A comprehensive survey of multi-view video summarization

T Hussain, K Muhammad, W Ding, J Lloret, SW Baik… - Pattern Recognition, 2021 - Elsevier
There has been an exponential growth in the amount of visual data on a daily basis
acquired from single or multi-view surveillance camera networks. This massive amount of …

[HTML][HTML] Big data analytics using cloud computing based frameworks for power management systems: Status, constraints, and future recommendations

AHA Al-Jumaili, RC Muniyandi, MK Hasan, JKS Paw… - Sensors, 2023 - mdpi.com
Traditional parallel computing for power management systems has prime challenges such
as execution time, computational complexity, and efficiency like process time and delays in …

Latent error prediction and fault localization for microservice applications by learning from system trace logs

X Zhou, X Peng, T Xie, J Sun, C Ji, D Liu… - Proceedings of the …, 2019 - dl.acm.org
In the production environment, a large part of microservice failures are related to the
complex and dynamic interactions and runtime environments, such as those related to …

An online fault detection model and strategies based on SVM-grid in clouds

PY Zhang, S Shu, MC Zhou - IEEE/CAA Journal of Automatica …, 2018 - ieeexplore.ieee.org
Online fault detection is one of the key technologies to improve the performance of cloud
systems. The current data of cloud systems is to be monitored, collected and used to reflect …

Feature trend extraction and adaptive density peaks search for intelligent fault diagnosis of machines

Y Wang, Z Wei, J Yang - IEEE Transactions on Industrial …, 2018 - ieeexplore.ieee.org
Traditional machine fault diagnosis techniques are labor-intensive and hard for nonexperts
to use. In this paper, a novel three-stage intelligent fault diagnosis approach is proposed for …

Fault tolerance in cloud computing environment: A systematic survey

M Hasan, MS Goraya - Computers in Industry, 2018 - Elsevier
Fault tolerance is among the most imperative issues in cloud to deliver reliable services. It is
difficult to implement due to dynamic service infrastructure, complex configurations and …

An information theory-based feature selection framework for big data under apache spark

S Ramírez-Gallego, H Mouriño-Talín… - … on Systems, Man …, 2017 - ieeexplore.ieee.org
With the advent of extremely high dimensional datasets, dimensionality reduction
techniques are becoming mandatory. Of the many techniques available, feature selection …

Finite-time cluster synchronization of Lur'e networks: A nonsmooth approach

Z Tang, JH Park, H Shen - IEEE Transactions on Systems, Man …, 2017 - ieeexplore.ieee.org
This paper is devoted to the finite-time cluster synchronization issue of nonlinearly coupled
complex networks which consist of discontinuous Lur'e systems. On the basis of the …

Delay-dependent impulsive distributed synchronization of stochastic complex dynamical networks with time-varying delays

X Wang, X Liu, K She, S Zhong… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper studies the problem of synchronization for a class of stochastic complex
dynamical networks. It designs for the first time a distributed impulsive protocol based on …

Workflow-aware automatic fault diagnosis for microservice-based applications with statistics

T Wang, W Zhang, J Xu, Z Gu - IEEE Transactions on Network …, 2020 - ieeexplore.ieee.org
Microservice architectures bring many benefits, eg, faster delivery, improved scalability, and
greater autonomy, so they are widely adopted to develop and operate Internet-based …