H.-T. Yau*, P.-H. Kuo, P.-Y. Lai, W.-Y. Jywe, “Thermal Displacement Prediction Model Based on Logistic Map Bifurcation, Newton’s Method, and Particle Swarm Optimization for Computer Numerical Control Three-Axis Milling Machine Tools,” IEEE Transactions on Instrumentation and Measurement, Vol. 74, pp. 2517514, 2025. (SCI, IF=5.6, 9/76, Q1)

P.-H. Kuo, S.-Y. Chen, P.-H. Feng, C.-W. Chang, C.-J. Huang, and C.-C. Peng*, “Reinforcement Learning-Based Fuzzy Controller for Autonomous Guided Vehicle Path Tracking,” Advanced Engineering Informatics, Vol. 65, pp. 103180, 2025. (SCI, IF=8.0, 4/181, Q1, Top 3% in Engineering, Multidisciplinary Category)

P.-H. Kuo, C.-W. Chang, C.-C. Chang, H.-T. Yau*, “Synthetic Minority Oversampling and Iterative Fluorescence-Suppression Integrated Algorithm for Raman Spectrum Pesticide Detection System,” Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, Vol. 326, pp. 125162, 2025. (SCI, IF=4.3, 5/44, Q1)

P.-H. Kuo*, W.-C. Yang, Y.-S. Lin, C.-C. Peng*, “Artificial Rabbits Optimization–Based Motion Balance System for the Impact Recovery of a Bipedal Robot,” Advanced Engineering Informatics, Vol. 63, pp. 102965, 2025. (SCI, IF=8.0, 4/181, Q1, Top 3% in Engineering, Multidisciplinary Category)

A. Mishra, H.-T. Yau, P.-H. Kuo, C. C. Wang*, “Achieving Sustainability by Identifying the Influences of Cutting Parameters on the Carbon Emissions of a Milling process,” The International Journal of Advanced Manufacturing Technology, Vol. 135, pp. 5409-5427, 2024. (SCI, IF=2.9, 29/68, Q2)

P.-H. Kuo, Y.-H. Li, H.-T. Yau*, “Development of Feline Infectious Peritonitis Diagnosis System by Using CatBoost Algorithm,” Computational Biology and Chemistry, Vol. 113, pp.108227, 2024. (SCI, IF=2.6, 35/109, Q2)

H.-T. Yau*, P.-H. Kuo, and S.-Y. Yu, “Bearing Fault Detection System Based on a Deep Diffusion Model,” Structural Health Monitoring, DOI: 10.1177/14759217241274335, 2024. (Early Access, SCI, IF=5.7, 15/181, Q1, Top 10% in Engineering, Multidisciplinary Category)

P.-H. Kuo, H.-H. Wu, H.-T. Yau*, “Deep Diffusion for Training Chatter Detection Systems for Machine Tools,” IEEE Sensors Journal, Vol. 24, No. 19, pp, 29814-29823, 2024. (SCI, IF=4.3, 15/76, Q1)

P.-H. Kuo, Y.-C. Shen, P.-H. Feng, Y.-J. Chiu, and H.-T. Yau*, “Transfer-Learning-Based Gesture and Pose Recognition System for Human–Robot Interaction: An Internet of Things Application,” IEEE Internet of Things Journal, Vol. 11, No. 21, pp. 35376-35389, 2024. (SCI, IF=8.2, 9/250, Q1, Top 5% in Computer Science, Information Systems Category)

H.-T. Yau*, P.-H. Kuo, T.-L. Tu, Y.-T. Chen, “Carbon Emissions and Parameter Optimization for Machine Tool Processing,” IEEE Sensors Journal, Vol. 24, No. 17, pp. 27225-27237, 2024. (SCI, IF=4.3, 15/76, Q1)

H.-T. Yau*, P.-H. Kuo, S.-W. Hong, “Milling Wear Prediction Using an Artificial Neural Network Model,” Engineering Applications of Artificial Intelligence, Vol. 135, pp. 108686, 2024. (SCI, IF=7.5, 6/84, Q1, Top 10% in Automation & Control Systems Category)

P.-H. Kuo, T.-Y. Liu, P.-W. Hsu, Y.-S. Lin, H.-T. Yau*, “Machine Tool Fault Diagnosis Model Based on Discrete Wavelet Transform and Transfer Learning,” IEEE Sensors Journal, Vol. 24, No. 14, pp. 22279-22292, 2024. (SCI, IF=4.3, 15/76, Q1)

M.-S. Liu, P.-H. Kuo, S.-L. Chen*, “Prediction of Machine Tool Spindle Assembly Quality Variation Based on the Stacking Ensemble Model,” The International Journal of Advanced Manufacturing Technology, Vol. 133, pp. 571-588, 2024. (SCI, IF=2.9, 29/68, Q2)

