Research on territorial spatial planning based on data mining and geographic information visualization by Wang Yingqiao

“…In the urban expansion planning project, multi-source data such as land use status data, population distribution data, and economic development data are integrated, and the spatial agglomeration pattern of land use types is found by using the method proposed in this article, so as to provide a reference for rational planning of urban expansion direction.…”
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Effective behavioral change techniques in m-health app supported interventions for glycemic control among patients with type 2 diabetes: A meta-analysis and meta-regression analys... by Kaifeng Liu, Yuxuan Xia

“…It also sought to describe the behavior change techniques (BCTs) used in these interventions and identify effective BCTs or combinations of BCTs to facilitate glycemic control. Method MEDLINE, EMBASE, and Web of Science databases were searched for relevant studies published until November 2024. …”
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Deep Learning-Based Vertical Decomposition of Ionospheric TEC into Layered Electron Density Profiles by Jialiang Zhang, Jianxiang Zhang, Zhou Chen, Jingsong Wang, Cunqun Fan, Yan Guo

“…It provides a novel tool for space weather warning and shortwave communication optimization. Current limitations include insufficient physical interpretability and prediction uncertainty in GNSS-sparse regions, which could be mitigated in future work through the integration of physical constraints and multi-source data assimilation.…”
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Analysis of Landscape Fragmentation Evolution Characteristics and Driving Factors in the Wei River Basin, China by Changzheng Gao, Qisen Dang, Chu Li, Yongming Fan

“…The edge density index (ED), the landscape division index (DIVISION), the landscape shape index (LSI), and the Shannon diversity index (SHDI) have increased annually, while the contagion index (CONTAG) and area-weighted mean patch size (Area_AM) have continuously decreased; (2) Landscape fragmentation in the Wei River basin is characterized by stable changes in the source and tributary fragmentation areas, a concentrated distribution of fragmentation in the tributaries, and a significant increase in fragmentation in the main stream; (3) The analysis using the geographic detector method indicates that vegetation coverage (FVC), human activity intensity (HAI), and land use/land cover change (LUCC) are the main driving factors of landscape fragmentation in the Wei River basin. …”
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Effects of Sunn Hemp, Vermicompost, and Organic Fertilizers on Organic Strawberry Plant Growth, Yield, and Fruit Quality by Jianyu Li, Jeffrey K. Brecht, Shinsuke Agehara, Xin Zhao

“…Vermicompost also exhibited potential to enhance early-season yields but requires optimization of application method and rate. The first season trial indicated liquid fish fertilizer as a more effective source of in-season N to enhance plant growth and fruit yield. …”
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Enhanced trajectory reconstruction from sparse and noisy GPS data: A progressive chunked transformer approach by Yonghui Liu, Qian Li, Inhi Kim

“…A case study using an open-source taxi trajectory dataset confirms the effectiveness of our approach. …”
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Utilization of plastic and glass waste mixed with sand as an alternative brick materials by Badiea A. Mahyoub, Amer H. Abdu, Adel A. Ahmed, Ibtisam M. Kamal

“…TGA and DSC analysis showed that the plastic brick prepared has a good thermal stability and the decomposition is in the limited and acceptable range. Optimization of the two effective variables (plastic/sand and galas ratios) has been made and correlating the results obtained using Box-Wilson statistical method to create a model for describing the predictable properties of a new product.…”
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Deep Reinforcement Learning-Based Energy Management Strategy for Green Ships Considering Photovoltaic Uncertainty by Yunxiang Zhao, Shuli Wen, Qiang Zhao, Bing Zhang, Yuqing Huang

“…Owing to the global concern regarding fossil energy consumption and carbon emissions, the power supply for traditional diesel-driven ships is being replaced by low-carbon power sources, which include hydrogen energy generation and photovoltaic (PV) power generation. …”
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Intermittent control and retinal optic flow when maintaining a curvilinear path by Björnborg Nguyen, Ola Benderius

“…In addition, a novel method of identifying constituent ballistic correction using particle swarm optimization was demonstrated to analyze the incremental correction-based behavior. …”
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Comprehensive benefits evaluation of low impact development using scenario analysis and fuzzy decision approach by Ting Ni, Xiaohong Zhang, Peng Leng, Mark Pelling, Jiuping Xu

