81 citations · 182 across the 10 of their papers we have counts for
10 papers
Energy-Efficient Stochastic Computing (SC) Neural Networks for Internet of Things Devices With Layer-Wise Adjustable Sequence Length (ASL)
Ziheng Wang, Pedro Reviriego, Farzad Niknia +4
Stochastic computing (SC) has emerged as an efficient low-power alternative for deploying neural networks (NNs) in resource-limited scenarios, such as the Internet of Things (IoT).…
Enhanced FIWARE-Based Architecture for Cyberphysical Systems With Tiny Machine Learning and Machine Learning Operations: A Case Study on Urban Mobility Systems
Javier Conde, Andrés Munoz-Arcentales, Álvaro Alonso +2
The rise of AI and the Internet of Things is accelerating the digital transformation of society. Mobility computing presents specific barriers due to its real-time requirements, de…
Assessing Latency in ASR Systems: A Methodological Perspective for Real-Time Use
Carlos Arriaga, Alejandro Pozo, Javier Conde +1
Automatic speech recognition (ASR) systems generate real-time transcriptions but often miss nuances that human interpreters capture. While ASR is useful in many contexts, interpret…
Empowering Database Learning Through Remote Educational Escape Rooms
Enrique Barra, Sonsoles López-Pernas, Aldo Gordillo +3
Learning about databases is indispensable for individuals studying software engineering or computer science or those involved in the IT industry. We analyzed a remote educational e…
Adaptive Resolution Inference (ARI): Energy-Efficient Machine Learning for Internet of Things
Ziheng Wang, Pedro Reviriego, Farzad Niknia +3
The implementation of machine learning in Internet of Things devices poses significant operational challenges due to limited energy and computation resources. In recent years, sign…
Overcoming the Barriers of Using Linked Open Data in Smart City Applications
Javier Conde, Andres Munoz-Arcentales, Johnny Choque +2
We study the benefits and challenges of using Linked Open Data in smart city applications and propose a set of open source, highly scalable tools within the case of a public-rental…
Applying digital twins for the management of information in turnaround event operations in commercial airports
Javier Conde, Andres Munoz-Arcentales, Mario Romero +4
The aerospace sector is one of the many sectors in which large amounts of data are generated. Thanks to the evolution of technology, these data can be exploited in several ways to…
Fostering the integration of European Open Data into Data Spaces through High-Quality Metadata
Javier Conde, Alejandro Pozo, Andrés Munoz-Arcentales +2
The term Data Space, understood as the secure exchange of data in distributed systems, ensuring openness, transparency, decentralization, sovereignty, and interoperability of infor…
Collaboration of Digital Twins through Linked Open Data: Architecture with FIWARE as Enabling Technology
Javier Conde, Andres Munoz-Arcentales, Álvaro Alonso +2
The collaboration of the real world and the virtual world, known as Digital Twin, has become a trend with numerous successful use cases. However, there are challenges mentioned in…
Modeling Digital Twin Data and Architecture: A Building Guide with FIWARE as Enabling Technology
Javier Conde, Andrés Munoz-Arcentales, Álvaro Alonso +2
The use of Digital Twins in the industry has become a growing trend in recent years, allowing to improve the lifecycle of any process by taking advantage of the relationship betwee…