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  1. 1461

    Distribution of early-branching Cyanobacteriia and the potential habitats that gave rise to the earliest oxygenic phototrophs by Christen Grettenberger, David A. Gold, C. Titus Brown

    Published 2025-02-01
    “…However, we do not know how long this process may have taken. To help constrain how long this process would have taken, it is necessary to understand where the earliest Cyanobacteria may have lived. …”
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  2. 1462

    Optimum Combination of Spectral Variables for Crop Mapping in Heterogeneous Landscapes based on Sentinel-2 Time Series and Machine Learning by J. G. de Oliveira Júnior, J. C. D. M. Esquerdo, J. C. D. M. Esquerdo, R. A. C. Lamparelli, R. A. C. Lamparelli

    Published 2024-11-01
    “…Subsequently, the variables that showed the highest statistical correlation between each other were used in the spectro-temporal classification process, using the Random Forest, TempCNN, and LightTAE algorithms, following three different strategies: C1 (ALL), C2 (BE + IV <sub>(Red Edge)</sub>) and C3 (BE + IV <sub>(without Red Edge)</sub>), where ALL &ndash; All variables; BE &ndash; Spectral Bands; IV &ndash; Vegetation Indices. …”
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  3. 1463

    Boundary aware microscopic hyperspectral pathology image segmentation network guided by information entropy weight by Xueying Cao, Hongmin Gao, Ting Qin, Min Zhu, Ping Zhang, Ping Zhang, Peipei Xu, Peipei Xu

    Published 2025-03-01
    “…We further designed a grouped multi-scale edge feature extraction module to optimize the fusion process between the encoder and decoder, with the goal of optimize boundary details and emphasizing relevant channel representations. …”
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  4. 1464

    Effects of Fabrication Parameters on the Properties of Parts Manufactured with Selective Laser Sintering: Application on Cement-Filled PA12 by Abdelrasoul M. Gadelmoula, Saleh A. Aldahash

    Published 2019-01-01
    “…However, the fabrication parameters in the SLS process need to be tailored for each end-use fabricated product. …”
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  5. 1465

    RGB Pixel Combination Method for Underwater Camouflaged Image Categorization Using Graph Neural Networks by K Dhamodharan, Thanapal Pandi

    Published 2025-01-01
    “…In the edge detection and object classification process, color features are utilized, relying on RGB variants observed near the edges of the foreground and background images. …”
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  6. 1466

    Machinability Research on TiAlN Coated Carbide Tool High-Feed Milling Superalloy by YAO Chang-feng, CHEN Guang-chao, HUANG Qin, YANG Guo-wang

    Published 2018-06-01
    “…The axial cutting force increased from 854 N to 1 863 N in the process of the blunt; The impact on the life of tool more significant is the cutting speed,When the cutting speed is increased to 110 m /min,the tool life is just 2 min; Through spectroscopy worn area nearby the cutting edge,a lot of Ni,Fe,Cr and other elements which belong to GH4169 materials were found,so adhesive and flaking and chipping of cutting edge caused by thermal cracking are the main form of tool wear.…”
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  7. 1467

    Research on Meso-Damage Experiment and Simulation in the Anchorage Bonding Interface Between Rock Bolt and Rock Mass by Yaxin Liu, Minglu Xing, Tongbin Zhao, Fenghai Yu, Longfei Li, Shiwei Chen, Xiaohao Wang

    Published 2024-01-01
    “…As the load increases, cracks emerge from the top of the rib and the edge of the rib angle of the rock bolt and propagate to the deep anchorage along the edge of the costal angle, resulting in damage at the rock mass interface. …”
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  8. 1468

    Investigation on Designing and Development of a Selective Laser Melting Manufactured Gas Turbine Blade—Proof-of-Concept by Mihaela Raluca Condruz, Tiberius Florian Frigioescu, Gheorghe Matache, Adina Cristina Toma, Teodor Adrian Badea

    Published 2025-05-01
    “…Visual inspection revealed manufacturing limitations, particularly in the cooling channels at the leading and trailing edges. The trailing edge was too thin to accommodate the 0.5 mm channel diameter, and the channels in the leading edge were undersized and potentially clogged with unmelted powder. …”
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  9. 1469

    Methodology for Engineering Calculation of the Working Body for Continuous Fallow Field Tillage by S. I. Kambulov, V. B. Rykov, I. B. Bozhko, D. S. Podlesnyy

    Published 2022-12-01
    “…It enables continuous fallow field tillage taking into account the soil physical and mechanical properties and the required indicators of the technological process.…”
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  10. 1470

    Development of a Wireless Sensor Network and IoT-based Smart Irrigation System by Juliana Ngozi Ndunagu, Kingsley Eghonghon Ukhurebor, Moses Akaaza, Robert Birundu Onyancha

    Published 2022-01-01
    “…The data collected are then analyzed at the edge server and updated every 15 minutes. Based on the threshold value, the system starts pumping water or stops the irrigation process depending on the irrigation schedule. …”
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    Article
  11. 1471

    Mitigating cloud vulnerabilities using a blockchain platform by Dina Zoughbi, Kavitha Venkatachalam

