1. Wen, Po-Jiun, et al. "Sensor-Based Ozone Monitoring and Forecasting in a Synchrotron Radiation Laboratory Using Autoregressive Integrated Moving Average Models." Sensors 26.7 (2026): 2251.
  2. Z. Gao, Y. Chen, H. -C. Wu, Z. Kuang and S. -H. Fang, "Optimizing 3D Charging Direction Set for Directional UAV Chargers with Dual-Conical Charging Beams in 3D-WRSNs," in IEEE Transactions on Mobile Computing, doi: 10.1109/TMC.2026.3730542. keywords: {Antennas;Autonomous aerial vehicles;Timing;Scheduling;Schedules;Algorithms;Distance measurement;Beams;Image sensors;Vectors;3D Wireless rechargeable sensor networks;dual-conical charging beams;charging schedule;UAV charger;directional WPT},
  3. Z. Gao, W. Ye, Q. Gao, Z. Kuang, S. -H. Fang and H. -C. Wu, "Broker-Mode Tree-Structured Cooperative Offloading of Splittable Tasks for Dynamic Multi-UAV-Assisted MEC Systems," in IEEE Internet of Things Journal, vol. 13, no. 19, pp. 44628-44645, 1 Oct.1, 2026, doi: 10.1109/JIOT.2026.3715166. keywords: {Autonomous aerial vehicles;Energy consumption;Modeling;Optimization;Algorithms;Timing;Resource management;Delays;Internet of Things;Joints;Multi-UAV cooperation;multiuncrewed aerial vehicle (UAV)-assisted mobile edge computing (MEC);offloading decision;resource allocation;UAV trajectory},
  4. Saqib, Sana Ullah, et al. "A novel hybrid neuro-stochastic framework for human immunodeficiency virus and Hepatitis B Virus co-infection dynamics with vaccination: Computational aspects and dynamical analysis, with artificial neural network-based solutions." Engineering Applications of Artificial Intelligence 183 (2026): 116110.
  5. G. Liu, C. Chang, S. -H. Fang, H. -C. Wu and K. Yan, "Novel Hybrid Machine-Learning Technique for Robust Indoor Multisubject Tracking Using mmWave Radar," in IEEE Internet of Things Journal, vol. 13, no. 8, pp. 15929-15942, 15 April15, 2026, doi: 10.1109/JIOT.2026.3658372. keywords: {Radar tracking;Radar;Millimeter wave communication;Clustering algorithms;Cloud computing;Target tracking;Vectors;Sensors;Kalman filters;Radar detection;Adaptive hybrid clustering (AHC);condition number;Hungarian algorithm;indoor multisubject tracking;Kalman filter;millimeter-wave (mmWave) radar point cloud;outlier detection},
  6. Syu-Siang Wang, Wei-Jen Cheng, Chi-Te Wang, Chao-Hsiang Hung, and Shih-Hau Fang, “Improved Laryngeal Cancer Detection Using a Critical History-Based Multimodal Approach,” Expert Systems with Applications, vol. 325, pp. 132643, Sep., 2026.
  7. Wang, Syu-Siang, et al. "Domain adversarial training for robust pathological voice classification across microphones." Engineering Applications of Artificial Intelligence 167 (2026): 113835.
  8. Sana Ullah Saqib, Yin-Tzer Shih, Muhammad Jahanzaib, Abdul Wahab, Adnan, and Shih-Hau Fang, “Application of Tri-layered RNN Scheme for Maxwell Model Subject to MHD,” AIMS Mathematics, vol. 11, no. 1, pp. 881-906, Jan., 2026.
  9. Sana Ullah Saqib, Shih-Hau Fang, Muhammad Asif Zahoor Raja, Kottakkaran Sooppy Nisar, and Muhammad Shoaib, “Design of Intelligent Neuro-Supervised Deep Learning Networks to Analyze Brain Electrical Activity Rhythms of Parkinson’s Disease Model,” Cognitive Neurodynamics, vol. 20, pp. 32, Feb., 2026.
  10. S. -S. Wang, C. -C. Tsai, W. -C. Yu and S. -H. Fang, "A Lightweight Learning Framework for Packet Loss Concealment and Speech Enhancement," in IEEE Transactions on Cognitive Communications and Networking, vol. 11, no. 3, pp. 2043-2053, June 2025, doi: 10.1109/TCCN.2024.3482355. keywords: {Speech enhancement;Packet loss;Speech processing;Receivers;Noise;Training;Signal processing algorithms;Robustness;Noise measurement;Delays;Packet loss concealment;speech enhancement;fully convolutional network;interpolation-based post-filter;low-latency online communication},
  11. Ji-Yan Han, Ching-Ju Hsiao, Wei-Zhong Zheng, Ko-Cheng Weng, Guan-Min Ho, Chia-Yuan Chang, Chi-Te Wang, Shih-Hau Fang, and Ying-Hui Lai, “Enhancing the Performance of Pathological Voice Quality Assessment System Through the Attention-Mechanism Based Neural Network,” Journal of Voice, vol. 39, no. 4, pp. 1033-1043, Jul., 2025.
