Improved stereo matching network based on dense multi-scale feature guided cost aggregation by ZHANG Bo, ZHANG Meiling, LI Xue, ZHU Lei

“…Secondly, the initial cost volume was obtained by concatenating left feature maps with their corresponding right feature maps across each disparity level. …”
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Deep transcriptomics reveals cell-specific isoforms of pan-neuronal genes by Zachery Wolfe, David Liska, Adam Norris

“…Global splicing maps reveal several striking observations, including pan-neuronal genes harboring cell-specific splice variants, and abundant differential intron retention across neuron types. …”
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The battle for TNCs in Latin America: navigating policy trends and sociotechnical controversies in the regulation of ride-hailing platforms by Ronald Sáenz-Leandro

“…Over the past decade, the proliferation of Transportation Network Companies (TNCs), such as Uber, DiDi, and Cabify, has significantly disrupted urban mobility across Latin America, igniting intense regulatory debates and clashes in city streets. …”
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Universal Vector Calibration for Orientation-Invariant 3D Sensor Data by Wonjoon Son, Lynn Choi

“…For bidirectional step detection, the proposed algorithm with vector calibration improved step detection accuracy from 67.63% to 99.25% and forward/backward classification from 65.54% to 100% across various device orientations.…”
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Remote Sensing Based Crop Monitoring Techniques: A Case Study for the Navajo Nation by V. Thangavel, S. Nagarajan, M. Arockiasamy, Md. T. Khan, G. Sklivanitis

“…It covers 27,425 square miles across Arizona, Utah, and New Mexico and has a population of 165,158 people, according to the 2020 census. …”
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SpectralEarth: Training Hyperspectral Foundation Models at Scale by Nassim Ait Ali Braham, Conrad M. Albrecht, Julien Mairal, Jocelyn Chanussot, Yi Wang, Xiao Xiang Zhu

“…To close this gap, we introduce <italic>SpectralEarth</italic>, a large-scale multitemporal dataset designed to pretrain hyperspectral foundation models leveraging data from the environmental mapping and analysis program (EnMAP). SpectralEarth comprises 538 974 image patches covering 415 153 unique locations from 11 636 globally distributed EnMAP scenes spanning two years of archive. …”
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SR-YOLO: Spatial-to-Depth Enhanced Multi-Scale Attention Network for Small Target Detection in UAV Aerial Imagery by Shasha Zhao, He Chen, Di Zhang, Yiyao Tao, Xiangnan Feng, Dengyin Zhang

“…Compared to the baseline algorithm YOLOv8s, our SR-YOLO algorithm has improved mAP@0.5 by 6.3% and 3.5% and mAP@0.5:0.95 by 3.8% and 2.3% on the datasets VisDrone2019 and RSOD, respectively. …”
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Enhancing Cross-Modal Camera Image and LiDAR Data Registration Using Feature-Based Matching by Jennifer Leahy, Shabnam Jabari, Derek Lichti, Abbas Salehitangrizi

“…The pipeline’s accuracy is tested using survey-grade terrestrial datasets from the TX5 scanner, as well as datasets from a custom-made, low-cost mobile mapping system (MMS) named Simultaneous Localization And Mapping Multi-sensor roBOT (SLAMM-BOT) across diverse scenes, in which both outperformed their baseline solutions. …”
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An Automatic Movement Monitoring Method for Group-Housed Pigs by Ziyuan Liang, Aijun Xu, Junhua Ye, Suyin Zhou, Xiaoxing Weng, Sian Bao

“…The F1 scores of the trained YOLOv8m-seg model during training were greater than 90% across most confidence levels, and the model achieved an mAP50-95 of 0.96. …”
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Infrared Small Target Detection, High-Precision Localization and Segmentation: Using TDU Kernel by C. Ding, S. Chen, H. Liu, Z. Luo, J. Zhang

“…Aiming at the challenge of infrared small target detection with different shape and size under the different scene, a novel algorithm architecture is proposed using the kernel of Target Detection Unit (TDU). …”
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Tensor-FLAMINGO unravels the complexity of single-cell spatial architectures of genomes at high-resolution by Hao Wang, Jiaxin Yang, Xinrui Yu, Yu Zhang, Jianliang Qian, Jianrong Wang

“…Beyond the sparse 2D contact maps, the complete 3D chromatin conformations promote an avenue to understand the dynamics of spatially coordinated molecular processes across different cells.…”
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Hexapod robot motion planning investigation under the influence of multi-dimensional terrain features by Chen Chen, Chen Chen, Junbo Lin, Junbo Lin, Bo You, Bo You, Jiayu Li, Jiayu Li, Biao Gao, Biao Gao

“…The proposed methodology systematically extracts multi-dimensional geometric and physical terrain features from a multi-layered environmental map. Based on these features, a traversal cost map is synthesized, and an enhanced A* algorithm is developed that incorporates terrain traversal metrics to optimize path planning safety across complex field environments. …”
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Distributed Statistical Analyses: A Scoping Review and Examples of Operational Frameworks Adapted to Health Analytics by Félix Camirand Lemyre, Simon Lévesque, Marie-Pier Domingue, Klaus Herrmann, Jean-François Ethier

“…Although distributed algorithms offer alternatives, they may not always be suitable for health frameworks. …”
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Forest classification and carbon stock estimation with integration of airborne LiDAR and satellite Gaofen-6 data in a subtropical region by Ruoqi Wang, Dengsheng Lu, Guiying Li, Yisa Li, Wenjing Liu

“…The inclusion of LCE variables consistently improved FCS estimation performance across all stratification schemes, while CHD-based stratification improved FSC estimation only when the LCE metrics were included. …”
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Plasticulture detection at the country scale by combining multispectral and SAR satellite data by Alessandro Fabrizi, Peter Fiener, Thomas Jagdhuber, Kristof Van Oost, Florian Wilken

“…We used cloud computing, freely available optical and radar satellite images, and machine learning to map plastic-mulched farmland (PMF) and plastic cover above vegetation (PCV) (e.g., greenhouse, tunnel) across Germany. …”
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Exploring suicidal thoughts among prospective university students: a study with applications of machine learning and GIS techniques by Mohammed A. Mamun, Firoj Al-Mamun, Md Emran Hasan, Nitai Roy, Moneerah Mohammad ALmerab, David Gozal, Md. Shakhaoat Hossain

“…Logistic regression analysis identified significant risk factors, while Machine Learning algorithms, including CatBoost and K-Nearest Neighbors, were used for prediction. …”
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Assessing water clarity in the Chesapeake Bay using satellite-derived Secchi disk depth by Seunghyun Son, Nikolay P. Nezlin, Veronica P. Lance

“…Satellite SDD maps from MODIS-Aqua and VIIRS-SNPP were generated using CB-SDD algorithm to analyze spatiotemporal variations of water clarity in the Chesapeake Bay. …”
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A tool for global and regional Landsat 7 and Landsat 8 cross-sensor harmonization by Galen Richardson, Anders Knudby, Koreen Millard, Wenjun Chen

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Mechanism–Data Collaboration for Characterizing Sea Clutter Properties and Training Sample Selection by Wenhao Chen, Yong Zou, Zhengzhou Li, Shengrong Zhong, Haolin Gan, Aoran Li

“…Multi-feature-based maritime radar target detection algorithms often rely on statistical models to accurately characterize sea clutter variations. …”
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Point Cloud Fusion of Human Respiratory Motion Under Multi-View Time-of-Flight Camera System: Voxelization Method Using 2D Voxel Block Index by Jiadun Wang, Shengtao Li, Kai Huang

“…Our algorithm first constructs a voxelized scene from multi-view depth maps. …”
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