師資陣容

  • 林昱達 Yu-Da Lin
  • 職稱:助理教授
  • 聯絡電話:(06)9264115#3507
  • 電子郵件:yudalinemail@gms.npu.edu.tw
  • 連結網址:個人網站
  • 學歷:

    博士,國立高雄應用科技大學,電子工程系博士班-資訊組, 100/7~104/7

     

    碩士,國立高雄應用科技大學,電子工程系研究所-資訊組, 98/7~100/7

     

    大學,國立高雄應用科技大學,電子工程所大學部, 96/7~98/7

     

  • 經歷:
    • 國立澎湖科技大學,海洋資源暨工程學院,院長特助,110/02~110/07
    • 中國工程師學會,教育委員會,秘書,110/02~112/02
    • 國立高雄科技大學,電子工程系,兼任助理教授,106/8~110/01
    • 國立高雄科技大學,電子工程系,博士後研究員,105/7~110/01
    • 弘人工業股份有限公司,研發工程師,104/5~104/7
    • 酷奇思數位園有限公司,軟體設計部門,程式設計工程師,100/9~104/2

     

    服務

    • 2023/11,高雄醫學大學,演講,多疾病之基因與基因交互作用分析之研究 
    • 2023/01,中山醫學大學,演講,數據研究與實踐:以人工智慧應用於醫療數據為例
    • 2022/07,行政院人事行政總處公務人力發展學院,演講,數位轉型專題-人工智慧的公共性
    • 2022/05,國立澎湖科技大學,演講,數據研究與實踐
    • 2021/11,國立澎湖科技大學,演講,淺談人工智慧運用於醫療數據
    • 2021/03,東海大學資訊管理研究所,演講,建構以智慧商務提升職涯價值之藍圖-職涯創新輔導領航計畫
    • 2020/10,東海大學資訊管理研究所,演講,教育部青年發展署大專校院職涯輔導輔助計畫題目:AI忙什麼?
    • 2020/04,109學年度科技校院四年制與專科學校二年制統一入學測驗,主試人員
    • 2019/11,高雄醫學大學基礎科學教育中心,科普演講,人工智慧於全基因組關聯分析
    • 2018/12,東海大學資訊管理研究所,演講,智慧校園-運用人工智慧於校園資訊系統
    • 2018/05,東海大學資訊管理研究所,演講,智慧校園-大數據分析實際案例
    • 2017/11,國立高雄應用科技大學觀光系,演講,大數據在旅遊觀光的應用
    • 2015/04,義守大學化學工程學系暨生物技術與化學工程研究所,演講, 資料探勘技術-疾病關聯性分析與應用實例
    • 2014/11,義守大學化學工程學系暨生物技術與化學工程研究所,演講, 資料探勘技術與大數據分析介紹
  • 專長及研究領域:
    • 專長
      • 程式設計
      • 演算法設計與應用
      • 資料探勘
      • 常模建構
    • 研究領域
      • 醫療資訊
      • 生物資訊
      • 最佳化
      • 演算法設計與應用
      • 趨勢預測

     

林昱達 Yu-Da Lin

  1. Y-H Cheng, C-N Kuo, Yu-Da Lin* (2024, Jan). An Artificial IoT-Enabled Smart Production Line for 360‐Degree Visual Defect Detection and Classification of Cherry Tomatoes. IEEE Internet of Things Journal, Vol. 11, 18082-18098. 

  2. C-H Yang, S-H Moi, L-Y Chuang, Yu-Da Lin* (2023, Dec). An Information Fusion System-Driven Deep Neural Networks With Application to Cancer Mortality Risk Estimate. IEEE Transactions on Neural Networks and Learning Systems, Early Access, 1-12.

  3. C-N Kuo, Yu-Da Lin, D-M Nguyen, Y-H Cheng (2023, Jul). Based on Decision Tree Model to Analyze the Influencing Factors of Customer’s Insurance Transactions. Journal of Information Science & Engineering, Vol. 39, 797-807.

