Search alternatives:
collaborative » collaboration (Expand Search)
Showing 221 - 240 results of 2,174 for search 'collaborative detection', query time: 0.10s Refine Results
  1. 221

    Bibliometric Insights into Advances in Nondestructive Testing Techniques for Delamination Detection by Abdulwahd, Abdulrazaq. K., Mugisha, Simon, Chavula, Petros, Kayusi, Fredrick

    Published 2025
    “…This study presents a comprehensive bibliometric analysis of advances in nondestructive testing (NDT) techniques for delamination detection, based on 4,382 publications indexed in Scopus from 2021 to 2025. …”
    Get full text
    Article
  2. 222

    Cooperator and Defector-Based Dynamic Community Detection in Social Networks by Hui Jiang, Chenlin Zhao, Zhexi Guo, Tangyu Wang

    Published 2025-01-01
    “…Dynamic community detection in social networks requires advanced methods to capture the intricate patterns of user interactions. …”
    Get full text
    Article
  3. 223
  4. 224

    Using Anomaly Detection to Search for Technosignatures in Breakthrough Listen Observations by Snir Pardo, Dovi Poznanski, Steve Croft, Andrew P. V. Siemion, Matthew Lebofsky

    Published 2025-01-01
    “…We implement a machine learning algorithm to search for extraterrestrial technosignatures in radio observations of several hundred nearby stars, obtained with the Parkes and Green Bank Telescopes by the Breakthrough Listen collaboration. Advances in detection technology have led to an exponential growth in data, necessitating innovative and efficient analysis methods. …”
    Get full text
    Article
  5. 225

    Recent Advances in Microfluidic Impedance Detection: Principle, Design and Applications by Yigang Shen, Zhenxiao Wang, Tingyu Ren, Jianming Wen, Jianping Li, Tao Tang

    Published 2025-06-01
    “…We hope this work will provide novel research perspectives for advancing microfluidic impedance detection technology while stimulating interdisciplinary collaboration among researchers in biology, medicine, chemistry, and physics to propel technological innovation collectively.…”
    Get full text
    Article
  6. 226

    Isfahan Artificial Intelligence Event 2023: Reflux Detection Competition by Azra Rasouli Kenari, Ahmadreza Montazerolghaem, Zahra Zojaji, Mehdi Ghatee, Behnam Yousefimehr, Amin Rahmani, Mahdi Kalani, Farnoush Kiyanpour, Mohamad Kiani-Abari, Mohammad Yasin Fakhar, Safiyeh Rezaei, Mojtaba Tahernia, Mohammad Hossein Vafaie, Hamidreza Besharatnezhad, Vahid Rahimi Bafrani, Mohamad Taghi Tofighi, Peyman Adibi Sedeh, Maryam Soheilipour, Hossein Rabbani

    Published 2025-02-01
    “…Achieving success necessitates the seamless collaboration of two key components: a reflux definition criteria protocol established by gastrointestinal experts and a comprehensive analysis of MII data for reflux detection. …”
    Get full text
    Article
  7. 227

    Geographical information based false report filtering scheme in wireless sensor networks by Zhi-xiong LIU, Jian-xin WANG

    Published 2012-02-01
    “…A geographical information based false reports filtering scheme(GFFS)in sensor networks was presented.In GFFS,each node distributes its location information to some other nodes after deployment.When a report was generated for an observed event,it must carry not only MACs from t detecting nodes with distinct key partitions,but also locations of these nodes.Each forwarding node checks not only the correctness of the MAC and the locations carried in the report,but also the legitimacy of the locations.Analysis and simulation results demonstrate that GFFS can resist collaborative false data injection attacks and thus can tolerate much more compromised nodes than existing schemes.…”
    Get full text
    Article
  8. 228
  9. 229

    SARE: an optimized method for detection functional regulatory elements in genome by Mohammadjavad Hosseinpoor

    Published 2025-04-01
    “…Approximately 70% of the detected interactions overlapped with known enhancer–promoter pairs, while the remaining 30% potentially represent novel regulatory mechanisms. …”
    Get full text
    Article
  10. 230
  11. 231

    AI in dermatology: a comprehensive review into skin cancer detection by Kavita Behara, Ernest Bhero, John Terhile Agee

    Published 2024-12-01
    “…Continuous innovation and interdisciplinary collaboration will be essential for fully realizing the benefits of AI in skin cancer detection and diagnosis.…”
    Get full text
    Article
  12. 232
  13. 233

    The effects of environmental sustainability orientation on the sustainable performance, the mediating role of green supply chain management and moderating role of environmental col... by Mohamed Knouch, Hamza Lefkir, Hassan Ali Alqahtan

    Published 2025-01-01
    “…However, no such effect was detected for the moderating role of environmental collaboration on the links between GSCM and SP. …”
    Get full text
    Article
  14. 234
  15. 235
  16. 236
  17. 237

    Adaptive Cooperative Search Algorithm for Air Pollution Detection Using Drones by Il-kyu Ha

    Published 2025-05-01
    “…Although studies have focused on single-drone applications, collaborative applications for air pollution detection are relatively underexplored. …”
    Get full text
    Article
  18. 238

    Cost-effectiveness of chronic obstructive pulmonary disease population screening in China: based on individual data from WHO Collaborating Centre-initiated ‘Enjoying Breathing Prog... by Tiantian Zhang, Jiahuan Ai, Ke Huang, Peiyao Lu, Xiao Tang, Jieping Lei, Xue Li, Esther W. Chan, Qiming Wen, Xiaoqin Wen, Fang Fang, Cunbo Jia, Ian C. K. Wong, Jie Jiang, Ting Yang, Chen Wang, on behalf of Enjoying Breathing Program

    Published 2025-04-01
    “…Abstract Background Chronic obstructive pulmonary disease (COPD) imposes a significant and growing burden on China and the world. Early detection and diagnosis may be an effective way to alleviate this severe pressure on public health. …”
    Get full text
    Article
  19. 239
  20. 240

    Method of detecting IRC Botnet based on the multi-features of traffic flow by Jian-en YAN, Chun-yang YUAN, Hai-yan XU, Zhao-xin ZHANG

    Published 2013-10-01
    “…cwere analyzed in different periods such as data-clustering,data-similarity,the average length of packet,peak of synchronized traf?c,and peak of collaborative synchronized traf?c,and these characteristics were used to detect the botnet.In analyzing,improved max-min distance means and k-means cluster analysis algorithm were also presented to promote the efficiency of data clustering.At last,the availability of the method was verified by experiment.…”
    Get full text
    Article