論文發表-寰宇計算研究室

論文發表

Y-P. Huang*, S.P. Khabusi, M.-C. Tsai, and F.E. Sandnes, “An adaptive learning-based model for water quality assessment in aquaculture,” IEEE Trans. on Systems, Man and Cybernetics: Systems, vol. 56, no. 1, pp.532-545, Jan. 2026. DOI: 10.1109/TSMC.2025.3627307. IF=8.7 in 2024 (rank: 2/63=3.17% in Automation & Control Systems; 11/224=4.91% in Control and Systems Engineering)
Y-P. Huang*, S. Kshetrimayum, H. Basanta and F.E. Sandnes, “A deep multi-object detection model for passenger escalator safety,” IEEE Trans. on Systems, Man and Cybernetics: Systems, vol. 55, no. 2, pp.9109-9119, Dec. 2025. DOI: 10.1109/TSMC.2025.3612901. IF=8.7 in 2024 (rank: 2/63=3.17% in Automation & Control Systems; 11/224=4.91% in Control and Systems Engineering)
Y-P. Huang*, R. Mushi, F.E. Sandnes, H.-F. Hu, and J.-H. Lee, “Deep convolutional neural networks to automatically classify human heart conditions,” IEEE Access, vol. 13, pp.120672-120683, Jul. 2025. doi: https://doi.org/10.1109/ACCESS.2025.3586214. IF=3.6 in 2024
Y-P. Huang*, S. Kshetrimayum and F.E. Sandnes, “ShrimpNet: a lightweight model for efficient detection and counting of shrimp larvae in dynamic aquaculture environments,” IEEE Trans. on Instrumentation and Measurement, vol. 74, pp.1-12, Apr. 2025. https://doi.org/10.1109/ TIM.2025.3563014. IF=5.9 in 2024 (rank: 18/136=13.23% in Instrumentation)
Y-P. Huang*, S. Kshetrimayum, and F.E. Sandnes, “UAV-based automatic detection, localization and cleaning of bird excrement on solar panels,” IEEE Trans. on Systems, Man and Cybernetics: Systems, vol. 55, no. 3, pp.1657-1670, Mar. 2025. DOI: 10.1109/TSMC.2024.3506533. IF=8.7 in 2024 (rank: 2/63=3.17% in Automation & Control Systems; 11/224=4.91% in Control and Systems Engineering)
Y-P. Huang* and S.P. Khabusi, “Artificial intelligence of things (AIoT) advances in aquaculture: a review,” Processes, vol. 13, no. 73, pp.1-47, Jan. 2025. DOI:10.3390/pr13010073. IF=2.8 in 2024.
S.P. Khabusi, Y.-P. Huang*, M.-F. Lee, and M.-C. Tsai, “Enhanced U-Net and PSO-optimized ANFIS for classifying fish diseases in underwater images,” Int. Journal of Fuzzy Systems, vol. 26, no. 8, pp.2518-2537, Nov. 2024. DOI:10.1007/s40815-024-01743-x. IF=3.6 in 2024
B.Haobijam, Y.-P. Huang*, Y.-S. Chang, T.-W. Chang, “Transforming sustainable aquaculture: synergizing fuzzy systems and deep learning innovations,” Int. Journal of Fuzzy Systems, vol. 26, no. 8, pp.2536-2552, Nov. 2024. DOI:10.1007/s40815-024-01744-w. IF=3.6 in 2024
P.Singh and Y.-P. Huang*, “AKDC: ambiguous kernel distance clustering algorithm for COVID–19 CT scans analysis,” IEEE Trans. on Systems, Man, and Cybernetics: Systems, vol. 54, no. 10, pp.6218-6229, Oct. 2024. DOI: 10.1109/TSMC.2024.3418411. IF=8.6 in 2023 (rank: 2/63=3.17% in Automation & Control Systems; 11/224=4.91% in Control and Systems Engineering)
Y-P. Huang*, S. Vadloori, E.Y.-C. Kang, Y.-T. Chen, and W.-C. Wu*, “Computer-aided detection of retinopathy of prematurity severity in preterm infants via measurement of vessel tortuosity from retinal fundus images,” Eye, pp.1-9, Aug. 2024. DOI: https://doi.org/10.1038/s41433-024-03285-w. IF=2.8 in 2023, CiteScore=6.4 (rank: 19/137=13.87% in Ophthalmology).