  4. C-H Yang, T Molefyane, Yu-Da Lin* (2023, Jul). The Forecasting of a Leading Country’s Government Expenditure Using a Recurrent Neural Network with a Gated Recurrent Unit. Mathematics, Vol. 11, Art. no. 3085.
  5. C-H Yang, B Lee, P-H Jou, Y-F Chung, Yu-Da Lin* (2023, Sep). Analysis and Forecasting of International Airport Traffic Volume. Mathematics, Vol. 11, Art. no. 1483.
  6. C-H Tsai, Yu-Da Lin, C-H Yang, C-K Wang, L-C Chiang, P-J Chiang (2023, Mar). A Biogeography-Based Optimization with a Greedy Randomized Adaptive Search Procedure and the 2-Opt Algorithm for the Traveling Salesman Problem. Sustainability, Vol. 15, 5111.
  7. C-H Yang, H-C Huang, M-F Hou, L-Y Chuang, Yu-Da Lin* (2023, Jan). Fuzzy-based multiobjective multifactor dimensionality reduction for epistasis analysis. IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 20, 378-387.
  8. C-H Yang, M-F Hou, L-Y Chuang, C-S Yang, Yu-Da Lin* (2023, Jan). Dimensionality reduction approach for many-objective epistasis analysis. Briefings in Bioinformatics, Vol. 24, bbac512.
  9. Y-H Cheng, C-Y Tseng, D-M Nguyen, Yu-Da Lin* (2022, Sep). YOLOv4-Driven Appearance Grading Filing Mechanism: Toward a High-Accuracy Tomato Grading Model through a Deep-Learning Framework. Mathematics, Vol. 10, Art. no. 3398.
  10. C-H Yang, J-C Shao, Y-H Liu, P-H Jou, Yu-Da Lin* (2022, Jul). Application of Fuzzy-Based Support Vector Regression to Forecast of International Airport Freight Volumes. Mathematics, Vol. 10, Art. no. 2399.
  11. C-H Yang, Y-H Cheng, EC Yang, L-Y Chuang, Yu-Da Lin* (2022, Apr). Multiobjective optimization-driven primer design mechanism: towards user-specified parameters of PCR primer. Briefings in Bioinformatics, Voi. 23, Art. no. bbac121.
  12. C-H Yang, H  Lee, Yu-Da Lin* (2022, Apr). Effect of Money Supply, Population, and Rent on Real Estate: A Clustering Analysis in Taiwan. Mathematics, Vol. 10, Art. no. 1155.
  13. Yu-Da Lin, Y-C Lee, C-P Chiang, S-H Moi, J-Y Kan (2022, Jan). MOAI: a multi-outcome interaction identification approach reveals an interaction between vaspin and carcinoembryonic antigen on colorectal cancer prognosis. Briefings in Bioinformatics, Vol. 23, Art. no. bbab427.
  14. Y-T Huang, D-L Chiang, T-S Chen, S-D Wang, F-P Lai, Yu-Da Lin* (2022,Jan). Lagrange interpolation-driven access control mechanism: Towards secure and privacy-preserving fusion of personal health records. Knowledge-Based Systems, Vol. 236, Art. no. 107679.
  15. C-H Yang, S-H Moi, M-F Hou, L-Y Chuang, Yu-Da Lin* (2021, Dec). Applications of Deep Learning and Fuzzy Systems to Detect Cancer Mortality in Next-Generation Genomic Data. IEEE Transactions on Fuzzy Systems, Vol. 29, 3833-3844.
  16. C-W Hsu, Y-L Chang, T-S Chen, T-Y Chang, Yu-Da Lin* (2021, Mar). Who Donates on Line? Segmentation Analysis And Marketing Strategies Based on Machine Learning for Online Charitable Donations in Taiwan. IEEE Access, Vol. 9, 52728 - 52740.
  17. Y-C Su, C-Y Wu, C-H Yang, B-S Li, S-H Moi, Yu-Da Lin* (2021, Feb). Machine Learning Data Imputation and Prediction of Foraging Group Size in a Kleptoparasitic Spider. Mathematics, Vol. 9, Art. no. 415.
  18. J-Y Kan, Y-C Lee, Yu-Da Lin, W-Y Ho, S-H Moi (2020, Oct). Effect of Baseline Characteristics and Tumor Burden on Vaspin Expression and Progressive Disease in Operable Colorectal Cancer. Diagnostics, Vol. 10, Art. no. 801.
  19. C-H Yang, L-Y Chuang, Yu-Da Lin* (2020, April). Epistasis analysis using an improved fuzzy c-means-based entropy approach. IEEE Transactions on Fuzzy Systems, Vol. 28, 718-730, doi:10.1109/TFUZZ.2019.2914629.
  20. C-H Yang, L-Y Chuang, Yu-Da Lin* (2020, Feb). Fuzzy logic system application for detecting SNP-SNP interaction. IEEE Access, Vol. 8, 49951-49960.
  21. C-H Yang, Yu-Da Lin*, L-Y Chuang (2020, Feb). Class balanced multifactor dimensionality reduction to detect gene—gene interactions. IEEE-ACM Transactions on Computational Biology and Bioinformatics, Vol.17, 71-81, doi:10.1109/TCBB.2018.2858776.
  22. C-H Yang, L-Y Chuang, Yu-Da Lin* (2020, Jan). An improved fuzzy set-based multifac1tor dimensionality reduction for detecting epistasis. Artificial Intelligence in Medicine, Vol. 102, 101768, doi.org/10.1016/j.artmed.2019.101768.
  23. C-H Yang, L-Y Chuang, Yu-Da Lin* (2019, Sep). Detecting SNP-SNP interactions in imbalanced case-control study. IEEE Access, Vol. 7, 143036-143045, doi:10.1109/ACCESS.2019.2943614.
