A Three-Tier Deep Learning-Based Channel Access Method for WiFi Networks by Yiwei Huang, Kwan-Wu Chin

“…Future WiFi networks require a channel access method that provides users with high capacity. Such a method must consider 1) channel bonding, which improves the transmission capacity of Access Points (APs); and 2) spatial reuse, where APs tune their Clear Channel Assessment (CCA) threshold and transmit power in order to transmit concurrently with neighboring APs. …”
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An Intelligent Method to Identify Effective Factors in Customers' Dissatisfaction in the Insurance Industry using Ensemble Learning by Kamran Balani, Hossein Sadr, Ahmad Edalatpanah, Mahnaz Manteghipour, Mojdeh Nazari

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A Multistep Iterative Ranking Learning Method for Optimal Project Portfolio Planning of Smart Grid by Cong Liu, Xianghua Li, Jian Liang, Kun Sheng, Lingzhao Kong, Xiaoyan Peng, Wenxin Zhao

“…This paper proposes a novel multistep iterative ranking learning method (MIRL) to solve this complex combinatorial optimization problem from massive infrastructure projects of smart grid. …”
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A method for intelligent information extraction of coal fractures based on µCT and deep learning by Zhazha HU, Xun ZHANG, Yi JIN, Linxian GONG, Wenhui HUANG, Jianji REN, Norbert Klitzsch

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MOOC development with case studies method in strategic management course for students to improve learning quality by Lylys Endarwati, Eveline Siregar, Cecep Kustandi

“…This study attempts to help support the Sustainable Development Goals education sector so that the wider public can continue to learn throughout life through MOOCs and so that they can be a guide in developing learning MOOCs with case method studies.…”
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Editorial: Multimodality in face-to-face teaching and learning: contemporary re-evaluations in theory, method, and pedagogy by Thomas Amundrud, Brahim Azaoui, George Cremona, Charalampia Hara Sidiropoulou

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Towards Intelligent Unmanned Adversarial Games: A Reinforcement Learning Framework with the PHP-ROW Method by Guoqing Shi, Yi Cao, Dinghan Wang, Qiming Yang, Jiandong Zhang, Zhuoyong Shi

“…To achieve granular maneuver control, this research introduces the Priority Heading Polling–Random Observation Weight (PHP-ROW) method, underpinned by deep reinforcement learning. …”
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A Fast Power Market Clearing Method Based on Active Constraints Identification by Deep Learning by Yunliang WU, Jianxin ZHANG, Bao LI, Peng LI, Zhiyong LI, Xin ZHOU, Yan YANG, Xiaowen LAI

“…Therefore, this paper proposes a fast clearing method for day-ahead power market based on the deep neural network. …”
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Partial discharge defect recognition method of switchgear based on cloud-edge collaborative deep learning by Zhijie Jia, Songhai Fan, Zhichuan Wang, Shuai Shao, Dameng He

“…Abstract To address the limitations of traditional partial discharge (PD) detection methods for switchgear, which fail to meet the requirements for real-time monitoring, rapid assessment, sample fusion, and joint analysis in practical applications, a joint PD recognition method of switchgear based on edge computing and deep learning is proposed. …”
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Evaluation Method of Total Organic Carbon Content in Shale Based on Stacking Algorithm Ensemble Learning by SONG Yanjie, LIU Yingjie, TANG Xiaomin, ZHANG Zhaoqian

“…The results show that the ensemble learning model based on Stacking algorithm has the highest prediction accuracy for total organic carbon content compared with decision tree model, support vector regression machine model, BP neural network model, and improved ΔlgR method. …”
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An automatic remote sensing image shadow compensation method utilizing reflectance differences and transfer learning by Xingyu Shen, Yungang Cao, Baikai Sui, Shuang Zhang, Dejun Feng

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Cross-Network User Identity Linkage Method with Deep Learning Based on SDNE Embedding Representation by CHENG Jialin, YUAN Deyu, SUN Zeyu, CHEN Ziyan

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T3SSLNet: Triple-Method Self-Supervised Learning for Enhanced Brain Tumor Classification in MRI by Md. Nasif Safwan, Souhardo Rahman, Mahamodul Hasan Mahadi, Md Iftekharul Mobin, Taharat Muhammad Jabir, Zeyar Aung, M. F. Mridha

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Cropland Suitability Prediction Method Based on Biophysical Variables from Copernicus Data and Machine Learning by Dorijan Radočaj, Mateo Gašparović, Mladen Jurišić

“…The goal of this study was to propose and validate a method for predicting cropland suitability based on biophysical variables and machine learning according to an FAO land suitability standard using soybean (<i>Glycine max</i> L.) as a representative crop, aiming to provide an alternative to geographic information system (GIS)-based multicriteria analysis. …”
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Low-cycle fatigue life prediction method for stud connectors based on interpretable machine learning by Jianan Pan, Xiaoling Liu, Bing Wang, Ying Liu

“…This study aims to develop a high-precision prediction model for low-cycle fatigue life using machine learning methods, providing a new approach for material performance evaluation. …”
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Tracking Method for Alpine Skiing Based on Hybrid Deep Learning and Evolutionary Chimp Optimization Algorithm by Xiaohua Wu, Yongtao Shi, Mohammad Khishe

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Applying the photovoice method with adolescents in mining areas in rural Mozambique: critical reflections and lessons learned by Olga Cambaco, Hermínio Cossa, Andrea Farnham, Eusébio Macete, Mirko S. Winkler, Karin Gross, Khátia Munguambe

“…There is a recognised need for innovative methods to elicit the perspective of adolescents on public health issues, particularly when addressing sensitive topics such as the impact of mining projects on their health. …”
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Method for collision avoidance based on deep reinforcement learning with path-speed control for an autonomous ship by Do-Hyun Chun, Myung-Il Roh, Hye-Won Lee, Donghun Yu

“…In this paper, we propose a collision avoidance method based on deep reinforcement learning (DRL) that simultaneously controls the path and speed of a ship. …”
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Advanced hybrid computational analysis of febuxostat solubility using machine learning in supercritical processing method by Turki Al Hagbani, Rami M. Alzhrani, Majed Ahmed Algarni

“…This research was done with the aim of modeling the solubility of febuxostat (FBX) drug with the help of machine learning methods. Temperature and pressure are the input values on which the modeling is done. …”
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History-Based Image Cloud Recognition Learning Method in Strengthening Students' Historical Thinking Skills by Syaiful Amin, Sariyatun Sariyatun, Gunarhadi Gunarhadi, Purwanta Purwanta

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