|
|
|
|
|
Yuanyou Ou and Baoning Niu
The dual-channel graph collaborative filtering recommendation algorithm (DCCF) suppresses the over-smoothing problem and overcomes the problem of expansion in local structures only in graph collaborative filtering. However, DCCF has the following problem...
ver más
|
|
|
|
|
|
|
|
|
|
|
Amit Banerjee and Issam Abu-Mahfouz
Fuzzy c-means (FCM), the fuzzy variant of the popular k-means, has been used for data clustering when cluster boundaries are not well defined. The choice of initial cluster prototypes (or the initialization of cluster memberships), and the fact that the ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Manoj Sindhwani, Shippu Sachdeva, Krishan Arora, Taehyun Yoon, Daeseung Yoo, Gyanendra Prasad Joshi and Woong Cho
The vehicular ad hoc network is an emerging area of technology that provides intelligent transportation systems with vast advantages and applications. Frequent disconnections between the vehicular nodes due to high-velocity vehicles impact network perfor...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jianjie Sun, Xi Chen, Zhengwu Fu and Giuseppe Lacidogna
In this study, the clustering method of the concrete matrix rupture and rubber fracture damages as well as the prediction of the ultimate load of crumb rubber concrete using the acoustic emission (AE) technique were investigated. The loading environment ...
ver más
|
|
|
|
|
|
|
|
|
|
|
María Consuelo Sáiz-Manzanares, Ismael Ramos Pérez, Adrián Arnaiz Rodríguez, Sandra Rodríguez Arribas, Leandro Almeida and Caroline Françoise Martin
In recent decades, the use of technological resources such as the eye tracking methodology is providing cognitive researchers with important tools to better understand the learning process. However, the interpretation of the metrics requires the use of s...
ver más
|
|
|
|
|
|
|
|
|
|
|
Diego A. Zaldivar, Andres A. Romero and Sergio R. Rivera
In every electric power system, power transformers (PT) play a critical role. Under ideal circumstances, PT should receive the utmost care to maintain the highest operative condition during their lifetime. Through the years, different approaches have bee...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zeynel Cebeci and Cagatay Cebeci
The goal of partitioning clustering analysis is to divide a dataset into a predetermined number of homogeneous clusters. The quality of final clusters from a prototype-based partitioning algorithm is highly affected by the initially chosen centroids. In ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Md Shahariar Alam, Md Mahbubur Rahman, Mohammad Amazad Hossain, Md Khairul Islam, Kazi Mowdud Ahmed, Khandaker Takdir Ahmed, Bikash Chandra Singh and Md Sipon Miah
In recent decades, human brain tumor detection has become one of the most challenging issues in medical science. In this paper, we propose a model that includes the template-based K means and improved fuzzy C means (TKFCM) algorithm for detecting human b...
ver más
|
|
|
|
|
|
|
|
|
|
|
Rolly Maulana Awangga, Syafrial Fachri Pane, Khaera Tunnisa
Pág. 44 - 54
Indonesian government agencies under the Ministry of Energy and Mineral Resources still use manual methods in determining and selecting proposals for operational activities to be carried out. This study uses the Decision Support System (DSS) method, name...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chantelle Y. Janse van Vuuren, Hendrik J. Vermeulen
This study investigates the use of clustering methodologies as a means of reducing spatio-temporal wind speed data into statistically representative classes of temporal profiles for further processing and interpretation. The clustering methodologies...
ver más
|
|
|
|
|
|