一、學術期刊論文

1. 陳士煜*, 2024, Almond defect and freshness inspection system using hyperspectral imaging and deep learning techniques, Postharvest Biology and Technology, Vol.211, pp.112837. (SCI)
2. 陳士煜*, 2023, Machine Learning for Data Fusion: A Fuzzy AHP Approach for Open Issues, Computers, Materials & Continua, vol. 77,, No.3,, pp.2899–2914. (SCI)
3. 陳士煜*, 2023, Early Diagnosis of Lung Tumors for Extending Patients’ Life Using Deep Neural Networks, Computers, Materials & Continua, Vol.76, No.1, pp.993–1007. (SCI)
4. 陳士煜*, 2023, Fuzzy Rule-Based Model to Train Videos in Video Surveillance System, Intelligent Automation & Soft Computing, Vol.37, No.1, pp.905–920. (SCI)
5. Shih-Yu Chen*, Shih-Hsun Hsu, Chih-Yi Ko, Kai-Hsun Hsu, 2023, Real-time defect and freshness inspection on chicken eggs using hyperspectral imaging, Food Control, Vol.150, pp.109716. (SCI)
6. 陳士煜, 2022, Deep learning-based vehicle trajectory prediction based on generative adversarial network for autonomous driving applications, Multimedia Tools and Applications. (SCI)
7. 陳士煜, 2022, Real-Time Defect Inspection of Green Coffee Beans Using NIR Snapshot Hyperspectral Imaging, Computers and Electronics in Agriculture. (SCI)
8. 陳士煜, 2021, Surface Defect Detection of Wet-Blue Leather using Hyperspectral Imaging, IEEE Access, Vol.9, pp.127685 - 127702. (SCI)
9. 陳士煜, 2021, Hybrid Deep Learning Models with Sparse Enhancement Technique for Detection of Newly Grown Tree Leaves, Sensors, Vol.21, No.6, pp.2077. (SCI)
10. 陳士煜, 2020, Detection of Insect Damage in Green Coffee Beans Using VIS-NIR Hyperspectral Imaging, remote sensing, Vol.12, No.15, pp.2348. (SCI)
11. 陳士煜, 2020, Impact of trauma centre capacity and volume on the mortality risk of incoming new admissions, BMJ Military Health. (SCI)
12. 陳士煜, 2019, Weighted Background Suppression Target Detection Using Sparse Image Enhancement Technique for Newly Grown Tree Leaves, Remote Sens., Vol.11, No.9, pp.1081. (SCI)
13. 陳士煜, 2018, Detecting Newly Grown Tree Leaves from Unmanned-Aerial-Vehicle Images using Hyperspectral Target Detection Techniques, ISPRS Journal of Photogrammetry and Remote Sensing, Vol.142, pp.174-189. (SCI)
14. 陳士煜, 2018, Progressive Sample Processing of Band Selection for Hyperspectral Image Transmission, Remote Sensing, Vol.10, No.3. (SCI)
15. 陳士煜, 2018, Adaptive Window-Based Constrained Energy Minimization for Detection of Newly Grown Tree Leaves, Remote Sensing, Vol.10, No.96, pp.1-25. (SCI)
16. 陳士煜, 2016, Comparative Study and Analysis Among ATGP, VCA, and SGA for Finding Endmembers in Hyperspectral Imagery, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol.9, No.9, pp.4280 - 4306. (SCI)
17. 陳士煜, 2016, Convex cone volume analysis for finding endmembers in hyperspectral imagery, Int. J. Computational Science and Engineering, Vol.12, No.2/3, pp.186-191. (EI)
18. 陳士煜, 2015, Magnetic resonance brain tissue classification and volume calculation., Journal of the Chinese Institute of Engineers., Vol.38, No.8, pp.1055-1066. (SCI)
19. 陳士煜, 2015, Finding Virtual Signatures for Linear Spectral Mixture Analysis., IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing., Vol.8, No.6, pp.2704 - 2719. (SCI)
20. 陳士煜, 2015, Recursive Automatic Target Generation Process in Subpixel Detection., IEEE Geoscience and Remote Sensing Letters., Vol.12, No.9, pp.1848 - 1852. (SCI)
21. 陳士煜, 2015, Anomaly Detection Using Causal Sliding Windows., IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing., Vol.8, No.7, pp.3260 - 3270. (SCI)
22. 陳士煜, 2014, Progressive Band Processing of Constrained Energy Minimization for Subpixel Detection., IEEE Transactions on Geoscience and Remote sensing., Vol.53, No.3, pp.1626-1637.
23. 陳士煜, 2014, Automated prediction of early blood transfusion and mortality in trauma patients., Journal of Trauma and Acute Care Surgery., Vol.76, No.6, pp.1379-1385.
24. 陳士煜, 2014, Real Time Causal Processing of Anomaly Detection for Hyperspectral Imagery., IEEE Transactions on Aerospace and Electronic Systems, Vol.52, No.2, pp.1511-1534.

1. 陳士煜, 2018, A New Application of Hyperspectral Techniques in Drug Classification, Fourteenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2018/11/26-28, IIH-MSP, 仙台.
2. 陳士煜, 2018, Sparse matrix-based image enhancement for target detection using deep learning, Optics, Photonics and Digital Technologies for Imaging Applications, 2018/04/20-25, SPIE, 史特拉斯堡.
3. 陳士煜, 2017, Multi-Class Constrained Background Suppression Approach to Hyperspectral Image Classification, IGARSS 2017, 2017/08/23-28, IEEE, 德州.
