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• Decrease of pneumococcal community-acquired pneumonia hospitalization and associated complications in children after the implementation of the 13-valent pneumococcal conjugate vaccine (Pcv13) in taiwan

  Shen, C. F., Chen, J. L., Su, C. C., Lin, W. L., Hsieh, M. L., Liu, C. C. & Cheng, C. L., 2021 Sep, In: Vaccines. 9, 9, 1043.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Decreasing miscibility with greater heterogeneity in ternary polymer blend: Poly(cyclohexyl methacrylate), poly(α-methyl styrene) and poly(4-methyl styrene)

  Chang, L. L. & Woo, E., 2003 Feb 1, In: Polymer International. 52, 2, p. 249-256 8 p.

  Research output: Contribution to journal › Article › peer-review
  2 Citations (Scopus)

• Decreasing rate of biliary atresia in Taiwan: A survey, 2004-2009

  Lin, Y. C., Chang, M. H., Liao, S. F., Wu, J. F., Ni, Y. H., Tiao, M. M., Lai, M. W., Lee, H. C., Lin, C. C., Wu, T. C., Lau, B. H., Tsai, T. C., Yang, Y. J., Chen, A. C., Shih, H. H., Lee, I. H., Lee, W. C., Chen, H. L., Hsu, H. Y., Chiou, S. T. & 8 others, Chang, P. F., Yen, J. B., Chu, C. H., Tsai, C. C., Lin, L. H., Chen, S. M., Chen, C. G. & Hsieh, T. K., 2011 Sep, In: Pediatrics. 128, 3, p. e530-e536

  Research output: Contribution to journal › Article › peer-review
  37 Citations (Scopus)

• Decreasing reflection through the mutually positive effects of nanograss and nanopillars

  Lin, C-H., Shieh, J., Liang, C. C., Cheng, C. C. & Chen, Y. C., 2014 May 14, In: Journal of Materials Chemistry C. 2, 18, p. 3645-3650 6 p.

  Research output: Contribution to journal › Article › peer-review
  7 Citations (Scopus)

• Decreasing ten-year (2008–2018) trends of the prevalence of childhood asthma and air pollution in Southern Taiwan

  Chen, W. Y., Lin, C. W., Lee, J., Chen, P. S., Tsai, H. J. & Wang, J. Y., 2021 May, In: World Allergy Organization Journal. 14, 5, 100538.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  1 Citation (Scopus)

• Dedicated design and usability of a context-aware ubiquitous learning environment for developing receptive language skills: A case study

  Liu, G. Z., Kuo, F. R., Shi, Y. R. & Chen, Y. W., 2015, In: International Journal of Mobile Learning and Organisation. 9, 1, p. 49-65 17 p.

  Research output: Contribution to journal › Article › peer-review
  21 Citations (Scopus)

• Deducing cosmological observables from the S matrix

  Miao, S. P., Prokopec, T. & Woodard, R. P., 2017, In: Physical Review D. 96, 10, 104029.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  11 Citations (Scopus)

• Deduction of intracellular sub-systems from a topological description of the network

  Nordling, T. E. M., Hiroi, N., Funahashi, A. & Kitano, H., 2007, In: Molecular BioSystems. 3, 8, p. 523-529 7 p.

  Research output: Contribution to journal › Article › peer-review
  7 Citations (Scopus)

• Deep belief network based gaze tracker for auto-aiming system

  Chien, C. W., Tsai, T. N., Wu, L. F., Fang, N. C., Liu, C. Y. & Li, T. H. S., 2018 Feb 20, 2017 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2017. Institute of Electrical and Electronics Engineers Inc., 8297183. (International Conference on Advanced Robotics and Intelligent Systems, ARIS; vol. 2017-September).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Deep Belief Network-Based Learning Algorithm for Humanoid Robot in a Pitching Game

  Li, T. H. S., Kuo, P. H., Chang, C. Y., Hsu, H. P., Chen, Y. C. & Chang, C. H., 2019, In: IEEE Access. 7, p. 165659-165670 12 p., 8897548.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  2 Citations (Scopus)

• Deep brain stimulation modified autism-like deficits via the serotonin system in a valproic acid-induced rat model

  Wu, H. F., Chen, Y. J., Chu, M. C., Hsu, Y. T., Lu, T. Y., Chen, I. T., Chen, P. S. & Lin, H. C., 2018 Sep 19, In: International journal of molecular sciences. 19, 9, 2840.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  11 Citations (Scopus)

• Deep convective cloud phenomena in the upper troposphere/lower stratosphere - A new development in cloud science

  Wang, P. K., 2006.

