Academic Journal

IAR-Net: A Human–Object Context Guided Action Recognition Network for Industrial Environment Monitoring

التفاصيل البيبلوغرافية
العنوان: IAR-Net: A Human–Object Context Guided Action Recognition Network for Industrial Environment Monitoring
المؤلفون: Mehta, Naval Kishore, Prasad, Shyam Sunder, Saurav, Sumeet, Saini, Ravi, Singh, Sanjay
المساهمون: project “Resource Constrained AI” funded by the Ministry of Electronics and Information Technology (MeitY), India
المصدر: IEEE Transactions on Instrumentation and Measurement ; volume 73, page 1-8 ; ISSN 0018-9456 1557-9662
بيانات النشر: Institute of Electrical and Electronics Engineers (IEEE)
سنة النشر: 2024
نوع الوثيقة: article in journal/newspaper
اللغة: unknown
DOI: 10.1109/tim.2024.3379075
الاتاحة: http://dx.doi.org/10.1109/tim.2024.3379075
http://xplorestaging.ieee.org/ielx7/19/10367905/10517873.pdf?arnumber=10517873
Rights: https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html ; https://doi.org/10.15223/policy-029 ; https://doi.org/10.15223/policy-037
رقم الانضمام: edsbas.B153C089
قاعدة البيانات: BASE
الوصف
DOI:10.1109/tim.2024.3379075