  24. C-H Yang, L-Y Chuang, Yu-Da Lin* (2019, Aug). Effective hybrid approach for protein structure prediction in a two-dimensional Hydrophobic–Polar model. Computers in Biology and Medicine, Vol.113, Art. no. 103397, doi.org/10.1016/j.compbiomed.2019.103397.
  25. C-H Yang, S-H Moi, F Ou-Yang, L-Y Chuang, M-F Hou,  Yu-Da Lin* (2019, May). Identifying Risk Stratification Associated with a Cancer for Overall Survival by Deep Learning-Based CoxPH. IEEE Access, Vol.7, 67708-67717, doi:10.1109/ACCESS.2019.2916586.
  26. C-H Yang, Yu-Da Lin*, L-Y Chuang (2019, Jan). Multiple-criteria decision analysis-based multifactor dimensionality reduction for detecting gene-gene interactions. IEEE Journal of Biomedical and Health Informatics, Vol.23, 416-426, doi:10.1109/JBHI.2018.2790951.
  27. C-H Yang, Y-K Kao, L-Y Chuang, Yu-Da Lin* (2018, Jun). Catfish Taguchi-based binary differential evolution algorithm for analyzing single nucleotide polymorphism interactions in Chronic dialysis. IEEE Transactions on NanoBioscience, Vol. 17(3), 291-299, doi.10.1109/TNB.2018.2844342.
  28. C-H Yang, L-Y Chuang, Yu-Da Lin* (2018, Feb). Multiobjective multifactor dimensionality reduction to detect SNP-SNP interactions. Bioinformatics, Vol. 34, 2228-2236, doi.org/10.1093/bioinformatics/bty076.
  29. C-H Yang, L-Y Chuang, Yu-Da Lin* (2017, Dec). Multiobjective differential evolution-based multifactor dimensionality reduction for detecting gene–gene interactions. Scientific Reports, Vol. 7, Art. no. 12869.
  30. J-B Chen, W-C Lee, B-C Cheng, S-H Moi, C-H Yang and Yu-Da Lin* (2017, Dec). Impact of risk factors on functional status in maintenance hemodialysis patients. European Journal of Medical Research, Vol. 22, Art. no. 54. 
  31. C-H Yang, Yu-Da Lin, L-Y Chuang, J-B Chen, H-W Chang (2017, Dec). Joint Analysis of SNP-SNP-Environment Interactions for Chronic Dialysis by an Improved Branch and Bound Algorithm. Journal of computational biology, Vol. 24(12), 1212-1225, doi: 10.1089/cmb.2017.0090.
  32. C-H Yang, Y-C Chiang, L-Y Chuang, Yu-Da Lin* (2017, Oct). A CpGCluster-Teaching-Learning-Based optimization for prediction of CpG islands in the human genome. Journal of computational biology, Vol. 24, 1-12.
  33. C-H Yang, L-Y Chuang, Yu-Da Lin* (2017, May). CMDR based differential evolution identify the epistatic interaction in genome-wide association studies. Bioinformatics, Vol. 33(15), 2354–2362, doi:10.1093/bioinformatics/btx163.
  34. L-Y Chuang, S-H Moi, Yu-Da Lin*, C-H Yang (2016, Oct). A comparative analysis of chaotic particle swarm optimizations fordetecting single nucleotide polymorphism barcodes. Artificial Intelligence in Medicine, Vol. 73(2016), 23–33, doi.org/10.1016/j.artmed.2016.09.002.
  35. C-H Yang, Yu-Da Lin, L-Y Chuang, H-W Chang (2016, Aug). Analysis of high-order SNP barcodes in mitochondrial D-loop for chronic dialysis susceptibility. Journal of Biomedical Informatics, 63(2016),112-119, doi.org/10.1016/j.jbi.2016.08.009.
  36. Fu Ou-Yang, H-W Chang, Yu-Da Lin, L-Y Chuang, M-F Hou, and C-H Yang (2016, Jul). Breast cancer-associated high-order SNPSNP interaction of CXCL12/CXCR4-related genes by an improved multifactor dimensionality reduction (MDR-ER). Oncology reports, Vol. 36, 1739-1747, doi.org/10.3892/or.2016.4956.
  37. C-H Yang, S-H Moi, Yu-Da Lin, L-Y Chuang (2016, Jun). Genetic algorithm combined with a local search method for identifying susceptibility genes. Journal of Artificial Intelligence and Soft Computing Research, 6(3), 203–212, doi.org/10.1515/jaiscr-2016-0015.
  38. C-H Yang, Yu-Da Lin, L-Y Chuang (2016, Jun). tRNAfeature: An algorithm for tRNA features to identify tRNA genes in DNA sequences. Journal of Theoretical Biology, 404(2016),251-261, doi.org/10.1016/j.jtbi.2016.06.008.
  39. C-H Yang, Yu-Da Lin, Y-C Chiang, L-Y Chuang (2016, Jan). A hybrid approach for CpG island detection in the human genome. PLoS One, 11(1), Art. no. e0144748, doi.org/10.1371/journal.pone.0144748.
  40. C-H Yang, Yu-Da Lin, C-S Yang, L-Y Chuang (2015, Jun). An efficiency analysis of high-order combinations of gene–gene interactions using multifactor dimensionality reduction. BMC Genomics, Vol. 16, Art. no. 489, doi.org/10.1186/s12864-015-1717-8.
  41. C-H Yang, Yu-Da Lin, S-J Wu, L-Y Chuang, H-W Chang (2015, Mar). High order gene-gene interactions in eight single nucleotide polymorphisms of renin-angiotensin system genes for hypertension association study. BioMed Research International, Vol. 2015, Article ID 454091, doi.org/10.1155/2015/454091.
