Minimizing the Carbon Footprint in LoRa-Based IoT Networks: A Machine Learning Perspective on Gateway Positioning by Francisco-Jose Alvarado-Alcon, Rafael Asorey-Cacheda, Antonio-Javier Garcia-Sanchez, Joan Garcia-Haro

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The technology of formation of teamwork skills in terms of project-based learning students by Svetlana D. Lipatova, Evgeniya A. Khokholeva

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Pose measurement method for coal mine drilling robot based on deep learning by Jiangnan LUO, Jianping LI, Hongxiang JIANG, Deyi ZHANG

“…To address the challenge of measuring the drilling position in underground coal mines, a deep learning-based method is proposed. …”
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Positional Tracking Study of Greenhouse Mobile Robot Based on Improved Monodepth2 by Yaheng Cai, Yingli Cao

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Ancient history education through project-based learning by María-Pilar Molina-Torres

“…The effectiveness of teaching strategies and resources that promote meaningful content learning is most pronounced when active methods such as project-based learning (PBL) are used to teach Ancient History (Molina, 2020, 53). …”
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Deep Learning-Based Multimode Fiber Distributed Temperature Sensing by Luxuan Yang, Xiaoyan Wang, Tong Wu, Huichuan Lin, Songjie Luo, Ziyang Chen, Yongxin Liu, Jixiong Pu

“…This non-contact, high-precision MMF-based temperature measurement method, driven by deep learning, is suitable for applications in hazardous environments.…”
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WiFi Indoor Positioning Based on EGA-PF and Fernet Algorithm by Yanchun Wang, Shaoye Sun, Fengjuan Miao, Ying Xia

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FPE–Transformer: A Feature Positional Encoding-Based Transformer Model for Attack Detection by Hande Çavşi Zaim, Esra Nergis Yolaçan

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Learning Media Innovation: Pocket Book Based on Mnemonics and PBL for Madrasah Students by Annisa Latifah Kotada, Agus Subagyo, Ervan Johan Wicaksana

“… This study aims to develop a learning tool—a mnemonic-based pocket book with Problem-Based Learning (PBL) evaluation—to help students better understand and retain complex biology concepts, especially those related to human transport and exchange systems. …”
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Development of Motion Learning Media and Energy Conservation Law Through Coaster Tracks Based on Logger Pro Analysis by A. Setiyani, W. H. Kristiyanto, F. S. Rondonuwu

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Simulation of Self-Occlusion Virtual Dataset Method for Robust Point Matching Algorithm, With Applications to Positioning of Guide Vanes by Fenglin Han, Hang Peng, Xian Wu, Haonan Ren, Yiwei Sun, Bin Su

“…The application of point cloud registration technology for workpiece positioning compensation using optical three-dimensional measurement methods has attracted widespread attention in the manufacturing industry, particularly point cloud registration methods integrated with deep learning are booming. …”
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MPCNet: Improved MeshSegNet Based on Position Encoding and Channel Attention by Hanqing Hu, Zhengxun Li, Weichao Gao

“…In the process of orthodontic treatment, it is a very important step to accurately segment each tooth and jaw model with computer assistance. The use of deep learning technology methods for tooth segmentation can not only save a lot of manual interaction and time cost but also improve the treatment effect. 3D tooth segmentation is a hot topic of interest for international related scholars, and some end-to-end tooth segmentation methods based on dental mesh scanning models have been emerging in recent years. …”
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Traffic concealed data detection method based on contrastive learning and pre-trained Transformer by HE Shuai, ZHANG Jingchao, XU Di, JIANG Shuai, GUO Xiaowei, FU Cai

“…To solve the problems of characterizing representing massive encrypted traffic, perceiving malicious behaviors, and identifying the ownership of privacy data, a traffic concealed data detection method was proposed based on contrastive learning and pre-trained Transformer. …”
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The intelligent fault identification method based on multi-source information fusion and deep learning by Dashu Guo, Xiaoshuang Yang, Peng Peng, Lei Zhu, Handong He

“…The results indicate that among the machine learning methods, the classification and regression Trees model achieved an accuracy of 0.993, true positive rate of 0.988, F1-score of 0.994. …”
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City Radio Map Construction for Wi-Fi-Based Citywide Indoor Positioning by Dongsoo Han, Ayesha Sahar, Joseph Berkner, Gunwoo Lee

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Outdoor location scheme with fingerprinting based on machine learning of mobile cellular network by Zhichao ZHOU, Yi FENG, Xiaohan XIA, Yuyao FENG, Chao CAI, Jiahui QIU, Lihui YANG, Yunxiao WU

“…The positioning scheme based on mobile cellular network technology is one of the important technical approaches to provide network optimization, emergency rescue, police patrol and location services.The traditional positioning scheme based on cell base station location information has low positioning accuracy and large positioning error, so it cannot meet the requirements of some positioning applications.The scheme based on fingerprint location can greatly improve the location accuracy, save computational cost and enhance the usability based on the coarse location scheme of the cell and become the hotspot of the research.Rasterization and non-rasterization of outdoor fingerprint location scheme based on machine learning were studied and analyzed to meet the business requirements of outdoor fingerprint location.By means of parameter weighting, data fitting and other methods, large-scale fingerprint data were cleaned to improve the effectiveness of data sources.Through the realization of sub-modules such as demarcating research area, rasterizing, constructing fingerprint database, training model, correcting model, non-rasterizing, rough positioning coupling, matching parameter and training parameter, the operation efficiency and positioning accuracy of the algorithm were analyzed and optimized, and the key indexes affecting the algorithm performance were determined.Then, the performance of two fingerprint-based localization schemewas analyzed based on the simulation results.Finally, the typical scenarios of the fingerprint location scheme based on machine learning in practical application were presented.…”
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Spatial-Temporal Cooperative In-Vehicle Network Intrusion Detection Method Based on Federated Learning by Liu Tao, Zhao Xiyang

“…This paper proposes a spatial-temporal collaborative intrusion detection method for IVN based on federated learning (FL), aiming to address the limitations of traditional intrusion detection methods in data privacy protection, temporal modeling, and computational efficiency. …”
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Teaching-learning in clinical education based on epistemological orientations: A multi-method study. by Hamed Khani, Soleiman Ahmady, Babak Sabet, Ali Namaki, Shirdel Zandi, Somayeh Niakan

“…Based on the second sub-study, the clinical teaching-learning situation in undergraduate medical education in Iran was represented in three maps, including situational, social worlds/arenas, and positional. …”
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From Stationary to Nonstationary UAVs: Deep-Learning-Based Method for Vehicle Speed Estimation by Muhammad Waqas Ahmed, Muhammad Adnan, Muhammad Ahmed, Davy Janssens, Geert Wets, Afzal Ahmed, Wim Ectors

“…When it comes to road traffic monitoring systems (RTMs), the combination of UAVs and vision-based methods has shown great potential. Currently, most solutions focus on analyzing traffic footage captured by hovering UAVs due to the inherent georeferencing challenges in video footage from nonstationary drones. …”
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Machine learning based on a generative adversarial tri-model by Song Wang, Ning Xi, Zhengfang Zhou

“…Abstract This paper proposes a novel machine learning paradigm called the generative adversarial tri-model (GAT) to incorporate analytical knowledge into neural networks through a unique positive-sum game strategy. …”
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