Chao Chen^1,2, Yankun Chen³, Haohai Jin⁴, Li Chen^5,*, Zhisong Liu³, Haozhe Sun⁴, Junchi Hong⁴, Haonan Wang⁴, Shiyu Fang⁴, Xin Zhang²

Intelligent Automation & Soft Computing, Vol.39, No.1, pp. 113-114, 2024, DOI:10.32604/iasc.2024.051760 - 29 March 2024

Abstract This article has no abstract. More >

Chao Chen^1,2, Yankun Chen³, Haohai Jin⁴, Li Chen^5,*, Zhisong Liu³, Haozhe Sun⁴, Junchi Hong⁴, Haonan Wang⁴, Shiyu Fang⁴, Xin Zhang²

Intelligent Automation & Soft Computing, Vol.37, No.2, pp. 1655-1672, 2023, DOI:10.32604/iasc.2023.039057 - 21 June 2023

Abstract The acquisition of digital regional-scale information and ecological environmental data has high requirements for structural texture, spatial resolution, and multiple parameter categories, which is challenging to achieve using satellite remote sensing. Considering the convenient, facilitative, and flexible characteristics of UAV (unmanned air vehicle) remote sensing technology, this study selects a campus as a typical research area and uses the Pegasus D2000 equipped with a D-MSPC2000 multi-spectral camera and a CAM3000 aerial camera to acquire oblique images and multi-spectral data. Using professional software, including Context Capture, ENVI, and ArcGIS, a 3D (three-dimensional) campus model, a digital More >

Fangyu Ye¹, Xiaoshu Xu^2,*, Yunfeng Zhang³, Yan Ye⁴, Jingyu Dai^5,*

Intelligent Automation & Soft Computing, Vol.37, No.2, pp. 1257-1274, 2023, DOI:10.32604/iasc.2023.037057 - 21 June 2023

Abstract In order to Improvement the Neutrosophic sets as effective tools to deal with uncertain and inconsistent information. The research takes methodology of combined single-valued neutrosophic rough set and multi-scale decision systems. This paper proposes the optimal scale selection and reduction algorithms based on multi-scale single-valued neutrosophic dominance rough set model. User requirements were analyzed using KJ method to construct a hierarchical model. According to the statistics of representative studies from China and the West, we found that, on the one hand, classical theory has been expanded and supplemented in fashion culture communication and marketing. The… More >

Min Zhu^1,2,3,#, Huiyu Jin^1,#, Ruxue Chen¹, Quanyi Huang^2,3, Shaobo Zhong⁴, Guang Tian^1,*

Intelligent Automation & Soft Computing, Vol.26, No.5, pp. 1097-1109, 2020, DOI:10.32604/iasc.2020.010140

Abstract In a disaster, mass casualties lead to a surge in demand for medical services. Some relief actions have been criticized for being ill-adapted to dominating medical needs. This research established a disaster medical relief planning model in 3 steps. 1. Establishing the two-level conceptual model. 2. Using the ontology method to describe the hierarchy and relating rules of the terms and concepts associated with the model. 3. Using an ontology-support casebased reasoning approach to build the case similarity matching process, which can provide a more efficient system for decision support. A case study validated the More >