The crucial bottle neck of today's computer integrated manufacturing technology is the "MISSING LINK" - the missing link between large scale integrated automation and individual DNC machines and ro
The crucial bottle neck of today's computer integrated manufacturing technology is the "MISSING LINK" - the missing link between large scale integrated automation and individual DNC machines and ro
The crucial bottle neck of today's computer integrated manufacturing technology is the "MISSING LINK" - the missing link between large scale integrated automation and individual DNC machines and ro
The point of lowering optical network margins is to optimize the efficiency of current and future infrastructures. Margins are initially meant to guarantee a high reliability.
IEEE 802.11 networks (aka Wi-Fi) and Artificial Intelligence and Machine Learning (AI/ML) are called to redefine the next generation of wireless unlicensed communications systems.
Using a machine learning process fed by a monitoring of the cumulated chromatic dispersion for all established light-paths, we decrease design margins by identifying the fiber type of all unknown l
Frequency-selective peak-to-average power ratio (PAPR) reduction is essential in networks such as 5G New Radio (NR) that support frequency-domain multiplexing of users and services.
Massive Multiple Input Multiple Output (MIMO) is able to boost the system throughput.
Machine learning (ML)-based receivers are seen as a promising approach to enable accurate detection in multi-user multiple-input multiple-output (MU-MIMO) systems.
In the present day, the evaluation of machine learning (ML) as a candidate for substituting analytical quality of transmission (QoT) estimators is done in a compartmentalized way.