C.-C. Wang*, P.-H. Kuo, T.-J. Peng, M. Oshima, S. Cuypers, Y.-T. Chen, “Voting Model Prediction of Nonlinear Behavior for Double-Circumferential-Slot Air Bearing System,” Chaos, Solitons & Fractals, Vol. 183, pp. 114908, 2024. (SCI, IF=5.3, 2/60, Q1, Top 5% in Physics, Mathematical Category)

P.-H. Kuo*, C.-J. Huang*, W.-C. Yang, P.-W. Hsu, W.-H. Chang, X.-Y. Chen, “A Machine Learning-Based Motion Training Approach Applied to Multilegged and Bipedal Robots,” Control Engineering Practice, Vol. 147, pp. 105913, 2024. (SCI, IF=5.4, 59/353, Q1)

P.-H. Lin, P.-H. Kuo*, K.-L. Chen, “Developmental Prediction of Poststroke Patients in Activities of Daily Living by Using Tree-Structured Parzen Estimator–Optimized Stacking Ensemble Approaches,” IEEE Journal of Biomedical and Health Informatics, Vol. 28, No. 5, pp. 2745-2758, 2024. (SCI, IF=6.7, 3/44, Q1, Top 10% in Medical Informatics Category)

P.-H. Kuo, P.-L. Lin, H.-T. Yau*, “Chatter Detection Approach Based on Wavelet Synchrosqueezing and t-Distributed Stochastic Neighbor Embedding for a Turning Process,” IEEE Sensors Journal, Vol. 24, No. 7, pp. 9660-9670, 2024. (SCI, IF=4.3, 15/76, Q1)

P.-H. Kuo, M.-J. Syu, S.-Y. Yin, H.-H. Liu, C.-Y. Zeng, W.-C. Lin, H.-T. Yau*, “Intelligent Optimization Algorithms for Control Error Compensation and Task Scheduling for a Robotic Arm,” International Journal of Intelligent Robotics and Applications, Vol. 8, pp. 334-356, 2024. (ESCI, IF=2.1, 28/46, Q3)

T.-J. Peng, P.-H. Kuo, W.-C. Huang, and C.-C. Wang*, “Nonlinear Dynamic Analysis and Forecasting of Symmetric Aerostatic Cavities Bearing Systems,” International Journal of Bifurcation and Chaos, Vol. 34, No. 4, pp. 2430008, 2024. (SCI, IF=1.9, 47/135, Q2)

P.-H. Kuo, C.-W. Chang, Y.-R. Tseng, H.-T. Yau*, “Efficient, Automatic, and Optimized Portable Raman-Spectrum-Based Pesticide Detection System,” Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, Vol. 308, pp. 123787, 2024. (SCI, IF=4.3, 5/44, Q1)

H.-T. Yau*, P.-H. Kuo, S.-C. Chen, P.-Y. Lai, “Transfer-Learning-Based Long Short-Term Memory Model for Machine Tool Spindle Thermal Displacement Compensation,” IEEE Sensors Journal, Vol. 24, No. 1, pp. 132-143, 2024. (SCI, IF=4.3, 15/76, Q1)

H.-T. Yau*, P.-H. Kuo, P.-C. Luan, Y.-R. Tseng, “Proximal Policy Optimization–Based Controller for Chaotic Systems,” International Journal of Robust and Nonlinear Control, Vol. 34, No. 1, pp. 586-601, 2024. (SCI, IF=3.2, 14/332, Q1, Top 5% in Mathematics, Applied Category)

H.-T. Yau*, P.-H. Kuo, D.-Y. Cai, C.-Y. Lin, “Construction of an Online Machine Tool Wear Prediction System by Using a Time-Delay Phase Space Reconstruction-Based Dilation Convolutional Neural Network,” IEEE Sensors Journal, Vol. 23, No. 19, pp. 22295-22312, 2023. (SCI, IF=4.3, 15/76, Q1)

C.-W. Jan, Y.-J. Chiu, K.-L. Chen, T.-C. Yao, P.-H. Kuo*, “Optical Based Gradient-Weighted Class Activation Mapping and Transfer Learning Integrated Pneumonia Prediction Model,” Computer Systems Science and Engineering, Vol. 47, No. 3, pp. 2989-3010, 2023. (SCI, 2022 IF=2.2, 56/111, Q3)

