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physics (108) 108
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transporting (83) 83
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functional features or details of lighting devices or systemsthereof (15) 15
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structural combinations of lighting devices with otherarticles, not otherwise provided for (15) 15
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indexing scheme associated with subclasses f21k, f21l, f21sand f21v, relating to theform or the kind of the light sources or of the colour of thelight emitted (14) 14
line connectors (14) 14
semiconductor devices (14) 14
after-treatment of the shaped products, e.g. repairing (13) 13
devices or arrangements, the optical operation of which ismodified by changing the optical properties of the medium of thedevices or arrangements for the control of the intensity,colour, phase, polarisation or direction of light, e.g.switching, gating, modulating or demodulating (13) 13
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technologies or applications for mitigation or adaptation againstclimate change (13) 13
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land vehicles for travelling otherwise than on rails (11) 11
producing particular articles from plastics or from substancesin a plastic state (11) 11
electrochemistry (10) 10
indexing scheme associated with subclass b29c, relating to particulararticles (10) 10
mechanical metal-working without essentially removingmaterial (10) 10
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accessories peculiar to cycles and not otherwise provided for,e.g. article carriers, cycle protectors (9) 9
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energy & fuels (9) 9
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中国经济 (6) 6
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Journal Article
Journal of process control, ISSN 0959-1524, 2015, Volume 28, pp. 56 - 72
•Generalized additive kernel PCA is introduced for on-line batch process monitoring.•GAKPCA inherits the good properties of multiway PCA for on-line... 
Correntropy | On-line monitoring | Robustness | Additive kernels | Batch processes | Multiway kernel principal component analysis | ENGINEERING, CHEMICAL | NUMBER | FAULT-DETECTION | MODEL | AUTOMATION & CONTROL SYSTEMS | PCA
Journal Article
Industrial & engineering chemistry research, ISSN 0888-5885, 03/2017, Volume 56, Issue 9, pp. 2475 - 2491
Industrial process fault detection plays an important role for process security, and data-based process monitoring is an effective way to detect fault.... 
ENGINEERING, CHEMICAL | DIAGNOSIS | BATCH | OUTLIER DETECTION | MULTIPLE OPERATING MODES | Hyperspheres | Training | Fault detection | Efficiency | Outliers (statistics) | Mathematical models | Density | Monitoring
Journal Article
Industrial & engineering chemistry research, ISSN 0888-5885, 01/2016, Volume 55, Issue 1, pp. 187 - 196
In this paper, a novel multimode batch process monitoring scheme called sparse representation residual space analysis (SR-RA) is proposed. The proposed SR-RA... 
ENGINEERING, CHEMICAL | DIAGNOSIS | PRINCIPAL COMPONENT ANALYSIS | PLS | GAUSSIAN MIXTURE MODEL | FAULT-DETECTION | PARTIAL LEAST-SQUARES | PCA
Journal Article
Journal of process control, ISSN 0959-1524, 07/2014, Volume 24, Issue 7, pp. 1085 - 1097
•A batch process monitoring method based on functional data description is proposed.•The method organizes the three-way batch data as a functional matrix.•Each... 
Batch processes | Support vector data description | Data-based process monitoring | Functional data analysis | PRINCIPAL COMPONENT ANALYSIS | MODEL | STATISTICAL-ANALYSIS | PCA | ENGINEERING, CHEMICAL | FAULT-DETECTION | HIGH DIMENSION | AUTOMATION & CONTROL SYSTEMS | CHARTS
Journal Article
Journal of process control, ISSN 0959-1524, 2016, Volume 40, pp. 119 - 133
•A dynamic process monitoring method based on sparse representation is proposed.•The method constructs the adjacency graph by solving a convex optimization... 
Dynamic process monitoring | Robust fault detection | Robust sparse representation | Manifold learning | Neighborhood preserving embedding | ENGINEERING, CHEMICAL | PRINCIPAL COMPONENT ANALYSIS | FACE RECOGNITION | AUTOMATION & CONTROL SYSTEMS
Journal Article
Journal of process control, ISSN 0959-1524, 06/2019, Volume 78, pp. 88 - 97
•A new method incorporating active learning to semi-supervised industrial fault classification is proposed to solve the lack of labeled training data.•The... 
Fault classification | Fisher discriminant analysis | Active learning | Semi-supervised | ENGINEERING, CHEMICAL | BIG DATA | FISHER DISCRIMINANT-ANALYSIS | AUTOMATION & CONTROL SYSTEMS
Journal Article
Lecture Notes in Electrical Engineering, ISSN 1876-1100, 2018, Volume 458, pp. 263 - 271
Conference Proceeding
Lecture Notes in Electrical Engineering, ISSN 1876-1100, 2018, Volume 458, pp. 237 - 246
Conference Proceeding
IEEE Transactions on Cybernetics, ISSN 2168-2267, 05/2015, Volume 45, Issue 5, pp. 941 - 953
One-class classification (OCC) builds models using only the samples from one class (the target class) so as to predict whether a new-coming sample belongs to... 
