Resource Type

Journal Article 505

Year

2024 2

2023 46

2022 52

2021 43

2020 39

2019 29

2018 20

2017 19

2016 17

2015 15

2014 12

2013 20

2012 11

2011 17

2010 19

2009 24

2008 36

2007 31

2006 18

2005 6

open ︾

Keywords

Machine learning 50

machine learning 24

Artificial intelligence 9

artificial neural network 6

compressive strength 6

different 6

experimental study 6

artificial intelligence 5

Deep learning 4

Support vector machine 4

composite 4

simulation 4

Bayesian optimization 3

Big data 3

CFD 3

experimental validation 3

temperature 3

water mist 3

ADV 2

open ︾

Search scope:

排序： Display mode:

Development of an experimental platform for research in energy and electrical machine control

Ali HMIDET, Rachid DHIFAOUI, Driss SAIDANI, Othman HASNAOUI,

Frontiers in Energy 2010, Volume 4, Issue 3,   Pages 366-375 doi: 10.1007/s11708-010-0106-x

Abstract: photovoltaic (PV) and wind energy fields, power measurement and control, as well as alternating current (AC) machine

Keywords： test bench     induction motor     solar energy     wind energy     AC/DC/AC converter     sensors and power measurements    

HTML PDF Collect

Field and laboratory experimental studies on hard-rock tunnel excavation based on disc cutter coupled

Frontiers of Structural and Civil Engineering   Pages 1370-1386 doi: 10.1007/s11709-023-0947-0

Abstract: The tunnel boring machine (TBM) is typically used in hard-rock tunnel excavation.

Keywords： tunnel boring machine     hard-rock cutting     free face     disc cutter     rock-cutting efficiency    

HTML PDF Collect

Experimental study on working parameters of earth pressure balance shield machine tunneling in soft ground

ZHU Hehua, LIAO Shaoming, XU Qianwei, ZHENG Qizhen

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 4,   Pages 350-358 doi: 10.1007/s11709-008-0051-5

Abstract: In order to study the stratum adaptability of earth pressure balance (EPB) shield machine tunneling in

Keywords： construction     different     coastal     conveyor     excavation    

HTML PDF Collect

Design，test and construction of the LKP1000-type movable shot blasting machine

Zhou Chang,Kan Rong ,Zhou Yi,Jiang Qin,Zhu Liang

Strategic Study of CAE 2013, Volume 15, Issue 8,   Pages 84-88

Abstract: In order to make the working efficiency and process of shot blasting machine more optimization, thisresearch through mathematical analysis and validation adjustment by experimental machine design new typeof shot blasting machine.research conduct optimize design and discussion for the size and position of key parts of shot blasting machine

Keywords： shot blasting machine     shot blasting apparatus     surface treatment     experimental machine     shot blasting    

HTML PDF Collect

Challenges of human–machine collaboration in risky decision-making

Frontiers of Engineering Management 2022, Volume 9, Issue 1,   Pages 89-103 doi: 10.1007/s42524-021-0182-0

Abstract: The purpose of this paper is to delineate the research challenges of human–machine collaboration in riskyTechnological advances in machine intelligence have enabled a growing number of applications in human–machineTherefore, it is desirable to achieve superior performance by fully leveraging human and machine capabilitiesAfterward, we review the literature on human–machine collaboration in a general decision context, fromthe perspectives of human–machine organization, relationship, and collaboration.

Keywords： human–machine collaboration     risky decision-making     human–machine team and interaction     task allocation     human–machine relationship    

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

Predicting the elemental compositions of solid waste using ATR-FTIR and machine learning

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 10, doi: 10.1007/s11783-023-1721-1

Abstract:

● A method based on ATR-FTIR and ML was developed to predict CHNS contents in waste.