  42. C-H Yang, Yu-Da Lin, C-Y Yen, L-Y Chuang, H-W Chang (2015, Jan). A systematic gene-gene and gene-environment interaction analyses of DNA repair genes XRCC1, XRCC2, XRCC3, XRCC4 and oral cancer risk. OMICS: A Journal of Integrative Biology, 19(4), 238-247, doi.org/10.1089/omi.2014.0121.
  43. F Ou-Yang, Yu-Da Lin, L-Y Chuang, H-W Chang, C-H Yang, M-F Hou (2015, Jan). The combinational polymorphisms of ORAI1 gene are associated with preventive models of breast cancer in the Taiwanese. BioMed Research International, Vol. 2015, Art. no. 281263, doi.org/10.1155/2015/281263.
  44. M-L Hwang, Yu-Da Lin, L-Y Chuang, C-H Yang (2014, Oct). Determination of the SNP-SNP interaction between breast cancer related genes to analyze the disease susceptibility. International Journal of Machine Learning and Computing, Vol. 4(5), 468-473.
  45. J-B Chen, L-Y Chuang, Yu-Da Lin, C-W Liou, T-K Lin, W-C Lee, B-C Cheng, H-W Chang, C-H Yang (2014, Jun). Genetic algorithm-generated SNP barcodes of the mitochondrial D-loop for chronic dialysis susceptibility. Mitochondrial DNA, 25(3), 231-237, doi.org/10.3109/19401736.2013.796513.
  46. L-Y Chuang , H-Y Lane, Yu-Da Lin, M-T Yang, C-H Yang, H-W Chang (2014, May). Identification of SNP barcode biomarkers for genes associated with facial emotion perception using particle swarm optimization algorithm. Annals of General Psychiatry, Vol. 13(15), 10, doi.org/10.1186/1744-859X-13-15.
  47. C-H Yang, Yu-Da Lin, L-Y Chuang, H-W Chang (2014, May). Double-bottom chaotic map particle swarm optimization based on chi-square test to determine gene-gene interactions. BioMed Research International, Vol. 2014, Art. no. 172049, doi.org/10.1155/2014/172049.
  48. W-H Chang, Y-Y Fang, H-W Chang, L-Y Chuang, Yu-Da Lin, M-F Hou, C-H Yang (2014, Mar). Identifying association model for single-nucleotide polymorphisms of ORAI1 gene for breast cancer. Cancer Cell International, Vol. 14(29), 14-29, doi.org/10.1186/1475-2867-14-29.
  49. J-B Chen, L-Y Chuang, Yu-Da Lin, C-W Liou, T-K Lin, W-C Lee, B-C Cheng, H-W Chang, C-H Yang (2013, Nov). Preventive SNP-SNP interactions in the mitochondrial displacement loop (D-loop) from chronic dialysis patients. Mitochondrion, Vol. 13(6), 698-704, doi.org/10.1016/j.mito.2013.01.013.
  50. C-H Yang, Yu-Da Lin, L-Y Chuang, J-B Chen, and H-W Chang (2013, Oct). MDR-ER: Balancing functions for adjusting the ratio in risk classes and classification errors for imbalanced cases and controls using multifactor-dimensionality reduction. PLoS ONE, Vol. 8(11), Art. no. e79387, doi.org/10.1371/journal.pone.0079387.
  51. J-Yg Tang, L-Y Chuang, E Hsi, Yu-Da Lin, C-H Yang, H-W Chang (2013, Jun). Identifying the association rules between clinicopathologic factors and higher survival performance in operation centric oral cancer patients using the Apriori algorithm. BioMed Research International, 2013, Art. no. 359634, doi.org/10.1155/2013/359634.
  52. S-J Wu, L-Y Chuang, Yu-Da Lin, W-H Ho, F-T Chiang, C-H Yang, H-W Chang (2013, May). Particle swarm optimization algorithm for analyzing SNP-SNP interaction of renin-angiotensin system genes against hypertension. Molecular Biology Reports, Vol. 40(7), 4227-4233, doi.org/10.1007/s11033-013-2504-8. 
  53. C-H Yang, Yu-Da Lin, L-Y Chaung, H-W Chang (2013, Mar). Evaluation of breast cancer susceptibility using improved genetic algorithms in generating genotype SNP barcodes. IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 10(2), 361-371, doi.org/10.1109/TCBB.2013.27. 
  54. C-H Yang, L-Y Chuang, Y-H Cheng, Yu-Da Lin, C-L Wang, C-H Wen, H-W Chang (2012, Jul). Single nucleotide polymorphism barcoding to evaluate oral cancer risk using odds ratio-based genetic algorithms. The Kaohsiung journal of medical sciences, Vol. 28, 362-368.
  55. L-Y Chuang, Yu-Da Lin, C-H Yang (2012, May). Data clustering using chaotic particle swarm optimization. IAENG International Journal of Computer Science, Vol. 39(2), Art. no. 08.
  56. L-Y Chuang, Yu-Da Lin, H-W Chang, C-H Yang (2012, Jan). An improved PSO algorithm for generating protective SNP barcodes in breast cancer. PLoS ONE, Vol. 7(5), Art. no. e37018, doi.org/10.1371/journal.pone.0037018.
  57. L-Y Chuang, Yu-Da Lin, H-W Chang, C-H Yang (2010, Aug). PtRNASS: Prediction of tRNA secondary structure from nucleotide sequences. IAENG International Journal of Computer Science, Vol. 37, Art. no. 3.

