Enhancing Reliability in Redundant Homogeneous Sensor Arrays with Self-X and Multidimensional Mapping by Elena Gerken, Andreas König

“…This demonstrates the concrete benefit of sensor redundancy and DR algorithms for creating robust, fault-tolerant measurement systems.…”
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Speech Enhancement Algorithms: A Systematic Literature Review by Sally Taha Yousif, Basheera M. Mahmmod

“…A growing and pressing need for Speech Enhancement Algorithms (SEAs) has emerged with the proliferation of hearing devices and mobile devices that aim to improve speech intelligibility without sacrificing speech quality. …”
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Particle algorithms for animal movement modelling in receiver arrays by Edward Lavender, Andreas Scheidegger, Carlo Albert, Stanisław W. Biber, Janine Illian, James Thorburn, Sophie Smout, Helen Moor

“…We find the particle smoothing methodology outperforms heuristic methods across the board. Particle‐based maps represent simulated movements more accurately, even in dense receiver arrays, and are better suited to analyses of home ranges, residency and habitat preferences. …”
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MRI R2* and quantitative susceptibility mapping in brain tissue with extreme iron overload by Christoph Birkl, Marlene Panzer, Christian Kames, Anna Maria Birkl-Toeglhofer, Alexander Rauscher, Bernhard Glodny, Elke R. Gizewski, Heinz Zoller

“…Results R2* values varied significantly across algorithms, particularly in the putamen (F(5,50) = 16.51, p < 0.001). …”
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Learning Condition-Invariant Scene Representations for Place Recognition across the Seasons Using Auto-Encoder and ICA by Tariqul Islam, Sheikh Rabiul Islam, Mahbubur Rahman

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UAVs-Based Visual Localization via Attention-Driven Image Registration Across Varying Texture Levels by Yan Ren, Guohai Dong, Tianbo Zhang, Meng Zhang, Xinyu Chen, Mingliang Xue

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Accurate Paddy Rice Mapping Based on Phenology-Based Features and Object-Based Classification by Jiayi Zhang, Lixin Gao, Miao Liu, Yingying Dong, Chongwen Liu, Raffaele Casa, Stefano Pignatti, Wenjiang Huang, Zhenhai Li, Tingting Tian, Richa Hu

“…However, high-quality rice mapping products at high resolutions are still scarce around the Inner Mongolia Autonomous Region. …”
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Integrating Landsat, Sentinel-2 and Sentinel-1 time series for mapping intermediate crops by Kassandra Jensch, Gohar Ghazaryan, Stefan Ernst, Patrick Hostert, Claas Nendel

“…Here, we propose a classification algorithm that combines field data, satellite imagery from multiple optical sensors and synthetic-aperture radar (SAR) data to map intermediate crops across Brandenburg, Germany. …”
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A robust approach to satellite image encryption using chaotic map and circulant matrices by Shamsa Kanwal, Saba Inam, Asghar Ali Shah, Halima Iqbal, Anas Bilal, Muhammad Usman Hashmi, Raheem Sarwar

“…The algorithm initiates with computing alterations by a shift amount. …”
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Integrating GIS and remote sensing for soil attributes mapping in degraded pastures of the Brazilian Cerrado by Rômullo Oliveira Louzada, Ivan Bergier, Édson Luis Bolfe, Jayme Garcia Arnal Barbedo

“…Elevation and GLCM metrics emerged as key predictors across depths. These findings highlight the effectiveness of integrating diverse remote sensing data with ML for soil attributes mapping, particularly for clay and CEC.…”
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Mapping and quantifying deforestation in the Zambezi ecoregion of Central-Southern Africa: extent and spatial structure by Héritier Khoji Muteya, Héritier Khoji Muteya, Dieu-donné N’tambwe Nghonda, Dieu-donné N’tambwe Nghonda, François Malaisse, Jan Bogaert, Yannick Useni Sikuzani

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Bridge Crack Segmentation Algorithm Based on Improved U-Net by Yanhao Fang, Jie LYu, Yonghua Xia, Yingke Wang

“…Experimental results show that it outperforms other algorithms in accuracy and improves upon the original U-Net across all metrics, with mIoU (Mean Intersection over Union) and F1-Score increasing by 1.23% and 1.89%, respectively.…”
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Spatiotemporal Analysis of Soil Moisture Variability and Precipitation Response Across Soil Texture Classes in East Kazakhstan by Dmitry Chernykh, Roman Biryukov, Andrey Bondarovich, Lilia Lubenets, Anatoly Pavlenko, Kamilla Rakhymbek, Denis Revenko, Zheniskul Zhantassova

“…This study analyzed soil moisture within the root zone (0–28 cm depth). A JavaScript-based algorithm was developed in Google Earth Engine to analyze soil moisture and total precipitation across five Soil Texture Index categories during the growing seasons (April–September) of 2013, 2022, and 2023. …”
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Cloud Removal Algorithm by Combining MODIS and VIIRS Snow Products by Xiaoyan Wang, Shi Liang, Yanlong Shen, Hui Guo, Zhiqi Ouyang

“…However, differences in cloud identification algorithms lead to significant discrepancies in cloud and snow distribution between MODIS and VIIRS snow products. …”
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Leveraging Explainable Artificial Intelligence in Solar Photovoltaic Mappings: Model Explanations and Feature Selection by Eduardo Gomes, Augusto Esteves, Hugo Morais, Lucas Pereira

“…We analyzed the impact values provided by the Shapley additive explanation method when applied to two algorithms designed for tabular data—XGBoost and TabNet—and conducted a comprehensive evaluation of the overall model and across seasons. …”
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Interactive image segmentation algorithm based on adaptive kernel learning by LONG Jianwu, LI Jihao

“…Experimental results demonstrate that the proposed algorithm overperforms existing approaches across all evaluation metrics, achieving outstanding performance, and it validates the effectiveness and universality of the algorithm in handling complex scenarios.…”
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Corneal stromal mapping characteristics in normal corneas using anterior segment SD-OCT by Mohammad Abusamak, Mohammad Abusamak, Sara Mazen Issa, Amal F. Alomari, Husam A. Alsalamat, Husam A. Alsalamat, Nour S. Haj Ali, Abdallah Izmegna, Mais Shawashreh, Mahmoud Abu Samak, Talal M. Abusamak, Talal M. Abusamak

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Visual navigation and crop mapping of a phenotyping robot MARS-PhenoBot in simulation by Zhengkun Li, Rui Xu, Changying Li, Longsheng Fu

“…Additionally, a field mapping workflow based on RTAB-MAP (Real-Time Appearance-Based Mapping) and V-SLAM (Visual Simultaneous Localization and Mapping) was developed. …”
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A Hierarchical Machine Learning-Based Strategy for Mapping Grassland in Manitoba’s Diverse Ecoregions by Mirmajid Mousavi, James Kobina Mensah Biney, Barbara Kishchuk, Ali Youssef, Marcos R. C. Cordeiro, Glenn Friesen, Douglas Cattani, Mustapha Namous, Nasem Badreldin

“…This study developed a novel pixel-based grassland classification approach using three supervised machine learning (ML) algorithms, which were assessed in the province of Manitoba, Canada. …”
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Algorithmic Coverage Quantification and Visualization in Range-Free Sensor Networks by Maria S. Zakynthinaki, Ioannis S. Barbounakis, Emmanuel N. Antonidakis

“…Interactive satellite maps facilitate the dynamic exploration of coverage via the calculation and visualization of the resulting detection areas. …”
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