385   Artículos

 
en línea
Aristeidis Karras, Anastasios Giannaros, Christos Karras, Leonidas Theodorakopoulos, Constantinos S. Mammassis, George A. Krimpas and Spyros Sioutas    
In the context of the Internet of Things (IoT), Tiny Machine Learning (TinyML) and Big Data, enhanced by Edge Artificial Intelligence, are essential for effectively managing the extensive data produced by numerous connected devices. Our study introduces ... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Thanda Shwe and Masayoshi Aritsugi    
Intelligent applications in several areas increasingly rely on big data solutions to improve their efficiency, but the processing and management of big data incur high costs. Although cloud-computing-based big data management and processing offer a promi... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Shengyang Li, Zhen Wang and Wanfeng Zhang    
Cloud computing has become one of the key technologies used for big data processing and analytics. User management on cloud platforms is a growing challenge as the number of users and the complexity of systems increase. In light of the user-management sy... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Carlos Serôdio, Pedro Mestre, Jorge Cabral, Monica Gomes and Frederico Branco    
In the context of Industry 4.0, this paper explores the vital role of advanced technologies, including Cyber?Physical Systems (CPS), Big Data, Internet of Things (IoT), digital twins, and Artificial Intelligence (AI), in enhancing data valorization and m... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Huang Feng and Yu Zhang    
Extensive research in predicting annual passenger throughput has been conducted, aiming at providing decision support for airport construction, aircraft procurement, resource management, flight scheduling, etc. However, how airport operational throughput... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Thabit Atobishi, Sahar Moh?d Abu Bakir and Saeed Nosratabadi    
As public sector agencies face rising imperatives to digitally transform citizen services, data systems, and internal operations, questions persist as to whether investments in big data analytics and automation capabilities, evidenced to drive organizati... ver más
Revista: Administrative Sciences    Formato: Electrónico

 
en línea
Andreas F. Gkontzis, Sotiris Kotsiantis, Georgios Feretzakis and Vassilios S. Verykios    
In an epoch characterized by the swift pace of digitalization and urbanization, the essence of community well-being hinges on the efficacy of urban management. As cities burgeon and transform, the need for astute strategies to navigate the complexities o... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Sachin Gowda, Vaishakh Kunjar, Aakash Gupta, Govindaswamy Kavitha, Bishnu Kant Shukla and Parveen Sihag    
In the realm of urban geotechnical infrastructure development, accurate estimation of the California Bearing Ratio (CBR), a key indicator of the strength of unbound granular material and subgrade soil, is paramount for pavement design. Traditional labora... ver más
Revista: Urban Science    Formato: Electrónico

 
en línea
Chouaib El Hachimi, Salwa Belaqziz, Saïd Khabba, Badreddine Sebbar, Driss Dhiba and Abdelghani Chehbouni    
Smart management of weather data is an essential step toward implementing sustainability and precision in agriculture. It represents an important input for numerous tasks, such as crop growth, development, yield, and irrigation scheduling, to name a few.... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Christos Karras, Aristeidis Karras, Konstantinos C. Giotopoulos, Markos Avlonitis and Spyros Sioutas    
In the context of big-data analysis, the clustering technique holds significant importance for the effective categorization and organization of extensive datasets. However, pinpointing the ideal number of clusters and handling high-dimensional data can b... ver más
Revista: Algorithms    Formato: Electrónico

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