Mapping Gridded GDP Distribution of China Based on Remote Sensing Data and Machine Learning Methods by Saimiao Liu, Wenliang Liu, Yi Zhou, Shixin Wang, Futao Wang, Zhenqing Wang

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Implementation of an algorithm for the identification of breast cancer deaths in German health insurance claims data: a validation study based on a record linkage with administrati... by Hajo Zeeb, Ulrike Haug, Jonas Czwikla, Hans Werner Hense

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Single target tracking in high-resolution satellite videos: a comprehensive review by Xin Huang, Ding Wang, Qiqi Zhu, Ying Zheng, Qingfeng Guan

“…To identify emerging research trends and opportunities, we classify established and emerging algorithms into three main categories and evaluate their performance on typical satellite videos. …”
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ConvNeXt embedded U-Net for semantic segmentation in urban scenes of multi-scale targets by Yanyan Wu, Qian Li

“…The existing semantic segmentation is mostly solved from the target scale and superpixel methods. Our research mainly fills the gap in image segmentation field of ConvNeXt fusion U-Net pyramid network model in specific urban scenes. …”
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Machine learning approach for 2D abrasion mapping in Sediment Bypass Tunnels: a case study of Koshibu SBT, Japan by Ahmed Emara, Sameh A. Kantoush, Mohamed Saber, Tetsuya Sumi, Vahid Nourani, Emad Mabrouk

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A global Swin-Unet Sentinel-2 surface reflectance-based cloud and cloud shadow detection algorithm for the NASA Harmonized Landsat Sentinel-2 (HLS) dataset by Haiyan Huang, David P. Roy, Hugo De Lemos, Yuean Qiu, Hankui K. Zhang

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Optimization Models for Reducing the Air Pollutants Emission in the Production of Insulation Bituminous by Faezeh Borhani, Majid Shafiepour Motlagh, Amir Houshang Ehsani, Yousef Rashidi, Alireza Noorpoor, Saeid Maddah

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Overhead line path planning based on deep reinforcement learning and geographical information system by Jiahui Chen, Yi Yang, Ling Peng, Lina Yang, Yinhui Han, Xingtong Ge

“…Current overhead line planning primarily relies on manual labor, and existing automated algorithms have low adaptability, making it difficult to efficiently accomplish path planning tasks under various environments and objectives. …”
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Deep learning-based time series prediction for precision field crop protection by Tao He, Meijin Li, Dong Jin

“…Traditional time series models struggle with complex agricultural data due to heterogeneity, high dimensionality, and strong spatial-temporal dependencies. These limitations hinder their ability to provide actionable insights for resource optimization and environmental protection.MethodsTo tackle these difficulties, this research puts forward a new deep-learning-based architecture for time-series prediction that is customized for precise field crop protection. …”
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Consumer-Centered Collaborative Governance of Regional Business Environment by Tingting Xiang, Hongzhi Lin

“…Investigating how the government can effectively improve the business environment and promote consumer welfare through scientific and strategic investment allocation is a topic that warrants comprehensive and in-depth research. This paper proposes a bi-level programming model based on consumer welfare, with the upper-level model focusing on optimizing the government’s investment allocation strategy to maximize consumer welfare, and the lower-level model addressing the spatial price equilibrium problem after improving the business environment. …”
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TomatoWUR: An annotated dataset of tomato plants to quantitatively evaluate segmentation, skeletonisation, and plant-trait extraction algorithms for 3D plant phenotyping4TU.researc... by Bart M. van Marrewijk, Tim van Daalen, Katarína Smoleňová, Bolai Xin, Gerrit Polder, Gert Kootstra

“…To our best knowledge only five annotated datasets exist for testing and validating 3D phenotyping algorithms. However, these datasets mainly focus on the segmentation step. …”
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Potential accuracy of quasi-optimal radar meters of angular coordinates with scanning multi-channel antenna system by S. V. Kozlov, Vu Thanh Ha

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Research on Newton-Krylov Method for Multi-component Flow Heat Transfer Coupled System of High-temperature Gas-cooled Reactor by TANG Huanran, ZHANG Han, LIU Lixun, PENG Xinru, WU Yingjie, GUO Jiong, LI Fu

“…By studying the selection of preconditioning matrix structure and the number of filling levels of ILU decomposition, the preconditioning matrix structure of “main coupling type” is proposed and ILU(5) is selected as suitable preconditioning for this research, which improves the efficiency of NK method for solving linear equations. …”

State and prospects of basic computer training in engineering education by O. G. Arkhipov

“…This new teaching method has such a «reference point» as fundamental programming concepts «task – method of this task solution – algorithm for solving the task – computer program».The main tasks of the discipline of the basic computer training were defined:– formation of students’ formal logic, algorithmic thinking;– learning of modern technology of structured programming, providing efficient development of algorithms and computer programs;– formation of practical skills of designing algorithms of any complexity;– learning of procedure-oriented programming languages.The article analyzes some negative aspects, related to basic computer training and appeared in the last 15–20 years in the National Research University «Moscow Power Engineering Institute» and other higher technical educational universities of Russia, including:– subjective diluting effect, changing the purpose and content of basic computer training and replacement by the other, «unconvincing» in the content subjects;– lack of a unified program of discipline «Informatics» for higher technical educational institutions of Russia;– lack of understanding of the specificity of very intensive work of lecturers, conducting such training, and the underestimation of their labor;– insufficient current level of initial computer training for the secondary school graduates;– lack of methodological interaction of higher technical educational universities of Russia among themselves and with the secondary school on basic computer training.The article emphasizes that the basic computer training in engineering education in Russia will be in perspective realized in its classic historical sense of the word, if the qualified engineers, who are able to think logically and resolve efficiently any professional tasks, will be necessary for the country as before.…”
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Disturbance Source Location in Power Systems Based on Time Difference of Arrival by Mengxi WEI, Ningning MA, Delin WANG, Wei DENG, Jitao KANG

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Offline System for 2D Indoor Navigation Utilizing Advanced Data Structures by Jorge Luis Veloz, Leo Sebastián Intriago, Jean Carlos Palma, Andrea Katherine Alcívar-Cedeño, Álvaro Antón-Sacho, Pablo Fernández-Arias, Edwan Anderson Ariza, Diego Vergara

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Research on the Method of Artificial Intelligence for Identifying Urban Land-Use Types Based on Areas of Interest (AOI) and Multi-Source Data by Miaoyi Li, Ningrui Zhu

“…Departing from existing data weighting algorithms, this research applies artificial intelligence techniques, utilizing the categorical information of AOI data as labels. …”
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Epilepsy Diagnosis Analysis via a Multiple-Measures Composite Strategy from the Viewpoint of Associated Network Analysis Methods by Haoying Niu, Tiange Mu, Yuting Wang, Jiayang Huang, Jie Liu

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Evaluation of the Geomorphon Approach for Extracting Troughs in Polygonal Patterned Ground Across Different Permafrost Environments by Amin Wen, Tonghua Wu, Xiaofan Zhu, Jie Chen, Jianzong Shi, Peiqing Lou, Dong Wang, Xin Ma, Xiaodong Wu

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Optimizing Solar Radiation Prediction Based on The Internet of Things Platform in Photovoltaic Power Plant by Neda Ashrafi Khozani, Maryam Mahmoudi, Shabnam Nasr Esfahani

“…Employing meta-heuristic methods as the main innovation in this research not only optimizes machine learning model settings but also mitigates the impact of noise, outliers, and ineffective inputs, thereby enhancing the final output quality. …”
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