Resource Type

Journal Article 525

Conference Videos 7

Year

2023 65

2022 55

2021 49

2020 50

2019 56

2018 32

2017 20

2016 17

2015 23

2014 28

2013 21

2012 12

2011 13

2010 20

2009 15

2008 10

2007 16

2006 3

2005 3

2004 1

open ︾

Keywords

Deep learning 36

adsorption 24

deep learning 15

Adsorption 11

Artificial intelligence 9

removal efficiency 9

Machine learning 6

Nitrogen removal 6

Removal 6

Anammox 4

Constructed wetland 4

Removal efficiency 4

phosphorus removal 4

removal 4

Arsenic 3

Autonomous driving 3

biosorption 3

Accelerator 2

Aerobic nitrification 2

open ︾

Search scope:

排序： Display mode:

Analysis of Flue Gas Pollutants Deep-removal Technology in Coal-fired Power Plants

Xiao-lu Zhang

Frontiers of Engineering Management 2014, Volume 1, Issue 4,   Pages 336-340 doi: 10.15302/J-FEM-2014061

Abstract: Developing Flue Gas Pollutant Deep-removal Technology (DRT) for coal-fired power plants for deep-removingthe necessity and existing problems of developing DRT suitable for China, this study focused on PM removalFinally, the flue gas pollutant removal system at a 2×660MW supercritical power plant was introduced,

Keywords： Coal-fired power plant     flue gas pollutants     deep-removal     PM2.5 removal    

HTML PDF Collect

The R&D of Flue Gas Pollutants Deep-Removal Technology for Coal-fired Power Plants

Xiao-lu Zhang

Frontiers of Engineering Management 2015, Volume 2, Issue 4,   Pages 359-363 doi: 10.15302/J-FEM-2015057

Abstract: The flue gas pollutants deep-removal technology (DRT) focusing on PM removal is the prime method of

Keywords： coal-fired power plant     pollutants emission reduction     PM2.5     flue gas pollutants     deep-removal    

HTML PDF Collect

Analysis of flue gas pollutants deep-removal technology for coal-fired power plant

Zhang Xiaolu

Strategic Study of CAE 2014, Volume 16, Issue 10,   Pages 47-51

Abstract: pollutant control technology is difficult to remove PM2.5, the development of the Flue Gas Pollutants Deep-removalTechnology (DRT) for Coal-fired Power Plant for deep-removing PM2.5, SO2, SO3, heavy metals and othernecessity and existing problems of developing DRT suitable for China, this study focused on the PM2.5 removalFinally, introduces the flue gas pollutant removal system with an example of a 2×660 MW supercritical

Keywords： coal-fired power plant     flue gas pollutants     deep-removal     PM2.5 removal    

HTML PDF Collect

Research progress in removal of trace carbon dioxide from closed spaces

ZHANG Yatao, FAN Lihai, ZHANG Lin, CHEN Huanlin

Frontiers of Chemical Science and Engineering 2007, Volume 1, Issue 3,   Pages 310-316 doi: 10.1007/s11705-007-0057-x

Abstract: In this paper, the removal of trace carbon dioxide from closed spaces through membrane process and biotransformationIt is found that higher CO removal efficiency can be obtained in biotransformation and membrane process

Keywords： removal efficiency     consumption     removal     CO removal     membrane microalgae    

HTML PDF Collect

Digital image correlation-based structural state detection through deep learning

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1,   Pages 45-56 doi: 10.1007/s11709-021-0777-x

Abstract: This paper presents a new approach for automatical classification of structural state through deep learning

Keywords： structural state detection     deep learning     digital image correlation     vibration signal     steel frame    

HTML PDF Collect

Development and deep-sea exploration of the Haidou-1

Frontiers of Engineering Management   Pages 546-549 doi: 10.1007/s42524-023-0260-6

Abstract: Development and deep-sea exploration of the Haidou-1

Keywords： hadal zone     autonomous and remotely-operated vehicle     integrated exploration operation     deep dive exceeding    

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 predicteffective decision support for moving trajectory control and serve as a foundation for the application of deep

Keywords： dynamic prediction     moving trajectory     pipe jacking     GRU     deep learning    

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: First, a new deep reinforcement learning (DRL) is developed, and it constructs an agent aiming at controllingSecond, a new structure of DRL is designed by combining deep deterministic policy gradient and long short-termACNN 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

Multiclass classification based on a deep convolutional

Ying CAI,Meng-long YANG,Jun LI

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 11,   Pages 930-939 doi: 10.1631/FITEE.1500125

Abstract: In this paper we propose a novel method to estimate head pose based on a deep convolutional neural network

Keywords： Head pose estimation     Deep convolutional neural network     Multiclass classification    

HTML PDF Collect

Hybrid deep learning model for risk prediction of fracture in patients with diabetes and osteoporosis

Frontiers of Medicine 2022, Volume 16, Issue 3,   Pages 496-506 doi: 10.1007/s11684-021-0828-7

