Wei Ke mainly focuses on Metallurgy, Corrosion, Microstructure, Artificial intelligence and Alloy. Wei Ke combines subjects such as Slurry and Coating, Thermal spraying with his study of Corrosion. His research in Microstructure tackles topics such as Pitting corrosion which are related to areas like Amorphous solid, Low-cycle fatigue, Lüders band, Tin and Strain rate.
Wei Ke has included themes like Continuation, Computer vision and Pattern recognition in his Artificial intelligence study. His research in the fields of Segmentation and Histogram overlaps with other disciplines such as Exudate and Optic disk. His Alloy study integrates concerns from other disciplines, such as Growth rate and Grain boundary.
Wei Ke spends much of his time researching Artificial intelligence, Pattern recognition, Computer vision, Algorithm and Object detection. His research investigates the connection between Artificial intelligence and topics such as Machine learning that intersect with problems in Data set. His research integrates issues of Image and Graph in his study of Pattern recognition.
In general Computer vision study, his work on Segmentation, Pixel, Projector and Structured light often relates to the realm of Weld line, thereby connecting several areas of interest. His work focuses on many connections between Algorithm and other disciplines, such as Skeleton, that overlap with his field of interest in Subspace topology. Wei Ke has researched Object detection in several fields, including Data mining, Pascal, Set and Detector.
His scientific interests lie mostly in Artificial intelligence, Pattern recognition, Algorithm, Computer vision and Artificial neural network. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Machine learning and Process. In general Pattern recognition, his work in Convolutional neural network is often linked to Transformation matrix linking many areas of study.
His Algorithm research integrates issues from Dual and Association. His research investigates the connection between Computer vision and topics such as Detector that intersect with issues in Video tracking, Cluster analysis, Radar tracker, Graph and BitTorrent tracker. His Benchmark study combines topics from a wide range of disciplines, such as Object, Object detection and Noise.
His primary scientific interests are in Artificial intelligence, Computer vision, Detector, Robustness and Process. His work on Benchmark, Object and Object detection as part of general Artificial intelligence research is frequently linked to Sample, thereby connecting diverse disciplines of science. His biological study spans a wide range of topics, including Graph and Cluster analysis.
His Detector research is multidisciplinary, relying on both Pixel and BitTorrent tracker. The concepts of his Robustness study are interwoven with issues in Data mining, Ambiguity and Radar tracker. His Process research includes elements of Visualization, Upper and lower bounds, Set and Pattern recognition.
Correlations between stress corrosion cracking susceptibility and grain boundary microstructures for an Al–Zn–Mg alloy
X.Y. Sun;B. Zhang;H.Q. Lin;Y. Zhou.
Corrosion Science (2013)
Slurry erosion–corrosion behaviour of high-velocity oxy-fuel (HVOF) sprayed Fe-based amorphous metallic coatings for marine pump in sand-containing NaCl solutions
Y. Wang;Y. Wang;Y. G. Zheng;W. Ke;W. H. Sun.
Corrosion Science (2011)
C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection
Fang Wan;Chang Liu;Wei Ke;Xiangyang Ji.
computer vision and pattern recognition (2019)
Effect of porosity sealing treatments on the corrosion resistance of high-velocity oxy-fuel (HVOF)-sprayed Fe-based amorphous metallic coatings
Y. Wang;Y. Wang;S.L. Jiang;Y.G. Zheng;W. Ke.
Surface & Coatings Technology (2011)
Corrosion product film formed on the 90/10 copper–nickel tube in natural seawater: Composition/structure and formation mechanism
A.L. Ma;S.L. Jiang;Y.G. Zheng;W. Ke.
Corrosion Science (2015)
Crack initiation mechanisms for low cycle fatigue of type 316Ti stainless steel in high temperature water
S. Xu;X.Q. Wu;E.H. Han;W. Ke.
Materials Science and Engineering A-structural Materials Properties Microstructure and Processing (2008)
Effect of the crystallographic orientation and twinning on the corrosion resistance of an as-extruded Mg–3Al–1Zn (wt.%) bar
B.J. Wang;D.K. Xu;J.H. Dong;W. Ke.
Scripta Materialia (2014)
A location-to-segmentation strategy for automatic exudate segmentation in colour retinal fundus images.
Qing Liu;Qing Liu;Qing Liu;Beiji Zou;Beiji Zou;Jie Chen;Wei Ke.
Computerized Medical Imaging and Graphics (2017)
Electrochemical behaviour of Fe-based metallic glasses in acidic and neutral solutions
Y. Wang;Y. Wang;S.L. Jiang;Y.G. Zheng;W. Ke.
Corrosion Science (2012)
Cavitation erosion behavior of Cr–Mn–N stainless steels in comparison with 0Cr13Ni5Mo stainless steel
W. Liu;W. Liu;Y.G. Zheng;C.S. Liu;Z.M. Yao.
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