Speckle Noise Removal in OCT Images via Wavelet Transform and DnCNN by Fangfang Li, Qizhou Wu, Bei Jia, Zhicheng Yang

“…Finally, the Inverse Wavelet Transform is applied to the fused coefficients to reconstruct the denoised OCT image in the spatial domain. This reconstruction step maintains structural integrity and enhances diagnostic clarity by preserving essential spatial features. (3) Results: The MSE, PSNR, and SSIM indices of the proposed algorithm in this paper were 4.9052, 44.8603, and 0.9514, respectively, achieving commendable results compared to other algorithms. …”
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Pathways to 30 × 30: Evidence-Based Lessons from Global Case Studies in Biodiversity Conservation by Susmita Dasgupta, David Wheeler, Brian Blankespoor

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Monitoring and Modeling Urban Temperature Patterns in the State of Iowa, USA, Utilizing Mobile Sensors and Geospatial Data by Clemir Abbeg Coproski, Bingqing Liang, James T. Dietrich, John DeGroote

“…Thorough investigations into air temperature variation across urban environments are essential to address concerns about city livability. With limited research on smaller cities, especially in the American Midwest, the goal of this research was to examine the spatial patterns of air temperature across multiple small to medium-sized cities in Iowa, a relatively rural US state. …”
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Logatom articulation index evaluation of speech enhanced by blind source separation and single-channel noise reduction by Szymon DRGAS, Jędrzej KOCIŃSKI, Aleksander P. SĘK

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An improved enterprise development optimizer based on labor migration for numerical optimization by Dawei Zhao, Leidong Feng, Yijiang Wang, Xinyu Cai, Xiang Liu

“…These shortcomings restrict the performance of the algorithm in some complex problem. This research proposes an improved EDO, called LMEDO, in which EDO is integrated with incorporates time-phase based switching strategy, economy-driven guided based learning strategy and spatial selectivity-based selection strategy to improve convergence rate, stability, and search effectiveness. …”
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A Framework for Synergy Measurement Between Transportation and Production–Living–Ecological Space Using Volume-to-Capacity Ratio, Accessibility, and Coordination by Xiaoyi Ma, Mingmin Liu, Jingru Huang, Ruihua Hu, Hongjie He

“…Empirical research indicates that the improved accessibility indicators can precisely identify the transportation location value of regional functional cores, while the composite coordination indicators can deconstruct the spatiotemporal matching characteristics of “transportation facilities—spatial functions,” providing a dual decision-making basis for the redevelopment of existing space. …”
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Distributed and Parallel Path Query Processing for Semantic Sensor Networks by Sung-Jae Jung, Dong-Min Seo, Seungwoo Lee, Hwan-Min Kim, Hanmin Jung

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Intelligibility of speech processed by a spectral contrast enhancement procedure and a binaural procedure by A. Sęk, E. Skrodzka, E. Ozimek, A. Wicher

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A Fuzzy-Logic-Based Approach for Eliminating Interference Lines in Micro Rain Radar (MRR-2) by Kwonil Kim, GyuWon Lee

“…This research presents a novel fuzzy-logic-based algorithm aimed at detecting and removing interference lines from Micro Rain Radar (MRR-2) data. …”
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Enhancing DBSCAN Accuracy and Computational Efficiency Using Closest Access Point Pre-Clustering for Fingerprint-Based Localization by Abdulmalik Shehu Yaro, Filip Maly, Pavel Prazak

“…This is benchmarked against the performances of the standard DBSCAN (s-DBSCAN) and k-means++-DBSCAN (k-DBSCAN) algorithms presented in previous research. Simulation results show that the CAP-DBSCAN algorithm consistently outperforms both the s-DBSCAN and k-DBSCAN algorithms, achieving higher silhouette scores, which indicates the generation of more compact and well-defined clusters. …”
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Application of Short-Range LIDAR in Early Alerting for Low-Level Windshear and Turbulence at Hong Kong International Airport by K. K. Hon, P. W. Chan, Y. Y. Chiu, Wenbo Tang

“…This paper takes the pilot reports for Runway 25RA during the 2013 field research as verification samples, using different thresholds for radial wind velocity spatial and temporal changes detected by the short-range LIDAR to calculate the relative operating characteristic (ROC) curve, and analyzes its early alerting performance.…”
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Stress testing of the development of Russian regions in the context of external economic restrictions by I. V. Danilova, A. V. Rezepin, N. V. Pravdina

“…Purpose: is to develop the model for stress testing of the impact of external constraints of Russian regions in the context of foreign economic constraints 2022–2023.Methods: the research is based on the theory of economic dynamics, regional economy and spatial development, the concept of the BANI world; the methodological basis of the study is a scenario approach to the formation of the stress testing model and the algorithm for determining the expected impact based on the machine learning method – the artificial neural network.Results: the study of scientific publications on the research topic, analysis of shock events, post-shock consequences (2006–2022) made it possible to substantiate feasibility of testing and differentiating the response of Russian regions to external constraints, applying the criteria of “shock-resistant” development, classifying economic space and identifying the territory with “shock-resistant” and “non-shockresistant”reactions. …”
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Untargeted pixel-by-pixel metabolite ratio imaging as a novel tool for biomedical discovery in mass spectrometry imaging by Huiyong Cheng, Dawson Miller, Nneka Southwell, Paola Porcari, Joshua L Fischer, Isobel Taylor, J Michael Salbaum, Claudia Kappen, Fenghua Hu, Cha Yang, Kayvan R Keshari, Steven S Gross, Marilena D'Aurelio, Qiuying Chen

“…The algorithm described herein is applicable to any MSI dataset containing spatial information for metabolites, peptides or proteins, offering a potent hypothesis generation tool to enhance knowledge obtained from current spatial metabolite profiling technologies.…”
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Early Detection of Slight Bruises in Yellow Peaches (<i>Amygdalus persica</i>) Using Multispectral Structured-Illumination Reflectance Imaging and an Improved Ostu Method by Jian Wu, Chenlin Liu, Aiguo Ouyang, Bin Li, Nan Chen, Jing Wang, Yande Liu

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In Situ Monitoring and Numerical Experiments on Vertical Deformation Profiles of Large-Scale Underground Caverns in Giant Hydropower Stations by Hao Wu, Jian Liu, Xiaogang Wang, Lipeng Liu, Zhenhua Tian

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Ultrasound-based Eigenfrequency Analysis to Determine Material Parameters of Tissue Mimicking Phantoms by Heim Christian, Huber Christian M., Ullmann Ingrid, Lyer Stefan, Rupitsch Stefan J.

“…One approach is to use magnetomotive ultrasound (MMUS) to monitor the spatial distribution over time. However, the spatial distribution of SPIONs cannot be quantitatively determined applying basic MMUS algorithms. …”
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Spatiotemporal High-Resolution Cloud Mapping with a Ground-Based IR Scanner by Benjamin Brede, Boris Thies, Jörg Bendix, Uwe Feister

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Planning and layout of tourism and leisure facilities based on POI big data and machine learning. by Shifeng Wu, Jiangyun Wang, Yinuo Jia, Jintian Yang, Jixiu Li

“…The spatial arrangement of tourism cities and the strategic placement of tourism and leisure facilities are pivotal to the development of smart tourism cities. …”
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A Multistep Framework for Vision Based Vehicle Detection by Hai Wang, Yingfeng Cai

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Evaluation by accessibility index differences of the cross-border potential for general inpatient care in the Ems-Dollart Region, a Dutch-German cross-border area by Sebastian Specht, Helge Schnack, Andreas Hein

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