Author Correction: A streamlined approach for intelligent ship object detection using EL-YOLO algorithm

Affiliations

• ¹ Faculty of Engineering, Technology and Built Environment, UCSI University, Kuala Lumpur, Malaysia. 1002266257@ucsiuniversity.edu.my.
• ² Faculty of Engineering, Technology and Built Environment, UCSI University, Kuala Lumpur, Malaysia. mahmudis@ucsiuniversity.edu.my.
• ³ Department of Electrical and Information Engineering, Faculty of Engineering, Universitas Gadjah Mada, Bulaksumur, Yogyakarta, 55281, Indonesia.
• ⁴ Faculty of Engineering, Technology and Built Environment, UCSI University, Kuala Lumpur, Malaysia.
• ⁵ School of Computer Science and Technology (School of Software), Guangxi University of Science and Technology, Liuzhou, Guangxi, China.
• ⁶ School of Advanced Manufacturing, Shantou Polytechnic, Shantou, China.