An Efficient PSInSAR Method for High-Density Urban Areas Based on Regular Grid Partitioning and Connected Component Constraints by Chunshuai Si, Jun Hu, Danni Zhou, Ruilin Chen, Xing Zhang, Hongli Huang, Jiabao Pan

“…A graph-based connected component constraint mechanism was introduced to resolve multi-component segmentation issues within sub-blocks to preserve discontinuous PS information. …”
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Mapping urban functional zones with remote sensing and geospatial big data: a systematic review by Shouhang Du, Xiuyuan Zhang, Yichen Lei, Xin Huang, Wei Tu, Bo Liu, Qingyan Meng, Shihong Du

“…Spatial analysis units encompass regular grids, road blocks, image segmentation units, traffic analysis zones, and buildings. …”
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A Hybrid Algorithm for Contour Thinning in Image Processing by Mamatov Narzullo, Niyozmatova Nilufar, Jalelova Malika, Samijonov Abdurashid, Samijonov Boymirzo

“…Typically, an initial captured image undergoes pre-processing, followed by segmentation. Segmentation results directly depend on the results of image processing stage. …”
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QRNet: A Quaternion-Based Retinex Framework for Enhanced Wireless Capsule Endoscopy Image Quality by Vladimir Frants, Sos Agaian

“…Despite advantages, WCE encounters issues with video quality and diagnostic accuracy, often resulting in missing rates of 1–20%. …”
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Quantification and Analysis of Group Sentiment in Electromagnetic Radiation Public Opinion Events by Qinglan Wei, Xinyi Ling, Jiqiu Hu

“…By incorporating Jieba Chinese word segmentation technology, this study introduces an innovative data collection method based on topic similarity, significantly improving data accuracy. …”
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Implementation of Gotong Royong Value in Increasing National Resilience during The New Normal Order by Fawait Syaiful Rahman, Yatno Isworo

“…Pandemic Covid-19 has been running in Indonesia for more than two years, synergy in policies and persuasion measures from policy makers is indispensable, so that national issues can be minimized. The government has made various efforts, including macro and micro social restrictions in order to maintain and rebuild national economic resilience. …”
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A Balanced Mission Planning for Multiple Unmanned Underwater Vehicles in Complex Marine Environments by Tianbo Li, Siqing Sun, Huachao Dong, Dezhou Qin, Dashun Liu

“…Secondly, to ensure mission load distribution and collaboration among multi-UUVs, and ease the difficulty in solving the issues of mission allocation and route planning, a balanced bi-level mission planning method based on regional segmentation is proposed. …”
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A crack detection model fusing local details and global context for nuclear cladding coating surfaces by Wei Quan, Xiwen Li, Jie Yang, Zhaoyu Chen

“…Moreover, a multi-scale convolutional attention module based on channel segmentation is developed to aggregate multi-scale contextual information, enhance skip connections, and improve the model’s ability to perceive and represent crack features at various scales. …”
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Ensuring the performance of external communications: An informal classification of target groups by Mikhail V. Rodchenkov

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PVLF: point-voxel local feature fusion for 3D detection by Haowei Zhao, Zhuolei Xiao

“…To address the potential complex computational issues in the convolution process, we have designed an innovative Adaptive Sparse Convolution (ASC) module that effectively eliminates redundant information in the feature layer. …”
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Book public pages in Instagram by T. D. Rubanova

“…The peculiarity of the Russian-language Instagram segment is that for many users it has become the platform for text self-expression and discussions (including on reading issues). …”
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A Multi-Scale attention network for building extraction from high-resolution remote sensing images by Jing Chang, Xiaohui He, Dingjun Song, Panle Li, Mengjia Qiao, Xijie Cheng

“…Abstract The information in remote sensing images often leads to incomplete building contours and suboptimal adaptability to complex building scenes. To address these issues, we propose a novel multi-scale network with dual attention mechanisms to extract clear building boundaries. …”
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IR-ADMDet: An Anisotropic Dynamic-Aware Multi-Scale Network for Infrared Small Target Detection by Ning Li, Daozhi Wei

“…IR-ADMDet also outperforms contemporary segmentation-based approaches.…”
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Enhancing the Thermal Inspection of Buildings Using Texture Analysis by Setayesh Hesam, Reza Khoshkbary Rezayiye, Clemente Ibarra-Castanedo, Xavier Maldague

“…A deep learning method is employed to segment visible images texturally. Thermal images are then analyzed based on the resulting segmentation. …”
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Patterns with Equal Values in Permutation Entropy: Do They Really Matter for Biosignal Classification? by David Cuesta–Frau, Manuel Varela–Entrecanales, Antonio Molina–Picó, Borja Vargas

“…A number of variations or customizations to the original PE method to address these issues have been proposed in the scientific literature recently. …”
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An analysis approach for high-field fMRI data from awake non-human primates. by Steffen Stoewer, Jozien Goense, Georgios A Keliris, Andreas Bartels, Nikos K Logothetis, John Duncan, Natasha Sigala

“…There are several reasons for this, including the trial-based nature of NHP experiments, with inter-trial periods being of no interest, and segmentation artefacts and distortions that may result from field changes due to movement. …”
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Improving YOLOv11 for marine water quality monitoring and pollution source identification by Fang Wang

“…Abstract Marine pollution has become an increasingly severe environmental issue, with oil spills, marine debris, and turbid water significantly impacting ecosystems and human health. …”
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ASLDetect: Arabic sign language detection using ResNet and U-Net like component by Naif Alasmari, Sultan Asiri

“…However, recognizing Arabic Sign Language (ArSL) in real-world settings remains challenging due to issues like background noise, lighting variations, and hand occlusions. …”
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Research on Long-Distance Snow Depth Measurement Method Based on Improved YOLOv8 by Jia-Wen Wang, Yu Cao, Zong-Kai Guo, Cheng Xu

“…To address these issues, this paper proposes a snow depth detection method based on an improved YOLOv8-seg model, named YOLOv8-AE. …”
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