Blister Defect Detection Based on Convolutional Neural Network for Polymer Lithium-Ion Battery
出版年份 2019 全文链接
标题
Blister Defect Detection Based on Convolutional Neural Network for Polymer Lithium-Ion Battery
作者
关键词
-
出版物
Applied Sciences-Basel
Volume 9, Issue 6, Pages 1085
出版商
MDPI AG
发表日期
2019-03-15
DOI
10.3390/app9061085
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Thyroid Diagnosis from SPECT Images Using Convolutional Neural Network with Optimization
- (2019) Liyong Ma et al. Computational Intelligence and Neuroscience
- Inspection scheduling based on reliability updating of gas turbine welded structures
- (2019) Armando Coro et al. Advances in Mechanical Engineering
- Flower pollination algorithm: a comprehensive review
- (2018) Mohamed Abdel-Basset et al. ARTIFICIAL INTELLIGENCE REVIEW
- Analysis of Manufacturing-Induced Defects and Structural Deformations in Lithium-Ion Batteries Using Computed Tomography
- (2018) Yi Wu et al. Energies
- NB-CNN: Deep Learning-Based Crack Detection Using Convolutional Neural Network and Naïve Bayes Data Fusion
- (2018) Fu-Chen Chen et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- SMT Solder Joint Inspection via a Novel Cascaded Convolutional Neural Network
- (2018) Nian Cai et al. IEEE Transactions on Components Packaging and Manufacturing Technology
- Deep Learning for Computer Vision: A Brief Review
- (2018) Athanasios Voulodimos et al. Computational Intelligence and Neuroscience
- Multi-Level Image Thresholding Using Modified Flower Pollination Algorithm
- (2018) Liang Shen et al. IEEE Access
- A Survey on Deep Learning
- (2018) Samira Pouyanfar et al. ACM COMPUTING SURVEYS
- Feature extraction-based prediction of tool wear of Inconel 718 in face turning
- (2018) M Murua et al. INSIGHT
- Void detection in solder bumps with deep learning
- (2018) Marc van Veenhuizen MICROELECTRONICS RELIABILITY
- Automatic Metallic Surface Defect Detection and Recognition with Convolutional Neural Networks
- (2018) Xian Tao et al. Applied Sciences-Basel
- Research on a Surface Defect Detection Algorithm Based on MobileNet-SSD
- (2018) Yiting Li et al. Applied Sciences-Basel
- Evaluation of battery modules state for electric vehicle using artificial neural network and experimental validation
- (2018) Xinyu Liang et al. Energy Science & Engineering
- Diagnosis of Thyroid Diseases Using SPECT Images Based on Convolutional Neural Network
- (2018) Liyong Ma et al. Journal of Medical Imaging and Health Informatics
- Flower Pollination Algorithm for Multimodal Optimization
- (2017) Jorge Gálvez et al. International Journal of Computational Intelligence Systems
- Optimal Design of Li-Ion Batteries through Multi-Physics Modeling and Multi-Objective Optimization
- (2017) Changhong Liu et al. JOURNAL OF THE ELECTROCHEMICAL SOCIETY
- Experimental and Simulation Investigations of Porosity Graded Cathodes in Mitigating Battery Degradation of High Voltage Lithium-Ion Batteries
- (2017) Lin Liu et al. JOURNAL OF THE ELECTROCHEMICAL SOCIETY
- Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review
- (2017) Waseem Rawat et al. NEURAL COMPUTATION
- Parameter estimation for chaotic systems via a hybrid flower pollination algorithm
- (2017) Shuhui Xu et al. NEURAL COMPUTING & APPLICATIONS
- Thermal modeling and validation of temperature distributions in a prismatic lithium-ion battery at different discharge rates and varying boundary conditions
- (2016) S. Panchal et al. APPLIED THERMAL ENGINEERING
- A Modified Flower Pollination Algorithm for Global Optimization
- (2016) Emad Nabil EXPERT SYSTEMS WITH APPLICATIONS
- Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
- (2016) Hoo-Chang Shin et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Experimental and theoretical investigation of temperature distributions in a prismatic lithium-ion battery
- (2016) S. Panchal et al. INTERNATIONAL JOURNAL OF THERMAL SCIENCES
- Effect of electrode manufacturing defects on electrochemical performance of lithium-ion batteries: Cognizance of the battery failure sources
- (2016) D. Mohanty et al. JOURNAL OF POWER SOURCES
- Using flower pollination algorithm and atomic potential function for shape matching
- (2016) Yongquan Zhou et al. NEURAL COMPUTING & APPLICATIONS
- Machine learning-based imaging system for surface defect inspection
- (2016) Je-Kang Park et al. International Journal of Precision Engineering and Manufacturing-Green Technology
- Quality control tool of electrode coating for lithium-ion batteries based on X-ray radiography
- (2015) A. Etiemble et al. JOURNAL OF POWER SOURCES
- Simulation and Experiment on Solid Electrolyte Interphase (SEI) Morphology Evolution and Lithium-Ion Diffusion
- (2015) P. Guan et al. JOURNAL OF THE ELECTROCHEMICAL SOCIETY
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Classifier Subset Selection for the Stacked Generalization Method Applied to Emotion Recognition in Speech
- (2015) Aitor Álvarez et al. SENSORS
- Detection of Internal Defects in Lithium-Ion Batteries Using Lock-in Thermography
- (2015) J. B. Robinson et al. ECS Electrochemistry Letters
- A thermal-electrochemical model that gives spatial-dependent growth of solid electrolyte interphase in a Li-ion battery
- (2014) Lin Liu et al. JOURNAL OF POWER SOURCES
- Lithium-ion battery electrode inspection using pulse thermography
- (2014) Nathan Sharp et al. NDT & E INTERNATIONAL
- Non-destructive evaluation of slot-die-coated lithium secondary battery electrodes by in-line laser caliper and IR thermography methods
- (2013) Debasish Mohanty et al. Analytical Methods
- Flower pollination algorithm: A novel approach for multiobjective optimization
- (2013) Xin-She Yang et al. ENGINEERING OPTIMIZATION
- A Comprehensive Capacity Fade Model and Analysis for Li-Ion Batteries
- (2013) Xianke Lin et al. JOURNAL OF THE ELECTROCHEMICAL SOCIETY
- Effect of process parameter on the kerf geometry in abrasive water jet milling
- (2010) A. Alberdi et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More