399   Artículos

 
en línea
Daniel Molinero-Hernández, Sergio R. Galván-González, Nicolás D. Herrera-Sandoval, Pablo Guzman-Avalos, J. Jesús Pacheco-Ibarra and Francisco J. Domínguez-Mota    
Driven by the emergence of Graphics Processing Units (GPUs), the solution of increasingly large and intricate numerical problems has become feasible. Yet, the integration of GPUs into Computational Fluid Dynamics (CFD) codes still presents a significant ... ver más
Revista: Computation    Formato: Electrónico

 
en línea
Vijeta Sharma, Manjari Gupta, Ajai Kumar and Deepti Mishra    
The video camera is essential for reliable activity monitoring, and a robust analysis helps in efficient interpretation. The systematic assessment of classroom activity through videos can help understand engagement levels from the perspective of both stu... ver más
Revista: Information    Formato: Electrónico

 
en línea
Michiel van der Vlag, Lionel Kusch, Alain Destexhe, Viktor Jirsa, Sandra Diaz-Pier and Jennifer S. Goldman    
Global neural dynamics emerge from multi-scale brain structures, with nodes dynamically communicating to form transient ensembles that may represent neural information. Neural activity can be measured empirically at scales spanning proteins and subcellul... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Naseem Adnan Alsamarai and Osman Nuri Uçan    
Today, the IoT has become a vital part of our lives because it has entered into the precise details of human life, like smart homes, healthcare, eldercare, vehicles, augmented reality, and industrial robotics. Cloud computing and fog computing give us se... ver más
Revista: Applied Sciences    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
Suryakant Tyagi and Sándor Szénási    
Machine learning and speech emotion recognition are rapidly evolving fields, significantly impacting human-centered computing. Machine learning enables computers to learn from data and make predictions, while speech emotion recognition allows computers t... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Kichan Sim and Kangsu Lee    
A digital twin is a virtual model of a real-world structure (such as a device or equipment) which supports various problems or operations that occur throughout the life cycle of the structure through linkage with the actual structure. Digital twins have ... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Varsha S. Lalapura, Veerender Reddy Bhimavarapu, J. Amudha and Hariram Selvamurugan Satheesh    
The Recurrent Neural Networks (RNNs) are an essential class of supervised learning algorithms. Complex tasks like speech recognition, machine translation, sentiment classification, weather prediction, etc., are now performed by well-trained RNNs. Local o... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Chang Guo, Jianfeng Zhu and Xiaoming Wang    
In recent years, the rapid growth of vehicles has imposed a significant burden on urban road resources. To alleviate urban traffic congestion in intelligent transportation systems (ITS), real-time and accurate traffic flow prediction has emerged as an ef... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Chuanbo Wang, Amirreza Mahbod, Isabella Ellinger, Adrian Galdran, Sandeep Gopalakrishnan, Jeffrey Niezgoda and Zeyun Yu    
Wound care professionals provide proper diagnosis and treatment with heavy reliance on images and image documentation. Segmentation of wound boundaries in images is a key component of the care and diagnosis protocol since it is important to estimate the ... ver más
Revista: Information    Formato: Electrónico

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