Support vector machines | Training | Gaussian kernel | Shape | one-class SVM (OCSVM) | Linear programming | Kernel | Optimization | Cybernetics | parameter selection | KPCA | SUPPORT VECTOR MACHINES | NETWORK | NOVELTY DETECTION | MODEL SELECTION | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | COMPUTER SCIENCE, CYBERNETICS | PCA
Journal Article
Journal of Cancer, ISSN 1837-9664, 2017, Volume 8, Issue 8, pp. 1400 - 1409
Radiotherapy is one of the major therapeutic strategies for human non-small cell lung cancer (NSCLC), but intrinsic radioresistance of cancer cells makes a... 
NSCLC | Radiosensitivity | SSBP1 | SURVIVAL | STABILITY | radiosensitivity | RADIATION SENSITIVITY | HUMAN FIBROBLAST CELLS | MAINTENANCE | IMPACT | REPLICATION | ONCOLOGY | RADIORESISTANCE | RADIOTHERAPY | UP-REGULATION
Journal Article
International journal of hydrogen energy, ISSN 0360-3199, 06/2012, Volume 37, Issue 12, pp. 9801 - 9808
On the purpose to perform as functional layer of SOFCs operating on methane fuel, NiFe–ZrO2 alloy catalysts have been synthesized and investigated for methane... 
Solid-oxide fuel cells | Carbon deposition | Methane partial oxidation | Nickel-iron catalyst | OXIDATION | ELECTROCHEMISTRY | CERMET ANODE | DESIGN | ENERGY | ENERGY & FUELS | CHEMISTRY, PHYSICAL | INTERMEDIATE TEMPERATURE SOFC | ETHANOL | NI/YSZ | LAYER | OXIDE FUEL-CELLS
Journal Article
Journal of power sources, ISSN 0378-7753, 2011, Volume 196, Issue 18, pp. 7601 - 7608
► The sintered Ni-YSZ anode has high activity for DME partial oxidation. ► The fuel cell operating on DME-O 2 delivers high power output. ► Cell performance is... 
Solid-oxide fuel cells | Carbon deposition | Dimethyl ether | Anode | Partial oxidation | ELECTROCHEMISTRY | DESIGN | ENERGY & FUELS | PERFORMANCE | MATERIALS SCIENCE, MULTIDISCIPLINARY | CHEMISTRY, PHYSICAL | NATURAL-GAS | HYDROGEN-PRODUCTION | DME | SOFC | Solid oxide fuel cells | Oxidation | Nickel | Fuels | Carbon | Anodes | Deposition
Journal Article
Chemometrics and intelligent laboratory systems, ISSN 0169-7439, 2015, Volume 149, pp. 78 - 89
Journal Article
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 09/2015, Volume 26, Issue 9, pp. 2182 - 2187
Journal Article
IEEE Transactions on Semiconductor Manufacturing, ISSN 0894-6507, 11/2017, Volume 30, Issue 4, pp. 515 - 525
Journal Article
Electrochimica acta, ISSN 0013-4686, 09/2012, Volume 78, pp. 466 - 474
Co-free oxides with a nominal composition of LnBaFe O , where Ln = La, Pr, Nd, Sm, Gd, and Y, were synthesized and phase structure, oxygen content, electronic... 
Cobalt-free | Layered perovskite | Solid oxide fuel cells | cathodes | LnBaFe
Journal Article
Knowledge-based systems, ISSN 0950-7051, 2018, Volume 153, pp. 40 - 52
Practical industrial data usually has non-Gaussian data distribution and nonlinear variable correlation. Because support vector data description (SVDD) has no... 
SVDD | Active learning | Robust novelty detection | TEP | KPCA | ONE-CLASS SVM | ONLINE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Information management | Noise control | Analysis | Methods
Journal Article
Knowledge-based systems, ISSN 0950-7051, 08/2018, Volume 153, p. 40
Practical industrial data usually has non-Gaussian data distribution and nonlinear variable correlation. Because support vector data description (SVDD) has no... 
Learning | Active learning | Normal distribution | Noise reduction | Gaussian distribution | Principal components analysis | Probability distribution | Optimization
Journal Article
Knowledge-based systems, ISSN 0950-7051, 2014, Volume 59, pp. 75 - 84
As one of the methods to solve one-class classification problems (OCC), one-class support vector machines (OCSVM) have been applied to fault detection in... 
Gaussian kernel | Parameter selection | Fault detection | One-class classification | OCSVM | SUPPORT VECTOR MACHINES | MODEL SELECTION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Support vector machines | Kernels | Data sets | Mathematical models | Gaussian | Knowledge base | Boundaries
Journal Article
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