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Static-based early-damage detection using symbolic data analysis and unsupervised learning methods
João Pedro SANTOS,Christian CREMONA,André D. ORCESI,Paulo SILVEIRA,Luis CALADO
《结构与土木工程前沿(英文)》 2015年 第9卷 第1期 页码 1-16 doi: 10.1007/s11709-014-0277-3
关键词: structural health monitoring early-damage detection principal component analysis symbolic data symbolic dissimilarity measures cluster analysis numerical model damage simulations
Bridging the gap: Neuro-Symbolic Computing for advanced AI applications in construction
《工程管理前沿(英文)》 页码 727-735 doi: 10.1007/s42524-023-0266-0
关键词: advanced AI in construction safety and quality inspection Neuro-Symbolic Computing Deep Learning computer vision
郑维山,邓青,刘朝霞,时龙兴
《中国工程科学》 2009年 第11卷 第4期 页码 50-56
在CMOS单元电路自动优化中提出了一个新的设计方法。此方法采用符号分析技术自动生成描述电路性能的精确解析方程,进而将性能符号方程作为遗传优化算法中的评价电路性能的准则。对于固定拓扑的电路,遗传优化算法通过寻优过程产生满足性能约束的电路设计参数集,从而实现设计者所希望的设计目标。实际电路的优化结果表明此方法能较好地满足性能要求,同时所需的设计时间较短,从而说明该方法是一个具有灵活性和可靠性的设计方法。
Symbolic representation based on trend features for knowledge discovery in long time series
Hong YIN,Shu-qiang YANG,Xiao-qian ZHU,Shao-dong MA,Lu-min ZHANG
《信息与电子工程前沿(英文)》 2015年 第16卷 第9期 页码 744-758 doi: 10.1631/FITEE.1400376
关键词: Long time series Segmentation Trend features Symbolic Knowledge discovery
Modified condition/decision coverage (MC/DC) oriented compiler optimization for symbolic execution
Wei-jiang Hong, Yi-jun Liu, Zhen-bang Chen, Wei Dong, Ji Wang,zbchen@nudt.edu.cn,wdong@nudt.edu.cn,wj@nudt.edu.cn
《信息与电子工程前沿(英文)》 2020年 第21卷 第9期 页码 1267-1412 doi: 10.1631/FITEE.1900213
A review of systematic evaluation and improvement in the big data environment
Feng YANG, Manman WANG
《工程管理前沿(英文)》 2020年 第7卷 第1期 页码 27-46 doi: 10.1007/s42524-020-0092-6
关键词: big data evaluation methods systematic improvement big data analytic techniques data mining
《环境科学与工程前沿(英文)》 2023年 第17卷 第8期 doi: 10.1007/s11783-023-1694-0
● Data quality assessment criteria for MP/NPs in food products were developed.
关键词: Microplastic Nanoplastic Food products Data quality Human health risk
Blockchain application in healthcare service mode based on Health Data Bank
Jianxia GONG, Lindu ZHAO
《工程管理前沿(英文)》 2020年 第7卷 第4期 页码 605-614 doi: 10.1007/s42524-020-0138-9
关键词: Health Data Bank blockchain data assets smart contract incentive mechanism
Challenges to Engineering Management in the Big Data Era
Yong Shi
《工程管理前沿(英文)》 2015年 第2卷 第3期 页码 293-303 doi: 10.15302/J-FEM-2015042
关键词: big data data science intelligent knowledge engineering management real-life applications
Intelligent data analytics is here to change engineering management
Jonathan Jingsheng SHI, Saixing ZENG, Xiaohua MENG
《工程管理前沿(英文)》 2017年 第4卷 第1期 页码 41-48 doi: 10.15302/J-FEM-2017003
关键词: engineering management project management big data data analytics planning execution
Special issue: Innovative applications of big data and artificial intelligence
《工程管理前沿(英文)》 2022年 第9卷 第4期 页码 517-519 doi: 10.1007/s42524-022-0234-0
Anensemble method for data stream classification in the presence of concept drift
Omid ABBASZADEH,Ali AMIRI,Ali Reza KHANTEYMOORI
《信息与电子工程前沿(英文)》 2015年 第16卷 第12期 页码 1059-1068 doi: 10.1631/FITEE.1400398
关键词: Data stream Classificaion Ensemble classifiers Concept drift
Nicolas MUNIER-JOLAIN, Martin LECHENET
《农业科学与工程前沿(英文)》 2020年 第7卷 第1期 页码 21-27 doi: 10.15302/J-FASE-2019292
Redesigning cropping and farming systems to enhance their sustainability is mainly addressed in scientific studies using experimental and modeling approaches. Large data sets collected from real farms allow for the development of innovative methods to produce generic knowledge. Data mining methods allow for the diversity of systems to be considered holistically and can take into account the diversity of production contexts to produce site-specific results. Based on the very few known studies using such methods to analyze the crop management strategies affecting pesticide use and their effect on farm performance, we advocate further investment in the development of large data sets that can support future research programs on farming system design.
关键词: data mining holistic Integrated Pest Management economics DEPHY network.
《能源前沿(英文)》 doi: 10.1007/s11708-023-0912-6
关键词: model predictive control interconnected data center multi-timescale optimized scheduling distributed power supply landscape uncertainty
Big data and machine learning: A roadmap towards smart plants
《工程管理前沿(英文)》 页码 623-639 doi: 10.1007/s42524-022-0218-0
关键词: big data machine learning artificial intelligence smart sensor cyber–physical system Industry 4.0 intelligent system digitalization
标题 作者 时间 类型 操作
Static-based early-damage detection using symbolic data analysis and unsupervised learning methods
João Pedro SANTOS,Christian CREMONA,André D. ORCESI,Paulo SILVEIRA,Luis CALADO
期刊论文
Symbolic representation based on trend features for knowledge discovery in long time series
Hong YIN,Shu-qiang YANG,Xiao-qian ZHU,Shao-dong MA,Lu-min ZHANG
期刊论文
Modified condition/decision coverage (MC/DC) oriented compiler optimization for symbolic execution
Wei-jiang Hong, Yi-jun Liu, Zhen-bang Chen, Wei Dong, Ji Wang,zbchen@nudt.edu.cn,wdong@nudt.edu.cn,wj@nudt.edu.cn
期刊论文
A review of systematic evaluation and improvement in the big data environment
Feng YANG, Manman WANG
期刊论文
Data quality assessment for studies investigating microplastics and nanoplastics in food products: Arecurrent data reliable?
期刊论文
Blockchain application in healthcare service mode based on Health Data Bank
Jianxia GONG, Lindu ZHAO
期刊论文
Intelligent data analytics is here to change engineering management
Jonathan Jingsheng SHI, Saixing ZENG, Xiaohua MENG
期刊论文
Anensemble method for data stream classification in the presence of concept drift
Omid ABBASZADEH,Ali AMIRI,Ali Reza KHANTEYMOORI
期刊论文
Methodological considerations for redesigning sustainable cropping systems: the value of data-mininglarge and detailed farm data sets at the cropping system level
Nicolas MUNIER-JOLAIN, Martin LECHENET
期刊论文
Multi-timescale optimization scheduling of interconnected data centers based on model predictive control
期刊论文