TY - JOUR
T1 - Corrigendum to “Hybrid Sine-Cosine Chimp optimization based feature selection with deep learning model for threat detection in IoT sensor networks” [Alex. Eng. J. 102 (2024) 169-178, (S1110016824005210), (10.1016/J.AEJ.2024.05.051)]
AU - Alkhonaini, Mimouna Abdullah
AU - Mazroa, Alanoud Al
AU - Aljebreen, Mohammed
AU - Ben Haj Hassine, Siwar
AU - Allafi, Randa
AU - Dutta, Ashit Kumar
AU - Alsubai, Shtwai
AU - Khamparia, Aditya
N1 - Publisher Copyright:
© 2025 The Authors
PY - 2025/3
Y1 - 2025/3
N2 - The authors would like to update the Grant ID in the funding statement as: PNURSP2024R510. “The corrected acknowledgement statement would be: The authors extend their appreciation to the Deanship of Research and Graduate Studies at King Khalid University for funding this work through Large Research Project under grant number RGP2/84/45. Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2024R510), Princess Nourah bint Abdulrah man University, Riyadh, Saudi Arabia. Research Supporting Project number (RSP2024R459), King Saud University, Riyadh, Saudi Arabia. The authors extend their appreciation to the Deanship of Scientific Research at Northern Border University, Arar, KSA for funding this research work through the project number “NBU-FPEJ-2024–170–01”. The author would like to thank Prince Sultan University for their support. Ashit Kumar Dutta would like to express sincere gratitude to AlMaarefa University, Riyadh, Saudi Arabia, for providing funding to conduct this research. Shtwai Alsubai would like to express sincere gratitude to supported by funding from Prince Sattam bin Abdulaziz University project number (PSAU/2024/R/1445).“ The authors would like to apologise for any inconvenience caused.
AB - The authors would like to update the Grant ID in the funding statement as: PNURSP2024R510. “The corrected acknowledgement statement would be: The authors extend their appreciation to the Deanship of Research and Graduate Studies at King Khalid University for funding this work through Large Research Project under grant number RGP2/84/45. Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2024R510), Princess Nourah bint Abdulrah man University, Riyadh, Saudi Arabia. Research Supporting Project number (RSP2024R459), King Saud University, Riyadh, Saudi Arabia. The authors extend their appreciation to the Deanship of Scientific Research at Northern Border University, Arar, KSA for funding this research work through the project number “NBU-FPEJ-2024–170–01”. The author would like to thank Prince Sultan University for their support. Ashit Kumar Dutta would like to express sincere gratitude to AlMaarefa University, Riyadh, Saudi Arabia, for providing funding to conduct this research. Shtwai Alsubai would like to express sincere gratitude to supported by funding from Prince Sattam bin Abdulaziz University project number (PSAU/2024/R/1445).“ The authors would like to apologise for any inconvenience caused.
UR - http://www.scopus.com/inward/record.url?scp=105001059074&partnerID=8YFLogxK
U2 - 10.1016/j.aej.2024.12.096
DO - 10.1016/j.aej.2024.12.096
M3 - Comment/debate
AN - SCOPUS:105001059074
SN - 1110-0168
VL - 115
SP - 622
JO - Alexandria Engineering Journal
JF - Alexandria Engineering Journal
ER -