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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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Amna Al-Sayed, Mashael M. Khayyat and Nuha Zamzami
Different data types are frequently included in clinical data. Applying machine learning algorithms to mixed data can be difficult and impact the output accuracy and quality. This paper proposes a hybrid model of unsupervised and supervised learning tech...
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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...
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Zheng Lyu, Qun Sun, Jingzhen Ma, Qing Xu, Yuanfu Li and Fubing Zhang
Residential areas and road networks have a strong geographical correlation. The development of a single geographical feature could destroy the geographical correlation. It is necessary to establish collaborative generalization models suitable for multipl...
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Ming Zhang, Jielin Wu, Yang Liu, Ji Zhang and Guanyao Li
Traditional urban design is time-consuming and laborious. We propose a computer-generated architecture (CGA)-based workflow in this work, with the goal of allowing designers to take advantage of a high level of automation. This workflow is based on proce...
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Xiao Zhou, Jiangpeng Tian, Jian Peng and Mingzhan Su
Tourist attraction and tour route recommendation are the key research highlights in the field of smart tourism. Currently, the existing recommendation algorithms encounter certain problems when making decisions regarding tourist attractions and tour rout...
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Elena Gangan,Milos Kudus,Eugene Ilyushin
Pág. 12 - 27
The main goal of this paper is to introduce the reader to the multiarmed bandit algorithms of different types and to observe how the industry leveraged them in advancing recommendation systems. We present the current state of the art in RecSys and then ...
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Animesh Chandra Roy, Mohammad Shamsul Arefin, A. S. M. Kayes, Mohammad Hammoudeh and Khandakar Ahmed
The rapid growth of Global Positioning System (GPS) and availability of real-time Geo-located data allow the mobile devices to provide information which leads towards the Location Based Services (LBS). The need for providing suggestions to personals abou...
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Soroush Ojagh, Mohammad Reza Malek and Sara Saeedi
Providing recommendations in cold start situations is one of the most challenging problems for collaborative filtering based recommender systems (RSs). Although user social context information has largely contributed to the cold start problem, most of th...
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Lin Zhang, Yian Zhu and Xianchen Shi
Unmanned aerial vehicles (UAVs) received an unprecedented surge of people?s interest worldwide in recent years. This paper investigates the specific problem of cooperative mission planning for multiple UAVs on the battlefield from a hierarchical decision...
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