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Computation offloading optimization for UAV-assisted mobile edge computing: a deep deterministic policy gradient approach

Wireless networks, 2021-05, Vol.27 (4), p.2991-3006

2021

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Research on Coordinated Development of a Railway Freight Collection and Distribution System Based on an “Entropy-TOPSIS Coupling Development Degree Model” Integrated with Machine Learning

Journal of advanced transportation, 2020, Vol.2020 (2020), p.1-14

2020

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A Pedestrian Detection Method Based on Genetic Algorithm for Optimize XGBoost Training Parameters

IEEE access, 2019, Vol.7, p.118310-118321

2019

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Learning Sparse Representation With Variational Auto-Encoder for Anomaly Detection

IEEE access, 2018-01, Vol.6, p.33353-33361

2018

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Hybrid Architecture Based on CNN and Transformer for Strip Steel Surface Defect Classification

Electronics (Basel), 2022-04, Vol.11 (8), p.1200

2022

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Accelerating Federated Learning for IoT in Big Data Analytics With Pruning, Quantization and Selective Updating

IEEE access, 2021, Vol.9, p.38457-38466

2021

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Generative Adversarial Networks: A Literature Review

KSII Transactions on Internet and Information Systems, 2020, 14(12), , pp.4625-4647

2020

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A Greedy Deep Learning Method for Medical Disease Analysis

IEEE access, 2018-01, Vol.6, p.20021-20030

2018

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Coronary Arteries Segmentation Based on 3D FCN With Attention Gate and Level Set Function

IEEE access, 2019, Vol.7, p.42826-42835

2019

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MDFC-ResNet: An Agricultural IoT System to Accurately Recognize Crop Diseases

IEEE access, 2020, Vol.8, p.115287-115298

2020

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An Effective Machine Learning Scheme to Analyze and Predict the Concentration of Persistent Pollutants in the Great Lakes

IEEE access, 2021, Vol.9, p.52252-52265

2021

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Single Image Dehazing via NIN-DehazeNet

IEEE access, 2019, Vol.7, p.181348-181356

2019

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Human Action Monitoring for Healthcare Based on Deep Learning

IEEE access, 2018-01, Vol.6, p.52277-52285

2018

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A Consensus-Based Diffusion Levenberg-Marquardt Method for Collaborative Localization With Extension to Distributed Optimization

IEEE access, 2020, Vol.8, p.215649-215660

2020

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The Sequential Fusion Estimation Algorithms Based on Gauss-Newton Method Over Multi-Agent Networked Systems

IEEE access, 2020, Vol.8, p.114315-114329

2020

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Oriented Feature Selection SVM Applied to Cancer Prediction in Precision Medicine

IEEE access, 2018-01, Vol.6, p.48510-48521

2018

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Learning Identity-Aware Face Features Across Poses Based on Deep Siamese Networks

IEEE access, 2019, Vol.7, p.105789-105799

2019

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A Manifold Learning Two-Tier Beamforming Scheme Optimizes Resource Management in Massive MIMO Networks

IEEE access, 2020, Vol.8, p.22976-22987

2020

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An Effective Dictionary Learning Algorithm Based on fMRI Data for Mobile Medical Disease Analysis

IEEE access, 2019, Vol.7, p.3958-3966

2019

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VFL: A Verifiable Federated Learning With Privacy-Preserving for Big Data in Industrial IoT

IEEE transactions on industrial informatics, 2022-05, Vol.18 (5), p.3316-3326

2022

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Semi-Skipping Layered Gated Unit and Efficient Network: Hybrid Deep Feature Selection Method for Edge Computing in EEG-Based Emotion Classification

IEEE access, 2021, Vol.9, p.13378-13389

2021

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A Kernel-Based Compressive Sensing Approach for Mobile Data Gathering in Wireless Sensor Network Systems

IEEE transactions on systems, man, and cybernetics. Systems, 2018-12, Vol.48 (12), p.2315-2327

2018

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Deep Matrix Factorization With Implicit Feedback Embedding for Recommendation System

IEEE transactions on industrial informatics, 2019-08, Vol.15 (8), p.4591-4601

2019

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Infrared and Visible Image Fusion Techniques Based on Deep Learning: A Review

Electronics (Basel), 2020-12, Vol.9 (12), p.2162

2020

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An effective information detection method for social big data

Multimedia tools and applications, 2018-05, Vol.77 (9), p.11277-11305

2018

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Computation offloading optimization for UAV-assisted mobile edge computing: a deep deterministic policy gradient approach

Research on Coordinated Development of a Railway Freight Collection and Distribution System Based on an “Entropy-TOPSIS Coupling Development Degree Model” Integrated with Machine Learning

A Pedestrian Detection Method Based on Genetic Algorithm for Optimize XGBoost Training Parameters

Learning Sparse Representation With Variational Auto-Encoder for Anomaly Detection

Hybrid Architecture Based on CNN and Transformer for Strip Steel Surface Defect Classification

Accelerating Federated Learning for IoT in Big Data Analytics With Pruning, Quantization and Selective Updating

Generative Adversarial Networks: A Literature Review

A Greedy Deep Learning Method for Medical Disease Analysis

Coronary Arteries Segmentation Based on 3D FCN With Attention Gate and Level Set Function

MDFC-ResNet: An Agricultural IoT System to Accurately Recognize Crop Diseases

An Effective Machine Learning Scheme to Analyze and Predict the Concentration of Persistent Pollutants in the Great Lakes

Single Image Dehazing via NIN-DehazeNet

Human Action Monitoring for Healthcare Based on Deep Learning

A Consensus-Based Diffusion Levenberg-Marquardt Method for Collaborative Localization With Extension to Distributed Optimization

The Sequential Fusion Estimation Algorithms Based on Gauss-Newton Method Over Multi-Agent Networked Systems

Oriented Feature Selection SVM Applied to Cancer Prediction in Precision Medicine

Learning Identity-Aware Face Features Across Poses Based on Deep Siamese Networks

A Manifold Learning Two-Tier Beamforming Scheme Optimizes Resource Management in Massive MIMO Networks

An Effective Dictionary Learning Algorithm Based on fMRI Data for Mobile Medical Disease Analysis

VFL: A Verifiable Federated Learning With Privacy-Preserving for Big Data in Industrial IoT

Semi-Skipping Layered Gated Unit and Efficient Network: Hybrid Deep Feature Selection Method for Edge Computing in EEG-Based Emotion Classification

A Kernel-Based Compressive Sensing Approach for Mobile Data Gathering in Wireless Sensor Network Systems

Deep Matrix Factorization With Implicit Feedback Embedding for Recommendation System

Infrared and Visible Image Fusion Techniques Based on Deep Learning: A Review

An effective information detection method for social big data

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