Resource Type

Journal Article 326

Conference Videos 4

Year

2024 1

2023 64

2022 69

2021 39

2020 40

2019 25

2018 17

2017 22

2016 8

2015 10

2014 1

2013 1

2011 1

2010 1

2009 1

2008 1

2007 4

2006 2

2005 1

2002 1

open ︾

Keywords

Machine learning 50

Deep learning 36

machine learning 24

Reinforcement learning 15

deep learning 15

Artificial intelligence 14

artificial intelligence 5

Active learning 4

artificial neural network 4

Attention 3

Autonomous driving 3

Bayesian optimization 3

Big data 3

Adaptive dynamic programming 2

Additive manufacturing 2

Adversarial attack 2

Autonomous learning 2

Autonomous vehicle 2

Bayesian belief network 2

open ︾

Search scope:

排序： Display mode:

Low-Cost Federated Broad Learning for Privacy-Preserved Knowledge Sharing in the RIS-Aided Internet of

Xiaoming Yuan,Jiahui Chen,Ning Zhang,Qiang Ye,Changle Li,Chunsheng Zhu,Xuemin Sherman Shen,

Engineering doi: 10.1016/j.eng.2023.04.015

Abstract: However, it is challenging to ensure high efficiency of local data learning models while preventing privacyIn order to protect data privacy and improve data learning efficiency in knowledge sharing, we proposean asynchronous federated broad learning (FBL) framework that integrates broad learning (BL) into federatedlearning (FL).In FBL, we design a broad fully connected model (BFCM) as a local model for training client data.

Keywords： Knowledge sharing     Internet of Vehicles     Federated learning     Broad learning     Reconfigurable intelligent surfaces    

HTML PDF Collect

Rapid and long-effective removal of broad-spectrum pollutants from aqueous system by ZVI/oxidants

Sana Ullah, Xuejun Guo, Xiaoyan Luo, Xiangyuan Zhang, Siwen Leng, Na Ma, Palwasha Faiz

Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 5, doi: 10.1007/s11783-020-1268-3

Abstract: have been extensively applied to increase the reactivity of the ZVI surface toward the elimination of broad-spectrumSubsequently, the effect of three typical oxidants (H2O2, KMnO4, and NaClO) on broad-spectrum contaminants

Keywords： Zero-Valent Iron (ZVI)     Oxidants     Heavy Metals (HMs)     Metalloids     Nitrate     Phosphate    

HTML PDF Collect

Salmonella-Delivered COBRA-HA1 Antigen Derived from H1N1 Hemagglutinin Sequences Elicits Broad-Spectrum Article

Ram Prasad Aganja, Amal Senevirathne, Chandran Sivasankar, John Hwa Lee

Engineering 2024, Volume 32, Issue 1,   Pages 42-57 doi: 10.1016/j.eng.2023.08.001

Abstract:

A universal vaccine is in high demand to address the uncertainties of antigenic drift and the reduced effectiveness of current influenza vaccines. In this study, a strategy called computationally optimized broadly reactive antigen (COBRA) was used to generate a consensus sequence of the hemagglutinin globular head portion (HA1) of influenza virus samples collected from 1918 to 2021 to trace evolutionary changes and incorporate them into the designed constructs. Constructs carrying different HA1 regions were delivered into eukaryotic cells by Salmonella-mediated bactofection using a Semliki Forest virus RdRp-dependent eukaryotic expression system, pJHL204. Recombinant protein expression was confirmed by Western blot and immunofluorescence assays. Mice immunized with the designed constructs produced a humoral response, with a significant increase in immunoglobulin G (IgG) levels, and a cell-mediated immune response, including a 1.5-fold increase in CD4+ and CD8+ T cells. Specifically, constructs #1 and #5 increased the production of interferon-γ (IFN-γ) producing CD4+ and CD8+ T cells, skewing the response toward the T helper type 1 cell (Th1) pathway. Additionally, interleukin-4 (IL-4)-producing T cells were upregulated 4-fold. Protective efficacy was demonstrated, with up to 4-fold higher production of neutralizing antibodies and a hemagglutination inhibition titer > 40 against the selected viral strains. The designed constructs conferred a broadly protective immune response, resulting in a notable reduction in viral titer and minimal inflammation in the lungs of mice challenged with the influenza A/PR8/34, A/Brisbane/59/2007, A/California/07/2009, KBPV VR-92, and NCCP 43021 strains. This discovery revolutionizes influenza vaccine design and delivery; Salmonella-mediated COBRA-HA1 is a highly effective in vivo antigen presentation strategy. This approach can effectively combat seasonal H1N1 influenza strains and potential pandemic outbreaks.

