Titlebook: Quality, Reliability, Security and Robustness in Heterogeneous Systems; 19th EAI Internation Victor C.M. Leung,Hezhang Li,Zhaolong Ning Con

flamboyant

ingenue

A New Rolling Bearing Work Condition Monitoring Method Based on Back Propagation Networkmachine failures. Vibration signal analysis is a common way. In order to automatically provide accurate diagnosis results, a new method based on Back Propagation (BP) network is proposed. Wavelet ridge transform has been applied to filter part environmental noise, and then a new demodulation method

蚊子

Ablation

Adaptive Control Scheme for Clustering of Nodes Based on the Signs of Connections in Dynamical Signe in the extant academic literature. However, most of them consider static signed networks, which are not suitable for dynamical networks. For dynamical signed networks, there is a class of algorithms called cluster dynamics. Nevertheless, they regard the connection to be time-invariant, which is a c

改变立场

Entrofuse: Clustered Federated Learning Through Entropy Approachage and a huge communication burden. To tackle this severe challenge, Federated Learning (FL), which served as a novel paradigm of distributed machine learning, is recently proposed. Under the framework of FL, clients cooperatively train a shared global model with their own data and transmit the mod

召集

M2F: Multi-centered Fairness-Aware Federated Learning Frameworkin a global model, while their contributions to global model training differ due to inherent heterogeneity in data and capabilities. This induces inequitable incentives for their contributions. Existing incentive mechanisms relying on a single model for incentive allocation often underestimate clien

Incisor

caldron

Research on Domain Specific Chinese Named Entity Recognition Based on RTBC Algorithm how to process the common polysemy of words is a hot issue that many scholars are working on it. In this paper, we propose a Chinese entity recognition model incorporating language model, RoBERTa-WWM-TextCNN-BiGRU-CRF model, which uses RoBERTa model pretrained on large-scale corpus to dynamically g

MOAN

A Multi-factor Water Quality Prediction Method Based on Wavelet Transform and LSTMter quality is affected by many factors, including physical and chemical factors, so the accuracy of traditional water quality prediction methods is not yet satisfactory. In order to improve the accuracy of water quality prediction, this paper proposes a multi-factor water quality prediction method

Deduct

Optimizing Computing Job Scheduling and Path Planning with Multi-objectivesergy-saving, and efficient network bandwidth usage objectives simultaneously. In this paper, an integer programming model is formulated to optimize the problem in the scenario of machine learning training. We then propose a heuristic Computing Job Scheduling and Routing Planning (CSRP) method to min