Quantum computing (QC) has opened the door to advancements in machine learning (ML) tasks that are currently implemented in the classical domain.Convolutional neural networks (CNNs) are classical ML architectures that exploit data locality and possess a simpler structure than a fully connected multi-layer perceptrons (MLPs) without compromising the
Dynamic Matrix Control for the Thermal Power of MHTGR-Based Nuclear Steam Supply System
The modular high temperature gas-cooled reactor (MHTGR) based nuclear steam supplying system (NSSS) is constituted by an MHTGR, a once-through steam Subo Food Bottle generator (OTSG) and can generate superheated steam for industrial heat or electric power generation.The wide range closed-loop stability is achieved by the recently proposed coordinat
Social Spammer Detection via Convex Nonnegative Matrix Factorization
With the increasing popularity of social network platforms such as Twitter and Sina Weibo, a lot of malicious users, Wall Mounts also known as social spammers, disseminate illegal information to normal users.Several approaches are proposed to detect spammers by training a classifier with optimization methods and mainly using content and social foll