中国机械工程学会生产工程分会知识服务平台

期刊


ISSN0956-5515
刊名Journal of Intelligent Manufacturing
参考译名智能化制造业杂志
收藏年代1999～2024



全部

1999 2000 2001 2002 2003 2004
2005 2006 2007 2008 2009 2010
2011 2012 2013 2014 2015 2016
2017 2018 2019 2020 2021 2022
2023 2024

2020, vol.31, no.1 2020, vol.31, no.2 2020, vol.31, no.3 2020, vol.31, no.4 2020, vol.31, no.5 2020, vol.31, no.6
2020, vol.31, no.7 2020, vol.31, no.8

题名作者出版年年卷期
Monitoring of a machining process using kernel principal component analysis and kernel density estimationLee, Wo Jae; Mendis, Gamini P.; Triebe, Matthew J.; Sutherland, John W.20202020, vol.31, no.5
Control of weld penetration depth using relative fluctuation coefficient as feedbackZou, Shuangyang; Wang, Zhijiang; Hu, Shengsun; Wang, Wandong; Cao, Yue20202020, vol.31, no.5
Effective automatic defect classification process based on CNN with stacking ensemble model for TFT-LCD panelKim, Myeongso; Lee, Minyoung; An, Minjeong; Lee, Hongchul20202020, vol.31, no.5
Timely chatter identification for robotic drilling using a local maximum synchrosqueezing-based methodTao, Jianfeng; Qin, Chengjin; Xiao, Dengyu; Shi, Haotian; Ling, Xiao; Li, Bingchu; Liu, Chengliang20202020, vol.31, no.5
Image synthesis in contrast MRI based on super resolution reconstruction with multi-refinement cycle-consistent generative adversarial networksWu, Kun; Qiang, Yan; Song, Kai; Ren, Xueting; Yang, WenKai; Zhang, Wanjun; Hussain, Akbar; Cui, Yanfen20202020, vol.31, no.5
An intelligent decision support system for production planning based on machine learningGonzalez Rodriguez, German; Gonzalez-Cava, Jose M.; Mendez Perez, Juan Albino20202020, vol.31, no.5
Towards defect monitoring for metallic additive manufacturing components using phased array ultrasonic testingChabot, A.; Laroche, N.; Carcreff, E.; Rauch, M.; Hascoet, J. -Y.20202020, vol.31, no.5
A novel learning-based feature recognition method using multiple sectional view representationShi, Peizhi; Qi, Qunfen; Qin, Yuchu; Scott, Paul J.; Jiang, Xiangqian20202020, vol.31, no.5
Identification and classification of materials using machine vision and machine learning in the context of industry 4.0Muthuswamy, Sreekumar; Karumbu, Premkumar; Penumuru, Durga Prasad20202020, vol.31, no.5
Supervised feature learning by adversarial autoencoder approach for object classification in dual X-ray image of luggageChouai, Mohamed; Merah, Mostefa; Sancho-Gomez, Jose-Luis; Mimi, Malika20202020, vol.31, no.5
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