523   Artículos

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en línea
Yuefeng Liu and Jiayi Yao    
Urban catering systems constitute an important subsystem of the complex urban system. They can reveal not only the impact of urban functional structure on the catering but also the behavioral patterns of individual catering points through the exploration... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Shahab Saquib Sohail, Asfia Aziz, Rashid Ali, Syed Hamid Hasan, Dag Øivind Madsen and M. Afshar Alam    
In this paper, we propose an approach to recommender systems that incorporates human-centric aggregation via Ordered Weighted Aggregation (OWA) to prioritize the suggestions of expert rankers over the usual recommendations. We advocate for ranked recomme... ver más
Revista: Applied System Innovation    Formato: Electrónico

 
en línea
Jong Seok Lee and Hyun Il Choi    
As severe flood damages have been increasing due to climate change, the flood vulnerability assessment is needed in the flood mitigation plans to cope with climate-related flood disasters. Since the Intergovernmental Panel on Climate Change Third Assessm... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Sergey Sakulin and Alexander Alfimtsev    
The modern tourist industry is characterized by an abundance of applied multicriteria decision-making tasks. Several researchers have demonstrated that such tasks can be effectively resolved using aggregation operators based on fuzzy integrals and fuzzy ... ver más
Revista: Applied System Innovation    Formato: Electrónico

 
en línea
Wenbo Zhang, Yuchen Zhao, Fangjing Li and Hongbo Zhu    
Federated learning is currently a popular distributed machine learning solution that often experiences cumbersome communication processes and challenging model convergence in practical edge deployments due to the training nature of its model information ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Chenfang Zhang, Yong Gan and Ruisen Yang    
The main steps in a graph neural network are message propagation and aggregation between nodes. Message propagation allows messages from distant nodes in the graph to be transmitted to the central node, while feature aggregation allows the central node t... ver más
Revista: Information    Formato: Electrónico

 
en línea
Penglong Li, Zuoqin Shi, Yi Ding, Ling Zhao, Zezhong Ma, He Xiao and Haifeng Li    
Museum cultural relics represent a special material cultural heritage, and modern interpretations of them are needed in current society. Based on the catalogue data of cultural relics published by the State Administration of Cultural Heritage, this paper... ver más
Revista: Information    Formato: Electrónico

 
en línea
Zhikang Lu and Jun Ye    
Single-valued neutrosophic numbers (SVNNs) can express incomplete, indeterminate, and inconsistent information in the real world. Then, the common weighted aggregation operators of SVNNs may result in unreasonably aggregated results in some situations. B... ver más
Revista: Information    Formato: Electrónico

 
en línea
Ruoyang Li, Shuping Xiong, Yinchao Che, Lei Shi, Xinming Ma and Lei Xi    
Semantic segmentation algorithms leveraging deep convolutional neural networks often encounter challenges due to their extensive parameters, high computational complexity, and slow execution. To address these issues, we introduce a semantic segmentation ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Sijie Liu, Nan Zhou, Chenchen Song, Geng Chen and Yafeng Wu    
This research introduces the Enhanced Scale-Aware efficient Transformer (ESAE-Transformer), a novel and advanced model dedicated to predicting Exhaust Gas Temperature (EGT). The ESAE-Transformer merges the Multi-Head ProbSparse Attention mechanism with t... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Zhengjian Tian, Maolin Li, Takuya Sugimoto and Motoyoshi Kobayashi    
To clarify the effect of proteins on the charging and aggregation?dispersion characteristics of oxidized carbon nanohorn (CNHox), we measured the electrophoretic mobility and stability ratios as a function of concentrations of a model protein, lysozyme (... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Muhammad Nafees Ulfat Khan, Weiping Cao, Zhiling Tang, Ata Ullah and Wanghua Pan    
The rapid development of the Internet of Things (IoT) has opened the way for transformative advances in numerous fields, including healthcare. IoT-based healthcare systems provide unprecedented opportunities to gather patients? real-time data and make ap... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Martin Kenyeres and Jozef Kenyeres    
Consensus-based data aggregation in d-regular bipartite graphs poses a challenging task for the scientific community since some of these algorithms diverge in this critical graph topology. Nevertheless, one can see a lack of scientific studies dealing wi... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Abdu Salam, Qaisar Javaid, Masood Ahmad, Ishtiaq Wahid and Muhammad Yeasir Arafat    
Multiple unmanned aerial vehicles (UAVs) are organized into clusters in a flying sensor network (FSNet) to achieve scalability and prolong the network lifetime. There are a variety of optimization schemes that can be adapted to determine the cluster head... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Zacharias Anastasakis, Terpsichori-Helen Velivassaki, Artemis Voulkidis, Stavroula Bourou, Konstantinos Psychogyios, Dimitrios Skias and Theodore Zahariadis    
Federated Learning is identified as a reliable technique for distributed training of ML models. Specifically, a set of dispersed nodes may collaborate through a federation in producing a jointly trained ML model without disclosing their data to each othe... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Liangkun Yu, Xiang Sun, Rana Albelaihi and Chen Yi    
Federated learning (FL) is a collaborative machine-learning (ML) framework particularly suited for ML models requiring numerous training samples, such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Random Forest, in the co... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Lixia He, Jiangfeng She, Qiang Zhao, Xiang Wen and Yuzheng Guan    
In a point cloud semantic segmentation task, misclassification usually appears on the semantic boundary. A few studies have taken the boundary into consideration, but they relied on complex modules for explicit boundary prediction, which greatly increase... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Luzhi Li, Yuhong Zhao, Jingyu Wang and Chuanting Zhang    
Wireless traffic prediction is critical to the intelligent operation of cellular networks, such as load balancing, congestion control, value-added service promotion, etc. However, the BTS data in each region has certain differences and privacy, and centr... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Jing Chen, Gang Zhou, Jicang Lu, Shiyu Wang and Shunhang Li    
Fake news detection has become a significant topic based on the fast-spreading and detrimental effects of such news. Many methods based on deep neural networks learn clues from claim content and message propagation structure or temporal information, whic... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Jiewen Huang and Ying Yang    
Inlight of the extensive utilization of automated machining centers, the operation and maintenance level and efficiency of machining centers require further enhancement. In our work, an anomaly detection model is proposed to detect the operation executio... ver más
Revista: Applied Sciences    Formato: Electrónico

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