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

“…Finally, nonlinear water optimization combined K-means clustering segmentation, topology and spectral inspection, and small-area removal are designed to supplement some missed water bodies and remove some non-water bodies. …”
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Unveiling environmental identities: a mixed methods analysis of non-profit communication by Ibe Delvaux, Wendy Van den Broeck

“…To address environmental issues, it is important to strengthen individuals' environmental self-identities. …”
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MMS-EF: A Multi-Scale Modular Extraction Framework for Enhancing Deep Learning Models in Remote Sensing by Hang Yu, Weidong Song, Bing Zhang, Hongbo Zhu, Jiguang Dai, Jichao Zhang

“…However, due to the complexity of remote sensing images, deep learning models face practical challenges in the preprocessing stage, such as incomplete extraction of large-scale geographic features, loss of fine details, and misalignment issues in image stitching. To address these issues, this paper introduces the Multi-Scale Modular Extraction Framework (MMS-EF) specifically designed to enhance deep learning models in remote sensing applications. …”
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Reclaiming Urban Spaces: A Systemic Approach to Integrated Pedestrian‐Centric City Design in Rio de Janeiro by Carlo Andrea Biraghi, Hadi Mohammad Zadeh, Andrea Bruschi, Massimo Tadi

“…Pedestrian areas can have greenery, which helps address the issues raised by climate change. Repurposing existing roads is a priority in many cities worldwide whose aim is to improve their social and environmental performance. …”
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A music structure analysis method based on beat feature and improved residual networks. by Bing Lu, Qianxue Zhang, Yi Guo, Fuqiang Hu, Xuejun Xiong

“…Music structure analysis (MSA) contains two tasks, boundary detection and segment labeling. Boundary detection and Segment labeling are expected to accurately divide music segments and clarify the function. …”
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Errors Impacts of Multi-5G Waveforms in Cognitive Radio Systems by Mokhalad Alghrairi, Aqeel k. Kadhim, Manar Adnan Nassrat, Bayan Mahdi Sabbar, Saad Mutashar

“…The demand for new wireless services within frequency bands has increased due to the exponential growth of wireless communication, leading to issues related to spectrum scarcity. This paper proposes a hybrid technique-based Spectrum Sensing (SS) algorithm. …”
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Student behavior recognition based on multi-view learning via mask RCNN and its application in education management by Fei Xiao

“…Behavior recognition technology has a wide range of applications, but only refers to the field of security applications, due to the intrusion of anti-terrorism issues, governments, security departments, enterprise organizations and institutions around the world have increased security vigilance. …”
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Decision Making Support System for the Diagnostics of the Cardiovascular System Pathologies by the X-ray Images of the Chest by A. G. Radzhabov

“…One of the most impor tant issues in solving the problems of automating the classification of medical images is data preparation. …”
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LiDAR point cloud denoising for individual tree extraction based on the Noise4Denoise by Xiangfei Lu, Zongyu Ye, Liyong Fu, Huaiyi Wang, Kaiyu Wang, Yaquan Dou, Dongbo Xie, Xiaodi Zhao

“…The processing of LiDAR point cloud data is of critical importance in the context of forest resource surveys, as well as representing a pivotal element in the realm of forest physiological and ecological studies.Nonetheless, conventional denoising algorithms frequently exhibit deficiencies with regard to adaptability and denoising efficacy, particularly when employed in relation to disparate datasets.To address these issues, this study introduces DEN4, an unsupervised, deep learning-based point cloud denoising algorithm designed to improve the accuracy of single tree segmentation in LiDAR point clouds.DEN4 introduces a multilevel noise separation module that effectively distinguishes between signal and noise, thereby improving the signal-to-noise ratio (SNR) and reducing the error.The experimental results demonstrate that DEN4 significantly outperforms traditional denoising methods in several key metrics, including mean square error (MSE), SNR, Hausdorff distance, and structural similarity index (SSIM).In the 60 sample dataset, DEN4 achieved the best mean and standard deviation on all metrics: Specifically, the MSE mean was found to be 0.0094, with a standard deviation of 0.0008, the SNR mean was 149.1570, with a standard deviation of 0.5628, the Hausdorff mean was 0.8503, with a standard deviation of 0.0947, and the SSIM mean was 0.8399, with a standard deviation of 0.0054. …”
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INFORMATIONAL AND ANALYTICAL SUPPORT OF THE SYSTEM OF ENTERPRISE`S PERFORMANCE MANAGEMENT by Є. І. Масленніков, О. В. Побережець

