Search scope:
排序: Display mode:
Xiang LI, Yun LUO, Chengtao WANG, Wenguang ZHANG, Yuanchao LI
Frontiers of Mechanical Engineering 2012, Volume 7, Issue 1, Pages 66-71 doi: 10.1007/s11465-012-0302-y
Electron beam melting process was used to fabricate porous Ti6Al4V implants.The porous structure and surface topography of the implants were characterized by scanning electron microscopyThere was about±50 μm of undulation on implants surfaces.Standard implants and a custom implant coupled with porous sections were designed and fabricated to validateThe results of the study showed that the EBM produced Ti6Al4V implants with well-controlled porous structure
Keywords: electron beam melting process implant porous structure bone ingrowth
Ahsan Noor Khan, Young-ok Cha, Henry Giddens, Yang Hao
Engineering 2022, Volume 11, Issue 4, Pages 27-41 doi: 10.1016/j.eng.2021.10.019
Keywords: Bioelectronics Neural implants Drug delivery Antennas Wireless power
Multiscale computation on feedforward neural network and recurrent neural network
Bin LI, Xiaoying ZHUANG
Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6, Pages 1285-1298 doi: 10.1007/s11709-020-0691-7
Keywords: multiscale method constitutive model feedforward neural network recurrent neural network
Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-022-0673-7
Keywords: deep reinforcement learning hyper parameter optimization convolutional neural network fault diagnosis
Automated classification of civil structure defects based on convolutional neural network
Pierclaudio SAVINO, Francesco TONDOLO
Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2, Pages 305-317 doi: 10.1007/s11709-021-0725-9
Keywords: concrete structure infrastructures visual inspection convolutional neural network artificial intelligence
Deep convolutional neural network for multi-level non-invasive tunnel lining assessment
Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 2, Pages 214-223 doi: 10.1007/s11709-021-0800-2
Keywords: concrete structure GPR damage classification convolutional neural network transfer learning
Fault diagnosis of axial piston pumps with multi-sensor data and convolutional neural network
Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0692-4
Keywords: axial piston pump fault diagnosis convolutional neural network multi-sensor data fusion
T. Chandra Sekhara REDDY
Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 4, Pages 490-503 doi: 10.1007/s11709-017-0445-3
Keywords: artificial neural networks root mean square error SIFCON silica fume metakaolin steel fiber
Advances in Medical Applications of Additive Manufacturing Review
Chunxu Li, Dario Pisignano, Yu Zhao, Jiajia Xue
Engineering 2020, Volume 6, Issue 11, Pages 1222-1231 doi: 10.1016/j.eng.2020.02.018
Keywords: Additive manufacturing Medical applications Pharmaceutics Medical implants Medical devices
Design, analysis, and neural control of a bionic parallel mechanism
Frontiers of Mechanical Engineering 2021, Volume 16, Issue 3, Pages 468-486 doi: 10.1007/s11465-021-0640-8
Keywords: neural control behavior network rhythm motion pattern
Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 5, Pages 1181-1198 doi: 10.1007/s11709-021-0744-6
Keywords: interaction load sharing ratio piled raft nonlinear regression artificial neural network
Frontiers of Medicine 2022, Volume 16, Issue 2, Pages 227-239 doi: 10.1007/s11684-021-0896-8
Keywords: cannabidiol depression radial neural stem cells neurogenesis
Novel interpretable mechanism of neural networks based on network decoupling method
Frontiers of Engineering Management 2021, Volume 8, Issue 4, Pages 572-581 doi: 10.1007/s42524-021-0169-x
Keywords: neural networks interpretability dynamical behavior network decouple
Service life prediction of fly ash concrete using an artificial neural network
Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3, Pages 793-805 doi: 10.1007/s11709-021-0717-9
Keywords: concrete fly ash carbonation neural networks experimental validation service life
Online recognition of drainage type based on UV-vis spectra and derivative neural network algorithm
Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 6, doi: 10.1007/s11783-021-1430-6
• UV-vis absorption analyzer was applied in drainage type online recognition.
Keywords: Drainage online recognition UV-vis spectra Derivative spectrum Convolutional neural network
Title Author Date Type Operation
Fabrication and in vivo evaluation of Ti6Al4V implants with controlled porous structure and complex shape
Xiang LI, Yun LUO, Chengtao WANG, Wenguang ZHANG, Yuanchao LI
Journal Article
Recent Advances in Organ Specific Wireless Bioelectronic Devices: Perspective on Biotelemetry and Power Transfer Using Antenna Systems
Ahsan Noor Khan, Young-ok Cha, Henry Giddens, Yang Hao
Journal Article
Multiscale computation on feedforward neural network and recurrent neural network
Bin LI, Xiaoying ZHUANG
Journal Article
A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis
Journal Article
Automated classification of civil structure defects based on convolutional neural network
Pierclaudio SAVINO, Francesco TONDOLO
Journal Article
Deep convolutional neural network for multi-level non-invasive tunnel lining assessment
Journal Article
Fault diagnosis of axial piston pumps with multi-sensor data and convolutional neural network
Journal Article
Predicting the strength properties of slurry infiltrated fibrous concrete using artificial neural network
T. Chandra Sekhara REDDY
Journal Article
Advances in Medical Applications of Additive Manufacturing
Chunxu Li, Dario Pisignano, Yu Zhao, Jiajia Xue
Journal Article
and load sharing pattern of piled raft using nonlinear regression and LM algorithm-based artificial neural
Journal Article
Cannabidiol prevents depressive-like behaviors through the modulation of neural stem cell differentiation
Journal Article