 

Chapter

  1. L-Y Chuang, Yu-Da Lin, C-H Yang. Improved classification method for detecting potential interactions between genes. Intelligent Computing. Springer. Jan, 2019: 1, 394-403.
  2. L-Y Chuang, Yu-Da Lin, C-H Yang. An improved multi-factor dimensionality reduction approach to identify gene-gene interactions. Advances in Intelligent, Interactive Systems and Applications. Springer. Jan, 2019: 109-114.

 

Conference papers

  1. Yu-Da Lin, J-H Lin, C-W Hsu, S-H Moi, A machine learning based on arithmetic optimization algorithm select the significant genes, The 48th IEEE International Conference on Computers, Software, and Applications (COMPSAC 2024), Osaka, Japan, July 2-4, 2024.
  2. S-H Moi, Yu-Da Lin, Y-L Chen, C-M H, S-J Tsai, W-H Cheng, Driver Gene Expression Clustering Model for Prognostic Risk Estimation using Cancer Genomic, The 48th IEEE International Conference on Computers, Software, and Applications (COMPSAC 2024), Osaka, Japan, July 2-4, 2024.
  3. H-J Siao, S-H Lin, P-Y Chien, J-H Lin, C-W Hsu, Yu-Da Lin*, Detection of the behavior of Motorists for Giving way to pedestrians using YOLOv8, Symposium on digital life technologies, May 17-18, Taichung, Taiwan 2024.
  4. 曾冠瑋、郭家珍、蔡郁亭、林君韓、許瓊文、林昱達*,基於降維的機器學習分散式阻斷服務攻擊偵測系統,2024數位生活科技研討會暨民生電子論壇,2024/05/17~18,台中。
  5. 高雅鈴、洪慈憶、林昱達,網購物流服務失誤與補救對消費者滿意度和再購意願之影響,2024數位生活科技研討會暨民生電子論壇,2024/05/17~18,台中。
  6. J-Y Sung, Z-M Wang, H-J Siao, J-H Lin, C-W Hsu, Yu-Da Lin*, YOLOv5 Multi-Object Recognition for Taiwan Roads, 臺灣網際網路研討會暨全國計算機會議,2023/11/1~3,台北。
  7. J-H Lin, C-W Hsu, Yu-Da Lin*, Arithmetic Optimization Clustering Algorithm for Automatic Labeling in Human Activity Recognition, IET International Conference on Engineering Technologies and Applications, Taipei, Taiwan, Oct. 25-27, 2023.
  8. S-H Moi, Yu-Da Lin* (2023, Jul). A deep learning weighting model to identify mortality associated missense variants using cancer genomic data. The 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'23), Sydney, Australia.
  9. I-C Lin, Y-L Kao, Yu-Da Lin* (2023, Jul). Deep Learning to Modify the Travel Time of Users Using Public Transportation Services. IEEE International Symposium on Computer, Consumer and Control, Taichung, Taiwan.
  10. Y-L Kao, G-D Peng, J-T Hong, I-C Lin, Yu-Da Lin* (2023, Jul). A Preliminary Study on the Development of Drones Network Remote Identification Mechanism in Taiwan. IEEE International Symposium on Computer, Consumer and Control, Taichung, Taiwan.
  11. B-Y Lin, W-C Huang, M-S Wu, I-C Lin, S-H Shih, Y-L Kao, Yu-Da Lin* (2023, Jul). An intelligent Ama safety protection system based on smart IoT data and deep learning. IEEE International Symposium on Computer, Consumer and Control, Taichung, Taiwan.
  12. B-Y Lin, W-Z Huang, M-X Wu,  S-H Shi, Y-H Zheng, Yu-Da Lin* (2023, May). Integration of Walrus-related Intelligent Internet of Things (IoT) Data Construction Intelligent Ama safety and protection notification system. Conference on Information Technology and Applications in Outlying Island, Yilan, Taiwan.
  13. C-H Yang, Y-J Weng, Y-H Cheng, L-Y Chuang,  Yu-Da Lin* (2023, Apr). Application of Particle Swarm Optimization-based Catfish Effect on Polymerase Chain Reaction Primer Design. The 11th IEEE & 12th The International Conference on Science, Education, and Viable Engineering, Osaka, Japan.
  14. B-Y Lin, W-Z Huang, M-X Wu,  S-H Shi, Y-H Zheng, Yu-Da Lin* (2022, May). A study of clustering algorithm based on chaotic theory to improve particle swarm optimization in human activity recognition. Conference on Artificial Intelligence Technology and Application, Taichung, Taiwan.
  15. W-Z Huang,  B-Y Lin,  M-X Wu,  S-H Shi, Y-H Zheng, Yu-Da Lin* (2022, May). A Study of Improved Particle Swarm Optimization Algorithm for Human Activity Recognition. Conference on Information Technology and Applications in Outlying Island, Penghu, Taiwan.