P.-H. Kuo, T.-L. Tu, Y.-W. Chen, W.-Y. Jywe, H.-T. Yau*, “Thermal Displacement Prediction Model with a Structural Optimized Transfer Learning Technique,” Case Studies in Thermal Engineering, Vol. 49, pp. 103323, 2023. (SCI, IF=6.4, 5/78, Q1, Top 10% in Thermodynamics Category)

P.-H. Kuo, Y.-R. Tseng, P.-C. Luan, H.-T. Yau*, “Broad Transfer Learning Network Based Li-ion Battery Lifetime Prediction Model,” Energy Reports, Vol. 10, pp. 881-893, 2023. (SCI, IF=4.7, 77/171, Q2)

P.-H. Kuo*, K.-L. Chen, “Two-Stage Fuzzy Object Grasping Controller for a Humanoid Robot with Proximal Policy Optimization,” Engineering Applications of Artificial Intelligence, Vol. 125, pp. 106694, 2023. (SCI, IF=7.5, 6/84, Q1, Top 10% in Automation & Control Systems Category)

P.-H. Kuo*, J. Hu, K.-L. Chen, W.-H. Chang, X.-Y. Chen, C.-J. Huang*, “Sequential Sensor Fusion–Based W-DDPG Gait Controller of Bipedal Robots for Adaptive Slope Walking,” Advanced Engineering Informatics, Vol. 57, pp. 102067, 2023. (SCI, IF=8.0, 4/181, Q1, Top 3% in Engineering, Multidisciplinary Category)

P.-H. Kuo, C.-H. Lee, H.-T. Yau*, “Stacking Ensemble Transfer Learning Based Thermal Displacement Prediction System,” International Journal of Optomechatronics, Vol. 17, No. 1, pp. 2225573, 2023. (SCI, IF=6.7, 8/183, Q1, Top 5% in Engineering, Mechanical Category)

P.-H. Kuo, C.-H. Pao, E.-Y. Chang, H.-T. Yau*, “Deep-Reinforcement-Learning-Based Gait Pattern Controller on an Uneven Terrain for Humanoid Robots,” International Journal of Optomechatronics, Vol. 17, No. 1, pp. 2222146, 2023. (SCI, IF=6.7, 8/183, Q1, Top 5% in Engineering, Mechanical Category)

P.-H. Kuo*, W.-C. Yang, P.-W. Hsu, K.-L. Chen, “Intelligent Proximal-Policy-Optimization-Based Decision-Making System for Humanoid Robots,” Advanced Engineering Informatics, Vol. 56, pp. 102009, 2023. (SCI, IF=8.0, 4/181, Q1, Top 3% in Engineering, Multidisciplinary Category)

P.-H. Kuo*, C.-T. Huang, T.-C. Yao, “Optimized Transfer Learning Based Dementia Prediction System for Rehabilitation Therapy Planning,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 31, pp. 2047-2059, 2023. (SCI, IF=4.8, 5/170, Q1, Top 3% in Rehabilitation Category)

P.-H. Kuo, Y.-W. Chen, T.-H. Hsieh, W.-Y. Jywe, H.-T. Yau*, “A Thermal Displacement Prediction System with an Automatic LRGTVAC-PSO Optimized Branch Structured Bidirectional GRU Neural Network,” IEEE Sensors Journal, Vol. 23, No. 12, pp. 12574-12586, 2023. (SCI, IF=4.3, 15/76, Q1)

C.-Y. Lin, S.-C. Wu, P.-H. Kuo, M.-J. Huang, S.-W. Hong, H.-T. Yau*, “Application of Chaotic Encryption and Decryption in Wireless Transmission from Sensory Toolholders on Machine Tools,” IEEE Sensors Journal, Vol. 23, No. 11, pp. 11453-11468, 2023. (SCI, IF=4.3, 15/76, Q1)

P.-H. Kuo, P.-C. Luan, Y.-R. Tseng, and H.-T. Yau*, “Machine Tool Chattering Monitoring by Chen-Lee Chaotic System Based Deep Convolutional Generative Adversarial Nets,” Structural Health Monitoring, Vol. 22, No. 6, pp. 3891-3907, 2023. (SCI, IF=5.7, 15/181, Q1, Top 10% in Engineering, Multidisciplinary Category)

P.-H. Kuo, Y.-R. Tseng, P.-C. Luan, and H.-T. Yau*, “Novel Fractional Order Convolutional Neural Network Based Chatter Diagnosis Approach in Turning Process with Chaos Error Mapping,” Nonlinear Dynamics, Vol. 111, No. 8, pp. 7547-7564, 2023. (SCI, IF=5.2, 14/170, Q1, Top 10% in Mechanics Category) 

