The Action Control Model for Robotic Fish Using Improved Extreme Learning Machine by XueXi Zhang, ShuiBiao Chen, ShuTing Cai, XiaoMing Xiong, Zefeng Hu

“…To achieve fast and accurate adjustment of robotic fish, this paper proposes state prediction model based on the extreme learning machine optimized by particle swarm algorithm. …”
Get full text

Language Learning Materials Counteracting Rural Racializations: A Practical Attempt in ELT by Ferney Cruz-Arcila, Sandra Ximena Bonilla-Medina, Vanessa Solano-Cohen

Get full text

The Prediction of Storm‐Time Thermospheric Mass Density by LSTM‐Based Ensemble Learning by Peian Wang, Zhou Chen, Xiaohua Deng, Jingsong Wang, Rongxing Tang, Haimeng Li, Sheng Hong, Zhiping Wu

Subjects: “…the LSTM‐based ensemble learning model…”
Get full text

Predictors of depression among Chinese college students: a machine learning approach by Lin Luo, Junfeng Yuan, Chenghan Wu, Yanling Wang, Rui Zhu, Huilin Xu, Luqin Zhang, Zhongge Zhang

Subjects: Get full text

Retracted: The Evaluation Model of College English Diagnostic Exercises Based on Machine Learning by Journal of Function Spaces

Get full text

A Comparative Study of Entrepreneurship Education Curriculum and Social-emotional Learning for Children by Batool Sabzeh, Nasrin Ansari

Subjects: Get full text

Application of machine learning in asphalt and concrete material testing: A comprehensive review by Khorshidi Meisam, Dave Eshan, Sias Jo

Subjects: Get full text

Error Correction of Meteorological Data Obtained with Mini-AWSs Based on Machine Learning by Ji-Hun Ha, Yong-Hyuk Kim, Hyo-Hyuc Im, Na-Young Kim, Sangjin Sim, Yourim Yoon

“…In this paper, we propose a novel error correction of atmospheric pressure data observed with a Mini-AWS based on machine learning. Using the proposed method, we obtained corrected atmospheric pressure data, reaching the standard of the World Meteorological Organization (WMO; ±0.1 hPa), and confirmed the potential of corrected atmospheric pressure data as an auxiliary resource for AWSs.…”
Get full text

Explainable analysis of infrared and visible light image fusion based on deep learning by Bo Yuan, Hongyu Sun, YinJing Guo, Qiang Liu, Xinghao Zhan

Subjects: “…Machine learning…”
Get full text

Design and Construction of Micro-hydro Model With Different Flowrate as a Learning Medium by Diki Ismail Permana, Dini Fauziah, Decy Nataliana

Subjects: Get full text

Foreign object debris detection in lane images using deep learning methodology by Priyadharsini S., Bhuvaneshwara Raja K., Kousi Krishnan T., Senthil Kumar Jagatheesaperumal, Bader Fahad Alkhamees, Mohammad Mehedi Hassan

“…Methods This work proposes a video-based deep learning methodology to address the high cost of radar-based FOD detection. …”
Get full text

Epilepsy Prediction and Detection Using Attention-CssCDBN with Dual-Task Learning by Weizheng Qiao, Xiaojun Bi, Lu Han, Yulin Zhang

Subjects: Get full text

Bearing Small Sample Fault Diagnosis based on Data Generation and Transfer Learning by Dinghui Wu, Qin Fang, Chuyi Wu

Subjects: Get full text

A Multianalyzer Machine Learning Model for Marine Heterogeneous Data Schema Mapping by Wang Yan, Le Jiajin, Zhang Yun

“…In order to improve the schema mapping efficiency and get more accurate learning results, this paper proposes a heterogeneous data schema mapping method basing on multianalyzer machine learning model. …”
Get full text

EPPTA: Efficient partially observable reinforcement learning agent for penetration testing applications by Zegang Li, Qian Zhang, Guangwen Yang

“…Automating pen‐testing through reinforcement learning (RL) facilitates more frequent assessments, minimizes human effort, and enhances scalability. …”
Get full text

Road Adhesion Coefficient Estimation Based on Vehicle-Road Coordination and Deep Learning by Chunjie Li, Pan Liu, Zhenlong Xie, Zhibin Li, Huan Huan

“…Therefore, this paper proposes a road adhesion coefficient estimation method based on vehicle-road coordination and deep learning. Firstly, a vehicle-based data feedback system combined with a vehicle-road network cloud is introduced, and CarSim simulation is used to expand the data set and train the model effectively. …”
Get full text

Machine learning algorithms can predict emotional valence across ungulate vocalizations by Romain A. Lefèvre, Ciara C.R. Sypherd, Élodie F. Briefer

“…The present study used a machine learning algorithm (eXtreme Gradient Boosting [XGBoost]) to distinguish between contact calls indicating positive (pleasant) and negative (unpleasant) emotional valence, produced in various contexts by seven species of ungulates. …”
Get full text

Improving the segmentation of the vertebrae using a multi-stage machine learning algorithm by Vladyslav Koniukhov

Subjects: Get full text

Retracted: Digital Art Feature Association Mining Based on the Machine Learning Algorithm by null Complexity

Get full text

Machine learning and genetic algorithm-guided directed evolution for the development of antimicrobial peptides by Heqian Zhang, Yihan Wang, Yanran Zhu, Pengtao Huang, Qiandi Gao, Xiaojie Li, Zhaoying Chen, Yu Liu, Jiakun Jiang, Yuan Gao, Jiaquan Huang, Zhiwei Qin

Subjects: “…Machine learning…”
Get full text