  Research output: Contribution to conference › Paper › peer-review

• Deep Convolutional Neural Network on iOS mobile devices (Invited Paper)

  Chen, C. F., Lee, G. G., Sritapan, V. & Lin, C. Y., 2016 Dec 9, Proceedings - IEEE International Workshop on Signal Processing Systems, SiPS 2016. Institute of Electrical and Electronics Engineers Inc., p. 130-135 6 p. 7780085. (IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  10 Citations (Scopus)

• Deep correlation features for image style classification

  Chu, W. T. & Wu, Y. L., 2016 Oct 1, MM 2016 - Proceedings of the 2016 ACM Multimedia Conference. Association for Computing Machinery, Inc, p. 402-406 5 p. (MM 2016 - Proceedings of the 2016 ACM Multimedia Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  31 Citations (Scopus)

• Deep Denoising Autoencoder Based Post Filtering for Speech Enhancement

  Zezario, R. E., Huang, J. W., Lu, X., Tsao, Y., Hwang, H. T. & Wang, H. M., 2019 Mar 4, 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 373-377 5 p. 8659598. (2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  4 Citations (Scopus)

• Deep Ensemble Feature Network for Gastric Section Classification

  Lin, T. H., Jhang, J. Y., Huang, C. R., Tsai, Y. C., Cheng, H. C. & Sheu, B. S., 2021 Jan, In: IEEE Journal of Biomedical and Health Informatics. 25, 1, p. 77-87 11 p., 9107452.

  Research output: Contribution to journal › Article › peer-review
  3 Citations (Scopus)

• Deep Eutectic Solvent Based on Lithium Bis[(trifluoromethyl)sulfonyl] Imide (LiTFSI) and 2,2,2-Trifluoroacetamide (TFA) as a Promising Electrolyte for a High Voltage Lithium-Ion Battery with a LiMn₂O₄Cathode

  Dinh, T. T. A., Huynh, T. T. K., Le, L. T. M., Truong, T. T. T., Nguyen, O. H., Tran, K. T. T., Tran, M. V., Tran, P. H., Kaveevivitchai, W. & Le, P. M. L., 2020 Sep 22, In: ACS Omega. 5, 37, p. 23843-23853 11 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  15 Citations (Scopus)

• Deep fake image detection based on pairwise learning

  Hsu, C. C., Zhuang, Y. X. & Lee, C. Y., 2020 Jan 1, In: Applied Sciences (Switzerland). 10, 1, 370.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  51 Citations (Scopus)

• Deep-footing and wide-slab effects in reinforced sandy ground

  Huang, C-C. & Menq, F. Y., 1997 Jan 1, In: Journal of Geotechnical Engineering. 123, 1, p. 30-36 7 p.

  Research output: Contribution to journal › Article › peer-review
  85 Citations (Scopus)

• Deep fusion of heterogeneous sensor data

  Liu, Z., Zhang, W., Quek, T. Q. S. & Lin, S., 2017 Jun 16, 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 5965-5969 5 p. 7953301. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  12 Citations (Scopus)

• Deep hyperspectral tensor completion just using small data

  Lin, C-H., Lin, Y-C., Tang, P-W. & Chu, M-C., 2021 Jul 11, IEEE IGARSS. Brussels, Belgium

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Deep inelastic structure functions in light-front QCD: Radiative corrections

  Harindranath, A., Kundu, R. & Zhang, W. M., 1999 Mar 31, In: Physical Review D - Particles, Fields, Gravitation and Cosmology. 59, 9

  Research output: Contribution to journal › Article › peer-review
  33 Citations (Scopus)

• Deep inelastic structure functions in light-front QCD: Radiative corrections

  Harindranath, A., Kundu, R. & Zhang, W. M., 1999 May 1, In: Physical Review D - Particles, Fields, Gravitation and Cosmology. 59, 9, p. 1-14 14 p.

  Research output: Contribution to journal › Article › peer-review

• Deep joint compression and super-resolution low-rank network for fast hyperspectral data transmission

  Hsu, C-C., Lin, Y-C., Kao, C-H. & Lin, C-H., 2020 Aug 16, (Accepted/In press) The 33rd IPPR Conference on Computer Vision, Graphics, and Image Processing. Hsinchu, Taiwan

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Deep learning: emerging trends, applications and research challenges

  Chen, M. Y., Chiang, H. S., Lughofer, E. & Egrioglu, E., 2020 Jun 1, In: Soft Computing. 24, 11, p. 7835-7838 4 p.