Keywords： COBRA     Influenza A     Salmonella     Vaccine     Broad spectral protection    

HTML PDF Collect

High risk factors for pulmonary fungous infection in intensive care units of neurosurgery

ZHU Wenyu, TAN Liping, CHEN Xiangfeng, HUANG Qiang, LAN Qing

Frontiers of Medicine 2007, Volume 1, Issue 3,   Pages 299-303 doi: 10.1007/s11684-007-0057-8

Abstract: Conditions such as the severity of primary diseases, long-time coma, long-term use of broad-spectrum

Keywords： seventeen     incidence     glucocorticoid     broad-spectrum antibiotic     Candidiasis    

HTML PDF Collect

MSWNet: A visual deep machine learning method adopting transfer learning based upon ResNet 50 for municipal

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 6, doi: 10.1007/s11783-023-1677-1

Abstract:

● MSWNet was proposed to classify municipal solid waste.

Keywords： Municipal solid waste sorting     Deep residual network     Transfer learning     Cyclic learning rate     Visualization    

HTML PDF Collect

Spatial prediction of soil contamination based on machine learning: a review

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 8, doi: 10.1007/s11783-023-1693-1

Abstract:

● A review of machine learning (ML) for spatial prediction of soil

Keywords： Soil contamination     Machine learning     Prediction     Spatial distribution    

HTML PDF Collect

Elucidate long-term changes of ozone in Shanghai based on an integrated machine learning method

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 11, doi: 10.1007/s11783-023-1738-5

Abstract:

● A novel integrated machine learning method to analyze O3

Keywords： Ozone     Integrated method     Machine learning    

HTML PDF Collect

Machine learning in building energy management: A critical review and future directions

Frontiers of Engineering Management 2022, Volume 9, Issue 2,   Pages 239-256 doi: 10.1007/s42524-021-0181-1

Abstract: Over the past two decades, machine learning (ML) has elicited increasing attention in building energy

Keywords： building energy management     machine learning     integrated framework     knowledge evolution    

HTML PDF Collect

Using machine learning models to explore the solution space of large nonlinear systems underlying flowsheet

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 183-197 doi: 10.1007/s11705-021-2073-7

Abstract: exploration of the design variable space for such scenarios, an adaptive sampling technique based on machine learning

Keywords： machine learning     flowsheet simulations     constraints     exploration    

HTML PDF Collect

Machine learning for fault diagnosis of high-speed train traction systems: A review

Frontiers of Engineering Management doi: 10.1007/s42524-023-0256-2

Abstract: In recent years, machine learning has been widely used in various pattern recognition tasks and has demonstratedMachine learning has made considerably advancements in traction system fault diagnosis; however, a comprehensiveThis paper primarily aims to review the research and application of machine learning in the field ofThen, the research and application of machine learning in traction system fault diagnosis are comprehensivelydiagnosis under actual operating conditions are revealed, and the future research trends of machine learning

Keywords： high-speed train     traction systems     machine learning     fault diagnosis    

HTML PDF Collect

Consideration on Developing Mobile Satellite Communication

Zhang Naitong,Zhang Zhongzhao,Chu Haibin,Liu Huijie

Strategic Study of CAE 2002, Volume 4, Issue 10,   Pages 11-16

Abstract:

Three kinds of international constellation communication system are introduced in this paper, and the constitution, configuration, function, and existing problems of some representative systems are analyzed. The paper discusses the development and trend of the satellite communication system, and then some viewpoints on developing mobile satellite communication system are put forward.

