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WUSL–SOD: Joint weakly supervised, unsupervised and supervised learning for salient object detection

Neural computing & applications, 2023-07, Vol.35 (21), p.15837-15856

2023

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Flipped Classrooms and Student Learning: Not Just Surface Gains

Advances in physiology education, 2016-03, Vol.40 (1), p.47-55

2016

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Visualizing the Complex Process for Deep Learning with an Authentic Programming Project

Educational Technology ＆ Society, 2017-10, Vol.20 (4), p.275-287

2017

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Global relationship memory network for retinal capillary segmentation on optical coherence tomography angiography images

Applied intelligence (Dordrecht, Netherlands), 2023-12, Vol.53 (24), p.30027-30040

2023

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MSLWENet: A Novel Deep Learning Network for Lake Water Body Extraction of Google Remote Sensing Images

Remote sensing (Basel, Switzerland), 2020-12, Vol.12 (24), p.4140

2020

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Improving the enzymatic activity and stability of N-carbamoyl hydrolase using deep learning approach

Microbial cell factories, 2024-06, Vol.23 (1), p.164-12, Article 164

2024

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A Method of Lung Organ Segmentation in CT Images Based on Multiple Residual Structures and an Enhanced Spatial Attention Mechanism

Mathematics (Basel), 2023-10, Vol.11 (21), p.4483

2023

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An Integrated Self-Diagnosis System for an Autonomous Vehicle Based on an IoT Gateway and Deep Learning

Applied sciences, 2018-07, Vol.8 (7), p.1164

2018

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Prototype Contrastive Learning for Building Extraction From Remote Sensing Images

IEEE geoscience and remote sensing letters, 2023, Vol.20, p.1-5

2023

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Detection of visual faults in photovoltaic modules using a stacking ensemble approach

Heliyon, 2024-03, Vol.10 (6), p.e27894-e27894, Article e27894

2024

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Conceptual Tutoring Software for Promoting Deep Learning: A Case Study

Educational technology & society, 2015-04, Vol.18 (2), p.179-194

2015

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A Novel Multi-Module Approach to Predict Crime Based on Multivariate Spatio-Temporal Data Using Attention and Sequential Fusion Model

IEEE access, 2022, Vol.10, p.48009-48030

2022

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Plant Leaf Disease Classification using Transfer Learning using EfficientNetb5

2023 International Conference on Next Generation Electronics (NEleX), 2023, p.1-6

2023

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Transformative learning in first year Indigenous Australian studies : posing problems, asking questions and achieving change. A practice report

The international journal of the first year in higher education, 2010-07, Vol.1 (1), p.91-99

2010

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Multi Module Integration Method of Students’ Habitual Learning Mode Based on Deep Learning

e-Learning, e-Education, and Online Training, p.254-270

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Design and Application of N-gram Strategy based English Grammar Correction System

2024 Second International Conference on Data Science and Information System (ICDSIS), 2024, p.1-4

Wang, Ning

2024

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Automatic detection of photovoltaic module defects in infrared images with isolated and develop-model transfer deep learning

Solar energy, 2020-03, Vol.198, p.175-186

2020

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A Deeply Supervised Attention Metric-Based Network and an Open Aerial Image Dataset for Remote Sensing Change Detection

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-16

2022

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Global and Local Contrastive Self-Supervised Learning for Semantic Segmentation of HR Remote Sensing Images

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-14

2022

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Feature-Level Attention-Guided Multitask CNN for Fault Diagnosis and Working Conditions Identification of Rolling Bearing

IEEE transaction on neural networks and learning systems, 2022-09, Vol.33 (9), p.4757-4769

2022

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Automatic classification of defective photovoltaic module cells in electroluminescence images

Solar energy, 2019-06, Vol.185, p.455-468

2019

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End-To-End Multi-Task Learning With Attention

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.1871-1880

2019

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Learning a Deep Multi-Scale Feature Ensemble and an Edge-Attention Guidance for Image Fusion

IEEE transactions on circuits and systems for video technology, 2022-01, Vol.32 (1), p.105-119

2022

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A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction

IEEE transactions on intelligent transportation systems, 2021-11, Vol.22 (11), p.6910-6920

2021

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Dense Nested Attention Network for Infrared Small Target Detection

IEEE transactions on image processing, 2023, Vol.32, p.1745-1758

2023

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WUSL–SOD: Joint weakly supervised, unsupervised and supervised learning for salient object detection

Flipped Classrooms and Student Learning: Not Just Surface Gains

Visualizing the Complex Process for Deep Learning with an Authentic Programming Project

Global relationship memory network for retinal capillary segmentation on optical coherence tomography angiography images

MSLWENet: A Novel Deep Learning Network for Lake Water Body Extraction of Google Remote Sensing Images

Improving the enzymatic activity and stability of N-carbamoyl hydrolase using deep learning approach

A Method of Lung Organ Segmentation in CT Images Based on Multiple Residual Structures and an Enhanced Spatial Attention Mechanism

An Integrated Self-Diagnosis System for an Autonomous Vehicle Based on an IoT Gateway and Deep Learning

Prototype Contrastive Learning for Building Extraction From Remote Sensing Images

Detection of visual faults in photovoltaic modules using a stacking ensemble approach

Conceptual Tutoring Software for Promoting Deep Learning: A Case Study

A Novel Multi-Module Approach to Predict Crime Based on Multivariate Spatio-Temporal Data Using Attention and Sequential Fusion Model

Plant Leaf Disease Classification using Transfer Learning using EfficientNetb5

Transformative learning in first year Indigenous Australian studies : posing problems, asking questions and achieving change. A practice report

Multi Module Integration Method of Students’ Habitual Learning Mode Based on Deep Learning

Design and Application of N-gram Strategy based English Grammar Correction System

Automatic detection of photovoltaic module defects in infrared images with isolated and develop-model transfer deep learning

A Deeply Supervised Attention Metric-Based Network and an Open Aerial Image Dataset for Remote Sensing Change Detection

Global and Local Contrastive Self-Supervised Learning for Semantic Segmentation of HR Remote Sensing Images

Feature-Level Attention-Guided Multitask CNN for Fault Diagnosis and Working Conditions Identification of Rolling Bearing

Automatic classification of defective photovoltaic module cells in electroluminescence images

End-To-End Multi-Task Learning With Attention

Learning a Deep Multi-Scale Feature Ensemble and an Edge-Attention Guidance for Image Fusion

A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction

Dense Nested Attention Network for Infrared Small Target Detection

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