Hao Quan
Orcid: 0000-0001-8723-7796
According to our database1,
Hao Quan
authored at least 27 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
DBCG-Net: Dual Branch Calibration Guided Deep Network for UAV Images Semantic Segmentation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
2023
Comput. Biol. Medicine, October, 2023
Learning how to detect: A deep reinforcement learning method for whole-slide melanoma histopathology images.
Comput. Medical Imaging Graph., September, 2023
A Distributed Dual-Optimization Framework for Ancillary-Service Coordination Between MV Microgrids and LV Distribution Networks.
IEEE Syst. J., March, 2023
CoRR, 2023
Hierarchical Distributed Coordinated Control of DC Microgrid Cluster with Hybrid Energy Storages.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023
2022
Softw. Impacts, 2022
Global Contrast Masked Autoencoders Are Powerful Pathological Representation Learners.
CoRR, 2022
A Deep Reinforcement Learning Framework for Rapid Diagnosis of Whole Slide Pathological Images.
CoRR, 2022
2021
DenseCapsNet: Detection of COVID-19 from X-ray images using a capsule neural network.
Comput. Biol. Medicine, 2021
2020
Improving Probabilistic Load Forecasting Using Quantile Regression NN With Skip Connections.
IEEE Trans. Smart Grid, 2020
A Survey of Computational Intelligence Techniques for Wind Power Uncertainty Quantification in Smart Grids.
IEEE Trans. Neural Networks Learn. Syst., 2020
Evolving fuzzy-neural paradigm applied to the recognition and removal of artefactual beats in continuous seismocardiogram recordings.
Evol. Syst., 2020
Complex., 2020
2019
IEEE Trans. Smart Grid, 2019
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2019
2018
Myo-To-Speech - Evolving Fuzzy-Neural Network Prediction of Speech Utterances from Myoelectric Signals.
Proceedings of the Engineering Applications of Neural Networks, 2018
2017
Biomorphic modeling of phoneme identification and classification based on an evolving fuzzy-neural network: From hardcomputing to softcomputing.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Applying the EFuNN Evolving Paradigm to the Recognition of Artefactual Beats in Continuous Seismocardiogram Recordings.
Proceedings of the Engineering Applications of Neural Networks, 2017
2016
Bio-inspired Audio-Visual Speech Recognition Towards the Zero Instruction Set Computing.
Proceedings of the Engineering Applications of Neural Networks, 2016
2015
Incorporating Wind Power Forecast Uncertainties Into Stochastic Unit Commitment Using Neural Network-Based Prediction Intervals.
IEEE Trans. Neural Networks Learn. Syst., 2015
2014
Short-Term Load and Wind Power Forecasting Using Neural Network-Based Prediction Intervals.
IEEE Trans. Neural Networks Learn. Syst., 2014
Particle swarm optimization for construction of neural network-based prediction intervals.
Neurocomputing, 2014
2013
Construction of neural network-based prediction intervals for short-term electrical load forecasting.
Proceedings of the IEEE Symposium on Computational Intelligence Applications in Smart Grid, 2013
2012
Construction of neural network-based prediction intervals using particle swarm optimization.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012