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Iterative PET Image Reconstruction Using Convolutional Neural Network Representation

IEEE transactions on medical imaging, 2019-03, Vol.38 (3), p.675-685

2019

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DCG++: A data-driven metric for geometric pattern recognition

PloS one, 2019-06, Vol.14 (6), p.e0217838-e0217838

2019

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StackTHPred: Identifying Tumor-Homing Peptides through GBDT-Based Feature Selection with Stacking Ensemble Architecture

International journal of molecular sciences, 2023-06, Vol.24 (12), p.10348

2023

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Influence of Laser Process Parameters on the Forming Quality and Discharge Performance of 3D-Printed Porous Anodes for Al–Air Batteries

Materials, 2024-06, Vol.17 (12), p.2837

2024

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Preparation of Dual Z-scheme Bi2MoO6/ZnSnO3/ZnO Heterostructure Photocatalyst for Efficient Visible Light Degradation of Organic Pollutants

Journal of inorganic and organometallic polymers and materials, 2022-05, Vol.32 (5), p.1840-1852

2022

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Design and Analysis of K-Band Single-Pole Double-Throw Switches Based on GaAs Technology

Crystals (Basel), 2024-07, Vol.14 (7), p.657

2024

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Efficient degradation of ivermectin by newly isolated Aeromonas taiwanensis ZJB-18,044

Biodegradation (Dordrecht), 2020-12, Vol.31 (4-6), p.275-288

2020

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A Multi-Objective Genetic Algorithm-Based Predictive Model and Parameter Optimization for Forming Quality of SLM Aluminum Anodes

Crystals (Basel), 2024-07, Vol.14 (7), p.608

2024

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Coupling Geometry on Binary Bipartite Networks: Hypotheses Testing on Pattern Geometry and Nestedness

Frontiers in applied mathematics and statistics, 2018-09, Vol.4

2018

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Satisfaction With Community Health Education Among Residents in China: Results From a Structural Equation Model

Frontiers in public health, 2022-07, Vol.10, p.905952-905952

2022

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Social network community structure and the contact-mediated sharing of commensal E. coli among captive rhesus macaques ( Macaca mulatta )

PeerJ (San Francisco, CA), 2018-01, Vol.6, p.e4271-e4271, Article e4271

2018

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ABPCaps: A Novel Capsule Network-Based Method for the Prediction of Antibacterial Peptides

Applied sciences, 2023-06, Vol.13 (12), p.6965

2023

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PET Image Denoising Using a Deep Neural Network Through Fine Tuning

IEEE transactions on radiation and plasma medical sciences, 2019-03, Vol.3 (2), p.153-161

2019

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CdS QDs modified three-dimensional ordered hollow spherical ZnTiO3-ZnO-TiO2 composite with improved photocatalytic performance

Journal of alloys and compounds, 2022-02, Vol.895, p.162638, Article 162638

2022

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Minimalist preparation and photocatalysis properties of a spinyball-like indium-based composite suitable for different light conditions

Journal of alloys and compounds, 2022-07, Vol.909, p.164701, Article 164701

2022

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D eepAFP : An effective computational framework for identifying antifungal peptides based on deep learning

Protein science, 2023-10, Vol.32 (10)

2023

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The improved photocatalytic performance of the gully-like CdS-APS@TiO2-ZrO2 composite by constructing Z-scheme heterojunction

Colloids and surfaces. A, Physicochemical and engineering aspects, 2022-06, Vol.643, p.128794, Article 128794

2022

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Evaluation of Clinical Management of COVID-19 Patients in China in the Year 2020

Current topics in nutraceuticals research, 2023-11, Vol.21 (4), p.8-447

2023

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Identifying Antitubercular Peptides via Deep Forest Architecture with Effective Feature Representation

Analytical chemistry (Washington), 2024-01, Vol.96 (4), p.1538-1546

2024

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CapsEnhancer: An Effective Computational Framework for Identifying Enhancers Based on Chaos Game Representation and Capsule Network

Journal of chemical information and modeling, 2024-07, Vol.64 (14), p.5725-5736

2024

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Predicting Anti-inflammatory Peptides by Ensemble Machine Learning and Deep Learning

Journal of chemical information and modeling, 2023-12, Vol.63 (24), p.7886-7898

2023

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DeepAFP: An effective computational framework for identifying antifungal peptides based on deep learning

Protein science, 2023-10, Vol.32 (10), p.e4758-e4758

2023

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A two-stage computational framework for identifying antiviral peptides and their functional types based on contrastive learning and multi-feature fusion strategy

Briefings in bioinformatics, 2024-03, Vol.25 (3)

2024

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A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health records

European journal of radiology, 2021-06, Vol.139, p.109583-109583, Article 109583

2021

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316 Neurosurgical Federated Learning: A Multi-Center Collaboration to Detect Intracranial Hemorrhage Without Directly Sharing Data

Neurosurgery, 2023-04, Vol.69 (Supplement_1), p.44-45

2023

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Iterative PET Image Reconstruction Using Convolutional Neural Network Representation

DCG++: A data-driven metric for geometric pattern recognition

StackTHPred: Identifying Tumor-Homing Peptides through GBDT-Based Feature Selection with Stacking Ensemble Architecture

Influence of Laser Process Parameters on the Forming Quality and Discharge Performance of 3D-Printed Porous Anodes for Al–Air Batteries

Preparation of Dual Z-scheme Bi2MoO6/ZnSnO3/ZnO Heterostructure Photocatalyst for Efficient Visible Light Degradation of Organic Pollutants

Design and Analysis of K-Band Single-Pole Double-Throw Switches Based on GaAs Technology

Efficient degradation of ivermectin by newly isolated Aeromonas taiwanensis ZJB-18,044

A Multi-Objective Genetic Algorithm-Based Predictive Model and Parameter Optimization for Forming Quality of SLM Aluminum Anodes

Coupling Geometry on Binary Bipartite Networks: Hypotheses Testing on Pattern Geometry and Nestedness

Satisfaction With Community Health Education Among Residents in China: Results From a Structural Equation Model

Social network community structure and the contact-mediated sharing of commensal E. coli among captive rhesus macaques ( Macaca mulatta )

ABPCaps: A Novel Capsule Network-Based Method for the Prediction of Antibacterial Peptides

PET Image Denoising Using a Deep Neural Network Through Fine Tuning

CdS QDs modified three-dimensional ordered hollow spherical ZnTiO3-ZnO-TiO2 composite with improved photocatalytic performance

Minimalist preparation and photocatalysis properties of a spinyball-like indium-based composite suitable for different light conditions

D eepAFP : An effective computational framework for identifying antifungal peptides based on deep learning

The improved photocatalytic performance of the gully-like CdS-APS@TiO2-ZrO2 composite by constructing Z-scheme heterojunction

Evaluation of Clinical Management of COVID-19 Patients in China in the Year 2020

Identifying Antitubercular Peptides via Deep Forest Architecture with Effective Feature Representation

CapsEnhancer: An Effective Computational Framework for Identifying Enhancers Based on Chaos Game Representation and Capsule Network

Predicting Anti-inflammatory Peptides by Ensemble Machine Learning and Deep Learning

DeepAFP: An effective computational framework for identifying antifungal peptides based on deep learning

A two-stage computational framework for identifying antiviral peptides and their functional types based on contrastive learning and multi-feature fusion strategy

A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health records

316 Neurosurgical Federated Learning: A Multi-Center Collaboration to Detect Intracranial Hemorrhage Without Directly Sharing Data

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