中国机械工程学会生产工程分会知识服务平台

期刊


ISSN0219-1377
刊名Knowledge and information systems
参考译名知识和信息系统
收藏年代2000~2024



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2000 2001 2002 2003 2004 2005
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2012 2013 2014 2015 2016 2017
2018 2019 2020 2021 2022 2023
2024

2023, vol.65, no.1 2023, vol.65, no.10 2023, vol.65, no.11 2023, vol.65, no.12 2023, vol.65, no.2 2023, vol.65, no.3
2023, vol.65, no.4 2023, vol.65, no.5 2023, vol.65, no.6 2023, vol.65, no.7 2023, vol.65, no.8 2023, vol.65, no.9

题名作者出版年年卷期
Interactive reinforced feature selection with traverse strategyLiu, Kunpeng; Wang, Dongjie; Du, Wan; Wu, Dapeng Oliver; Fu, Yanjie20232023, vol.65, no.5
Selection of browsers for smartphones: a fuzzy hybrid approach and machine learning techniqueArunagiri, Ramathilagam; Pandian, Pitchipoo; Krishnasamy, Valarmathi; Ramasamy, Ramani; Sivaprakasam, Rajakarunakaran20232023, vol.65, no.5
A jointly non-cooperative game-based offloading and dynamic service migration approach in mobile edge computingLi, Chunlin; Zhang, Qingzhe; Luo, Youlong20232023, vol.65, no.5
Ultra-fast meta-parameter optimization for time series similarity measures with application to nearest neighbour classificationTan, Chang Wei; Herrmann, Matthieu; Webb, Geoffrey I.20232023, vol.65, no.5
Falcon: lightweight and accurate convolution based on depthwise separable convolutionJang, Jun-Gi; Quan, Chun; Lee, Hyun Dong; Kang, U.20232023, vol.65, no.5
An integer linear programming model to improve the dependency graph discovery step of heuristics miner methodsTavakoli-Zaniani, Maryam; Gholamian, Mohammad Reza; Golpayegani, S. Alireza Hashemi; Ghazanfari, Mehdi20232023, vol.65, no.5
DAuCNet: deep autoregressive framework for temporal link prediction combining copy mechanism networkHou, Xiangning; Ma, Ruizhe; Yan, Li; Ma, Zongmin20232023, vol.65, no.5
A new approach to neutrosophic soft rough setsYolcu, Adem; Benek, Aysun; Ozturk, Taha Yasin20232023, vol.65, no.5
Using topic-noise models to generate domain-specific topics across data sourcesChurchill, Rob; Singh, Lisa20232023, vol.65, no.5
An in-depth and contrasting survey of meta-heuristic approaches with classical feature selection techniques specific to cervical cancerKurman, Sangeeta; Kisan, Sumitra20232023, vol.65, no.5
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