Keywords： Elemental composition     Infrared spectroscopy     Machine learning     Moisture interference     Solid waste     Spectral    

HTML PDF Collect

State-of-the-art applications of machine learning in the life cycle of solid waste management

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 4, doi: 10.1007/s11783-023-1644-x

Abstract:

● State-of-the-art applications of machine learning (ML) in solid waste

Keywords： Machine learning (ML)     Solid waste (SW)     Bibliometrics     SW management     Energy utilization     Life cycle    

HTML PDF Collect

Research and application of visual location technology for solder paste printing based on machine vision

Luosi WEI, Zongxia JIAO

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 2,   Pages 184-191 doi: 10.1007/s11465-009-0034-9

Abstract: Using machine vision technology to complete the location mission is new and very efficient.This paper presents an integrated visual location system for solder paste printing based on machine vision

Keywords： machine vision     visual location     solder paste printing     VisionPro    

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

Evaluation and prediction of slope stability using machine learning approaches

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 4,   Pages 821-833 doi: 10.1007/s11709-021-0742-8

Abstract: In this paper, the machine learning (ML) model is built for slope stability evaluation and meets the

Keywords： slope stability     factor of safety     regression     machine learning     repeated cross-validation    

HTML PDF Collect

Liquefaction prediction using support vector machine model based on cone penetration data

Pijush SAMUI

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 1,   Pages 72-82 doi: 10.1007/s11709-013-0185-y

Abstract: A support vector machine (SVM) model has been developed for the prediction of liquefaction susceptibilityThe SVM, a novel learning machine based on statistical theory, uses structural risk minimization (SRM

Keywords： earthquake     cone penetration test     liquefaction     support vector machine (SVM)     prediction    

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

Keywords： machine learning     flowsheet simulations     constraints     exploration    

HTML PDF Collect

Big data and machine learning: A roadmap towards smart plants

Frontiers of Engineering Management   Pages 623-639 doi: 10.1007/s42524-022-0218-0

Abstract: advanced data processing, storage and analysis, advanced process control, artificial intelligence and machineExploitation of the information contained in these data requires the use of advanced machine learning

Keywords： big data     machine learning     artificial intelligence     smart sensor     cyber–physical system     Industry 4.0    

HTML PDF Collect

Stiffness analysis and experimental validation of robotic systems

Giuseppe CARBONE

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 2,   Pages 182-196 doi: 10.1007/s11465-011-0221-3

Abstract: Therefore, this paper proposes procedures for carrying out both numerical and experimental estimationsThen, an experimental procedure for the evaluation stiffness performance is proposed as based on a newsoundness and engineering feasibility of both the proposed numerical formulation for stiffness analysis and experimental

Keywords： robotics     stiffness performance     numerical and experimental estimations    

HTML PDF Collect

Title Author Date Type Operation

Development of an experimental platform for research in energy and electrical machine control

Ali HMIDET, Rachid DHIFAOUI, Driss SAIDANI, Othman HASNAOUI,

Journal Article

Field and laboratory experimental studies on hard-rock tunnel excavation based on disc cutter coupled

Journal Article

Experimental study on working parameters of earth pressure balance shield machine tunneling in soft ground

ZHU Hehua, LIAO Shaoming, XU Qianwei, ZHENG Qizhen

Journal Article

Design，test and construction of the LKP1000-type movable shot blasting machine

Zhou Chang,Kan Rong ,Zhou Yi,Jiang Qin,Zhu Liang

Journal Article

Challenges of human–machine collaboration in risky decision-making

Journal Article

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

Journal Article

Predicting the elemental compositions of solid waste using ATR-FTIR and machine learning

Journal Article

State-of-the-art applications of machine learning in the life cycle of solid waste management

Journal Article

Research and application of visual location technology for solder paste printing based on machine vision

Luosi WEI, Zongxia JIAO

Journal Article

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

Journal Article

Evaluation and prediction of slope stability using machine learning approaches

Journal Article

Liquefaction prediction using support vector machine model based on cone penetration data

Pijush SAMUI

Journal Article

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

Journal Article

Big data and machine learning: A roadmap towards smart plants

Journal Article

Stiffness analysis and experimental validation of robotic systems

Giuseppe CARBONE

Journal Article