337   Artículos

 
en línea
Qing Li, Decheng Zuo, Yi Feng and Dongxin Wen    
Backpack computers require powerful, intelligent computing capabilities for field wearables while taking energy consumption into careful consideration. A recommended solution for this demand is the CPU + NPU-based SoC. In many wearable intelligence appli... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Fahad Alqahtani, Mohammed Almutairi and Frederick T. Sheldon    
This study provides a comprehensive review and comparative analysis of existing Information Flow Tracking (IFT) tools which underscores the imperative for mitigating data leakage in complex cloud systems. Traditional methods impose significant overhead o... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Rafael Moreno-Vozmediano, Rubén S. Montero, Eduardo Huedo and Ignacio M. Llorente    
The adoption of edge infrastructure in 5G environments stands out as a transformative technology aimed at meeting the increasing demands of latency-sensitive and data-intensive applications. This research paper presents a comprehensive study on the intel... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Swati Kumari, Vatsal Tulshyan and Hitesh Tewari    
Due to rising cyber threats, IoT devices? security vulnerabilities are expanding. However, these devices cannot run complicated security algorithms locally due to hardware restrictions. Data must be transferred to cloud nodes for processing, giving attac... ver más
Revista: Information    Formato: Electrónico

 
en línea
Shaahin Angizi, Naima Ahmed Fahmi, Deniz Najafi, Wei Zhang and Deliang Fan    
In this work, we present an efficient Processing in MRAM-Accelerated De Bruijn Graph-based DNA Assembly platform, named PANDA, based on an optimized and hardware-friendly genome assembly algorithm. PANDA is able to assemble large-scale DNA sequence datas... ver más
Revista: Journal of Low Power Electronics and Applications    Formato: Electrónico

 
en línea
Eleni Vlachou, Aristeidis Karras, Christos Karras, Leonidas Theodorakopoulos, Constantinos Halkiopoulos and Spyros Sioutas    
In this work, we present a Distributed Bayesian Inference Classifier for Large-Scale Systems, where we assess its performance and scalability on distributed environments such as PySpark. The presented classifier consistently showcases efficient inference... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Yu Dai, Jiaming Fu, Zhen Gao and Lei Yang    
Due to CPU and memory limitations, mobile IoT devices face challenges in handling delay-sensitive and computationally intensive tasks. Mobile edge computing addresses this issue by offloading tasks to the wireless network edge, reducing latency and energ... 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
Jih-Ching Chiu, Guan-Yi Lee, Chih-Yang Hsieh and Qing-You Lin    
In computer vision and image processing, the shift from traditional cameras to emerging sensing tools, such as gesture recognition and object detection, addresses privacy concerns. This study navigates the Integrated Sensing and Communication (ISAC) era,... ver más
Revista: Applied System Innovation    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

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