Results 11 to 20 of about 3,182,929 (347)
Granular computing applied to ontologies
International Journal of Approximate Reasoning, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Silvia Calegari, Davide Ciucci
exaly +4 more sources
Research on the standardization strategy of granular computing
International Journal of Cognitive Computing in Engineering, 2023 As intelligent systems continue to evolve, problems are becoming increasingly complex. The constant abundance of data puts a higher demand on the value of data utilization.
Donghang Liu +7 more
doaj +2 more sources
Perspectives of granular computing [PDF]
2005 IEEE International Conference on Granular Computing, 2005 Granular computing emerges as a new multi-disciplinary study and has received much attention in recent years. A conceptual framework is presented by extracting shared commonalities from many fields. The framework stresses multiple views and multiple levels of understanding in each view. It is argued that granular computing is more about a philosophical
Yiyu Yao, Y. Yao
openaire +2 more sources
Proceedings of the Workshop on Hot Topics in Operating Systems, 2019 Granular computing is a new style of computing where applications are composed of large numbers (thousands to millions) of very short-lived (10-100μs) tasks. Today's systems and infrastructure were designed to support millisecond-scale operations and are inadequate to meet the demands of granular computing.
Collin Lee, John K. Ousterhout
openaire +2 more sources
A Logic Language of Granular Computing [PDF]
6th IEEE International Conference on Cognitive Informatics, 2007 Granular computing concerns human thinking and problem solving, as well as their implications to the design of knowledge intensive systems. It simplifies complex real world problems by considering different levels of granularity. Basic granules represent the elementary units of human knowledge.
Yiyu Yao, Bing Zhou 0002
openaire +2 more sources
Uncertainty quantification of granular computing-neural network model for prediction of pollutant longitudinal dispersion coefficient in aquatic streams. [PDF]
Sci Rep, 2022 Discharge of pollution loads into natural water systems remains a global challenge that threatens water and food supply, as well as endangering ecosystem services.
Ghiasi B +8 more
europepmc +2 more sources
Granular Computing in Intelligent Transportation: An Exploratory Study
Cybernetics and Information Technologies, 2015 With the continuous development of the cities, the traffic situation has gradually become a topic of concern. The concept of an intelligent transportation system has been proposed and developed.
Dewen Seng +3 more
doaj +2 more sources
Concept learning via granular computing: A cognitive viewpoint [PDF]
Information Sciences, 2015 Jinhai Li, Weihua Xu, Yuhua Qian
exaly +2 more sources
Fisher Score Fast Multi-Label Feature Selection Algorithm Based on Text Classification [PDF]
Jisuanji gongcheng, 2022 Fisher Score(FS) is a fast and efficient indicator to evaluate feature classification performance.However, the traditional FS indicator can not be directly applied to multi-label learning, nor effectively deal with the error between the class center and ...
WANG Zhengkai, SHEN Dongsheng, WANG Chenxi
doaj +1 more source
Video Tracking Method Using Multi-granularity Correlation Filters [PDF]
Jisuanji gongcheng, 2020 Video tracking is an important direction in research of computer vision.Many tracking algorithms achieve high performance by integrating multiple types of features,but most of them fail to fully exploit the granularity relationship between multiple ...
SHEN Zejun, DING Feifei, YANG Wenyuan
doaj +1 more source