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María-Luisa Pérez-Delgado
This article presents a color quantization technique that combines two previously proposed approaches: the Binary splitting method and the Iterative ant-tree for color quantization method. The resulting algorithm can obtain good quality images with low t...
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Woojin Song and Jaesung Park
In this paper, we propose a channel assignment method that can mitigate the inter-WBAN interference when the density of WBANs is high. To achieve the goal, we group the coexisting WBANs into a set of clusters by using the Louvain algorithm and allocate d...
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Petro Lizunov,Andrii Biloshchytskyi,Alexander Kuchansky,Yurii Andrashko,Svitlana Biloshchytska
Pág. 6 - 14
For the problem of formation of project teams, in particular, scientific research project groups, there was proposed the comprehensive method, which consists of the two-stage method for clustering the graph of citation of scientists» publications and the...
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Hansoo Lee and Sungshin Kim
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Song Chen, Fuhao Zhang, Zhiran Zhang, Siyi Yu, Agen Qiu, Shangqin Liu and Xizhi Zhao
Spatial clustering is dependent on spatial scales. With the widespread use of web maps, a fast clustering method for multi-scale spatial elements has become a new requirement. Therefore, to cluster and display elements rapidly at different spatial scales...
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Zhiwei He, Mingyu Gao, Guojin Ma, Yuanyuan Liu and Lijun Tang
Battery grouping is a technology widely used to improve the performance of battery packs. In this paper, we propose a time series clustering based battery grouping method. The proposed method utilizes the whole battery charge/discharge sequence for batte...
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Syed Adil Hussain, Muhammad Umair Hassan, Wajeeha Nasar, Sara Ghorashi, Mona M. Jamjoom, Abdel-Haleem Abdel-Aty, Amna Parveen and Ibrahim A. Hameed
The analysis of individuals? movement behaviors is an important area of research in geographic information sciences, with broad applications in smart mobility and transportation systems. Recent advances in information and communication technologies have ...
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Zhicheng Deng, Xiangting You, Zhaoyang Shi, Hong Gao, Xu Hu, Zhaoyuan Yu and Linwang Yuan
The study of urban functional zoning is not only important for analyzing urban spatial structure but also for optimizing urban management and promoting scientific urban planning. Different areas undertaking different urban functions correspond to differe...
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Chan-Uk Yeom and Keun-Chang Kwak
We propose an adaptive neuro-fuzzy inference system (ANFIS) with an incremental tree structure based on a context-based fuzzy C-means (CFCM) clustering process. ANFIS is a combination of a neural network with the ability to learn, adapt and compute, and ...
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M. S. Pishvaee,M. Fathi,F. Jolai
AbstractIn today?s rapid changing market situations, many nations and companies try to keep or make better their situation and gain more market share by creating competitive advantages. Because of growing number of uncertain parameters in the environment...
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M. S. Pishvaee,M. Fathi,F. Jolai
AbstractIn today?s rapid changing market situations, many nations and companies try to keep or make better their situation and gain more market share by creating competitive advantages. Because of growing number of uncertain parameters in the environment...
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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...
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Ibrahim Atli, Metin Ozturk, Gianluca C. Valastro and Muhammad Zeeshan Asghar
A communication system based on unmanned aerial vehicles (UAVs) is a viable alternative for meeting the coverage and capacity needs of future wireless networks. However, because of the limitations of UAV-enabled communications in terms of coverage, energ...
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Raffaele Albano
Three-dimensional (3D) reconstruction techniques are increasingly used to obtain 3D representations of buildings due to the broad range of applications for 3D city models related to sustainability, efficiency and resilience (i.e., energy demand estimatio...
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Sijie Liu, Xinyu Liu and Pei Lu
Nowadays, sensor-based air pollution sensing systems are widely deployed for fine-grained pollution monitoring. In-field calibration plays an important role in maintaining sensory data quality. Determining the model structure is challenging using existin...
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Long-Xiao Luo, Zhong-Yi Sun and Zheng-Hong Tan
Climatic seasonality has lacked research attention in terms of global tropical forests, where it impacts vegetation productivity, biodiversity, and hydrological cycles. This study employs two methods?climatological anomalous accumulation (CAA) and potent...
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Xinhua Wang, Yuchen Wang, Lei Guo, Liancheng Xu, Baozhong Gao, Fangai Liu and Wei Li
Digital library as one of the most important ways in helping students acquire professional knowledge and improve their professional level has gained great attention in recent years. However, its large collection (especially the book resources) hinders st...
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Yadong Yang, Xiaofeng Wang, Quan Zhao and Tingting Sui
The focus of fine-grained image classification tasks is to ignore interference information and grasp local features. This challenge is what the visual attention mechanism excels at. Firstly, we have constructed a two-level attention convolutional network...
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Meryem Ayach, Hajar Lazar, Christel Lamat, Abderrahim Bousouis, Meryem Touzani, Youssouf El Jarjini, Ilias Kacimi, Vincent Valles, Laurent Barbiero and Moad Morarech
The number and diversity of groundwater bodies (GWBs) in large French administrative regions pose challenges to their monitoring and protection by regional health agencies. To overcome this obstacle, we propose, for the Auvergne-Rhône-Alpes region (about...
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Wenhai Cheng, Qunying Zhang, Jiaming Dong, Haiying Wang and Xiaojun Liu
Resolution and mapping bandwidth are the two most important image performance indicators that reflect satellite synthetic aperture radar (SAR) imaging reconnaissance capability. The PRI-staggered signal can simultaneously achieve high resolution in azimu...
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