P.-H. Kuo, S.-C. Chen, C.-H. Lee, P.-C. Luan, and H.-T. Yau*, “Ensemble Model for Spindle Thermal Displacement Prediction of Machine Tools,” Computer Modeling in Engineering and Sciences, Vol. 137, No. 1, pp. 319-343, 2023. (SCI, IF=2.2, 39/135, Q2)  

P.-H. Kuo, S.-Y. Chen, and H.-T. Yau*, “A Multimodel Transfer-Learning-Based Car Price Prediction Model with an Automatic Fuzzy Logic Parameter Optimizer,” Computer Systems Science and Engineering, Vol. 46, No. 2, pp. 1577-1596, 2023. (SCI, 2022 IF=2.2, 56/111, Q3)

P.-H. Kuo, Y.-T. Chen, and H.-T. Yau*, “SMOGN, MFO, and XGBoost Based Excitation Current Prediction Model for Synchronous Machine,” Computer Systems Science and Engineering, Vol. 46, No. 3, pp. 2687-2709, 2023. (SCI, 2022 IF=2.2, 56/111, Q3)

P.-H. Kuo, D.-Y. Cai, P.-C. Luan, and H.-T. Yau*, “Branched Neural Network Based Model for Cutter Wear Prediction in Machine Tools,” Structural Health Monitoring, Vol. 22, No. 4, pp. 2769-2784, 2023. (SCI, IF=5.7, 15/181, Q1, Top 10% in Engineering, Multidisciplinary Category)

P.-H. Lin, and P.-H. Kuo*, “Ensemble Learning Based Functional Independence Ability Estimator for Pediatric Brain Tumor Survivors,” Health Informatics Journal, Vol. 28, No. 4, pp. 1-33, 2022. (SCI, IF=2.2, 83/174, Q2)

P.-H. Kuo, C.-Y. Lin, P.-C. Luan, and H.-T. Yau*, “Dense-Block Structured Convolutional Neural Network Based Analytical Prediction System of Cutting Tool Wear,” IEEE Sensors Journal, Vol. 22, No. 21, pp. 20257-20267, 2022. (SCI, IF=4.3, 15/76, Q1)

T.-H. S. Li*, H.-J. Chiu, and P.-H. Kuo*, “Hepatitis C Virus Detection Model by Using Random Forest, Logistic-Regression and ABC Algorithm,” IEEE Access, Vol. 10, pp. 91045-91058, 2022. (SCI, IF=3.4, 122/353, Q2)

C.-C. Wang*, P.-H. Kuo, and G.-Y. Chen, “Machine-Learning Prediction of Turning Precision Using Optimized XGBoost Model,” Applied Sciences, Vol. 12, No. 15, pp. 7739, 2022. (SCI, IF=2.5, 44/181, Q1)

P.-H. Kuo, M.-J. Huang, P.-C. Luan, and H.-T. Yau*, “Study on Bandwidth Analyzed Adaptive Boosting Machine Tool Chatter Diagnosis System,” IEEE Sensors Journal, Vol. 22, No. 9, pp. 8449-8459, 2022. (SCI, IF=4.3, 15/76, Q1)

P.-H. Kuo, T.-C. Tseng, P.-C. Luan, and H.-T. Yau*, “Dense-Structured Network Based Bearing Remaining Useful Life Prediction System,” Computer Modeling in Engineering and Sciences, Vol. 131, No. 1, pp. 1–19, 2022. (SCI, IF=2.2, 39/135, Q2)

P.-H. Kuo*, J. Hu, S.-T. Lin, and P.-W. Hsu, “Fuzzy Deep Deterministic Policy Gradient Based Motion Controller for Humanoid Robot,” International Journal of Fuzzy Systems, Vol. 24, No. 5, pp. 2476-2492, 2022. (SCI, IF=3.6, 78/250, Q2)

T.-H. S. Li*, P.-H. Kuo, L.-H. Chen, C.-C. Hung, P.-C. Luan, H.-P. Hsu, C.-H. Chang, Y.-T. Hsieh, and W.-H Lin, “Fuzzy Double Deep Q-Network-Based Gait Pattern Controller for Humanoid Robots,” IEEE Transactions on Fuzzy Systems, Vol. 30, No. 1, pp. 147–161, 2022. (SCI, IF=10.7, 10/353, Q1, Top 3% in Engineering, Electrical & Electronic Category)

C.-J. Huang, Y. Shen, P.-H. Kuo, Y.-H. Chen*, “Novel Spatiotemporal Feature Extraction Parallel Deep Neural Network for Forecasting Confirmed Cases of Coronavirus Disease 2019,” Socio-Economic Planning Sciences, Vol. 80, pp. 100976, 2022.  (SCI, SSCI, IF=6.2, 32/597, Q1, Top 10% in Economics Category) 