Y-P. Huang* and S. Vadloori, “Optimizing fish feeding with FFAUNet segmentation and adaptive fuzzy inference system,” Processes, vol. 12, pp.1-16, Jul. 2024. IF=2.8 in 2023 (rank: 52.90% in Chemical Engineering (miscellaneous))
P.Singh and Y.-P. Huang*, “An ambiguous edge detection method for computed tomography scans of coronavirus disease 2019 cases,” IEEE Trans. on Systems, Man and Cybernetics: Systems, vol. 54, no. 1, pp.352-364, Jan. 2024. DOI:10.1109/TSMC.2023.3307393. IF=8.6 in 2023 (rank: 2/63=3.17% in Automation & Control Systems; 11/224=4.91% in Control and Systems Engineering)
P.Singh and Y.-P. Huang*, “A four-valued ambiguous logic: application in designing ambiguous inference system for control systems,” Int. Journal of Fuzzy Systems, vol. 25, no. 8, pp.2921–2938, Sep. 2023. DOI:10.1007/s40815-023-01582-2. IF=4.085 in 2022 (rank: 29/136=21.32% in Computer Science, Artificial Intelligence)
Y-P. Huang*, S. Kshetrimayum, and C.-T. Chiang, “Object-based hybrid deep learning technique for recognition of sequential actions,” IEEE Access, vol. 11, pp.67385-67399, Jul. 2023. DOI: 10.1109/ACCESS.2023.3291395. IF=3.476 in 2022, (rank: 28/300=9.33% in General Engineering; 34/231=14.71% in General Computer Science).
Y-P. Huang* and R. Mushi, “Deep convolutional neural networks for the detection and classification of human vocal exclamations of panic in subway systems,” IEEE Access, vol. 11, pp.59417-59427, Jun. 2023. DOI: 10.1109/ACCESS.2023.3285429. IF=3.476 in 2022, (rank: 28/300=9.33% in General Engineering; 34/231=14.71% in General Computer Science).
Y-P. Huang* and S. Khabusi, “A CNN-OSELM multi-layer fusion network with attention mechanism for fish disease recognition in aquaculture,” IEEE Access, vol. 11, pp. 58729-58744, Jun. 2023. DOI: 10.1109/ACCESS.2023.3280540. IF=3.476 in 2022, (rank: 28/300=9.33% in General Engineering; 34/231=14.71% in General Computer Science).
P.Singh and Y.-P. Huang*, “A four-valued ambiguous logic: application in designing ambiguous inference system for control systems,” Int. Journal of Fuzzy Systems, pp.1-18, Sep. 2023. IF=4.085 in 2022 (rank: 29/136=21.32% in Computer Science, Artificial Intelligence)
Y-P. Huang*, S. Kshetrimayum, and C.-T. Chiang, “Object-based hybrid deep learning technique for recognition of sequential actions,” IEEE Access, vol. 11, pp.67385-67399, Jul. 2023. IF=3.476 in 2022, (rank: 34/231=14.71% in General Computer Science)
Y-P. Huang* and R. Mushi, “Deep convolutional neural networks for the detection and classification of human vocal exclamations of panic in subway systems,” IEEE Access, vol. 11, pp.59417-59427, Jun. 2023. IF=3.476 in 2022, (rank: 34/231=14.71% in General Computer Science)
Y-P. Huang* and S. Khabusi, “A CNN-OSELM multi-layer fusion network with attention mechanism for fish disease recognition in aquaculture,” IEEE Access, vol. 11, pp. 58729-58744, Jun. 2023. IF=3.476 in 2022, (rank: 28/300=9.33% in General Engineering; 34/231=14.71% in General Computer Science)