  16. B-Y Lin, Yu-Da Lin* (2022, Mar). A Clustering-based Feature Selection for Automatic Labeling in Human Activity Recognition. The 2022 IEEE 4th Global Conference on Life Sciences and Technologies, Osaka, Japan.
  17. B-Y Lin, C-N Kuo, Yu-Da Lin* (2021, Nov). A Clustering-Based Gauss Chaotic Mapping Particle Swarm Optimization for Auto Labeling in Human Activity Recognition. The 26th International Conference on Technologies and Applications of Artificial Intelligence, Taichung, Taiwan.
  18. C-N Kuo, Yu-Da Lin, Y-H Cheng (2021, Nov). Analyze influence factors in customer’s insurance transaction by decision tree model. The 26th International Conference on Technologies and Applications of Artificial Intelligence, Taichung, Taiwan.
  19. W-C Huang, Yu-Da Lin* (2021, Oct). Activity Recognition Based on a Single Chest-Mounted Accelerometer Using an Improved Clustering Approach. The 8th IEEE & 9th The International Conference on Science, Education, and Viable Engineering, Taitung, Taiwan.
  20. Yu-Da Lin, T-T Shih, Y-D Wu, C-H Yang (2021, May). Multi-objective Catfish Particle Swarm Optimization Based on Multifactor Dimensionality Reduction for detecting Association between Single Nucleotide Polymorphisms. Conference on Information Technology and Applications in Outlying Island, Kinmen, Taiwan.
  21. C-H Yang, L-Y Chuang, Yu-Da Lin* (2020, Nov). Particular primers design using a machine learning algorithm for polymerase chain reaction. IEEE International Conference on Science, Education, and Viable Engineering, Penghu, Taiwan. (Corresponding author)
  22. C-H Yang, Y-S Chen, S-H Moi,  L-Y Chuang, Yu-Da Lin* (2020, Oct). Identification of Kidney Clear Cell Carcinoma Mortality Risk-Associated Gene Mutation by Using a Random Survival Forest Approach. The 20th IEEE International Conference on BioInformatics And BioEngineering, Boston, USA. (Corresponding author)
  23. C-H Yang, S-H Moi,  L-Y Chuang, Yu-Da Lin* (2020, Oct). New Evaluation Measures for Multifactor Dimensionality Reduction in SNP-SNP Interaction Analysis. The 20th IEEE International Conference on BioInformatics And BioEngineering, Boston, USA. (Corresponding author)
  24. L-Y Chuang, Y-C Song,  Yu-Da Lin*, C-H Yang (2020, Feb). Detection of CpG Islands in the Human Genome  Based on a Reinforcement Learning Difference Evolution. Symposium on Recent Advances in Cellular and Molecular Biology, Pingtung, Taiwan. (Corresponding author)
  25. C-H Yang, W-H Wang,  Yu-Da Lin*, L-Y Chuang (2020, Feb). Multilayer Sensor Applied to Cardiopulmonary Resuscitation Training System. Symposium on Recent Advances in Cellular and Molecular Biology, Pingtung, Taiwan. (Corresponding author)
  26. L-Y Chuang, J-H Ren,  Yu-Da Lin*, C-H Yang (2020, Feb). Improved Deep Learning Applied to Image Recognition of Lung Cancer. Symposium on Recent Advances in Cellular and Molecular Biology, Pingtung, Taiwan. (Corresponding author)
  27. C-H Yang, S-H Moi, L-Y Chuang, T-T Shih,  Yu-Da Lin* (2019, Dec). Improved Multiobjective Multifactor Dimensionality Reduction using Fuzzy Theory. IEEE Symposium Series on Computational Intelligence, Xiamen, China. (Corresponding author)
  28. C-H Yang, L-Y Chuang, S-H Moi,  Yu-Da Lin* (2019, Nov). Fuzzy-based approach for identifying epistasis in large-scale data. IEEE International Conference on Big Data Intelligence and Computing, Kaohsiung, Taiwan. (Corresponding author)
  29. C-H Yang, C-H Lien, B Lee, H-Y Yin,  Yu-Da Lin*, C-F Lee (2019, Nov). Forecasting hotel accommodation demand: the study in Kaohsiung. IEEE International Conference on Big Data Intelligence and Computing, Kaohsiung, Taiwan. (Corresponding author)
  30. L-Y Chuang, S-H Moi, C-H Yang, Yu-Da Lin* (2019, May). An effective strategy to enhance multi-factor dimensionality reduction for identifying the interaction between factors in case-control study. IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, Okinawa, Japan. (Corresponding author)