P.-H. Kuo, R.-J. Liou, P. Nilaphruek, K. Kanchanasatian, T.-H. Chen, and R.-M. Lee*, “Multi-sensor-based Environmental Forecasting System for Smart Durian Farms in Tropical Regions,” Sensors and Materials, Vol. 33, No. 10, pp. 3547–3561, 2021. (SCI, IF=1.0, 62/76, Q4)

P.-H. Kuo, S.-T. Lin, J. Hu, and Ch.-J. Huang*, “Multi-Sensor Context-Aware Based Chatbot Model: An Application of Humanoid Companion Robot,” Sensors, Vol. 21, No. 15, pp. 5132, 2021. (SCI, IF=3.4, 24/76, Q2)

Y. Shen, Y. Ma, S. Deng, C.-J. Huang* and P.-H. Kuo*, “An Ensemble Model based on Deep Learning and Data Preprocessing for Short-Term Electrical Load Forecasting,” Sustainability, Vol. 13, No. 4, pp. 1694, 2021. (SCI, IF=3.3, 66/182, Q2)

T.-H. S. Li, P.-H. Kuo*, C.-H. Cheng, C.-C. Hung, P.-C. Luan, and C.-H. Chang, “Sequential Sensor Fusion Based Real-Time LSTM Gait Pattern Controller for Biped Robot,” IEEE Sensors Journal, Vol. 21, No. 2, pp. 2241-2255, 2020. (SCI, IF=4.3, 15/76, Q1) 

H.-J. Chiu, T.-H. S. Li*, and P.-H. Kuo*, “Breast Cancer–Detection System Using PCA, Multilayer Perceptron, Transfer Learning, and Support Vector Machine,” IEEE Access, Vol. 8, pp. 204309-204324, 2020. (SCI, IF=3.4, 122/353, Q2)

P.-H. Kuo, R.-M. Lee, and C.-C. Wang*, “A High-Precision Random Forest–Based Maximum Lyapunov Exponent Prediction Model for Spherical Porous Gas Bearing Systems,” IEEE Access, Vol. 8, pp. 168079-168086, 2020. (SCI, IF=3.4, 122/353, Q2)

P.-H. Kuo*, S.-T. Lin and J. Hu, “DNAE-GAN: Noise-Free Acoustic Signal Generator by Integrating Autoencoder and Generative Adversarial Network,” International Journal of Distributed Sensor Networks, Vol. 16, No. 5, pp. 1-13, 2020. (SCI, IF=1.9, 156/250, Q3)

T.-H. S. Li, P.-H. Kuo*, C.-Y. Chang, H.-P. Hsu, Y.-C. Chen, and C.-H. Chang, “Deep Belief Network Based Learning Algorithm for Humanoid Robot in a Pitching Game,” IEEE Access, Vol. 7, pp. 165659-165670, 2019. (SCI, IF=3.4, 122/353, Q2)

T.-H. S. Li, P.-H. Kuo*, Y.-F. Ho, and G.-H. Liou, “Intelligent Control Strategy for Robotic Arm by Using Adaptive Inertia Weight and Acceleration Coefficients Particle Swarm Optimization,” IEEE Access, Vol. 7, pp. 126929-126940, 2019. (SCI, IF=3.4, 122/353, Q2)

T.-H. S. Li, P.-H. Kuo*, T.-N. Tsai, and P.-C. Luan, “CNN and LSTM Based Facial Expression Analysis Model for a Humanoid Robot,” IEEE Access, Vol. 7, pp. 93998-94011, 2019. (SCI, IF=3.4, 122/353, Q2)

C.-J. Huang and P.-H. Kuo*, “Multiple-Input Deep Convolutional Neural Network Model for Short-Term Photovoltaic Power Forecasting,” IEEE Access, Vol. 7, pp. 74822-74834, 2019. (SCI, IF=3.4, 122/353, Q2)

H.-C. Chen, P.-H. Kuo and C.-J. Huang*, “A Mutual Blocking Technology Applied to Dual Power Source Switching Control,” Energies, Vol. 12, No. 4, pp. 576, 2019. (SCI, IF=3.0, 107/171, Q3)

C.-J. Huang and P.-H. Kuo*, “A Short-Term Wind Speed Forecasting Model by Using Artificial Neural Networks with Stochastic Optimization for Renewable Energy Systems,” Energies, Vol. 11, No. 10, pp. 2777, 2018. (SCI, IF=3.0, 107/171, Q3)

C.-J. Huang and P.-H. Kuo*, “A Deep CNN-LSTM Model for Particulate Matter (PM2.5) Forecasting in Smart Cities,” Sensors, Vol. 18, No. 7, pp. 2220, 2018. (SCI, IF=3.4, 24/76, Q2)

