Jia-Hao Syu

Orcid: 0000-0002-3875-9317

According to our database1, Jia-Hao Syu authored at least 37 papers between 2017 and 2025.

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Bibliography

2025
HTTPS: Heterogeneous Transfer learning for spliT Prediction System evaluated on healthcare data.
Inf. Fusion, 2025

2024
Heterogeneous Federated Learning for Non-IID Smartwatch Data Classification.
IEEE Internet Things J., September, 2024

AI-Based Electricity Grid Management for Sustainability, Reliability, and Security.
IEEE Consumer Electron. Mag., January, 2024

TripleS: A Subsidy-Supported Storage for Electricity with Self-financing Management System.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

2023
Federated Learning for improved prediction of failures in Autonomous Guided Vehicles.
J. Comput. Sci., April, 2023

Energy grid management system with anomaly detection and Q-learning decision modules.
Comput. Electr. Eng., April, 2023

Stock Selection System Through Suitability Index and Fuzzy-Based Quantitative Characteristics.
IEEE Trans. Fuzzy Syst., 2023

A Comprehensive Survey on Artificial Intelligence Empowered Edge Computing on Consumer Electronics.
IEEE Trans. Consumer Electron., 2023

Anomaly Detection Networks and Fuzzy Control Modules for Energy Grid Management with Q-Learning-Based Decision Making.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

HTPS: Heterogeneous Transferring Prediction System for Healthcare Datasets.
Proceedings of the 31st Euromicro International Conference on Parallel, 2023

Resource Consumption of Federated Learning Approach Applied on Edge IoT Devices in the AGV Environment.
Proceedings of the Computational Science - ICCS 2023, 2023

Fuzzy Electricity Management System with Anomaly Detection and Fuzzy Q-Learning.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

The Calibration of Single Beam Distance Sensors based on Machine Learning Methods.
Proceedings of the IEEE International Conference on Big Data, 2023

Effective Prediction of Energy Consumption in Automated Guided Vehicles with Recurrent and Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Effective Fuzzy System for Qualifying the Characteristics of Stocks by Random Trading.
IEEE Trans. Fuzzy Syst., 2022

Call Auction-Based Energy Management System with Adaptive Subsidy and Dynamic Operating Reserve.
Sustain. Comput. Informatics Syst., 2022

Informative index for investment based on Kelly criterion.
Enterp. Inf. Syst., 2022

Embedded draw-down constraint reward function for deep reinforcement learning.
Appl. Soft Comput., 2022

Fuzzy-Based Stock Selection System through Suitability Index and Position Sizing.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

Double-Environmental Q-Learning for Energy Management System in Smart Grid.
Proceedings of the IEEE International Conference on Big Data, 2022

An Efficient and Secured Energy Management System for Automated Guided Vehicles.
Proceedings of the IEEE International Conference on Big Data, 2022

Automated Guided Vehicles Challenges for Artificial Intelligence.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Evolutionary ORB-based model with protective closing strategies.
Knowl. Based Syst., 2021

An IoT-Based Hedge System for Solar Power Generation.
IEEE Internet Things J., 2021

Portfolio management system in equity market neutral using reinforcement learning.
Appl. Intell., 2021

Forecasting System for Solar-Power Generation.
Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2021

2020
Portfolio Management System with Reinforcement Learning.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Neural Network-based ORB Strategies for Threshold Classification on Taiwan Futures Market.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Threshold-Adjusted ORB Strategies with Genetic Algorithm and Protective Closing Strategy on Taiwan Futures Market.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

On the Design of Profitable Index Based on the Mechanism of Random Tradings.
Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020

2019
Assessing the Profitability of Timely Opening Range Breakout on Index Futures Markets.
IEEE Access, 2019

Modified ORB Strategies with Threshold Adjusting on Taiwan Futures Market.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2019

A Framework of Applying Kelly Stationary Index to Stock Trading in Taiwan Market.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Semantic Segmentation of Indoor-Scene RGB-D Images Based on Iterative Contraction and Merging.
Proceedings of the Image and Signal Processing - 8th International Conference, 2018

2017
Hierarchical Image Segmentation Based on Iterative Contraction and Merging.
IEEE Trans. Image Process., 2017

A patch-based contraction process for the improvement of image matting.
Proceedings of the 2017 International Symposium on Intelligent Signal Processing and Communication Systems, 2017

Semantic segmentation based on iterative contraction and merging.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017


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