4. 陳士煜, 2017, Kernel Automatic Target Generation Process, IEEE International Geoscience and Remote Sensing Symposium, 2017/08/23-28, IEEE, 德州.
5. 陳士煜, 2017, Progressive sample processing of band selection for hyperspectral imagery, SPIE Remote Sensing 2017, 2017/08/05-10, SPIE, 聖地牙哥.
6. 陳士煜, 2017, Iterative target detection algorithms for hyperspectral imagery, IEEE International Conference on Applied System Innovation, 2017/05/13-17, IEEE, 札幌市.
7. 陳士煜, 2016, Indoor PostEarthquake Corridor Obstacle Assessment System, International Computer Symposium, 2016/12/15-17, 中正大學, 嘉義市中正大學.
8. 陳士煜, 2016, Early landslide detection and warning system using remote sensing imagery, International Association of Geo-informatics, 2016/10/15-17, GIS Association of Japan, 東京立正大學.
9. 陳士煜, 2016, Extracting tree rings from disc bitmap image, International Association of Geo-informatics, 2016/10/15-17, GIS Association of Japan, 東京立正大學.
10. 陳士煜, 2016, SEQUENTIAL BAND SELECTION METHOD BASED ON GROUP ORTHOGONAL MATCHING PURSUIT, IEEE WHISPERS, 2016/08/21-24, IEEE, 洛杉磯.
11. 陳士煜, 2016, An information theoretical approach to multiple-band selection for hyperspectral imagery, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016/07/09-15, IEEE, Beijing, pp.2773 - 2776.
12. 陳士煜, 2015, Pesticide residue detection using hyperspectral techniques on sweet peppers, 2015 KAGIS Fall Conference & International Symposium on GIS, 2015/11/04-07, Korean Association of Geographic Information Studies, 釜山.
13. 陳士煜, 2015, A Modified Watershed Algorithm for LiDAR Image Segmentation, 2015 KAGIS Fall Conference & International Symposium on GIS, 2015/11/04-07, Korean Association of Geographic Information Studies, 釜山.
14. 陳士煜, 2015, A NEW APPLICATION OF HYPERSPECTRAL TARGETS DETECTION TECHNIQUES TO MULTISPECTRAL IMAGE, CVGIP 2015 第二十八屆電腦視覺、圖學暨影像處理研討會, 2015/08/17-19, 中華大學, 宜蘭.
15. 陳士煜, 2015, A SIGNAL-NOISE ANALYSIS OF ICESAT GLAS WAVEFORM FOR DERIVING FEATURES OF FOREST CANOPY HEIGHT IN MOUNTAINOUS AREA, International Conference on Earth Observations and Societal Impacts, 2015/06/28-30, National Kaohsiung Marine University (NKMU), Kaohsiung.
16. 陳士煜, 2015, Pesticide Residue Detection by Hyperspectral Imaging Sensors., Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2015/06/02-05, 東京大學, 日本,東京.
17. 陳士煜, 2015, Progressive Endmember Finding by Fully Constrained Least Squares Method., Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015/06/02-05, 東京大學, 日本,東京.
18. 陳士煜, 2015, Fully Abundance-Constrained Finding Endmembers in Hyperspectral Images., Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS),, 2015/06/02-05, 東京大學, 日本,東京.
19. 陳士煜, 2015, Pesticide residue quantification analysis by hyperspectral imaging sensors ., SPIE DSS, Satellite Data Compression, Communications, and Processing XI, 2015/04/20-25, SPIE, 美國,Baltimore.
20. 陳士煜, 2014, Weighted Radial Basis Function Kernel-Based Support Vector Machines for Multispectral Magnetic Resonance Brain Image Classification, International Computer Symposium 2014, 2014/12/12-14, Tunghai University, Taichung, Taiwan.
21. 陳士煜, 2014, RecursiveUnsupervised Fully Constrained Least Squares Methods., IEEE International Geoscience and Remote Sensing Symposium, 2014/07/13-18, IEEE International Geoscience and Remote Sensing Symposium, Quebec City, Canada..
22. 陳士煜, 2014, Endmember-Specified Virtual Dimensionality in Hyperspectral Imagery., IEEE International Geoscience and Remote Sensing Symposium, 2014/07/13-18, IEEE International Geoscience and Remote Sensing Symposium, Quebec City, Canada..
23. 陳士煜, 2014, Fisher's ratio-based criterion for finding endmembers in hyperspectral imagery, Satellite Data Compression, Communication and Processing X (ST146), SPIE International Symposium on SPIE Sensing Technology + Applications, 2014/05/05-09, SPIE, Baltimore.
24. 陳士煜, 2014, Background suppression issues in anomaly detection for hyperspectral imagery, Satellite Data Compression, Communication and Processing X (ST146), SPIE International Symposium on SPIE Sensing Technology + Applications, 2014/05/05-09, SPIE, Baltimore.
25. 陳士煜, 2014, “Endmember variability resolved by pixel purity index in hyperspectral imagery”, Satellite Data Compression, Communication and Processing X (ST146), SPIE International Symposium on SPIE Sensing Technology + Applications, 2014/05/05-09, Satellite Data Compression, Communication and Processing X (ST146), SPIE Intern, Baltimore.
26. 陳士煜, 2014, Anomaly discrimination in hyperspectral imagery, Satellite Data Compression, Communication and Processing X (ST146), SPIE International Symposium on SPIE Sensing Technology + Applications, 2014/05/05-09, Satellite Data Compression, Communication and Processing X (ST146), SPIE Intern, Baltimore.