P.-H. Kuo and C.-J. Huang*, “A High Precision Artificial Neural Networks Model for Short-Term Energy Load Forecasting,” Energies, Vol. 11, No. 1, pp. 213, 2018. (SCI, IF=3.0, 107/171, Q3)

P.-H. Kuo and C.-J. Huang*, “A Green Energy Application in Energy Management Systems by an Artificial Intelligence-Based Solar Radiation Forecasting Model,” Energies, Vol. 11, No. 4, pp. 819, 2018. (SCI, IF=3.0, 107/171, Q3)

P.-H. Kuo and48/128 C. Huang*, “An Electricity Price Forecasting Model by Hybrid Structured Deep Neural Networks,” Sustainability, Vol. 10, No. 4, pp. 1280, 2018. (SCI, IF=3.3, 66/182, Q2)

P.-H. Kuo, H.-C. Chen and C.-J. Huang*, “Solar Radiation Estimation Algorithm and Field Verification in Taiwan,” Energies, Vol. 11, No. 6, pp. 1374, 2018. (SCI, IF=3.0, 107/171, Q3)

T.-H. S. Li*, Y.-F. Ho, P.-H. Kuo, Y.-T. Ye, and L.-F. Wu, “Natural walking reference generation based on double-link LIPM gait planning algorithm,” IEEE Access, Vol. 5, pp. 2459–2469, 2017. (SCI, IF=3.4, 122/353, Q2)

T.-H. S. Li*, Chih-Yin Liu, P.-H. Kuo, N.-C. Fang, C.-H. Li, C.-W. Cheng, C.-Y. Hsieh, L.-F. Wu, J.-J. Liang, and C.-Y. Chen, “A three-dimensional adaptive PSO-based packing algorithm for an IoT-based automated e-fulfillment packaging system,” IEEE Access, Vol. 5, pp. 9188–9205, 2017. (SCI, IF=3.4, 122/353, Q2)

T.-H. S. Li*, C.-Y. Liu, P.-H. Kuo et al., “Reciprocal learning for robot peers,” IEEE Access, Vol. 5, pp. 6198–6211, 2017. (SCI, IF=3.4, 122/353, Q2)

T.-H. S. Li*, P.-H. Kuo, Y.-F. Ho et al., “Robots that think fast and slow: an example of throwing the ball into the basket,” IEEE Access, Vol. 4, pp. 5052–5064, 2016. (SCI, IF=3.4, 122/353, Q2)

P.-H. Kuo, T.-H. S. Li*, G.-Y. Chen, Y.-F. Ho and C.-J. Lin, “A migrant-inspired path planning algorithm for obstacle run using particle swarm optimization, potential field navigation, and fuzzy logic controller,” The Knowledge Engineering Review, Vol. 32, pp. 1–17, 2016. (SCI, IF=2.8, 98/197, Q2)

Y.-F. Ho, T.-H. S. Li*, P.-H. Kuo, and Y.-T. Ye, “Parameterized gait pattern generator based on linear inverted pendulum model with natural ZMP references,” The Knowledge Engineering Review, Vol. 32, pp. 1–17, 2016. (SCI, IF=2.8, 98/197, Q2)

C.-J. Lin, T.-H. S. Li*, P.-H. Kuo and Y.-H. Wang, “Integrated particle swarm optimization algorithm based obstacle avoidance control design for home service robot,” Computers and Electrical Engineering, Vol. 56, pp. 748–762, 2016. (SCI, IF=4.0, 11/59, Q1)

T.-H. S. Li*, C.-J. Lin, P.-H. Kuo and Y.-H. Wang, “Grasping posture control design for a home service robot using an ABC-based adaptive PSO algorithm,” International Journal of Advanced Robotic Systems, Vol. 13, No. 118, pp. 1–15, 2016. (SCI, IF=2.1, 28/46, Q3)

T.-H. S. Li*, M.-C. Kao and P.-H. Kuo, “Recognition system for home-service-related sign language using entropy-based K-means algorithm and ABC-based HMM,” IEEE Transactions on Systems, Man, And Cybernetics: Systems, Vol. 46, No. 1, pp.150–162, 2016. (SCI, IF=8.6, 5/84, Q1, Top 10% in Automation & Control Systems Category)

T.-H. S. Li*, P.-H. Kuo, Y.-F. Ho, M.-C. Kao and L.-H. Tai, “Biped gait learning algorithm for humanoid robots based on environmental impact assessed artificial bee colony,” IEEE Access, Vol. 3, pp. 13–26, 2015. (SCI, IF=3.4, 122/353, Q2)

