Search scope:
排序: Display mode:
Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 4, Pages 523-535 doi: 10.1007/s11705-021-2083-5
Keywords: solubility prediction machine learning artificial neural network random decision forests
Active Machine Learning for Chemical Engineers: A Bright Future Lies Ahead! Perspective
Yannick Ureel, Maarten R. Dobbelaere, Yi Ouyang, Kevin De Ras, Maarten K. Sabbe, Guy B. Marin, Kevin M. Van Geem
Engineering 2023, Volume 27, Issue 8, Pages 23-30 doi: 10.1016/j.eng.2023.02.019
By combining machine learning with the design of experiments, thereby achieving so-called active machinelearning, more efficient and cheaper research can be conducted.While active machine learning algorithms are maturing, their applications are falling behind.In this article, three types of challenges presented by active machine learning—namely, convincingA bright future lies ahead for active machine learning in chemical engineering, thanks to increasing
Keywords: Active machine learning Active learning Bayesian optimization Chemical engineering Design of experiments
Ensemble enhanced active learning mixture discriminant analysis model and its application for semi-supervised Research Article
Weijun WANG, Yun WANG, Jun WANG, Xinyun FANG, Yuchen HE
Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 12, Pages 1814-1827 doi: 10.1631/FITEE.2200053
Keywords: Semi-supervised Active learning Ensemble learning Mixture discriminant analysis Fault classification
Interactive visual labelling versus active learning: an experimental comparison Research
Mohammad CHEGIN, Jürgen BERNARD, Jian CUI, Fatemeh CHEGINI, Alexei SOURIN, Keith Keith, Tobias SCHRECK
Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 4, Pages 524-535 doi: 10.1631/FITEE.1900549
Keywords: Interactive visual labelling Active learning Visual analytics
A deep Q-learning network based active object detection model with a novel training algorithm for service Research Article
Shaopeng LIU, Guohui TIAN, Yongcheng CUI, Xuyang SHAO
Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 11, Pages 1673-1683 doi: 10.1631/FITEE.2200109
Keywords: Active object detection Deep Q-learning network Training method Service robots
Ze-zhi TANG, Yuan-jin YU, Zhen-hong LI, Zheng-tao DING
Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 1, Pages 131-140 doi: 10.1631/FITEE.1800558
Although standard iterative learning control (ILC) approaches can achieve perfect tracking for active
Keywords: Active magnetic bearings (AMBs) Iterative learning control (ILC) Disturbance observer
Automatic traceability link recovery via active learning Research Articles
Tian-bao Du, Guo-hua Shen, Zhi-qiu Huang, Yao-shen Yu, De-xiang Wu,tbdu_312@outlook.com,ghshen@nuaa.edu.cn,zqhuang@nuaa.edu.cn
Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 8, Pages 1217-1225 doi: 10.1631/FITEE.1900222
Keywords: Automatic Traceability link recovery Manpower Active learning
Frontiers of Structural and Civil Engineering doi: 10.1007/s11709-023-0966-x
Keywords: anti-fault effect engineering measures LRAF method stress and displacement field tunnel-crossing active
Solid-state NMR for metal-containing zeolites: From active sites to reaction mechanism
Xingling Zhao, Jun Xu, Feng Deng
Frontiers of Chemical Science and Engineering 2020, Volume 14, Issue 2, Pages 159-187 doi: 10.1007/s11705-019-1885-1
Keywords: metal-containing zeolites solid-state NMR active site host-guest interaction reaction mechanism
Advances in Active Suspension Systems for Road Vehicles
Min Yu,Simos Evangelou,Daniele Dini,
Engineering doi: 10.1016/j.eng.2023.06.014
Keywords: Active suspension Vehicle dynamics Robust control Ride comfort Chassis attitude
Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 8, doi: 10.1007/s11783-022-1518-7
• Antibiotic azithromycin employed in graphite electrode for EAB biosensor.
Keywords: AZM@GP composite electrode EAB-biosensor Water quality early-warning
Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 6, Pages 1480-1493 doi: 10.1007/s11709-021-0776-y
Keywords: seismic active earth pressure partial seepage flow pore pressure anisotropy upper bound theorem
Optimal Timing and Recycling Operation Mode for Electro-Mechanical Products Active Remanufacturing
Wang Gao,Tao Li,Shi-tong Peng,Liang Wang,Hong-chao Zhang
Frontiers of Engineering Management 2016, Volume 3, Issue 2, Pages 115-122 doi: 10.15302/J-FEM-2016019
Keywords: electro-mechanical products active remanufacturing optimal timing reverse logistics recycling mode
Finite element modeling of thermo-active diaphragm walls
Yi RUI, Mei YIN
Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 3, Pages 646-663 doi: 10.1007/s11709-020-0584-9
Keywords: thermo-active diaphragm wall finite element analysis thermo-hydro-mechanical coupling ground source heat
Semi-active vibration control using piezoelectric actuators in smart structures
Jinhao QIU, Hongli JI, Kongjun ZHU
Frontiers of Mechanical Engineering 2009, Volume 4, Issue 3, Pages 242-251 doi: 10.1007/s11465-009-0068-z
Keywords: smart structure semi-active method vibration control piezoelectric actuator
Title Author Date Type Operation
Machine learning-based solubility prediction and methodology evaluation of active pharmaceutical ingredients
Journal Article
Active Machine Learning for Chemical Engineers: A Bright Future Lies Ahead!
Yannick Ureel, Maarten R. Dobbelaere, Yi Ouyang, Kevin De Ras, Maarten K. Sabbe, Guy B. Marin, Kevin M. Van Geem
Journal Article
Ensemble enhanced active learning mixture discriminant analysis model and its application for semi-supervised
Weijun WANG, Yun WANG, Jun WANG, Xinyun FANG, Yuchen HE
Journal Article
Interactive visual labelling versus active learning: an experimental comparison
Mohammad CHEGIN, Jürgen BERNARD, Jian CUI, Fatemeh CHEGINI, Alexei SOURIN, Keith Keith, Tobias SCHRECK
Journal Article
A deep Q-learning network based active object detection model with a novel training algorithm for service
Shaopeng LIU, Guohui TIAN, Yongcheng CUI, Xuyang SHAO
Journal Article
Disturbance rejection via iterative learning controlwith a disturbance observer for active magnetic bearing
Ze-zhi TANG, Yuan-jin YU, Zhen-hong LI, Zheng-tao DING
Journal Article
Automatic traceability link recovery via active learning
Tian-bao Du, Guo-hua Shen, Zhi-qiu Huang, Yao-shen Yu, De-xiang Wu,tbdu_312@outlook.com,ghshen@nuaa.edu.cn,zqhuang@nuaa.edu.cn
Journal Article
advanced engineering measures on displacement and stress field of surrounding rock in tunnels crossing active
Journal Article
Solid-state NMR for metal-containing zeolites: From active sites to reaction mechanism
Xingling Zhao, Jun Xu, Feng Deng
Journal Article
Advances in Active Suspension Systems for Road Vehicles
Min Yu,Simos Evangelou,Daniele Dini,
Journal Article
An antibiotic composite electrode for improving the sensitivity of electrochemically active biofilm biosensor
Journal Article
Upper bound solution to seismic active earth pressure of submerged backfill subjected to partial drainage
Journal Article
Optimal Timing and Recycling Operation Mode for Electro-Mechanical Products Active Remanufacturing
Wang Gao,Tao Li,Shi-tong Peng,Liang Wang,Hong-chao Zhang
Journal Article