  31. L-Y Chuang, S-H Moi, C-H Yang, Yu-Da Lin* (2019, May). Cox regression analysis model using particle swarm optimization in breast cancer overall survival. IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, Okinawa, Japan. (Corresponding author)
  32. L-Y Chuang, C-H Yang, Yu-Da Lin* (2018, Oct). Improved multifactor dimensionality reduction for epistasis detection. IEEE International Conference on BioInformatics and BioEngineering, Taichung, Taiwan. (Corresponding author)
  33. L-Y Chuang, Yu-Da Lin*, C-H Yang (2018, Jul). Improved classification method for detecting the potential interactions between Genes. IEEE Computing Conference, London, United Kingdom. (Corresponding author)
  34. L-Y Chuang, Yu-Da Lin*, C-H Yang (2018, Jun). An improved multifactor dimensionality reduction to detect gene-gene interactions. International Conference on Intelligent, Interactive Systems and Applications, Hong Kong. (Corresponding author)
  35. C-H Yang, Yu-Da Lin*, L-Y Chuang (2017, Aug). Taguchi-enhanced binary differential evolution algorithm. IEEE International Conference on Scalable Computing and Communications, California, USA. (Corresponding author)
  36. L-Y Chuang, Yu-Da Lin*, C-H Yang (2017, Aug). High-performance computing for protein fold prediction. IEEE Conference on Advanced and Trusted Computing, San Francisco Bay Area, USA. (Corresponding author)
  37. L-Y Chuang, Yu-Da Lin*, C-H Yang (2017, May). Identification of SNP barcodes with breast cancer using complementary-logical particle swarm optimization. International Conference on Computer and Information Sciences, Kyoto, Japan. (Corresponding author)
  38. C-H Yang, Yu-Da Lin*, L-Y Chuang (2016, Aug). An improved particle swarm optimization to detect the SNP barcode for breast cancer prediction. International Conference on Computational Methods, CA, USA. (Corresponding author)
  39. J-F Yang, Yu-Da Lin*, L-Y Chuang, C-H Yang (2015, Apr). An improved GA for identifying susceptibility genes in the presence of epistasis. IEEE Congress on Evolutionary Computation, Sendai, Japan. (Corresponding author)
  40. L-Y Chuang, Y-S Lin, Y-K Kao, Yu-Da Lin*, C-H Yang (2015, Apr). High exploration particle swarm optimization for clustering problems. IEEE Congress on Evolutionary Computation, Sendai, Japan. (Corresponding author)
  41. L-Y Chuang, Yu-Da Lin, C-H. Yang (2014, Dec). An improved genetic algorithm to detect the SNP interaction model between the related genes of breast cancer. International Conference on Engineering and Applied Science, Hong Kong.
  42. M-L Hwang, Yu-Da Lin, L-Y Chuang, C-H Yang (2014, Jun). Determination of the SNP-SNP interaction between breast cancer related genes to analyze the disease susceptibility. International Conference of Knowledge Engineering and Applications, Hong Kong.
  43. L-Y Chuang, Yu-Da Lin, Y-H Cheng and C-H Yang (2014, Jan). SNP-SNP interaction using Gauss chaotic map particle swarm optimization to detect susceptibility to breast cancer. Hawaii International Conference on System Sciences, Hilton Waikoloa, Big island, USA.
  44. L-Y Chuang, Y-K Kao, Yu-Da Lin, C-H Yang (2013, May), Double-bottom chaotic map particle swarm optimization for high dimension clustering problem. The 2013 Conference on Information Technology and Applications in Outlying island, Kinmen, Taiwan.
  45. C-H Yang, Yu-Da Lin, L-Y Chuang (2013, Mar). Analysis of disease susceptibility using particle swarm optimization - time varying acceleration to generate SNP-barcode. The International MultiConference of Engineers and Computer Scientists, Hong Kong.
  46. L-Y Chuang, Yu-Da Lin, C-H Yang (2013, Apr). Gauss chaotic map particle swarm optimization for oxidative damage repair related genes to generate SNP barcode. The 2013 Conference on Information Technology and Applications in Outlying island, Kinmen, Taiwan.