P.-H. Kuo, T.-H. S. Li*, Y.-F. Ho and C.-J. Lin, “Development of an automatic emotional music accompaniment system by fuzzy logic and adaptive partition evolutionary genetic algorithm,” IEEE Access, Vol. 3, pp. 815–824, 2015. (SCI, IF=3.4, 122/353, Q2)

T.-C. Feng, T.-H. S. Li* and P.-H. Kuo, “Variable coded hierarchical fuzzy classification model using DNA coding and evolutionary programming,” Applied Mathematical Modelling, Vol. 39, No. 23–24, pp.7401–7419, 2015. (SCI, IF=4.4, 10/135, Q1, Top 10% in Mathematics, Interdisciplinary Applications Category)

C.-J. Huang, J. Hu, W.-C. Yang, X.-Y. Chen, W.-H. Chang, and P.-H. Kuo*, “Multisensor Gesture Recognition and Target Tracking Strategy for Human–Robot Interaction System,” in Proc. IEEE International Conference on Applied System Innovation 2022 (IEEE ICASI 2022), 2022.

W.-C. Yang, P.-W. Hsu, and P.-H. Kuo*, “Extreme Motion Training Algorithms for Robots,” in Proc. 2021 International Automatic Control Conference (CACS 2021), 2021.

P.-C. Luan, H.-P. Hsu, and P.-H. Kuo, and T.-H. S. Li*, “IFB-PSO for Optimized Realization of an Anthropomorphic Robotic Hand,” in Proc. 2020 International Automatic Control Conference (CACS 2020), 2020.

S.-T. Lin, J. Hu, and P.-H. Kuo*, “The Development and Implementation of Image and Speech Signal Based Chatbot System for Humanoid Robot,” in Proc. 2020 International Automatic Control Conference (CACS 2020), 2020.

P.-C. Luan, Y.-C. Chen, P.-H. Kuo, and T.-H. S. Li*, “Electromyographic Hand Gesture Classification Using Lifelong Learning,” in Proc. International conference on Advanced Robotics and Intelligent Systems (ARIS 2020), 2020.

C.-C. Hung, C.-H. Chang, P.-H. Kuo, and T.-H. S. Li*, “Convolutional LSTM and Transfer Learning Based Gait Pattern Controller for Humanoid Robot with Different Weight Loading,” in Proc. International conference on Advanced Robotics and Intelligent Systems (ARIS 2020), 2020.

C.-Y. Liu, P.-C. Luan, P.-H. Kuo, and T.-H. S. Li*, “Intelligent Mechanism Optimization and Behavior Planning by Using ACGABC and Q-Learning Algorithm for Toddler-sized Humanoid Robot” in Proc. 2019 International Automatic Control Conference (CACS 2019), 2019.

J. Hu, S.-T. Lin, and P.-H. Kuo*, “Voice Imitation Model with an Autoencoder and Generative Adversarial Network” in Proc. 2019 International Automatic Control Conference (CACS 2019), 2019.

C.-J. Huang, M.-C. Hwang, H.-C. Chen, and P.-H. Kuo, “PV System Power Model Application in Smart Cities” in Proc. 2019 IEEE 2nd International Conference on Knowledge Innovation and Invention (ICKII), pp. 31-32, 2019.

M.-C. Kao, T.-H. S. Li*, and P.-H. Kuo, “Double Peak CAMS Algorithm Based Object Searching for a Human Partner System” in Proc. IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2018), pp. 1827-1832, 2018.

P.-H. Kuo, Y.-C. Chen, Y. Zhu, and C.-J. Huang*, “A Portable Low-Cost Mobile Phone Solar Charger” in Proc. Innovation, Communication and Engineering (ICICE 2018), 2018, DOI: 10.1201/9780429019777-16.

C.-J. Huang, Y.-C. Chen, M.-C. Hwang, and P.-H. Kuo*, “A Simple Solar Radiation Estimation Algorithm Design and Field Verification” in Proc. Innovation, Communication and Engineering (ICICE 2018), 2018, DOI: 10.1201/9780429019777-33 .

C.-H. Cheng, C.-Y. Huang, P.-H. Kuo, and T.-H. S. Li, “Design of Long-Short Term Memory Gait Pattern Controller for Teen-Sized Humanoid Robot” in Proc. 2018 International Automatic Control Conference (CACS 2018), 2018.

S.-T. Lin, J. Hu, C.-H. Shih, C.-J. Huang and P.-H. Kuo*, “Particle Swarm Optimization Based Motion Learning Method for Humanoid Robot,” in Proc. 2018 International Automatic Control Conference (CACS 2018), 2018.