Y-P. Huang*, T.-H. Wang and B. Haobijam, “Deep learning and image processing techniques for recognizing liquid-crystal display array residue and the automatic planning of laser-cutting segments,” IEEE Trans. on Instrumentation and Measurement, vol. 71, pp.1-10, Jul. 2022. IF=5.332 in 2021 (rank: 18/136=13.23% in Instrumentation)
P.Singh and Y.-P. Huang*, “Membership functions, set-theoretic operations, distance measurement methods based on ambiguous set theory: A solution to a decision-making problem in selecting the appropriate colleges,” Int. Journal of Fuzzy Systems, vol. 25, no. 4, pp.1311-1326, May 2023. DOI: 10.1007/s40815-023-01468-3. IF=4.085 in 2022 (rank: 29/136=21.32% in Computer Science, Artificial Intelligence)
Y-P. Huang* and K. Bhalla, “Automatic generation of laser cutting paths in defective TFT-LCD panel images by using neutrosophic Canny segmentation,” IEEE Trans. on Instrumentation and Measurement, vol. 71, pp.1-16, Jun. 2022. IF=5.332 in 2021 (rank: 18/136=13.23% in Instrumentation)
Y-P. Huang, S. Vadloori, E.Y.-C. Kang, and W.-C. Wu*, “Computer-aided detection of retinopathy of prematurity severity in preterm infants via measurement of vessel width and temporal artery angles,” Frontiers in Pediatrics, Jan. 4, 2022. IF=3.569 in 2021 (rank: 103/298=34.56% in Pediatrics, Perinatology and Child Health)
Y-P. Huang*, W.-L. Kuo, H. Basanta, and S.-H. Lee*, “Evaluating power rehabilitation actions by using a fuzzy inference method,” Int. Journal of Fuzzy Systems, vol. 23, no. 7, pp.1919-1933, Oct. 2021. IF=4.673 in 2021 (rank: 29/136=21.32% in Computer Science, Artificial Intelligence)
Y-P. Huang*, K. Bhalla, H.-C. Chu, Y.-C. Lin, H.-C. Kuo, W.-J. Chu and J.-H. Lee*, “Wavelet K-means clustering and fuzzy-based method for segmenting MRI images depicting Parkinson’s disease,” Int. Journal of Fuzzy Systems, vol. 23, no. 6, pp.1600-1612, Oct. 2021. IF=4.673 in 2021 (rank: 29/136=21.32% in Computer Science, Artificial Intelligence)
Y-P. Huang*, C.-M. Su, H. Basanta and Y.-L. Tsai, “Imbalance modeling for defect detection in ceramic substrate by using convolutional neural network,” Processes, vol. 9, no. 1678, pp.1-17, Sep. 2021. IF=2.847 in 2021, (rank: 74/143=51.74% in Engineering)
Y-P. Huang, H. Basanta, E.Y.-C. Kang, K.-J. Chen, Y.-S. Hwang, C.-C. Lai, J.P. Cambell, M.F. Chiang, R.V.P. Chen, S. Kusaka, Y. Fukushima and W.-C. Wu*, “Automated detection of ROP early stages using deep convolution neural network,” British Journal of Ophthalmology, vol. 105, issue 8, pp.1099-1103, Jul. 2021. IF=4.638 in 2021 (rank: 9/60=15% in Ophthalmology)
Y-P. Huang* and H. Basanta, “Recognition of endemic bird species using deep learning models,” IEEE Access, vol. 9, pp.102975-102984, Jul. 2021. IF=3.476 in 2021 (rank: 35/156=22.44% in Computer Science, Information Systems)
Y-P. Huang*, P. Singh, W.-L. Kuo and H.-C. Chu, “A type-2 fuzzy clustering and quantum optimization approach for crops image segmentation,” Int. Journal of Fuzzy Systems, vol. 23, no. 3, pp.615-629, May 2021. IF=4.673 in 2021 (rank: 29/136=21.32% in Computer Science, Artificial Intelligence)