  47. L-Y Chuang, Yu-Da Lin, C-H Yang (2013, Apr). Double-bottom chaotic map particle swarm optimization for SNP-SNP interaction to cell cycle control related genes. The 30th Workshop on Combinatorial Mathematics and Computation, Shoufeng, Hualien.
  48. L-Y Chuang, Yu-Da Lin, Cheng-Hong Yang (2013). Determining the model of interactions between the related genes of breast cancer using an improved genetic algorithm. International Conference on Chemical, Biological and Environment Sciences, Singapore.
  49. Yu-Da Lin, L-Y Chuang, C-H Yang, H-W Chang (2013, Jan). SNP-SNP interaction using particle swarm optimization to evaluate breast cancer susceptibility. The Twenty-first Symposium on Recent Advances in Cellular and Molecular Biology, Kenting, Taiwan.
  50. L-Y Chuang, Y-K Kao, Yu-Da Lin, C-H Yang (2012, Nov). Data clustering using fuzzy C-means with particle swarm optimization. The 2012 Conference on Technologies and Applications of Artificial Intelligence, Tainan, Taiwan.
  51. L-Y Chuang, Y-S Lin, Yu-Da Lin, C-H Yang (2012, Nov). Linear decreasing weight particle swarm optimization with time-variant acceleration coefficients based on linkage disequilibrium for Tag SNPs selection problem. The 2012 Conference on Technologies and Applications of Artificial Intelligence, Tainan, Taiwan.
  52. C-H Yang, Yu-Da Lin, L-Y Chuang, C-H Yang (2012, Jul). SNP barcode for breast cancer prediction using catfish particle swarm optimization. IASTED international conference on Modelling and Simulation, Banff, Canada.
  53. L-Y Chuang, Yu-Da Lin, Yang C-H (2012, May). CatfishPSO for SNP-SNP interaction, Conference on Information Technology and Applications in Outlying Islands, Penghu, Taiwan.
  54. L-Y Chuang, Yu-Da Lin, C-H Yang (2012, Mar). An improved particle swarm optimization for data clustering. International MultiConference of Engineers and Computer Scientists, Hong Kong.
  55. L-Y Chuang, Yu-Da Lin, C-H Yang (2012, Mar). PCR-RFLP primer design using particle swarm optimization combined with chaotic logistic map. IEEE International Conference on Advanced Information Networking and Applications, Fukuoka, Japan.
  56. L-Y Chuang, Y-C Chiang, Yu-Da Lin, C-H Yang (2011, Dec). An improved genetic algorithm for feature selection and classification. Cross-Strait Conference on Information Science and Technology and iCube, Taipei, Taiwan.
  57. L-Y Chuang, Yu-Da Lin, H-W Chang, C-H Yang (2011, Oct). An improved natural PCR-RFLP primer design method. IEEE International Conference on Bioinformatics and Bioengineering, Taichung, Taiwan.
  58. L-Y Chuang, M-C Lin, Yu-Da Lin, H-W Chang, C-H Yang (2011, Jul). Genetic algorithm based analysis for SNP-SNP interactions in breast cancer. International Conference on Computer Engineering and Applications, Haikou, China.
  59. L-Y Chuang, Yu-Da Lin, C-H Yang, H-W Chang (2011, May). Odds ratio based complementary-logic particle swarm optimization for multiple gene-gene interactions in breast cancer susceptibility. Workshop on Combinatorial Mathematics and Computation Theory, Penghu, Taiwan.
  60. L-Y Chuang, Yu-Da Lin, C-H Yang, H-W Chang (2011, Mar). A novel analysis of SNP interactions between twelve epigenetic modifier-related genes in breast cancer susceptibility. Proceedings of the 26th Joint Annual Conference of Biomedical Sciences, Taipei, Taiwan.
  61. L-Y Chuang, Yu-Da Lin, C-H Yang (2011, Mar). Limited-parameter optimization for PtRNASS using chaotic particle swarm optimization. Conference on the Proceedings of 2011 International MultiConference of Engineers and Computer Scientists, Hong-Kung.
  62. L-Y Chuang, Yu-Da Lin, C-H Yang, H-W Chang (2011, Feb). A methodological analysis of simulated SNP interactions between twelve animal model-related genes in breast cancer susceptibility. Nineteenth Symposium on Recent Advances in Cellular and Molecular Biology, Taiwan.

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