T.-N. Tsai, P.-H. Kuo, and T.-H. S. Li*, “Deep Neural Network Based Emotion Recognition System for Humanoid Robot,” in Proc. International conference on Advanced Robotics and Intelligent Systems (ARIS 2018), 2018.

M.-C. Hwang, P.-H. Kuo and C.-J. Huang*, “The Stereoscopic Model of a Hexapod Robot,” in Proc. 6th International Symposium on Sensor Science and 4th SPINTECH Technology Thesis Award, Paper ID: I3S2018-98, 2018.

C.-J. Huang, M.-C. Hwang, H. Hu, P.-H. Kuo*, “Feedback Linearization Control Design applied to a Mathematical HIV/AIDS Model a Mathematical HIV/AIDS Model,” in Proc. 6th International Symposium on Sensor Science and 4th SPINTECH Technology Thesis Award, Paper ID: I3S2018-14, 2018.

S.-T. Lin, J. Hu, C.-H. Shih, C.-J. Huang and P.-H. Kuo*, “The Development of Supervised Motion Learning and Vision System for Humanoid Robot,” in Proc. URUICST 2018, 2018.

P.-H. Kuo, H.-C. Chen, and C.-J. Huang*, “Solar Daily Irradiation Estimation Algorithm Development and Field Verification,” in Proc. IEEE ICASI 2018, 2018, pp. 166–167.

P.-H. Kuo, G.-H. Liu, Y.-F. Ho, and T.-H. S. Li*, “PSO and neural network based intelligent posture calibration method for robot arm,” in Proc. 2016 IEEE SMC, 2016, pp. 3095–3100.

L.-F. Wu, Y.-T. Ye, Y.-F. Ho, P.-H. Kuo, and T.-H. S. Li*, “Design and implementation of teen-sized humanoid robot David junior,” in Proc. 2016 Int. Conf. on Advanced Robotics and Intelligent Systems, 2016, pp. 1–6.

Y.-F. Ho, P.-H. Kuo, K.-Y. Chong and T.-H. S. Li*, “Control strategy design for throw-in challenge in a humanoid robot soccer game,” in Proc. 2015 International Conference on Education and Entertainment Robotics (ICEER), 2015, pp. 101–112.

P.-H. Kuo, Y.-F. Ho, T.-K. Wang, T.-H. S. Li*, “Design and implementation of double passing strategy for humanoid robot soccer game,” in Proc. 2015 International Conference on Education and Entertainment Robotics (ICEER), 2015, pp. 357–371.

C.-Y. Lin, K.-F. Lee, H.-C. Wang, P.-H. Kuo, Y.-F. Ho and T.-H. S. Li*, “Design and implementation of 3-dof dynamic balancing waist and its fuzzy control for adult-sized humanoid robot,” in Proc. SICE Annual Conference 2014, 2014, pp. 2133–2138.

P.-H. Kuo, Y.-F. Ho, C.-C. Sun and T.-H. S. Li*, “Obstacle avoidance and dribbling strategy for humanoid soccer robots,” in Proc. FIRA 2014, 2014, pp. 265–276.

P.-H. Kuo, Y.-F. Ho, K.-F. Lee, L.-H. Tai and T.-H. S. Li*, “Development of humanoid robot simulator for gait learning by using particle swarm optimization,” in Proc. 2013 IEEE SMC, 2013, pp. 2683–2688.

Y.-F. Ho, L.-H. Tai, P.-H. Kuo, K.-F. Lee and T.-H. S. Li*, “Development of simulator for humanoid robot gait pattern generation by using CPG and ABC algorithm,” in Proc. 2013 CACS Int. Automatic Control Conference, 2013.

Y.-F. Ho, P.-H. Kuo, P.-C. Huang, and T.-H. S. Li*, “Design and Implementation of a series of small-sized humanoid robots for FIRA and RoboCup,” in Proc. 2013 Int. Conf. on Advanced Robotics and Intelligent Systems, pp. 92-97, 2013.

P.-H. Kuo, Y.-F. Ho, H.-Y. Hsiao, L.-H. Tai, T.-C. Yu and T.-H. S. Li*, “Vision and control schemes of weight lifting competition for adult-sized humanoid robot,” in Proc. 2012 CACS Int. Automatic Control Conference, 2012.

P.-H. Kuo and T.-H. S. Li*, “Development of simulator for AndroSot in FIRA,” in Proc. FIRA 2011, CCIS 212, 2011, pp. 233–240.

P.-H. Kuo and T.-H. S. Li*, “Development of simulator for kid-sized humanoid soccer in RoboCup,” in Proc. System Science and Engineering (ICSSE), 2011 International Conference, 2011, pp. 155–160.