“…Abstract The comprehensive benefit evaluation of LID based on multi-criteria decision-making methods faces technical issues such as the uncertainties and vagueness in hybrid information sources, which can affect the overall evaluation results and ranking of alternatives. …”
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Mobile Mapping System for Urban Infrastructure Monitoring: Digital Twin Implementation in Road Asset Management by Vittorio Scolamiero, Piero Boccardo, Luigi La Riccia

“…To meet this new goal, one must be able to understand the urban system through the integrated use of different methods in a multi-level approach. In this context, mobile surveying is a consolidated method for data collection in urban environments. …”
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Development of deep learning models for high-resolution exposome mapping and health impact assessment by Lan Luan, Zhu Daoyu

“…Traditional exposome mapping methods often face limitations, such as low spatial-temporal resolution, challenges in integrating multi-modal data sources, and inadequate handling of uncertainties in exposure quantification.MethodsTo address these gaps, we introduce an innovative framework that leverages advanced deep learning techniques, adaptive optimization strategies, and multi-scale data integration to achieve high-resolution exposome modeling. …”
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Machine learning for defect condition rating of wall wooden columns in ancient buildings by Yufeng Li, Wu Ouyang, Zhenbo Xin, Houjiang Zhang, Shuqi Sun, Dian Zhang, Wenbo Zhang

“…This study proposes a Machine Learning-based classification method for rating the defect conditions of wooden columns in ancient building walls using Nondestructive Testing data, including defect images, micro-drilling resistance data, and material loss depths. …”
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LiDGS: An efficient 3D reconstruction framework integrating lidar point clouds and multi-view images for enhanced geometric fidelity by Li Yan, Jiang Song, Hong Xie, Pengcheng Wei, Gang Li, Longze Zhu, Zhongli Fan, Shucheng Gong

“…Multi-view reconstruction of real-world scenes has been an important and challenging task. Although methods based on Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) have made significant progress in rendering quality, there are still some limitations regarding the fidelity of geometric structures. …”
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DAMPAK PEMANFAATAN ARTIFICIAL INTELLIGENCE (AI) DALAM PERILAKU PENGAMBILAN KEPUTUSAN TERHADAP ETIKA BISNIS DAN KEBERLANJUTAN ORGANISASI by Putu Ayu Diah Widari Putri, Nyoman Yudha Astriayu Widyari, Ida Ayu Komang Tiara Pratistha Sari

“…This study uses a qualitative method with a literature study approach used as a comprehensive research method, involving the collection and analysis of articles related to the topic from various academic sources from 2021 to 2025. …”
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Secure energy outage analysis of UAV swarm-based network. by Tien Hoa Nguyen, Hoang Vu Tran

“…To address these challenges, we propose two energy-efficient secure UAV selection methods aimed at optimizing the communication network's physical layer security. …”
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Fourier and Inverse Fourier Transform Model for Delayed Self-interferometry System by Ling Zhang, Weilin Xie, Yuxiang Feng, Zhangweiyi Liu, Haijun Zhou, Yinxia Meng, Yuanshuo Bai, Wei Wei, Yi Dong

“…With average estimation goodness (AEG) of 0.9716 and computation complexity of <inline-formula><tex-math notation="LaTeX">$\mathcal {O}(N\text {log}N)$</tex-math></inline-formula>, this model offers greater accuracy and lower complexity than conventional methods. It has also been confirmed that this model permits to distinguish the contributions from the laser frequency stability and other noise sources, which could be helpful for the noise analysis and performance optimization of the system.…”
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Literature review for the topic of automation of scheduling classes and exams in higher education institutions by Wadhah M Al-Gabri

“…Materials and Methods. The analytical study results of a number of the Russian and foreign sources on methods and algorithms of the classes and exams timetabling automation are described. …”
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A quasi affine transformation evolution algorithm with evolution matrix selection operation for parameter estimation of proton exchange membrane fuel cells by Mohammad Aljaidi, Pradeep Jangir, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, Samar Hussni Anbarkhan, Laith Abualigah

“…The objective function of the optimization problem is defined as the sum of squared errors of the actual and predicted voltage data. …”
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Management of Financing in Community Learning Activity Centers by Nurfitriani Nurfitriani, Eka Yudhyani, Catur Kumala Dewi, Rina Masithoh Haryadi, Sunarto Sunarto

“…By diversifying funding sources and optimizing the use of funds, PKBM can reduce dependence on one source of funding, thereby increasing operational stability and financial sustainability. …”
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