  Research output: Contribution to journal › Editorial › peer-review

  Open Access
  6 Citations (Scopus)

• Deep-learning accelerated calculation of real-fluid properties in numerical simulation of complex flowfields

  Milan, P. J., Hickey, J. P., Wang, X. & Yang, V., 2021 Nov, In: Journal of Computational Physics. 444, 110567.

  Research output: Contribution to journal › Article › peer-review

• Deep learning-aided binary visible light communication systems

  Lee, H., Quek, T. Q. S. & Lee, S. H., 2019 Dec, 2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 9024576. (2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  1 Citation (Scopus)

• Deep learning and intelligent system towards smart manufacturing

  Chen, M. Y., Lughofer, E. D. & Egrioglu, E., 2022, In: Enterprise Information Systems. 16, 2, p. 189-192 4 p.

  Research output: Contribution to journal › Editorial › peer-review

  Open Access

• Deep learning approach for analysis and characterization of COVID-19

  Kumar, I., Alshamrani, S. S., Kumar, A., Rawat, J., Singh, K. U., Rashid, M. & AlGhamdi, A. S., 2021, In: Computers, Materials and Continua. 70, 1, p. 451-468 18 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  1 Citation (Scopus)

• Deep Learning Approach for Outage-Constrained Non-Orthogonal Random Access

  Jang, H. S., Lee, H. & Quek, T. Q. S., 2022 Mar 1, In: IEEE Wireless Communications Letters. 11, 3, p. 645-649 5 p.

  Research output: Contribution to journal › Article › peer-review

• Deep Learning-Assisted TeraHertz QPSK Detection Relying on Single-Bit Quantization

  He, D., Wang, Z., Quek, T. Q. S., Chen, S. & Hanzo, L., 2021 Dec 1, In: IEEE Transactions on Communications. 69, 12, p. 8175-8187 13 p.

  Research output: Contribution to journal › Article › peer-review
  1 Citation (Scopus)

• Deep Learning-Assisted Wireless-Powered Secure Communications With Imperfect Channel State Information

  Lee, W., Lee, K. & Quek, T. Q. S., 2021, (Accepted/In press) In: IEEE Internet of Things Journal.

  Research output: Contribution to journal › Article › peer-review

• Deep-learning based automated segmentation of Diabetic Retinopathy symptoms

  Yeh, H., Lee, C. Y., Lin, C. J. & Hsu, C. C., 2020 Nov, Proceedings - 2020 International Symposium on Computer, Consumer and Control, IS3C 2020. Institute of Electrical and Electronics Engineers Inc., p. 497-499 3 p. 9394100. (Proceedings - 2020 International Symposium on Computer, Consumer and Control, IS3C 2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Deep learning-based cellular random access framework

  Jang, H. S., Lee, H., Quek, T. Q. S. & Shin, H., 2021 Nov 1, In: IEEE Transactions on Wireless Communications. 20, 11, p. 7503-7518 16 p.

  Research output: Contribution to journal › Article › peer-review
  1 Citation (Scopus)

• Deep Learning-Based Decoding of Linear Block Codes for Spin-Torque Transfer Magnetic Random Access Memory

  Zhong, X., Cai, K., Mei, Z. & Quek, T. Q. S., 2021 Feb, In: IEEE Transactions on Magnetics. 57, 2, 9186087.

  Research output: Contribution to journal › Article › peer-review

• Deep-learning-based defective bean inspection with GAN-structured automated labeled data augmentation in coffee industry

  Chou, Y. C., Kuo, C. J., Chen, T. T., Horng, G. J., Pai, M. Y., Wu, M. E., Lin, Y. C., Hung, M. H., Su, W. T., Chen, Y. C., Wang, D. C. & Chen, C. C., 2019 Oct 1, In: Applied Sciences (Switzerland). 9, 19, 4166.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  13 Citations (Scopus)

• Deep learning based design of porous graphene for enhanced mechanical resilience

  Yu, C. H., Wu, C. Y. & Buehler, M. J., 2022 Apr 15, In: Computational Materials Science. 206, 111270.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Deep Learning-Based Power Control for Non-Orthogonal Random Access

  Jang, H. S., Lee, H. & Quek, T. Q. S., 2019 Nov, In: IEEE Communications Letters. 23, 11, p. 2004-2007 4 p., 8807130.

