12   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
Juan Botero-Valencia, Erick Reyes-Vera, Elizabeth Ospina-Rojas and Flavio Prieto-Ortiz    
In this study, a novel system was designed to enhance the efficiency of data acquisition in a portable and compact instrument dedicated to the spectral analysis of various surfaces, including plant leaves, and materials requiring characterization within ... ver más
Revista: Instruments    Formato: Electrónico

 
en línea
Danilo Pau, Andrea Pisani and Antonio Candelieri    
In the context of TinyML, many research efforts have been devoted to designing forward topologies to support On-Device Learning. Reaching this target would bring numerous advantages, including reductions in latency and computational complexity, stronger ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Sérgio Branco, Ertugrul Dogruluk, João G. Carvalho, Marco S. Reis and Jorge Cabral    
As more and more devices are being deployed across networks to gather data and use them to perform intelligent tasks, it is vital to have a tool to perform real-time data analysis. Data are the backbone of Machine Learning models, the core of intelligent... ver más
Revista: Computers    Formato: Electrónico

 
en línea
Arash Khajooei, Mohammad (Behdad) Jamshidi and Shahriar B. Shokouhi    
Although the Metaverse is becoming a popular technology in many aspects of our lives, there are some drawbacks to its implementation on clouds, including long latency, security concerns, and centralized infrastructures. Therefore, designing scalable Meta... ver más
Revista: Information    Formato: Electrónico

 
en línea
Sanjeev Shakya, Attaphongse Taparugssanagorn and Chaklam Silpasuwanchai    
Gait analysis is a powerful technique that detects and identifies foot disorders and walking irregularities, including pronation, supination, and unstable foot movements. Early detection can help prevent injuries, correct walking posture, and avoid the n... ver más
Revista: IoT    Formato: Electrónico

 
en línea
Nikolaos Schizas, Aristeidis Karras, Christos Karras and Spyros Sioutas    
The rapid emergence of low-power embedded devices and modern machine learning (ML) algorithms has created a new Internet of Things (IoT) era where lightweight ML frameworks such as TinyML have created new opportunities for ML algorithms running within ed... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Dominik Piatkowski and Krzysztof Walkowiak    
As the COVID-19 pandemic emerged, everyone?s attention was brought to the topic of the health and safety of the entire human population. It has been proven that wearing a face mask can help limit the spread of the virus. Despite the enormous efforts of p... ver más
Revista: Applied Sciences    Formato: Electrónico

« Anterior     Página: 1 de 1     Siguiente »