Long Wang
Orcid: 0000-0001-6695-6054Affiliations:
- University of Science and Technology, Beijing
- City University of Hong Kong
- University College London, UK
According to our database1,
Long Wang
authored at least 50 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Vision Intelligence Assisted Lung Function Estimation Based on Transformer Encoder-Decoder Network With Invertible Modeling.
IEEE Trans. Artif. Intell., July, 2024
UAV-Taken Wind Turbine Image Dehazing With a Double-Patch Lightweight Neural Network.
IEEE Internet Things J., July, 2024
Early neurological deterioration detection with a transformer convolutional auto-encoder model.
Appl. Soft Comput., January, 2024
Eng. Appl. Artif. Intell., 2024
2023
Fully automatic identification of post-treatment infarct lesions after endovascular therapy based on non-contrast computed tomography.
Neural Comput. Appl., October, 2023
Frontiers Neurorobotics, June, 2023
BERT-based chinese text classification for emergency management with a novel loss function.
Appl. Intell., May, 2023
IEICE Trans. Inf. Syst., March, 2023
Short-Term Wind Speed and Power Forecasting for Smart City Power Grid With a Hybrid Machine Learning Framework.
IEEE Internet Things J., 2023
2022
A Continual Learning-Based Framework for Developing a Single Wind Turbine Cybertwin Adaptively Serving Multiple Modeling Tasks.
IEEE Trans. Ind. Informatics, 2022
Machine vision-assisted identification of the lung adenocarcinoma category and high-risk tumor area based on CT images.
Patterns, 2022
Denoising temporal convolutional recurrent autoencoders for time series classification.
Inf. Sci., 2022
HRC-mCNNs: A Hybrid Regression and Classification Multibranch CNNs for Automatic Meter Reading With Smart Shell.
IEEE Internet Things J., 2022
2021
Demand Response for Industrial Micro-Grid Considering Photovoltaic Power Uncertainty and Battery Operational Cost.
IEEE Trans. Smart Grid, 2021
IEEE Trans. Instrum. Meas., 2021
Soil-Moisture-Sensor-Based Automated Soil Water Content Cycle Classification With a Hybrid Symbolic Aggregate Approximation Algorithm.
IEEE Internet Things J., 2021
IEICE Trans. Inf. Syst., 2021
An edge computing-based predictive evaluation scheme toward geological drilling data using long short-term memory network.
Trans. Emerg. Telecommun. Technol., 2021
Generative Wind Power Curve Modeling Via Machine Vision: A Self-learning Deep Convolutional Network Based Method.
CoRR, 2021
BERT-based Chinese Text Classification for Emergency Domain with a Novel Loss Function.
CoRR, 2021
Proceedings of the 2021 World Automation Congress, 2021
Evolutionary computing assisted deep reinforcement learning for multi-objective integrated energy system management.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021
2020
IEEE Trans. Sustain. Comput., 2020
A Parallel Recommender System Using a Collaborative Filtering Algorithm with Correntropy for Social Networks.
IEEE Trans. Netw. Sci. Eng., 2020
The automatic segmentation of residential solar panels based on satellite images: A cross learning driven U-Net method.
Appl. Soft Comput., 2020
Parameter Estimation of Lorenz Chaotic System Based on a Hybrid Jaya-Powell Algorithm.
IEEE Access, 2020
A Deep Learning Approach for Multi-Depth Soil Water Content Prediction in Summer Maize Growth Period.
IEEE Access, 2020
IEEE Access, 2020
Dependency Parsing of Financial News to Improve Sentiment Analysis for Predicting Market Prices.
Proceedings of the International Conference on Technologies and Applications of Artificial Intelligence, 2020
2019
Data-Driven Short-Term Solar Irradiance Forecasting Based on Information of Neighboring Sites.
IEEE Trans. Ind. Electron., 2019
Data-Driven Calibration of Soil Moisture Sensor Considering Impacts of Temperature: A Case Study on FDR Sensors.
Sensors, 2019
Automatic Detection of Rail Surface Cracks with a Superpixel-Based Data-Driven Framework.
J. Comput. Civ. Eng., 2019
A Novel Human Activity Recognition Scheme for Smart Health Using Multilayer Extreme Learning Machine.
IEEE Internet Things J., 2019
On the improvement of positioning accuracy in WiFi-based wireless network using correntropy-based kernel learning algorithms.
Trans. Emerg. Telecommun. Technol., 2019
Entropy, 2019
Combining Deep Neural Networks and Classical Time Series Regression Models for Forecasting Patient Flows in Hong Kong.
IEEE Access, 2019
2018
IEEE Trans. Smart Grid, 2018
Short-Term Wind Speed Forecasting via Stacked Extreme Learning Machine With Generalized Correntropy.
IEEE Trans. Ind. Informatics, 2018
Resource Allocation in the Cognitive Radio Network-Aided Internet of Things for the Cyber-Physical-Social System: An Efficient Jaya Algorithm.
Sensors, 2018
Comput. Electron. Agric., 2018
A GPU-accelerated parallel Jaya algorithm for efficiently estimating Li-ion battery model parameters.
Appl. Soft Comput., 2018
Robustness Evaluation of Extended and Unscented Kalman Filter for Battery State of Charge Estimation.
IEEE Access, 2018
Proceedings of the 30th Conference on Computational Linguistics and Speech Processing, 2018
An Efficient Jaya Algorithm for Resource Allocation in the Cognitive-Radio-Networks-Aided Internet of Things.
Proceedings of the IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2018
2017
IEEE Trans. Ind. Informatics, 2017
IEEE Trans. Ind. Electron., 2017
Modified genetic algorithm-based feature selection combined with pre-trained deep neural network for demand forecasting in outpatient department.
Expert Syst. Appl., 2017
2015
IEEE Trans. Ind. Electron., 2015