo Bernthaler, Dagmar Goll, Gerhard Schneider

AIP Advances 14, 015060 (2024)

https://doi.org/10.1063/5.0171922

Published: January 2024

View article titled, A data-driven approach to predict the saturation magnetization for magnetic 14:2:1 phases from chemical composition

Journal Articles

3D inversion of magnetic gradient data based on equivalent source weighting method

Shuanglong Huang, Jing Qiu, Mingyu Li, Hexuan Sun, Shunyu Zhang

AIP Advances 14, 015057 (2024)

https://doi.org/10.1063/9.0000768

Published: January 2024

View article titled, 3D inversion of magnetic gradient data based on equivalent source weighting method

Journal Articles

Research on the opening method of robotic arm based on force feedback reinforcement learning

Ziyang Zhou, Liming Wang, Yang Wang

AIP Advances 14, 015330 (2024)

https://doi.org/10.1063/5.0167500

Published: January 2024

View article titled, Research on the opening method of robotic arm based on force feedback reinforcement learning

Journal Articles

Optimization of wire spark erosion machining of Grade 9 titanium alloy (Grade 9) using a hybrid learning algorithm

Manikandan Natarajan, Thejasree Pasupuleti, Jayant Giri, Hamad A. Al-Lohedan, Lakshmi Narasimhamu Katta, Faruq Mohammad, Neeraj Sunheriya, Rajkumar Chadge, Chetan Mahatme, Pallavi Giri, Saurav Mallik, T. Sathish

AIP Advances 14, 015319 (2024)

https://doi.org/10.1063/5.0177658

Published: January 2024

View article titled, Optimization of wire spark erosion machining of Grade 9 titanium alloy (Grade 9) using a hybrid learning algorithm

Journal Articles

A method for positioning multiple weak magnetic target signals under the interference of strong magnetic sources

Shunyu Zhang, Jing Qiu, Hongrui Song, Mingyu Li, Hexuan Sun, Shuanglong Huang

AIP Advances 14, 015126 (2024)

https://doi.org/10.1063/9.0000767

Published: January 2024

View article titled, A method for positioning multiple weak magnetic target signals under the interference of strong magnetic sources

Journal Articles

A hybrid of iterative Gauss–Newton and one-dimensional convolutional neural network for high-resolution electrical impedance tomography

Keiya Minakawa, Keigo Ohta, Hiroaki Komatsu, Tomoko Fukuyama, Takashi Ikuno

AIP Advances 14, 015210 (2024)

https://doi.org/10.1063/5.0185371

Published: January 2024

View article titled, A hybrid of iterative Gauss–Newton and one-dimensional convolutional neural network for high-resolution electrical impedance tomography

Includes: Supplementary data

Journal Articles

Modeling potato data with the DUS modified Lehmann-type II power function distribution: Inference and applications

Muhammad Zeshan Arshad, Muhammad Zafar Iqbal, Muhammad Kashif, Madiha Ghamkhar

AIP Advances 13, 125311 (2023)

https://doi.org/10.1063/5.0177703

Published: December 2023

View article titled, Modeling potato data with the DUS modified Lehmann-type II power function distribution: Inference and applications

Journal Articles

Fast terminal sliding mode control of agricultural robots with permanent magnet synchronous motor servo systems based on an extended state observer for path tracking

Xi Zhao, Huan Wang, Jiazhong Xu, Linna Zhang, Lijuan Ren

AIP Advances 13, 115021 (2023)

https://doi.org/10.1063/5.0179429

Published: November 2023

View article titled, Fast terminal sliding mode control of agricultural robots with permanent magnet synchronous motor servo systems based on an extended state observer for path tracking

Journal Articles

Estimation of population variance using the actual ranks and values: Properties and application

Salem Mubarak Alzahrani

AIP Advances 13, 105221 (2023)

https://doi.org/10.1063/5.0175034

Published: October 2023

View article titled, Estimation of population variance using the actual ranks and values: Properties and application

Journal Articles

Inverse power Ramos–Louzada distribution with various classical estimation methods and modeling to engineering data

Aned Al Mutairi, Amal S. Hassan, Shokrya S. Alshqaq, Rehab Alsultan, Ahmed M. Gemeay, Said G. Nassr, Mohammed Elgarhy

AIP Advances 13, 095117 (2023)

https://doi.org/10.1063/5.0170393

Published: September 2023

View article titled, Inverse power Ramos–Louzada distribution with various classical estimation methods and modeling to engineering data

Journal Articles

Short-term prediction of wind power generation based on VMD-GSWOA-LSTM model

Tongguang Yang, Wanting Li, Zhiliang Huang, Li Peng, Jingyu Yang

AIP Advances 13, 085215 (2023)

https://doi.org/10.1063/5.0160223

Published: August 2023

View article titled, Short-term prediction of wind power generation based on VMD-GSWOA-LSTM model

Journal Articles

Investigation and statistical analysis of electrical energy production from the wind farm

Mohammed I. Alghamdi, Oriza Candra, Arif Sari, Iskandar Muda, Mujtaba Zuhair Ali, Karrar Shareef Mohsen, Reza Morovati, Behnam Bagheri

AIP Advances 13, 065010 (2023)

https://doi.org/10.1063/5.0137760

Published: June 2023

View article titled, Investigation and statistical analysis of electrical energy production from the wind farm

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Topics

A profile inversion method for vertical ionograms

Redefining structural soundness in concrete constructions: A groundbreaking technique for water–cement ratio assessment in sustainable building integrated with explainable artificial intelligence

Testing the auto-regressive integrated moving average approach vs the support vector machines-based model for materials forecasting to reduce inventory

Advancements in predicting scour depth induced by turbulent wall jets: A comparative analysis of mathematical formulations and machine learning models

Spatiotemporal evaluation of five satellite-based precipitation products under the arid environment of Saudi Arabia

Determining magnetic properties of high entropy alloys by molar volume difference predicted by machine learning

Navigating challenges in the transition to green transportation: A perception study exploring factors influencing drivers’ intentions for electric vehicle adoption

Improving the quality of the supersonic flow field of free-jet wind tunnels

A data-driven approach to predict the saturation magnetization for magnetic 14:2:1 phases from chemical composition

3D inversion of magnetic gradient data based on equivalent source weighting method

Research on the opening method of robotic arm based on force feedback reinforcement learning

Optimization of wire spark erosion machining of Grade 9 titanium alloy (Grade 9) using a hybrid learning algorithm

A method for positioning multiple weak magnetic target signals under the interference of strong magnetic sources

A hybrid of iterative Gauss–Newton and one-dimensional convolutional neural network for high-resolution electrical impedance tomography

Modeling potato data with the DUS modified Lehmann-type II power function distribution: Inference and applications

Fast terminal sliding mode control of agricultural robots with permanent magnet synchronous motor servo systems based on an extended state observer for path tracking

Estimation of population variance using the actual ranks and values: Properties and application

Inverse power Ramos–Louzada distribution with various classical estimation methods and modeling to engineering data

Short-term prediction of wind power generation based on VMD-GSWOA-LSTM model

Investigation and statistical analysis of electrical energy production from the wind farm

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