121   Artículos

 
en línea
Barbara Casentini, Marco Lazzazzara, Stefano Amalfitano, Rosamaria Salvatori, Daniela Guglietta, Daniele Passeri, Girolamo Belardi and Francesca Trapasso    
The worldwide mining industry produces millions of tons of rock wastes, raising a considerable burden for managing both economic and environmental issues. The possible reuse of Fe/Mn-rich materials for arsenic removal in water filtration units, along wit... ver más
Revista: Water    Formato: Electrónico

 
en línea
George Papageorgiou, Vangelis Sarlis and Christos Tjortjis    
This study utilized advanced data mining and machine learning to examine player injuries in the National Basketball Association (NBA) from 2000?01 to 2022?23. By analyzing a dataset of 2296 players, including sociodemographics, injury records, and financ... ver más
Revista: Information    Formato: Electrónico

 
en línea
Leon Kopitar, Iztok Fister, Jr. and Gregor Stiglic    
Introduction: Type 2 diabetes mellitus is a major global health concern, but interpreting machine learning models for diagnosis remains challenging. This study investigates combining association rule mining with advanced natural language processing to im... ver más
Revista: Information    Formato: Electrónico

 
en línea
Sevim Sezi Karayazi, Gamze Dane and Theo Arentze    
Understanding visitors? spatial choice behavior is important in developing effective policies to counteract overcrowdedness in attractive urban heritage areas. This research presents a comprehensive analysis of visitor location choice behavior, aiming to... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Yanan Wu, Yalin Yang and May Yuan    
Conventional spatiotemporal methods take frequentist or density-based approaches to map event clusters over time. While these methods discern hotspots of varying continuity in space and time, their findings overlook locations of routine occurrences where... ver más
Revista: Information    Formato: Electrónico

 
en línea
Frederick Petry and Ronald Yager    
This paper considers approaches to the computation of association rules for intuitionistic fuzzy data. Association rules can provide guidance for assessing the significant relationships that can be determined while analyzing data. The approach uses the c... ver más
Revista: Information    Formato: Electrónico

 
en línea
Aditya Singhal and Vijay Mago    
The use of Twitter by healthcare organizations is an effective means of disseminating medical information to the public. However, the content of tweets can be influenced by various factors, such as health emergencies and medical breakthroughs. In this st... ver más
Revista: Informatics    Formato: Electrónico

 
en línea
Reuben Tamakloe    
Studies have explored the factors influencing the safety of PTWs; however, very little has been carried out to comprehensively investigate the factors influencing fatal PTW crashes while considering the fault status of the rider in crash hotspot areas. T... ver más
Revista: Informatics    Formato: Electrónico

 
en línea
Jianfei Wang and Wen Cao    
In the era of big data, a significant volume of spatiotemporal data exists in a multiscale format, describing diverse phenomena in the objective world across different spatial and temporal scales. While existing methods focus on analyzing the features an... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Feifei Tao, Yanling Pi, Meng Zhang, Chi Yuan and Menghua Deng    
With the rapid development of water conservancy engineering and infrastructure construction, there are many safety hazards in the construction process of water conservancy engineering, so it is of great significance to study the potential hazards in the ... ver más
Revista: Water    Formato: Electrónico

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