Multi-modal remote perception learning for object sensory data
Findings demonstrate considerable enhancements in object detection and semantic analysis when compared to the methodologies that are currently being utilized.
Authors
- Nouf Abdullah Almujally (ORCID: https://orcid.org/0000-0003-4405-9912)
- Abdulwahab Alazeb (ORCID: https://orcid.org/0000-0001-9661-7440)
- Mohammed Alonazi (ORCID: https://orcid.org/0000-0003-1862-7250)
- Asaad Algarni (ORCID: https://orcid.org/0000-0002-0817-5775)
- Adnan Ahmed Rafique (ORCID: https://orcid.org/0000-0002-3049-3921)
- Naif Al Mudawi
- Hui Liu (ORCID: https://orcid.org/0009-0005-7201-6903)
- Ahmad Jalal (ORCID: https://orcid.org/0009-0000-8421-8477)
Institutions
- Princess Nourah bint Abdulrahman University (SA)
- Northern Border University (SA)
- Prince Sattam Bin Abdulaziz University (SA)
- University of Bremen (DE)
- Korea University (KR)
- University of Poonch Rawalakot
- Najran University (SA)
- Air University (PK)
Publication Details
- Journal
- Frontiers in Neurorobotics
- Published
- 2024-09-19
- DOI
- https://doi.org/10.3389/fnbot.2024.1427786
- Citations
- 49
- Primary Topic
- Advanced Neural Network Applications
- Type
- article
- Field-Weighted Citation Impact
- 12.21
Funders
- Prince Sattam bin Abdulaziz University
- Deutsche Forschungsgemeinschaft
- Princess Nourah Bint Abdulrahman University
- Najran University
- Universität Bremen