SPL-PlaneTR: Lightweight and Generalizable Indoor Plane Segmentation Based on Prompt Learning by Zhongchen Deng, Yuanlong Ge, Xiatian Qi, Kai Sun, Ruixi Wan, Bingxu Zhang, Shenman Zhang, Xun Zhang, Yan Meng

“…It has garnered significant attention from researchers and remains one of the most advanced algorithms in this field. …”
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Spatiotemporal land use land cover (LULC) change analysis of urban narrow river using Google Earth Engine and Machine learning algorithms in Monterrey, Mexico by K. D. Rodríguez González, L. E. Arista Cázares, F. D. Yépez Rincón

“…The study utilizes high resolution satellite imagery with a spatial resolution of 4.7m, contributing to the reliability of the results. …”
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Research on Characteristics and Influencing Factors of High Temperature Disaster Risk in Wuhan Based on Local Climate Zone by Shujing GUO, Li ZHANG

“…On this basis, a high temperature disaster risk map of the urban development area of Wuhan is synthesized to identify the distribution characteristics of high temperature disaster risk in the research area. Then Landsat 8 remote sensing images are processed with SAGA GIS software, Google Earth Pro software, and Random Forest algorithm to classify the urban development area of Wuhan into 17 local climate zone (LCZ) types based on the remote sensing image classification method of World Urban Database and Access Portal Tools (WUDAPT). …”
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Research and Optimization of White Blood Cell Classification Methods Based on Deep Learning and Fourier Ptychographic Microscopy by Mingjing Li, Junshuai Wang, Shu Fang, Le Yang, Xinyang Liu, Haijiao Yun, Xiaoli Wang, Qingyu Du, Ziqing Han

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Monitoring and Assessment of Slope Hazards Susceptibility Around Sarez Lake in the Pamir by Integrating Small Baseline Subset InSAR with an Improved SVM Algorithm by Yang Yu, Changming Zhu, Majid Gulayozov, Junli Li, Bingqian Chen, Qian Shen, Hao Zhou, Wen Xiao, Jafar Niyazov, Aminjon Gulakhmadov

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Predicting Suitable Spatial Distribution Areas for Urban Trees Under Climate Change Scenarios Using Species Distribution Models: A Case Study of <i>Michelia chapensis</i> by Chenbin Shen, Xi Chen, Chao Zhou, Lingzi Xu, Mingyi Qian, Hongbo Zhao, Kun Li

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Recovering 3D Basin Basement Relief Using High-Precision Magnetic Data Through Particle Swarm Optimization and Back Propagation Algorithm by Shen Yan, Xinjun Zhang, Zhongda Shang, Kai Wang, Yixin Ma

“…This paper proposes a new method for the inversion of magnetic basement interfaces using a particle swarm optimization algorithm that combines potential field processing and machine learning techniques. …”
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Observed Meso‐Gamma Scale Variability of Air‐Sea Sensible Heat Flux in a Coastal Region by Sheng Chen, Siyuan Wu, Wenzheng Jiang, Fangli Qiao, Zhanli Wang

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Tomographic reconstruction algorithms for retrieving two-dimensional ice cloud microphysical parameters using along-track (sub)millimeter-wave radiometer observations by Y. Liu, Y. Liu, I. S. Adams

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Research on Method for Intelligent Recognition of Deep-Sea Biological Images Based on PSVG-YOLOv8n by Dali Chen, Xianpeng Shi, Jichao Yang, Xiang Gao, Yugang Ren

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Technical note: Applicability of physics-based and machine-learning-based algorithms of a geostationary satellite in retrieving the diurnal cycle of cloud base height by M. Wang, M. Min, J. Li, H. Lin, Y. Liang, B. Chen, Z. Yao, N. Xu, M. Zhang

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Integrating Explanations into CNNs by Adopting Spiking Attention Block for Skin Cancer Detection by Inzamam Mashood Nasir, Sara Tehsin, Robertas Damaševičius, Rytis Maskeliūnas

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Optimizing ensemble learning for satellite-based multi-hazard monitoring and susceptibility assessment of landslides, land subsidence, floods, and wildfires by Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Farman Ali, Biswajeet Pradhan, Soo-Mi Choi

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Replicating associative learning of rodents with a neuromorphic robot in an open-field arena by Tianze Liu, Kang Jun Bai, Hongyu An

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Neighbor-Relationship-Based Adaptive Density Peak Clustering by Zhigang Su, Qian Gao, Jingtang Hao, Yue Wang, Bing Han

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Conceptual Approaches аnd the Program of Polimas-Stability Study of Migration of Foreign Students in Russia by N. A. Shchitova, V. S. Belozerov, I. A. Soloviev

“…Student immigration is considered as one of the most active forms of youth spatial mobility. The main task of the study is to develop conceptual approaches and a program for studying the spatial features of student immigration in Russia.Materials and research methods. …”
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Experiential space analysis: scoring tranquil, social, and explorative places in habitable buildings by Rhys Goldstein, Nastaran Shahmansouri, Jeremy P. M. Mogk, Sebastian Herrera, Dianne Gault, Frederik Brudy, Michael Lee, Liviu Calin, Tomas Lay Herrera, Dagmara Szkurlat, Kean Walmsley

“…Various aspects of buildings and cities appear to positively influence human wellbeing, and spatial analysis offers a means of quantifying those factors so that they can be maximized during the design process. …”
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DSFA-SwinNet: A Multi-Scale Attention Fusion Network for Photovoltaic Areas Detection by Shaofu Lin, Yang Yang, Xiliang Liu, Li Tian

“…Secondly, a hybrid loss function has been developed with weights optimized employing the Bayesian Optimization algorithm to provide a strategic method for parameter tuning in similar research. …”
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OGAIS: OpenGL-Driven GPU Acceleration Methodology for 3D Hyperspectral Image Simulation by Xiangyu Li, Wenjuan Zhang, Bowen Wang, Huaili Qiu, Mengnan Jin, Peng Qi

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Research on computationally generative design of woven braced structure based on fiber composite material in architectural design industry by Peiqi Xu, Yiming Liu, Yafan Zhang, Nianxiong Liu

“…With the intervention of computer algorithm-assisted design in the realm of contemporary architectural design, architectural spatial forms and corresponding design methods have improved significantly. …”
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