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Deep learning‐based SCUC decision‐making: An intelligent data‐driven approach with self‐learning capabilities

IET generation, transmission & distribution, 2022-02, Vol.16 (4), p.629-640

2022

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Weakly supervised machine learning

CAAI Transactions on Intelligence Technology, 2023-09, Vol.8 (3), p.549-580

2023

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A deep‐learning‐ and reinforcement‐learning‐based system for encrypted network malicious traffic detection

Electronics letters, 2021-04, Vol.57 (9), p.363-365

2021

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Analysis of community question‐answering issues via machine learning and deep learning: State‐of‐the‐art review

CAAI Transactions on Intelligence Technology, 2023-03, Vol.8 (1), p.95-117

2023

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Data-driven terminal iterative learning control with high-order learning law for a class of non-linear discrete-time multiple-input–multiple output systems

IET control theory & applications, 2015-04, Vol.9 (7), p.1075-1082

2015

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New classes inference, few‐shot learning and continual learning for radar signal recognition

IET radar, sonar & navigation, 2022-10, Vol.16 (10), p.1641-1655

2022

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Transfer learning method for specific emitter identification based on pseudo‐labelling and meta‐learning

IET radar, sonar & navigation, 2024-09, Vol.18 (9), p.1460-1473

2024

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A Deep Learning‐to‐learning Based Control system for renewable microgrids

IET renewable power generation, 2023-04

2023

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LSTM network: a deep learning approach for short-term traffic forecast

IET intelligent transport systems, 2017-03, Vol.11 (2), p.68-75

2017

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Multi‐objective electrical demand response policy generation considering customer response behaviour learning: An enhanced inverse reinforcement learning approach: Multi‐objective demand response policy considering response behaviour learning

IET generation, transmission & distribution, 2021-12, Vol.15 (23), p.3284-3301

2021

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Digital twin‐based online resilience scheduling for microgrids: An approach combining imitative learning and deep reinforcement learning

IET renewable power generation, 2024-01, Vol.18 (1), p.1-13

2024

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SDN‐based intrusion detection system for IoT using deep learning classifier (IDSIoT‐SDL)

CAAI Transactions on Intelligence Technology, 2021-09, Vol.6 (3), p.281-290

2021

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Cognitive radar antenna selection via deep learning

IET radar, sonar & navigation, 2019-06, Vol.13 (6), p.871-880

2019

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Medical image segmentation using deep learning: A survey

IET image processing, 2022-04, Vol.16 (5), p.1243-1267

2022

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Detection and classification of micro-grid faults based on HHT and machine learning techniques

IET generation, transmission & distribution, 2018-01, Vol.12 (2), p.388-397

2018

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Robust point-to-point iterative learning control with trial-varying initial conditions

IET control theory & applications, 2020-12, Vol.14 (19), p.3344-3350

2020

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Target‐driven visual navigation in indoor scenes using reinforcement learning and imitation learning

CAAI Transactions on Intelligence Technology, 2022-06, Vol.7 (2), p.167-176

2022

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Automatic metrics learning with low-noise embedding for zero-shot learning

Electronics letters, 2019-08, Vol.55 (16), p.887-888

2019

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Enhancing reinforcement learning‐based ramp metering performance at freeway uncertain bottlenecks using curriculum learning

IET intelligent transport systems, 2024-02

2024

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Semi‐supervised learning for ABUS tumor detection using deep learning method

IET image processing, 2023-05, Vol.17 (7), p.2113-2126

2023

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Combining weather condition data to predict traffic flow: a GRU-based deep learning approach

IET intelligent transport systems, 2018-09, Vol.12 (7), p.578-585

2018

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Traffic light control using deep policy-gradient and value-function-based reinforcement learning

IET intelligent transport systems, 2017-09, Vol.11 (7), p.417-423

2017

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Federated learning over wireless backhaul for distributed micro‐Doppler radars: Deep learning aided gradient estimation

IET radar, sonar & navigation, 2022-05, Vol.16 (5), p.885-895

2022

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Hierarchical reinforcement learning for self-driving decision-making without reliance on labelled driving data

IET intelligent transport systems, 2020-05, Vol.14 (5), p.297-305

2020

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Knowledge‐based deep learning system for classifying Alzheimer's disease for multi‐task learning

CAAI Transactions on Intelligence Technology, 2024-08, Vol.9 (4), p.805-820

2024

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Deep learning‐based SCUC decision‐making: An intelligent data‐driven approach with self‐learning capabilities

Weakly supervised machine learning

A deep‐learning‐ and reinforcement‐learning‐based system for encrypted network malicious traffic detection

Analysis of community question‐answering issues via machine learning and deep learning: State‐of‐the‐art review

Data-driven terminal iterative learning control with high-order learning law for a class of non-linear discrete-time multiple-input–multiple output systems

New classes inference, few‐shot learning and continual learning for radar signal recognition

Transfer learning method for specific emitter identification based on pseudo‐labelling and meta‐learning

A Deep Learning‐to‐learning Based Control system for renewable microgrids

LSTM network: a deep learning approach for short-term traffic forecast

Multi‐objective electrical demand response policy generation considering customer response behaviour learning: An enhanced inverse reinforcement learning approach: Multi‐objective demand response policy considering response behaviour learning

Digital twin‐based online resilience scheduling for microgrids: An approach combining imitative learning and deep reinforcement learning

SDN‐based intrusion detection system for IoT using deep learning classifier (IDSIoT‐SDL)

Cognitive radar antenna selection via deep learning

Medical image segmentation using deep learning: A survey

Detection and classification of micro-grid faults based on HHT and machine learning techniques

Robust point-to-point iterative learning control with trial-varying initial conditions

Target‐driven visual navigation in indoor scenes using reinforcement learning and imitation learning

Automatic metrics learning with low-noise embedding for zero-shot learning

Enhancing reinforcement learning‐based ramp metering performance at freeway uncertain bottlenecks using curriculum learning

Semi‐supervised learning for ABUS tumor detection using deep learning method

Combining weather condition data to predict traffic flow: a GRU-based deep learning approach

Traffic light control using deep policy-gradient and value-function-based reinforcement learning

Federated learning over wireless backhaul for distributed micro‐Doppler radars: Deep learning aided gradient estimation

Hierarchical reinforcement learning for self-driving decision-making without reliance on labelled driving data

Knowledge‐based deep learning system for classifying Alzheimer's disease for multi‐task learning

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