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  1. 901

    Adaptive building engineering component extraction model based on DSOD by Na Lv, Xuan Yang

    Published 2025-06-01
    “…With the purpose to bring up the extraction efficiency and accuracy of building construction image component information, the dense block structure and loss function were proposed to optimize the deep supervised object detection algorithm, and an adaptive building construction component extraction model based on this algorithm was constructed. …”
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  2. 902

    The Ion Formation and Quantitative Response of Isoprene, Monoterpenes and Terpenoids in Ion Mobility Spectrometry with Atmospheric-Pressure Chemical Ionization as a Function of Tem... by Thomas Mayer, Ralf Petrich, Helko Borsdorf

    Published 2024-12-01
    “…In this study, we investigated the ion formation processes and the quantitative response of isoprene, monoterpenes and monoterpenoids as a function of the temperature of the spectrometer using a tritium ionization source. …”
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  3. 903

    HGCS—A Multiplex Transmission Method for Wide-Area Unmanned Aerial Vehicle Cluster Inspection Data in Hybrid Networked Transmission Lines by Ruchao Liao, Xionggang Li, Jinchao Guo, Wenxing Sun, Guoqiang Li

    Published 2024-01-01
    “…The HGCS algorithm in comparison to the existing algorithms uses the innovative hybrid approach, exploiting the strengths of different components to get an optimal balance between computational efficiency and resource utilization. These results show that HGCS is a robust choice to deal with fault detection in less time with a fair distribution of resources.…”
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  4. 904

    Dark Ship Detection via Optical and SAR Collaboration: An Improved Multi-Feature Association Method Between Remote Sensing Images and AIS Data by Fan Li, Kun Yu, Chao Yuan, Yichen Tian, Guang Yang, Kai Yin, Youguang Li

    Published 2025-06-01
    “…Dark ships, vessels deliberately disabling their AIS signals, constitute a grave maritime safety hazard, with detection efforts hindered by issues like over-reliance on AIS, inadequate surveillance coverage, and significant mismatch rates. …”
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  5. 905

    Fabrication effect on SLM and cast Inconel 718 properties for energy conversion by Hafiz Muzammil Irshad, Ameeq Farooq, Muhammad Ammar, Abbas Saeed Hakeem, Bilal Anjum Ahmed, Samaneh Shahgaldi, Muhammad Ali Ehsan, Khalid Askar

    Published 2025-09-01
    “…This study investigates the effect of fabrication methods on the microstructural, mechanical, and electrochemical durability of nickel alloy IN718, aiming to establish it as a cost-effective electrode material for direct seawater electrolysis using renewable energy sources. Selective laser melting (SLM) and conventional casting methods were used to fabricate IN718 alloy electrodes. …”
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  8. 908

    Design of a Non-Destructive Seed Counting Instrument for Rapeseed Pods Based on Transmission Imaging by Shengyong Xu, Rongsheng Xu, Pan Ma, Zhenhao Huang, Shaodong Wang, Zhe Yang, Qingxi Liao

    Published 2024-12-01
    “…Human–machine interaction software based on PyQt5 was developed, integrating functions such as communication between upper and lower machines, image acquisition, storage, and processing. …”
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  9. 909

    An Expected Value-Based Symmetric–Asymmetric Polygonal Fuzzy Z-MCDM Framework for Sustainable–Smart Supplier Evaluation by Mohammad Hashemi-Tabatabaei, Maghsoud Amiri, Mehdi Keshavarz-Ghorabaee

    Published 2025-02-01
    “…The rapid adoption of these technologies has led to the emergence of smart SCM, which integrates modern technologies in sourcing, production, distribution, and sales. Supplier evaluation and selection (SES) in smart SCM is a strategic decision impacting the entire supply chain. …”
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  10. 910

    New Cation Sensors Based on Eugenol-Derived Azo Dyes by José R. A. Coelho, Ana Rita F. Pacheco, Diogo C. Domingues, Ana Rita O. Rodrigues, Akani A. Temitope, Paulo J. G. Coutinho, Maria José G. Fernandes, Elisabete M. S. Castanheira, M. Sameiro T. Gonçalves

    Published 2025-06-01
    “…Eugenol-based azo dyes illustrate how bio-sourced compounds like eugenol can be transformed through synthetic processes into functional and colorful compounds. …”
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  11. 911
  12. 912

    The Relationship Between Soil and Gut Microbiota Influences the Adaptive Strategies of Goitered Gazelles in the Qaidam Basin by Yiran Wang, Bin Li, Bo Xu, Wen Qin

    Published 2024-12-01
    “…Interactions with soil microbiota can shape the composition and function of the gut microbiota, thereby influencing the hosts’ adaptive strategies. …”
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  16. 916

    Design and Development of a Public AI Referee Assistance System Based on Harmony OS Platform by Jingjing Zhao, Chang Zhu, Bo Leng, Jiantao Qi

    Published 2025-03-01
    “…Its main function is to use computer vision technology to make correct and fair judgments on controversial decisions in badminton matches. …”
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  17. 917

    Respiratory Rate Estimation from Thermal Video Data Using Spatio-Temporal Deep Learning by Mohsen Mozafari, Andrew J. Law, Rafik A. Goubran, James R. Green

    Published 2024-10-01
    “…Thermal videos provide a privacy-preserving yet information-rich data source for remote health monitoring, especially for respiration rate (RR) estimation. …”
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  18. 918

    Do capture and survey methods influence whether marked animals are representative of unmarked animals? by John R. Fieberg, Kurt Jenkins, Scott McCorquodale, Clifford G. Rice, Gary C. White, Kevin White

    Published 2015-12-01
    “…The lone exception to this rule was for the cohort of radiocollared moose in Minnesota, which exhibited a slight decrease in detection probabilities over time. Differences in detection probabilities for marked and unmarked animals may not be a significant problem for sightability models, provided that the source of the variability can be captured by model covariates (e.g., heterogeneity is tied to an individual's propensity to be in heavy cover). …”
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  19. 919

    Machine Learning Aided Resilient Spectrum Surveillance for Cognitive Tactical Wireless Networks: Design and Proof-of-Concept by Eli Garlick, Nourhan Hesham, MD. Zoheb Hassan, Imtiaz Ahmed, Anas Chaaban, MD. Jahangir Hossain

    Published 2025-01-01
    “…Due to the vast nature of interference signals in the frequency bands used by cognitive TWNs, it is non-trivial to acquire manually labeled data sets of all interference signals. Detecting the presence of an unknown and remote interference source in a frequency band from the transmitter end is also challenging, especially when the received interference power remains at or below the noise floor. …”
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  20. 920