MeDML: Med-Dynamic Meta Learning - A multi-layered representation to identify provider fraud in healthcare by Nitish Kumar, Deepak Chaurasiya, Alok Singh, Siddhartha Asthana, Kushagra Agarwal, Ankur Arora

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An investigation of inversion method to measure the radial velocity of Kuroshio from Sentinel-1 SAR data by Benhua Tan, Lihua Wang, Dechen Ge, Zhen Fang, Weiwei Sun, Tian Feng

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Analysis of Sulawesi Earthquake Data from 2019 to 2023 using DBSCAN Clustering by Ody Octora Wijaya, Rushendra

“…This study analyses earthquake occurrence data in the Sulawesi region from 2019 to 2023 using clustering methods with the DBSCAN algorithm. The utilization of the DBSCAN algorithm was chosen for its ability to cluster data based on spatial density, well-suited for analyzing the spatial patterns of earthquakes. …”
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FOCMLAD approach： angle estimation for MMW-FMCW radar under unknown correlated clutter noise by Mao Yuqian, Sheng Jisong, Zhang Lianjiang, Wang Qiang

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Combining Global Features and Local Interoperability Optimization Method for Extracting and Connecting Fine Rivers by Jian Xu, Xianjun Gao, Zaiai Wang, Guozhong Li, Hualong Luan, Xuejun Cheng, Shiming Yao, Lihua Wang, Sunan Shi, Xiao Xiao, Xudong Xie

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Community privacy estimation method based on key node method in space social Internet of Things by Guobin Chen, Tangsen Huang

“…First, the user’s spatial social network is divided into communities, and the core nodes of the community in the spatial social network are calculated by PageRank algorithm and the convergence of the algorithm is proved. …”
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Robotic Hand–Eye Calibration Method Using Arbitrary Targets Based on Refined Two-Step Registration by Zining Song, Chenglong Sun, Yunquan Sun, Lizhe Qi

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Downscaling of Soil Moisture Map using Sentinel Radar Satellite Images and Distribution Analysis in the West of Iran by Seyed Hossein Mirmosavi, kohzad Raispour, Muhammad Kamangar

“…Field data collected from the Kurdistan Agricultural Research Center were used to validate the output. Spatial criterion deviation and Moran statistic were calculated to investigate the direction of scattering and spatial autocorrelation. …”
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Fluid Equation-Based and Data-Driven Simulation of Special Effects Animation by Yujuan Deng

“…This paper also considers the needs of computer fluid animation simulation in terms of computational accuracy and simulation efficiency, takes high real-time, high interactivity, and high physical accuracy of simulation algorithm as the research focus and target, and proposes a solution algorithm and acceleration scheme based on deep neural network framework for the key problems of simulation of natural phenomena including smoke and liquid. …”
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The Improved MNSPI Method for MODIS Surface Reflectance Data Small-Area Restoration by Meixiang Wang, Wenjuan Zhang, Bowen Wang, Xuesong Ma, Peng Qi, Zixiang Zhou

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Geometry and Topology Correction of 3D Building Models with Fragmented and Disconnected Components by Ahyun Lee

“…The proposed two-stage approach combines geometric refinement via duplicate vertex removal with topological refinement using a novel spatial partitioning-based Depth-First Search (DFS) algorithm for connected mesh clustering. …”
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High-resolution Canada domain disturbance forcings suitable for land surface modeling applications by Jason Beaver, Salvatore R. Curasi, Joe R. Melton, Elyn R. Humphreys, Txomin Hermosilla, Michael A. Wulder

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A Travel Demand Response Model in MaaS Based on Spatiotemporal Preference Clustering by Songyuan Xu, Yuqi Liang, Jing Zuo

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Population distribution by selected road network elements - comparison of centroids, geocoded addresses, built-up areas and total areas on the example of Slovak communes by Bačík Vladimír, Klobučník Michal

“…For such purpose, a geocoding algorithm from Google was used, for which it was possible to prepare a final dot map layer without any terrain layout, as the geocoding algorithm processes only simple text addresses of the relevant spatial units. …”
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Prior Knowledge-Informed Graph Neural Network with Multi-Source Data-Weighted Fusion for Intelligent Bogie Fault Diagnosis by Yuanxing Huang, Bofeng Cui, Xianqun Mao, Jinsong Yang

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Innovative design of wood texture images for indoor furniture based on variable space by Chuan Xue, Ling Jin

“…The results of comparing the proposed algorithm with other image processing algorithms showed that the research algorithm achieved a peak signal-to-noise ratio of 29.86 and a structural similarity index of 0.87 in image denoising, respectively, and had a good denoising effect. …”
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From homogeneity to heterogeneity: Refining stochastic simulations of gene regulation by Seok Joo Chae, Seolah Shin, Kangmin Lee, Seunggyu Lee, Jae Kyoung Kim

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A framework for automatically generating composite keywords for geo-tagged street images

“…The framework operates through four phases: extraction, abstraction, composition, and assessment. Our research highlights the benefits of combining visual and spatial analyses, demonstrated through a case study using geo-tagged urban street images from Orlando, Pittsburgh, and Manhattan. …”
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Comprehensive Validation of MODIS-MAIAC Aerosol Products and Long-Term Aerosol Detection over an Urban–Rural Area Around Rome in Central Italy by Valentina Terenzi, Patrizio Tratzi, Valerio Paolini, Antonietta Ianniello, Francesca Barnaba, Cristiana Bassani

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Passenger Travel Regularity Analysis Based on a Large Scale Smart Card Data by Qi Ouyang, Yongbo Lv, Yuan Ren, Jihui Ma, Jing Li

“…Using SPARK platform, this paper proposes a trip reconstruction algorithm and adopts the density-based spatial clustering of application with noise (DBSCAN) algorithm to mine the travel patterns of each Smart Card (SC) user in Beijing. …”
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