93   Artículos

 
en línea
Md Easin Hasan and Amy Wagler    
Neuroimaging experts in biotech industries can benefit from using cutting-edge artificial intelligence techniques for Alzheimer?s disease (AD)- and dementia-stage prediction, even though it is difficult to anticipate the precise stage of dementia and AD.... ver más
Revista: AI    Formato: Electrónico

 
en línea
Yuting Chen, Pengjun Zhao, Yi Lin, Yushi Sun, Rui Chen, Ling Yu and Yu Liu    
Precise identification of spatial unit functional features in the city is a pre-condition for urban planning and policy-making. However, inferring unknown attributes of urban spatial units from data mining of spatial interaction remains a challenge in ge... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Kexiang Qian, Hongyu Yang, Ruyu Li, Weizhe Chen, Xi Luo and Lihua Yin    
With the rapid growth of IoT devices, the threat of botnets is becoming increasingly worrying. There are more and more intelligent detection solutions for botnets that have been proposed with the development of artificial intelligence. However, due to th... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Zengyu Cai, Chunchen Tan, Jianwei Zhang, Liang Zhu and Yuan Feng    
As network technology continues to develop, the popularity of various intelligent terminals has accelerated, leading to a rapid growth in the scale of wireless network traffic. This growth has resulted in significant pressure on resource consumption and ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Haiqiang Yang and Zihan Li    
The objective imbalance between the taxi supply and demand exists in various areas of the city. Accurately predicting this imbalance helps taxi companies with dispatching, thereby increasing their profits and meeting the travel needs of residents. The ap... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Chin-Yi Chen and Jih-Jeng Huang    
Traditional movie recommendation systems are increasingly falling short in the contemporary landscape of abundant information and evolving user behaviors. This study introduced the temporal knowledge graph recommender system (TKGRS), a ground-breaking al... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Xiaofeng Xu, Pengcheng Liu and Mingwu Guo    
Drainage network pattern recognition is a significant task with wide applications in geographic information mining, map cartography, water resources management, and urban planning. Accurate identification of spatial patterns in river networks can help us... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Enyu Yu, Yan Fu, Junlin Zhou, Hongliang Sun and Duanbing Chen    
Many real-world systems can be expressed in temporal networks with nodes playing different roles in structure and function, and edges representing the relationships between nodes. Identifying critical nodes can help us control the spread of public opinio... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Angelo Casolaro, Vincenzo Capone, Gennaro Iannuzzo and Francesco Camastra    
A time series is a sequence of time-ordered data, and it is generally used to describe how a phenomenon evolves over time. Time series forecasting, estimating future values of time series, allows the implementation of decision-making strategies. Deep lea... ver más
Revista: Information    Formato: Electrónico

 
en línea
Petros Brimos, Areti Karamanou, Evangelos Kalampokis and Konstantinos Tarabanis    
Traffic forecasting has been an important area of research for several decades, with significant implications for urban traffic planning, management, and control. In recent years, deep-learning models, such as graph neural networks (GNN), have shown grea... ver más
Revista: Information    Formato: Electrónico

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