    Published 2025-04-01
    “…The use of explainable AI techniques adds transparency to the decision-making process, increasing user trust. Hence, the advanced neural networks, coupled with cloud and edge computing, can significantly optimize CBIR systems, making them more robust, scalable, and applicable to a wide range of industries such as healthcare, security, and e-commerce.…”
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  12. 1472

    Numerical Simulation Study of Rotating Structure for Large Tonnage Asymmetric T-Shaped Rigid Swiveling Bridge by Enhui Zhang, Yuchen Wu, Sai Guo, Peng Li, Hong Li

    Published 2024-12-01
    “…In order to study the change law of mechanical characteristic parameters of the steel spherical hinge of swiveling bridges in the process of rotation, a T-shaped rigid swiveling bridge over railway is used as a research target in this paper, and a three-dimensional bridge finite element model was constructed. …”
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  13. 1473

    Optimization of trusted wireless sensing models based on deep reinforcement learning for ISAC systems by Hao Zhang, Yi Jing, Wenhui Xu, Ronghui Zhang

    Published 2024-12-01
    “…Challenges include computational disparities among edge sensing nodes, network transmission differences, and the non‐independent and identically distributed (non‐IID) nature of local training datasets. …”
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  14. 1474

    Securable networked scheme with face authentication by Da‐You Huang, Chun‐Liang Lin, Yang‐Yi Chen

    Published 2022-03-01
    “…Wide applications are associated with a large amount of data transmission so that edge computing is inspired accordingly. In this research task, the major goal of edge computing is to handover a part of the computing work to the terminal equipment; the server only needs to process the results of final return. …”
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  15. 1475

    Optimization on multifractal loss landscapes explains a diverse range of geometrical and dynamical properties of deep learning by Andrew Ly, Pulin Gong

    Published 2025-04-01
    “…Our model unifies and explains a broad range of realistic geometrical signatures of loss landscapes, including clustered degenerate minima, multiscale structure, and rich optimization dynamics in deep neural networks, such as the edge of stability, non-stationary anomalous diffusion, and the extended edge of chaos without requiring fine-tuning parameters. …”
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  16. 1476

    Adjunctive Techniques for Repair of Ischaemic Mitral Regurgitation by Sigrid L Johannesen, Colin M Barker, Melissa M Levack

    Published 2021-12-01
    “…Ischaemic mitral regurgitation is a complex process with debate in the literature as to the optimal treatment pathway. …”
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  17. 1477

    LMAD-YOLO: A vehicle image detection algorithm for drone aerial photography based on multi-scale feature fusion. by Xue Xing, Fahui Luo, Le Wan, Kang Lu, Yuqi Peng, Xiujuan Tian

    Published 2025-01-01
    “…The LMAD-YOLO model is proposed, and the MultiEdgeEnhancer module is designed to enhance the edge information and enhance the feature capture through a series of operations. …”
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  18. 1478

    基于ANSYS/LS-DYNA的准双曲面齿轮动力学接触仿真分析 by 马雪洁, 谢刚, 王小林

    Published 2005-01-01
    “…Dynamic emulate analysis of hypoid gear is operated with ANSYS/LS-DYNA software.The contact stress and deformation during the meshing process are got.The distribution of contact force is calculated when two pairs of teeth contacting simultaneously.And the edge contact phenomena is solved.…”
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  19. 1479

    Industrial-Grade 3D Detection for Laser Cleaning of Metallic Components Based on Neural Radiance Fields and Temporal-Spatial Learning by Dandan Qi

    Published 2025-01-01
    “…The algorithm is used for accurate monitoring of metal laser cleaning process. By designing a multi-modal sensing system and combining the NeRF optimization strategy of Octree scene partitioning, high-fidelity reconstruction of the rust edge and micro-cracks on the metal surface is achieved. …”
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  20. 1480

    Morphological evolution of the Qingshuigou subaqueous delta of the Yellow River before and after the operation of the Xiaolangdi Reservoir (1997-2007) by Jiarui Zhang, Qing Wang, Chao Zhan, Zilu Li, Yin Cao, Haojian Wang, Zeyang Liu, Limeng Yu, Qiuyu Song, Yan Li, Teng Su, Jun Zhu, Hongyuan Shi

    Published 2024-12-01
    “…The findings are as follows: (1) The morphological evolution of the Qingshuigou Subaqueous delta has gradually changed from the pattern of “leading edge deposition and localized near-shore erosion” before the construction of the Xiaolangdi Reservoir to the pattern of “enhanced leading edge deposition and increased near-shore erosion” after the construction. (2) The construction of Xiaolangdi Reservoir has weakened the spatial distribution of the erosion process to a certain extent, changing the spatial distribution dominated by the erosion process (63.8% of area) before the construction to the spatial distribution dominated by the accretion process (More than 50% of area) after the construction. (3) The spatial and temporal variability of the incoming sediments leads to a significant coarsening of the grain size of the tidal flats in the southern part of the abandoned delta, which in turn maintains a relatively steady state of the shoreline variability. …”
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