Items where Author is "Fan, Luxin"

Fan, Luxin and Tang, Sai Hong and Ariffin, Mohd Khairol Anuar B.Mohd and Ismail, Mohd Idris Shah (2026) A real-time detection framework for road cracks in noisy and morphologically complex environments. Scientific Reports, 16 (1). art. no. 10107. pp. 1-20. ISSN 2045-2322

Fan, Luxin and Tang, Saihong and Mohd Ariffin, Mohd Khairol Anuar and Ismail, Mohd Idris Shah and Wang, Xinming (2025) Impact of image preprocessing and crack type distribution on YOLOv8-based road crack detection. Sensors, 25 (7). art. no. 2180. ISSN 1424-8220

Shen, Jiazheng and Tang, Saihong and Zhao, Ruixin and Fan, Luxin and Mohd Ariffin, Mohd Khairol Anuar and As’arry, Azizan (2025) Development of an improved Jellyfish Search (JS) algorithm for solving the optimal path problem of multi-robot collaborative multi-tasking in complex vertical farms. Agriculture, 15 (6). art. no. 578. pp. 1-22. ISSN 2077-0472

Zhao, Ruixin and Tang, Sai Hong and Supeni, Eris Elianddy and Abdul Rahim, Sharafiz and Fan, Luxin (2024) Z-YOLOv8s-based approach for road object recognition in complex traffic scenarios. Alexandria Engineering Journal, 106. pp. 298-311. ISSN 1110-0168

Shen, Jiazheng and Hong, Tang Sai and Fan, Luxin and Zhao, Ruixin and Mohd Ariffin, Mohd Khairol Anuar and As’arry, Azizan (2024) Development of an improved GWO algorithm for solving optimal paths in complex vertical farms with multi-robot multi-tasking. Agriculture, 14 (8). art. no. 1372. pp. 1-26. ISSN 2077-0472

Fan, Luxin and Tang, SaiHong and Mohd Ariffin, Mohd Khairol Anuar b. and Ismail, Mohd Idris Shah b. and Zhao, Ruixin (2024) How to make a state of the art report — case study — image-based road crack detection: a scientometric literature review. Applied Sciences, 14 (11). art. no. 4817. pp. 1-39. ISSN 2076-3417

Zhao, Ruixin and Tang, SaiHong and Supeni, Eris Elianddy and Abdul Rahim, Sharafiz and Fan, Luxin (2024) A review of object detection in traffic scenes based on deep learning. Applied Mathematics and Nonlinear Sciences, 9 (1). pp. 1-25. ISSN 2444-8656