  Research output: Contribution to journal › Article › peer-review
  12 Citations (Scopus)

• Deep Learning Based Test Compression Analyzer

  Wu, C. H., Huang, Y., Lee, K. J., Cheng, W. T., Veda, G., Reddy, S., Hu, C. C. & Ye, C. S., 2019 Dec, Proceedings - 2019 IEEE 28th Asian Test Symposium, ATS 2019. IEEE Computer Society, p. 1-6 6 p. 8949417. (Proceedings of the Asian Test Symposium; vol. 2019-December).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Deep Learning-Based Transmit Power Control for Device Activity Detection and Channel Estimation in Massive Access

  Sun, Z., Yang, N., Li, C., Yuan, J. & Quek, T. Q. S., 2022 Jan 1, In: IEEE Wireless Communications Letters. 11, 1, p. 183-187 5 p.

  Research output: Contribution to journal › Article › peer-review

• Deep learning for breast cancer classification with mammography

  Yang, W. T., Su, T. Y., Cheng, T. C., He, Y. F. & Fang, Y. H., 2019, International Forum on Medical Imaging in Asia 2019. Kim, J. H., Fujita, H. & Lin, F. (eds.). SPIE, 1105014. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11050).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  1 Citation (Scopus)

• Deep Learning for Distributed Optimization: Applications to Wireless Resource Management

  Lee, H., Lee, S. H. & Quek, T. Q. S., 2019 Oct, In: IEEE Journal on Selected Areas in Communications. 37, 10, p. 2251-2266 16 p., 8792179.

  Research output: Contribution to journal › Article › peer-review
  46 Citations (Scopus)

• Deep learning for Etiology of Chronic Kidney Disease in Taiwan

  Chiu, S. M., Yang, F. J., Chen, Y. C. & Lee, C., 2020 Oct 23, 2nd IEEE Eurasia Conference on IOT, Communication and Engineering 2020, ECICE 2020. Meen, T-H. (ed.). Institute of Electrical and Electronics Engineers Inc., p. 322-325 4 p. 9301997. (2nd IEEE Eurasia Conference on IOT, Communication and Engineering 2020, ECICE 2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Deep Learning for Financial Engineering

  Chen, M. Y., Sangaiah, A. K., Chen, T. H., Lughofer, E. D. & Egrioglu, E., 2022 Apr, In: Computational Economics. 59, 4, p. 1277-1281 5 p.

  Research output: Contribution to journal › Editorial › peer-review

  Open Access

• Deep Learning for Monotonic Support Vector Machines

  Lo, M. C., Tsai, B. H. & Li, S. T., 2018 Jul 2, Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018. Institute of Electrical and Electronics Engineers Inc., p. 530-535 6 p. 8693415. (Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Deep learning for seismic template recognition

  Mu, D., Lee, E. J., Cicotti, P., Langer, F. J., Cui, Y., Qiu, J., Lee, H. J. & Morrin, C., 2018 Jul 22, Practice and Experience in Advanced Research Computing 2018: Seamless Creativity, PEARC 2018. Association for Computing Machinery, a58. (ACM International Conference Proceeding Series).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  2 Citations (Scopus)

• Deep Learning Framework for Wireless Systems: Applications to Optical Wireless Communications

  Lee, H., Lee, S. H., Quek, T. Q. S. & Lee, I., 2019 Mar, In: IEEE Communications Magazine. 57, 3, p. 35-41 7 p., 8663989.

  Research output: Contribution to journal › Article › peer-review
  23 Citations (Scopus)

• Deep Learning Methods in Internet of Medical Things for Valvular Heart Disease Screening System

  Su, Y. S., Ding, T. J. & Chen, M. Y., 2021 Dec 1, In: IEEE Internet of Things Journal. 8, 23, p. 16921-16932 12 p.

  Research output: Contribution to journal › Article › peer-review
  23 Citations (Scopus)

• Deep learning model to predict complex stress and strain fields in hierarchical composites

  Yang, Z., Yu, C. H. & Buehler, M. J., 2021 Apr 9, In: Science Advances. 7, 15, eabd7416.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  25 Citations (Scopus)

• Deep learning model to predict fracture mechanisms of graphene

  Lew, A. J., Yu, C. H., Hsu, Y. C. & Buehler, M. J., 2021 Dec, In: npj 2D Materials and Applications. 5, 1, 48.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  8 Citations (Scopus)