“…The article deals with issues on informational and analytical support of the system of industrial enterprise’s performance management. …”
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UNESCO’s Proceedings, 1945–2017: A Bilingual Digital Text Corpus by Benjamin G. Martin, Fredrik Mohammedi Norén, Roger Mähler, Andreas Marklund, Oriane Martin

“…The corpus offers reuse potential for scholars interested in any of the countless issues that have been discussed and debated in UNESCO’s General Conference over more than seventy years, as well as to Natural Language Processing (NLP) developers interested in the challenges of language recognition and automated segmentation.…”
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Ensuring information security in the production network of an industrial enterprise by A. R. Aydynan, D. G. Kirsanov

“…The purpose of this article is to explore issues and develop approaches to enhance information security in the production control networks of industrial enterprises to the necessary level. …”
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Walkability Evaluation of Historical and Cultural Districts Based on Multi-Source Data: A Case Study of the Former Russian Concession in Hankou by Haoran She, Jing Sun, Yuchen Zeng, Wenyu Tu, Guang Ao, Wei Shang

“…The development of pedestrian systems and the improvement in street walkability have become important issues in the preservation and renewal of these districts. …”
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Leveraging SWOT Analysis for Sharia Cooperative Management System Improvement by Rahmawati Keny, Indra Prawira Rifki, Prapascatama Agusdin Riza, Kusuma Satria Negara Hari

“…The analysis reveals strengths in user segmentation, Sharia compliance, and feature offerings, while identifying significant weaknesses in the system's design and functionality. …”
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Deep learning-based image classification for integrating pathology and radiology in AI-assisted medical imaging by Chenming Lu, Jiayin Zhang, Ren Liu

“…Experimental results demonstrate significant improvements in diagnostic accuracy, segmentation precision, and reconstruction fidelity across diverse imaging modalities, validating the potential of this framework to bridge the gap between AI innovation and clinical utility.…”
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Soil-Water Characteristic Curve Model Based on Particle Size Distribution and Pellicular Water by ZHU Shi-wang, LI Shuang-yang, JIANG Qi, ZHAO Jian-yuan, ZHOU Shang-qi, LIU Hui-ying

“…Traditional models for predicting soil-water characteristic curve (SWCC) based on particle size distribution curve require segmentation of the curve when calculating water content and often neglect the pellicular water (also known as film water) content on the surface of soil particles. …”
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Two key algorithms for intelligent inspection robots in electric bicycle charging sheds by Yingjian An, Ge Wei

“…This paper proposes two enhanced algorithms to address these issues: (1) a multi-root node RRT* (MS-RRT*) for efficient narrow-channel path planning, and (2) an improved SOLOv2-based instance segmentation method for small-target recognition. …”
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Spondylocostal dysostosis with split cord malformation in a resource-limited setting: A case report by Kidus Demelash, MD, Suleiman Belay, MD, Haymanot Alebachew, MD, Gebreegziabher Hailay, MD, Fire Yishar, MD, Abate Weldetsadik, MD

“…Spondylocostal dysostosis (SCD) is a rare congenital disorder marked by severe vertebral and rib malformations, often resulting in thoracic insufficiency and respiratory issues. This report presents an 11-day-old neonate with persistent respiratory distress and chest wall deformities, found to have multiple rib agenesis, vertebral segmentation defects, and an associated split cord malformation (SCM). …”
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Customer management in B2B markets in the context of digitalization by M. V. Orlova, V. V. Orlov

“…Customer management based on the initial segmentation of customers, and then interaction with them in accordance with their position lead to a significant improvement in productivity. …”
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Design analysis of public health-oriented based on space syntax in Busan by Longlong Zhang, Ying Song, Jiameng Xu

“…This study utilizes space syntax theory, focusing on topological relationships, to analyze the spatial accessibility, connectivity, and structure of urban areas in Busan through spatial scaling and segmentation. Using key space syntax variables such as connectivity, control, and depth, the study evaluates these spatial characteristics. …”
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