Spatial Blind Source Estimation of Respiratory Rate and Heart Rate Detection Based on Frequency-Modulated Continuous Wave Radar by Tong Pei, Tao Liao, Xiangkui Wan, Binhui Wang, Danni Hao

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Flood risk mapping and performance efficiency evaluation of machine learning algorithms: Best practice in northern Iran by M. Shirmohammadi, M. Shirmohammadi, S. Pirasteh, W. Li, D. Mafi-Gholami

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Transmit/Receive Spatial Smoothing with Improved Effective Array Aperture for Angle and Mutual Coupling Estimation in Bistatic MIMO Radar by Haomiao Liu, Xiaojun Yang, Rong Wang, Wei Jin, Weimin Jia

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Spectral Super-Resolution Technology Based on Fabry–Perot Interferometer for Temporally and Spatially Modulated Fourier Transform Imaging Spectrometer by Yu Zhang, Qunbo Lv, Jianwei Wang, Yinhui Tang, Jia Si, Xinwen Chen, Yangyang Liu

“…A new spectral super-resolution technique was proposed by combining the Fabry–Perot interferometer (FPI) with Temporally and Spatially Modulated Fourier Transform Imaging Spectrometer (TSMFTIS). …”
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Research on Multi-source Place Name Data Integration and Update Methods by S. Lin, X. Du, X. Guan, M. Xu, X. Liang, J. Chen, C. Wu, X. Zhou

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A segmentation method for lung nodule image sequences based on superpixels and density-based spatial clustering of applications with noise. by Wei Zhang, Xiaolong Zhang, Juanjuan Zhao, Yan Qiang, Qi Tian, Xiaoxian Tang

“…The fast and accurate segmentation of lung nodule image sequences is the basis of subsequent processing and diagnostic analyses. However, previous research investigating nodule segmentation algorithms cannot entirely segment cavitary nodules, and the segmentation of juxta-vascular nodules is inaccurate and inefficient. …”
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Separable Reversible Data Hiding in Encrypted 3D Mesh Models Based on Spatial Clustering and Multi-MSB Prediction by Y. Mao, Y. Xu

“…Reversible data hiding in the encrypted domain (RDH-ED) involves performing data encryption to protect privacy and hiding data for covert communication or access control. Current research mainly focuses on exploring spatial correlation of adjacent vertices and local spatial correlation to reserve embedding space, while ignoring global spatial correlation, limiting embedding capacity. …”
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A novel image segmentation method based on spatial autocorrelation identifies A-type potassium channel clusters in the thalamus by Csaba Dávid, Kristóf Giber, Katalin Kerti-Szigeti, Mihály Köllő, Zoltan Nusser, Laszlo Acsady

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Hypergraph Self-Supervised Learning-Based Joint Spectral-Spatial-Temporal Feature Representation for Hyperspectral Image Change Detection by Ping Jian, Yimin Ou, Keming Chen

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Spatial multi-omics analysis of tumor-stroma boundary cell features for predicting breast cancer progression and therapy response by Yuanyuan Wu, Youyang Shi, Zhanyang Luo, Xiqiu Zhou, Yonghao Chen, Xiaoyun Song, Sheng Liu

“…In this area, the interactions between malignant and non-malignant cells influence tumor progression, immune evasion, and drug resistance. However, the spatial transcriptional profile of the tumor boundary and its role in the prognosis and treatment response of breast cancer remain unclear.MethodUtilizing the Cottrazm algorithm, we reconstructed the intricate boundaries and identified differentially expressed genes (DEGs) associated with these regions. …”
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Current and Future Spatial Distribution of the <i>Aedes aegypti</i> in Peru Based on Topoclimatic Analysis and Climate Change Scenarios by Alex J. Vergara, Sivmny V. Valqui-Reina, Dennis Cieza-Tarrillo, Candy Lisbeth Ocaña-Zúñiga, Rocio Hernández, Sandy R. Chapa-Gonza, Erick A. Aquiñivin-Silva, Armstrong B. Fernández-Jeri, Alexandre Rosa dos Santos

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Application of the Correlation Measurement Method for Reconstructing of the Velocity Profile with Spatial and Temporal Discretization in Studies of the Hydrodynamics of Turbulent F... by S. M. Dmitriev, A. E. Khrobostov, D. N. Solncev, A. A. Barinov, A. A. Chesnokov, I. A. Konovalov, M. A. Makarov, T. K. Zyryanova

“…The correlation method for measuring of the coolant fl rate is used in the operation of nuclear power plants and is widespread in research practice including study of turbulent fl    hydrodynamics. …”
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Spatial-temporal data analysis of digital twin [version 1; peer review: 1 approved, 2 approved with reservations] by Qian Ai, Lei Tang, Xing He, Bo Pan, Robert Qiu

“…The goal of this research is to summarize the best practices that make the spatial-temporal data analytically tractable in a systematic and quantifiable manner. …”
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Research on tracking strategy of manipulator based on fusion reward mechanism by Ruyi Dong, Kai Yang, Tong Wang

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Investigating Transfer Learning in Noisy Environments: A Study of Predecessor and Successor Features in Spatial Learning Using a T-Maze by Incheol Seo, Hyunsu Lee

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Disease Detection Algorithm for Tea Health Protection Based on Improved Real-Time Detection Transformer by Zhijie Lin, Zilong Zhu, Lingling Guo, Jingjing Chen, Jiyi Wu

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Research on dynamic uplift of contact wires in high-speed railway by TANG Yang

“…Subsequently, an intelligent locating point recognition and classification method was proposed, based on the random forest algorithm. By using the inflection points of contact wire staggers as locating points, and leveraging existing detection data for the geometric parameters of the overhead contact systems, the voting results from the random forest algorithm were considered standards for determining the final locating points. …”
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A Novel Forest Dynamic Growth Visualization Method by Incorporating Spatial Structural Parameters Based on Convolutional Neural Network by Linlong Wang, Huaiqing Zhang, Kexin Lei, Tingdong Yang, Jing Zhang, Zeyu Cui, Rurao Fu, Hongyan Yu, Baowei Zhao, Xianyin Wang

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The technique for approximation of three-dimensional surfaces in order to synthesize algorithms for preventing aircraft collisions with obstacles by A. V. Vorobyev, A. M. Lelikov, V. V. Stryy

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Geospatial cost and emission assessment of universal fiber-to-the-neighborhood (FTTnb) broadband infrastructure strategies for Sub-Saharan Africa by Ogutu B Osoro, Edward J Oughton, Fabion Kauker

“…Here, we design least-cost fiber-to-the-neighborhood (FTTnb) architectures using two spatial optimization Steiner tree algorithms to jointly determine investment costs, environmental emissions, and social carbon costs. …”
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