Keywords： mobile satellite communication     constellation communication system     broad band service    

HTML PDF Collect

Dynamic prediction of moving trajectory in pipe jacking: GRU-based deep learning framework

Frontiers of Structural and Civil Engineering   Pages 994-1010 doi: 10.1007/s11709-023-0942-5

Abstract: Hence, a gated recurrent unit (GRU)-based deep learning framework is proposed herein to dynamically predictdecision support for moving trajectory control and serve as a foundation for the application of deep learning

Keywords： dynamic prediction     moving trajectory     pipe jacking     GRU     deep learning    

HTML PDF Collect

Machine learning modeling identifies hypertrophic cardiomyopathy subtypes with genetic signature

Frontiers of Medicine 2023, Volume 17, Issue 4,   Pages 768-780 doi: 10.1007/s11684-023-0982-1

Abstract: illustrating the relationship between the phenotype and genotype of each HCM subtype by using machine learningMachine learning modeling based on personal whole-exome data identified 46 genes with mutation burden

Keywords： machine learning methods     hypertrophic cardiomyopathy     genetic risk    

HTML PDF Collect

A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-022-0673-7

Abstract: CNN (ACNN) for fault diagnosis, which can automatically tune its three key hyper parameters, namely, learningFirst, a new deep reinforcement learning (DRL) is developed, and it constructs an agent aiming at controllingACNN is also compared with other published machine learning (ML) and deep learning (DL) methods.

Keywords： deep reinforcement learning     hyper parameter optimization     convolutional neural network     fault diagnosis    

HTML PDF Collect

Automated synthesis of steady-state continuous processes using reinforcement learning

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 288-302 doi: 10.1007/s11705-021-2055-9

Abstract: The present work demonstrates how reinforcement learning can be used for automated flowsheet synthesis

Keywords： automated process synthesis     flowsheet synthesis     artificial intelligence     machine learning     reinforcementlearning    

HTML PDF Collect

Title Author Date Type Operation

Low-Cost Federated Broad Learning for Privacy-Preserved Knowledge Sharing in the RIS-Aided Internet of

Xiaoming Yuan,Jiahui Chen,Ning Zhang,Qiang Ye,Changle Li,Chunsheng Zhu,Xuemin Sherman Shen,

Journal Article

Rapid and long-effective removal of broad-spectrum pollutants from aqueous system by ZVI/oxidants

Sana Ullah, Xuejun Guo, Xiaoyan Luo, Xiangyuan Zhang, Siwen Leng, Na Ma, Palwasha Faiz

Journal Article

Salmonella-Delivered COBRA-HA1 Antigen Derived from H1N1 Hemagglutinin Sequences Elicits Broad-Spectrum

Ram Prasad Aganja, Amal Senevirathne, Chandran Sivasankar, John Hwa Lee

Journal Article

High risk factors for pulmonary fungous infection in intensive care units of neurosurgery

ZHU Wenyu, TAN Liping, CHEN Xiangfeng, HUANG Qiang, LAN Qing

Journal Article

MSWNet: A visual deep machine learning method adopting transfer learning based upon ResNet 50 for municipal

Journal Article

Spatial prediction of soil contamination based on machine learning: a review

Journal Article

Elucidate long-term changes of ozone in Shanghai based on an integrated machine learning method

Journal Article

Machine learning in building energy management: A critical review and future directions

Journal Article

Using machine learning models to explore the solution space of large nonlinear systems underlying flowsheet

Journal Article

Machine learning for fault diagnosis of high-speed train traction systems: A review

Journal Article

Consideration on Developing Mobile Satellite Communication

Zhang Naitong,Zhang Zhongzhao,Chu Haibin,Liu Huijie

Journal Article

Dynamic prediction of moving trajectory in pipe jacking: GRU-based deep learning framework

Journal Article

Machine learning modeling identifies hypertrophic cardiomyopathy subtypes with genetic signature

Journal Article

A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis

Journal Article

Automated synthesis of steady-state continuous processes using reinforcement learning

Journal Article