|
|
|
|
|
Pornrawee Tatit, Kiki Adhinugraha and David Taniar
Using spatial data in mobile applications has grown significantly, thereby empowering users to explore locations, navigate unfamiliar areas, find transportation routes, employ geomarketing strategies, and model environmental factors. Spatial databases ar...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yaxin Wang, Qi Liu, Jie Yang, Guihong Ren, Wenqi Wang, Wuping Zhang and Fuzhong Li
To address the current problem of the difficulty of extracting the phenotypic parameters of tomato plants in a non-destructive and accurate way, we proposed a method of stem and leaf segmentation and phenotypic extraction of tomato plants based on skelet...
ver más
|
|
|
|
|
|
|
|
|
|
|
Na Wei, Yuxin Peng, Kunming Lu, Guixing Zhou, Xingtao Guo and Minghui Niu
The parallel reservoirs in the upper reach of the Hanjiang River are key projects for watershed management, development, and protection. The optimal operation of parallel reservoirs is a multiple-stage, multiple-objective, and multiple-decision attribute...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shahbaz Sikandar, Rabbia Mahum and AbdulMalik Alsalman
The multimedia content generated by devices and image processing techniques requires high computation costs to retrieve images similar to the user?s query from the database. An annotation-based traditional system of image retrieval is not coherent becaus...
ver más
|
|
|
|
|
|
|
|
|
|
|
Keyju Lee and Junjae Chae
The vehicle routing problem (VRP) attempts to find optimal (minimum length) routes for a set of vehicles visiting a set of locations. Solving a VRP calls for a cost matrix between locations. The size of the matrix grows quadratically with an increasing n...
ver más
|
|
|
|
|
|
|
|
|
|
|
Masahito Kumagai, Kazuhiko Komatsu, Masayuki Sato and Hiroaki Kobayashi
Combinatorial clustering based on the Ising model is drawing attention as a high-quality clustering method. However, conventional Ising-based clustering methods using the Euclidean distance cannot handle irregular data. To overcome this problem, this pap...
ver más
|
|
|
|
|
|
|
|
|
|
|
Guzel Shkaberina, Natalia Rezova, Elena Tovbis and Lev Kazakovtsev
Finding the cluster structure is essential for analyzing self-organized networking structures, such as social networks. In such problems, a wide variety of distance measures can be used. Common clustering methods often require the number of clusters to b...
ver más
|
|
|
|
|
|
|
|
|
|
|
Panos Nikitas and Efthymia Nikita
This paper assesses algorithms proposed for constructing confidence ellipses in multidimensional scaling (MDS) solutions and proposes a new approach to interpreting these confidence ellipses via hierarchical cluster analysis (HCA). It is shown that the m...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sheng-Chieh Chang, Wei-Ching Chuang and Jin-Tsong Jeng
Symbolic interval data analysis (SIDA) has been successfully applied in a wide range of fields, including finance, engineering, and environmental science, making it a valuable tool for many researchers for the incorporation of uncertainty and imprecision...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiawei Ye, Lihong Zhao, Shuang Liu, Peiwei Wu and Jintao Cai
In response to the lack of plasma bag-breaking equipment and time-consuming manual recovery of plasma in China, this study focuses on the distal end cutting of a plasma bag residual-input tube and designs a machine-vision-based plasma bag residual-input ...
ver más
|
|
|
|
|
|