AI has quickly become the backbone of enterprise network management, setting the baseline for what secure and optimized ...
Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn ...
Spiking Neural Networks (SNNs) are a cutting-edge approach to artificial intelligence, designed to emulate the brain's architecture and functionality. Their ...
In just a few years, large language models (LLMs) have expanded from millions to hundreds of billions of parameters, ...
Abstract: This article presents a newly developed integrated clustering and routing algorithm for wireless sensor networks. To improve the existing algorithms with a multi-stage data transmission ...
ABSTRACT: The growing demand for energy-efficient Wireless Sensor Networks (WSNs) in applications such as IoT, environmental monitoring, and smart cities has sparked exhaustive research into practical ...
ABSTRACT: This study proposes a decentralized urban traffic optimization approach by integrating Dijkstra’s algorithm with edge computing. The system models road networks as dynamic graphs, using real ...
first learning of human drivers, which then 'mutate` to CAVs, are trained to optimize routing policies with the implemented algorithm. When the training is finished, it uses raw results to compute a ...
U.S. military satellite terminals. Credit: Army Program Executive Office Command, Control, Communications, and Network (PEO-C3N) ARLINGTON, Va. — The U.S. military wants to turn its satellite ...
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