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Onur Dogan, Ejder Ayçin, Zeki Atil Bulut
Pág. 1 - 19
In today?s business environment companies should need better understanding on customers? data. Detecting similarities and differences among customers, predicting their behaviors, proposing better options and opportunities to customers, etc. became very i...
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Abiodun M. Ikotun and Absalom E. Ezugwu
Automatic clustering problems require clustering algorithms to automatically estimate the number of clusters in a dataset. However, the classical K-means requires the specification of the required number of clusters a priori. To address this problem, met...
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Jyoti Mor,Naresh Kumar,Dinesh Rai
The web is changing momentarily which makes it very difficult for the user to retrieve relevant results as per the given query. Clustering is a technique to organize search results in a way so that same search results are associated only with one cluster...
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Kegong Shi, Jinjin Yan and Jinquan Yang
Reasonable semantic partition of indoor areas can improve space utilization, optimize property management, and enhance safety and convenience. Existing algorithms for such partitions have drawbacks, such as the inability to consider semantics, slow conve...
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Nattakan Supajaidee, Nawinda Chutsagulprom and Sompop Moonchai
Ordinary kriging (OK) is a popular interpolation method for its ability to simultaneously minimize error variance and deliver statistically optimal and unbiased predictions. In this work, the adaptive moving window kriging with K-means clustering (AMWKK)...
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Miranda Bellezza, Azzurra di Palma and Andrea Frosini
Alzheimer?s disease (AD) is a neurodegenerative disorder that leads to the loss of cognitive functions due to the deterioration of brain tissue. Current diagnostic methods are often invasive or costly, limiting their widespread use. Developing non-invasi...
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Retno Kusumaningrum, Selvi Fitria Khoerunnisa, Khadijah Khadijah and Muhammad Syafrudin
The mangrove ecosystem is crucial for addressing climate change and supporting marine life. To preserve this ecosystem, understanding community awareness is essential. While latent Dirichlet allocation (LDA) is commonly used for this, it has drawbacks su...
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Sejeong Kim and Jongho Park
Recently, an Unmanned Aerial Vehicle (UAV)-based Wireless Sensor Network (WSN) for data collection was proposed. Multiple UAVs are more effective than a single UAV in wide WSNs. However, in this scenario, many factors must be considered, such as collisio...
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Jinya Xu, Jiaye Gong, Luyao Wang and Yunbo Li
The stability of navigation in waves is crucial for ships, and the effect of the waves on navigation stability is complicated. Hence, the LSTM neural network technique is applied to predict the course changing of a ship in different wave conditions, wher...
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Jongseo Park and Minjoo Choi
Defining the appropriate functional requirements in the early ship design stage is important in order that costs that are caused by the over- or under-specified functional capabilities do not increase. This paper presents a K-means clustering algorithm f...
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Yuyao Liu, Wei Chen, Yu Chen, Wen Chen, Lina Ma and Zhou Meng
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Jin Xu, Xinxiang Pan, Baozhu Jia, Xuerui Wu, Peng Liu and Bo Li
Oil spill accidents have seriously harmed the marine environment. Effective oil spill monitoring can provide strong scientific and technological support for emergency response of law enforcement departments. Shipborne radar can be used to monitor oil spi...
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Loai Abdallah, Murad Badarna, Waleed Khalifa and Malik Yousef
In the computational biology community there are many biological cases that are considered as multi-one-class classification problems. Examples include the classification of multiple tumor types, protein fold recognition and the molecular classification ...
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Qibing Jin, Nan Lin and Yuming Zhang
K-Means Clustering is a popular technique in data analysis and data mining. To remedy the defects of relying on the initialization and converging towards the local minimum in the K-Means Clustering (KMC) algorithm, a chaotic adaptive artificial bee colon...
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Nicola Altini, Giuseppe De Giosa, Nicola Fragasso, Claudia Coscia, Elena Sibilano, Berardino Prencipe, Sardar Mehboob Hussain, Antonio Brunetti, Domenico Buongiorno, Andrea Guerriero, Ilaria Sabina Tatò, Gioacchino Brunetti, Vito Triggiani and Vitoantonio Bevilacqua
The accurate segmentation and identification of vertebrae presents the foundations for spine analysis including fractures, malfunctions and other visual insights. The large-scale vertebrae segmentation challenge (VerSe), organized as a competition at the...
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Raden Gunawan Santosa,Yuan Lukito,Antonius Rachmat Chrismanto
Pág. 1 - 10
Background: Student admission at universities aims to select the best candidates who will excel and finish their studies on time. There are many factors to be considered in student admission. To assist the process, an intelligent model is needed to spot ...
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Raden Gunawan Santosa,Yuan Lukito,Antonius Rachmat Chrismanto
Pág. 1 - 10
Background: Student admission at universities aims to select the best candidates who will excel and finish their studies on time. There are many factors to be considered in student admission. To assist the process, an intelligent model is needed to spot ...
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Gita Muditha Kario,Endang Amalia
Pág. 20 - 27
The tourism sector plays an active role in economic growth for a country. Indonesia, which is one of the ASEAN states, shows that the role of tourism is one of the important sectors in the economy in Indonesia. However, the influence of the tourism secto...
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Gita Muditha Kario,Endang Amalia
Pág. 20 - 27
The tourism sector plays an active role in economic growth for a country. Indonesia, which is one of the ASEAN states, shows that the role of tourism is one of the important sectors in the economy in Indonesia. However, the influence of the tourism secto...
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Wenbing Chang, Xinpeng Ji, Yinglai Liu, Yiyong Xiao, Bang Chen, Houxiang Liu and Shenghan Zhou
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