Artificial intelligence (AI) methods in optical networks: A comprehensive survey

Artificial Intelligence (AI) Methods in Optical Networks: A Comprehensive Survey

Artificial intelligence (AI) is an extensive scientific discipline which enables computer systems to solve problems by emulating complex biological processes such as learning, reasoning and self-correction. This paper presents a comprehensive review of the application of AI techniques for improving performance of optical communication systems and networks. The use of AI-based techniques is firs...

AI Methods in Algorithmic Composition: A Comprehensive Survey

Algorithmic composition is the partial or total automation of the process of music composition by using computers. Since the 1950s, different computational techniques related to Artificial Intelligence have been used for algorithmic composition, including grammatical representations, probabilistic methods, neural networks, symbolic rule-based systems, constraint programming and evolutionary alg...

Artificial intelligence (AI) in blended learning

The growth of e-learning, and subsequently, of blended learning in recent years in response to the global demand for increased productivity in education and training has been astounding! While the commercial response, including that of universities, to this rapid increase in demand and to the associated potential of communications technologies to provide global access has been impressive, signi...

Protection and Restoration Schemes in Optical Networks: A Comprehensive Survey

Fault management has become critical in managing survivability of high speed networks. Impact of failure is aggravated with extremely high volume of traffic carried on WDM (Wavelength Division Multiplexing) networks. In a WDM network, failure of a network element may cause failure of several optical channels leading to large data loss which can interrupt communication services. In this paper, e...

Artificial Intelligence: A General Survey