Simultaneously detecting the intensity and position of Southwestern Atlantic Ocean Frontal Zones from satellite-derived SST by a multi-task deep learning model by Zhi Wang, Guangyu Yang, Yanchen Guo, Zhenkuan Pan, Ge Chen, Chunyong Ma

“…Additionally, traditional methods typically represent FZ position using frontal lines, which fail to capture the full width of the FZ, resulting in incomplete representations. …”
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Application of Deep Learning Methods for Employee Satisfaction Analysis Based on Text Data by A. A. Kazinets

“…The application of deep learning methods to analyze employee satisfaction based on text data is investigated. …”
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Multiple Instance Learning With Instance-Level Positive-Unlabeled Learning in Anomaly Detection by Ryosuke Matsuo, Shinya Yasuda, Hiroshi Yoshida

“…Our proposed method uses positive and unlabeled learning for enhancing instance-level classification performance and weighted-noisy-OR for training bag-level classification. …”
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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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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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An analysis of the empirical research on SL/FL teaching and learning based on positive psychology: a systematic literature review by Jia Miao, Xin Tian, Lina Zhang, Baoling Zhang, Li Ma

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A lightweight transformer based multi task learning model with dynamic weight allocation for improved vulnerability prediction by Lan Liu, Zhanfa Hui, Guiming Chen, Tingfeng Cai, Chiyu Zhou

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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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Positional Tracking Study of Greenhouse Mobile Robot Based on Improved Monodepth2 by Yaheng Cai, Yingli Cao

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

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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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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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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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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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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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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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