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Authors
Al-Buraihy, Emran
Wang, Dan
Hussain, Tariq
Attar, Razaz Waheeb
AlZubi, Ahmad Ali
Zaman, Khalid
Gan, Zengkang
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Funding
Funding for this research was provided by:
Princess Nourah bint Abdulrahman University Researchers Supporting Project (PNURSP2025R 343)
King Saud University, Riyadh, Saudi Arabia (RSP2025R395)
Post-doctoral Foundation Project of Shenzhen Polytechnic University (6024331021K)
Department of Education of Guangdong Province (2024GCZX014)
Key Area Special Project of Guangdong Provincial Department of Education (6022210111K, 2022ZDZX3071)
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Article History
Received: 12 February 2025
Accepted: 16 May 2025
First Online: 4 June 2025
Declarations
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: We confirm that relevant guidelines and regulations are carried out in all methods. This paper does not contain any studies involving humans or animals. This study does not require any ethical board approval because there was no human interaction in the study.
: The authors declare no competing interests.
: Hereby, it is consciously assured that for the manuscript “AraTraditions10k: Bridging Cultures with a Comprehensive Dataset for Enhanced Cross-Lingual Image Annotation, Retrieval and Tagging” the following is fulfilled: 1) This material is the author’s original work, which has not been previously published elsewhere. 2) The paper is not currently being considered for publication elsewhere. 3) The paper reflects the author’s research and analysis truthfully and completely. 4) The paper properly credits the meaningful contributions of co-authors and co-researchers. 5) The results are appropriately placed in the context of prior and existing research. 6) All sources used are properly disclosed (correct citation). Literally copying of text must be indicated as such by using quotation marks and giving proper references. 7) All authors have been personally and actively involved in substantial work leading up to the paper and will take public responsibility for its content.