Abstract: In this paper, a hybrid model combining XGBoost with deep neural network is used to predict the fracture

Keywords： XGBoost     deep neural network     healthcare     risk prediction    

HTML PDF Collect

Stability analysis on Tingzikou gravity dam along deep-seated weak planes during earthquake

Weiping HE, Yunlong HE

Frontiers of Structural and Civil Engineering 2012, Volume 6, Issue 1,   Pages 69-75 doi: 10.1007/s11709-012-0146-x

Abstract: The stability of a gravity dam against sliding along deep-seated weak planes is a universal and importantThere is no recommended method for stability analysis of the dam on deep-seated weak planes under earthquakeis focused on searching a proper way to evaluate the seismic safety of the dam against sliding along deep-seatedweak planes and the probable failure modes of dam on deep-seated weak planes during earthquake.

Keywords： gravity dam     deep-seated weak planes     stability against sliding     earthquake    

HTML PDF Collect

Removal of SO

Xiaolei LI, Chunying ZHU, Youguang MA

Frontiers of Chemical Science and Engineering 2013, Volume 7, Issue 2,   Pages 185-191 doi: 10.1007/s11705-013-1326-5

Abstract: In this work, the removal of SO from gas mixture with air and SO by ammonium bicarbonate aqueous solutionconcentration of ammonium bicarbonate, the SO inlet concentration of gas phase and the gas flow rate on the removalshorter the lasting time of SO completely removed in gas outlet, and then the faster the decrease in the removalsolution pH was less than the critical pH, it would sharply fall, resulting in a rapid decrease of the SO removalA theoretical model for predicting the SO removal rate has been developed by taking the chemical enhancement

Keywords： SO2 removal     bubble column reactor     removal rate     ammonium bicarbonate     absorbent    

HTML PDF Collect

Scrap Iron Filings assisted nitrate and phosphate removal in low C/N waters using mixed microbial culture

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 4, doi: 10.1007/s11783-020-1358-2

Abstract:

• Microbes enhance denitrification under varying DO concentrations and SIF dosages.

Keywords： Scrap iron filing     Nitrate removal     Phosphate removal     Mixed culture denitrification     Zero valent iron    

HTML PDF Collect

Mercury removal from flue gas using nitrate as an electron acceptor in a membrane biofilm reactor

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 2, doi: 10.1007/s11783-021-1454-y

Abstract:

Membrane bioreactor achieved mercury removal using nitrate as an electron

Keywords： Mercury removal     Oxygen     Ferrous sulfide     Transformation of mercury     Microbial community    

HTML PDF Collect

Survey on deep learning for pulmonary medical imaging

Jiechao Ma, Yang Song, Xi Tian, Yiting Hua, Rongguo Zhang, Jianlin Wu

Frontiers of Medicine 2020, Volume 14, Issue 4,   Pages 450-469 doi: 10.1007/s11684-019-0726-4

Abstract: As a promising method in artificial intelligence, deep learning has been proven successful in severalWith medical imaging becoming an important part of disease screening and diagnosis, deep learning-basedDeep learning has been widely applied in medical imaging for improved image analysis.This paper reviews the major deep learning techniques in this time of rapid evolution and summarizesLastly, the application of deep learning techniques to the medical image and an analysis of their future

Keywords： deep learning     neural networks     pulmonary medical image     survey    

HTML PDF Collect

Title Author Date Type Operation

Analysis of Flue Gas Pollutants Deep-removal Technology in Coal-fired Power Plants

Xiao-lu Zhang

Journal Article

The R&D of Flue Gas Pollutants Deep-Removal Technology for Coal-fired Power Plants

Xiao-lu Zhang

Journal Article

Analysis of flue gas pollutants deep-removal technology for coal-fired power plant

Zhang Xiaolu

Journal Article

Research progress in removal of trace carbon dioxide from closed spaces

ZHANG Yatao, FAN Lihai, ZHANG Lin, CHEN Huanlin

Journal Article

Digital image correlation-based structural state detection through deep learning

Journal Article

Development and deep-sea exploration of the Haidou-1

Journal Article

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

Journal Article

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

Journal Article

Multiclass classification based on a deep convolutional

Ying CAI,Meng-long YANG,Jun LI

Journal Article

Hybrid deep learning model for risk prediction of fracture in patients with diabetes and osteoporosis

Journal Article

Stability analysis on Tingzikou gravity dam along deep-seated weak planes during earthquake

Weiping HE, Yunlong HE

Journal Article

Removal of SO

Xiaolei LI, Chunying ZHU, Youguang MA

Journal Article

Scrap Iron Filings assisted nitrate and phosphate removal in low C/N waters using mixed microbial culture

Journal Article

Mercury removal from flue gas using nitrate as an electron acceptor in a membrane biofilm reactor

Journal Article

Survey on deep learning for pulmonary medical imaging

Jiechao Ma, Yang Song, Xi Tian, Yiting Hua, Rongguo Zhang, Jianlin Wu

Journal Article