Overload management has become very important in telecommunication networks, especially in the case of monitoring network elements that generate time-varying and burst data streams.
We investigate the possibility of predicting lost packets for packet loss concealment using n-gram predictive models.
The problem of learning a general input-output relation using a "layered neural network" is discussed in a statistical mechanical framework.
Key unknows in the early stages of design of high-performance analog integrated circuits are the loading effects and potential for noise injection of the implementation of the interconnections on t
We discuss the role and the attributes of as well as the state-of-the-art and some major findings in, the area of predictive analytical ({''}mathematical{''}) thermal stress modeling in electronic,
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Low-cost low-margin optical networks play an essential role in the growth and upgrade of metro network infrastructures required to support the challenging requirements of 5G (and beyond) services.
Mobile traffic is dramatically increasing in recent several years with the evolution of mobile network toward 5G era.
Unicast demand on wireless networks are being dominated by users who watch multi-media content on their own time. Broadcast is not a suitable solution for today's wireless users.
Electronic noise in quantum cascade structures is investigated theoretically and experimentally under dark conditions.
