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Progress towards gender equality in Europe has been very significant over the last century, however, there is still room for improvement in some of the key dimensions. The EU Gender Equality Strategy 2020-2025 calls for ...

Abstract This study provides a bibliometric overview of the first decade of the Journal of Big Data (JBD) since its launch in 2014. Using bibliographic records for 1,023 articles and reviews indexed in Scopus (2014–202...

Abstract The integration of the sixth-generation (6G) communication technology and the Industrial Internet of Things (IIoT) has realized the intelligence and automation of industrial applications. However, due to the com...

INTRODUCTION: High renewable energy penetration introduces significant uncertainties in distribution networks, posing challenges for source-load power forecasting and voltage management. OBJECTIVES: This study aims to e...

Networks have recently become ubiquitous in many scientific fields. In criminology, social network analysis (SNA) provides a potent tool for analysis of organized crime. This paper introduces basic network terms and meas...

Abstract Background Primary care is increasingly tasked with early detection, diagnosis, and management of dementia. Despite policy initiatives, education investments, and development of diagnostic and care pathways in A...

El artículo analiza el hecho social del 17A, en el marco de una acción conjunta de la derecha argentina y en función de los repertorios prácticos de esta identidad política. En ese sentido, se propone una posible ca...

In every day, there is a great growth of the Internet and smart devices connected to the network. On the other hand, there is an increasing in number of malwares that attacks networks, devices, systems and apps. One of t...

The digital transformation of health services causes an increasing number of digital health service providers in Indonesia. The user shares their experiences and reviews each other on the online platform. This study aims...

"Performance indicators of road networks are a long-lasting topic of research. Existing schemes assess network properties such as the average speed on road segments and the queuing time at intersections. The increasing a...

Deep convolutional neural networks have performed remarkably well on many Computer Vision tasks. However, these networks are heavily reliant on big data to avoid overfitting. Overfitting refers to the phenomenon when a n...

Convolutional networks are at the core of most state of-the-art computer vision solutions for a wide variety of tasks. Since 2014 very deep convolutional networks started to become mainstream, yielding substantial gains ...

Subjects / keywords: data science, data mining, big data networks, big data security and privacy, big data in healthcare; Technology: Technology (General): Industrial engineering. Management engineering: Information technology

Subjects / keywords: data science, artificial intelligence, machine learning, big data technologies, digital communications and networks, blockchain technologies; Science: Mathematics: Instruments and machines: Electronic computers. Computer...

Subjects / keywords: artificial intelligence and machine learning, big data processing and analysis, wireless networks and communication systems, robotics and mechatronics, industrial design, bioengineering; Science: Science (General): Cyber...

Subjects / keywords: information technology, big data, artificial intelligence, expert systems, information networks, automated use in libraries; Bibliography. Library science. Information resources

Abstract River water quality forecasting on directed river networks requires jointly modeling temporal dynamics and directional spatial dependencies among monitoring sites. Existing spatio-temporal models often emphasize...

Abstract Traffic flow prediction is a fundamental building block for Intelligent Transportation Systems (ITS), enabling proactive congestion mitigation, adaptive traffic signal control, and reliable route guidance. Howev...

A system-wide understanding of cellular function requires knowledge of all functional interactions between the expressed proteins. The STRING database aims to collect and integrate this information, by consolidating know...

In the last few years, the deep learning (DL) computing paradigm has been deemed the Gold Standard in the machine learning (ML) community. Moreover, it has gradually become the most widely used computational approach in ...