Neural network pruning is a key technique for deploying artificial intelligence (AI) models based on deep neural networks (DNNs) on resource-constrained platforms, such as mobile devices. However, ...

Multi-Objective Optimization in Theory and Practice is a simplified two-part approach to multi-objective optimization (MOO) problems. This second part focuses on the use of metaheuristic algorithms in ...

In the fast-evolving field of electronic systems design, engineers are under increasing pressure to deliver innovative, high-performance products within ever ...

Description: Theory and applications of multiple objective optimization and multiple criteria decision making. Existence and specification of single and multiple attributive value and utility ...

A new systematic review, Operational AI for Multimodal Urban Transport: A Systematic Literature Review and Deployment Framework for Multi-Objective Control and Electrification, published in the ...

There have been extensive discussions and reflections on central banking since the outbreak of the global financial crisis (GFC). Country circumstances differ, but there are also a number of issues ...