  12. S. -H. Fang, P. -H. Li, H. -H. Jung and S. -S. Wang, "Geometrically-informed Graph Neural Networks for Distributed Speech Enhancement in Challenging Acoustic Environments," in IEEE Sensors Letters, doi: 10.1109/LSENS.2025.3564309. keywords: {Microphones;Noise;Speech enhancement;Graph neural networks;Meters;Recording;Program processors;Noise measurement;Feature extraction;Training;Distributed speech enhancement;graph neural network;distributed microphone;geometirc informed;interpretability},
  13. Ta-Wei Wu, Shih-Hau Fang, Hsiao-Chun Wu, Guannan Liu, and Kun Yan, “Robust Skeletal-Graph Reconstruction Using mmWave Radar and its Application for Human-Activity Recognition,” IEEE Journal of Selected Areas in Sensors, vol. 2, pp. 199-211, June, 2025.
  14. S. -H. Fang, Y. -C. Jie, Y. -R. Chien and H. -C. Wu, "Robust Fractional Fourier Transform-Based Range Estimation Using Millimeter-Wave Radar for IoT Applications," in IEEE Internet of Things Journal, vol. 12, no. 22, pp. 47424-47436, 15 Nov.15, 2025, doi: 10.1109/JIOT.2025.3602469. keywords: {Radar;Estimation;Internet of Things;Millimeter wave communication;Discrete Fourier transforms;Clutter;Receivers;Monitoring;Time-frequency analysis;Signal resolution;fractional Fourier transform (FrFT);frequency-modulated continuous-wave (FMCW) radar;process innovation;range estimation;smart environments},
  15. Wang, C.-T., Chen, T.-M., Lee, N.-T. and Fang, S.-H. (2024), AI Detection of Glottic Neoplasm Using Voice Signals, Demographics, and Structured Medical Records. The Laryngoscope, 134: 4585-4592. https://doi.org/10.1002/lary.31563
  16. S. -S. Wang, J. -Y. Chen, B. -R. Bai, S. -H. Fang and Y. Tsao, "Unsupervised Face-Masked Speech Enhancement Using Generative Adversarial Networks With Human-in-the-Loop Assessment Metrics," in IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 32, pp. 3826-3837, 2024, doi: 10.1109/TASLP.2024.3426996. keywords: {Speech enhancement;Noise;Generators;Noise measurement;Measurement;Training;Recording;Face-masked speech enhancement;generative adversarial networks;human-in-the-loop;StarGAN;unsupervised learning},
  17. G. Liu, R. Xie, S. -H. Fang, H. -C. Wu and K. Yan, "Novel Human-Posture Recognition System Based on Advanced Graph Convolutional Network Using Skeletal Data," in IEEE Journal of Selected Areas in Sensors, vol. 1, pp. 224-236, 2024, doi: 10.1109/JSAS.2024.3475355. keywords: {Feature extraction;Sensors;Data mining;Sensor phenomena and characterization;Long short term memory;Image segmentation;Image recognition;Cameras;Videos;Graph convolutional networks;Automatic segmentation of skeletal data;graph convolutional network (GCN);human-posture recognition;Kinect V2 sensor;skeletal graph},
  18. K. Yan et al., "Novel Subject-Dependent Human-Posture Recognition Approach Using Tensor Regression," in IEEE Sensors Journal, vol. 25, no. 1, pp. 1041-1053, 1 Jan.1, 2025, doi: 10.1109/JSEN.2024.3493893. keywords: {Deep learning;Training;Support vector machines;Tensors;Codes;Three-dimensional displays;One shot learning;Feature extraction;Transformers;Vectors;Dynamic multidimensional time-series segmentation;human-posture recognition Kinect data;skeletal graph;tensor regression},
  19. Tsai, Cheng-Yuan, Sheng-Chain Chang, Chao-Hsiang Hung, Syu-Siang Wang, and Shih-Hau Fang. 2024. "Improved Speech Authenticity Detection in Chinese–English Bilingual Contexts" Sensors 24, no. 21: 6807. https://doi.org/10.3390/s24216807

名稱 開始日期 結束日期 委託單位 編號 參與身份別
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基於毫米波雷達之多人定位及姿態識別 2023/08/01 2025/10/31 國科會 112-2221-E-003-026-MY2 主持人