?url_ver=Z39.88-2004&rft_id=doi%3A10.1109%2FACCESS.2024.3365528&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.au=Jamil%2C+Azhar&rft.aulast=Jamil&rft.aufirst=Azhar&rft.pages=1-1&rft.issn=2169-3536&rft.atitle=Deep+Learning+Approaches+for+Image+Captioning%3A+Opportunities%2C+Challenges+and+Future+Potential&rft.date=Febrero+2024&rft.title=IEEE+Access&rft.genre=article