Results 91 to 100 of about 1,622,314 (332)
CACHE-IT: A distributed architecture for proactive edge caching in heterogeneous IoT scenarios
The Cloud-to ...
Ivan D. Zyrianoff +5 more
semanticscholar +1 more source
Adaptive In-Network Collaborative Caching for Enhanced Ensemble Deep Learning at Edge [PDF]
Yana Qin +4 more
openalex +1 more source
This study achieves the synergistic integration of self‐powered sensing and edge AI acceleration to establish a real‐time fault diagnosis system. The proposed TENG‐based self‐powered bearing sensor (NSE‐TBS) and FPGA‐accelerated edge AI framework fundamentally break through the inherent limitations of conventional monitoring systems, including complex ...
Kehui Zhu +7 more
wiley +1 more source
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source
Exploiting Tradeoff Between Transmission Diversity and Content Diversity in Multi-Cell Edge Caching
Caching in multi-cell networks faces a well-known dilemma, i.e., to cache same contents among multiple edge nodes (ENs) to enable transmission cooperation/diversity for higher transmission efficiency, or to cache different contents to enable content ...
Liu, Kangqi, Tao, Meixia
core +1 more source
User-centric Optimization of Caching and Recommendations in Edge Cache Networks [PDF]
On streaming platforms such as Youtube and Netflix, recommendations influence a large share of content consumption. In this context, use rexperience depends on both the quality of the recommendations (QoR) and the quality of service (QoS) of the delivered content.
Dimitra Tsigkari +1 more
openaire +1 more source
QoE-Traffic Optimization Through Collaborative Edge Caching in Adaptive Mobile Video Streaming
Multi-access edge computing has been proposed as a promising approach to localize the access of mobile clients to the network edges, therefore, reducing significantly the traffic congestion on the backhaul network.
Abbas Mehrabi +2 more
doaj +1 more source
The immersed boundary method (IBM) was coupled with the moment representation lattice Boltzmann method (MR‐LBM), reducing bandwidth requirements compared to population‐based LBM formulations. A systematic assessment of IBM parameters was conducted to quantify their effect on computational performance.
Marco A. Ferrari +2 more
wiley +1 more source
Blockchain-based vehicular edge computing (VEC) is regarded as a promising computing paradigm that can enhance the computing capabilities of mobile vehicles while ensuring security during task offloading. However, the blockchain consensus for secure task
Chi Xu +5 more
semanticscholar +1 more source
Exact Solutions for the Moving Firefighter Problem on Trees
ABSTRACT The moving firefighter problem (MFP) is a more realistic variant of the classic firefighter problem (FP), where firefighters require time for both travel and defense. Unfortunately, the only known exact solution for the MFP does not scale. In this paper, we establish that the MFP is NP‐complete on trees of maximum degree three and present four
Mauro A. Montenegro‐Meza +4 more
wiley +1 more source

