Knowledge representation of software and software systems is an important research area with implications for other AI problems and for knowledge representation of real-world domains in general.
We propose a model to predict the performance of transmission systems without in-line dispersion compensation for short fiber lengths.
In this paper, we minimise a sensor nodes energy consumption by estimating the optimal split between sleep, page receive and transmit modes.
In theory, it should be easy to connect terminals and modems to UNIX(TM) systems. After all, virtually all interfaces conform to the RS-232-C standard.
In rapidly changing markets, product design quality does not end with the first product and manufacturing process designs.
We present a new, optimally efficient technique for extracting unbiased bits from certain physical sources of randomness.
We investigate how a machine learning-based QoT estimator performs depending on different features selections, on homogeneity of the learned light paths and on uncertainty of their span lengths usi
We investigate how a machine learning-based QoT estimator performs depending on different features selections, on homogeneity of the learned light paths and on uncertainty of their span lengths usi
In a previous article (An example of dynamic binding in C++, Journal of Object-Oriented Programming, vol. 1, no.
SDN and NFV are widely deemed to be critical pillars of the future of the Service Provider Network.
