The use of multi-criteria decision-making methods in business analytics: A comprehensive literature review

AS Yalcin, HS Kilic, D Delen - Technological forecasting and social change, 2022 - Elsevier
Business analytics (BA) systems are considered significant investments for enterprises
because they have the potential to considerably improve firms' performance. With the value …

Multi-objective task and workflow scheduling approaches in cloud computing: a comprehensive review

M Hosseinzadeh, MY Ghafour, HK Hama, B Vo… - Journal of Grid …, 2020 - Springer
Efficient task and workflow scheduling are very important for improving resource
management and reducing power consumption in cloud computing data centers (DCs) …

A novel intelligent diagnosis method using optimal LS-SVM with improved PSO algorithm

W Deng, R Yao, H Zhao, X Yang, G Li - Soft computing, 2019 - Springer
Aiming at the problem that the most existing fault diagnosis methods could not effectively
recognize the early faults in the rotating machinery, the empirical mode decomposition, fuzzy …

RFID reader anticollision based on distributed parallel particle swarm optimization

B Cao, Y Gu, Z Lv, S Yang, J Zhao… - IEEE internet of things …, 2020 - ieeexplore.ieee.org
The deployment of a very large number of readers in a limited space may increase the
probability of collision among radio-frequency identification (RFID) readers and reduce the …

Study on an improved adaptive PSO algorithm for solving multi-objective gate assignment

W Deng, H Zhao, X Yang, J Xiong, M Sun, B Li - Applied Soft Computing, 2017 - Elsevier
Gate is a key resource in the airport, which can realize rapid and safe docking, ensure the
effective connection between flights and improve the capacity and service efficiency of …

A novel fault diagnosis method based on integrating empirical wavelet transform and fuzzy entropy for motor bearing

W Deng, S Zhang, H Zhao, X Yang - IEEE access, 2018 - ieeexplore.ieee.org
Motor bearing is subjected to the joint effects of much more loads, transmissions, and shocks
that cause bearing fault and machinery breakdown. A vibration signal analysis method is the …

Beyond frame-level CNN: saliency-aware 3-D CNN with LSTM for video action recognition

X Wang, L Gao, J Song, H Shen - IEEE signal processing …, 2016 - ieeexplore.ieee.org
Human activity recognition in videos with convolutional neural network (CNN) features has
received increasing attention in multimedia understanding. Taking videos as a sequence of …

Four-image encryption scheme based on quaternion Fresnel transform, chaos and computer generated hologram

C Yu, J Li, X Li, X Ren, BB Gupta - Multimedia Tools and Applications, 2018 - Springer
A novel four-image encryption scheme based on the quaternion Fresnel transforms (QFST),
computer generated hologram and the two-dimensional (2D) Logistic-adjusted-Sine map …

Certificateless searchable public key encryption scheme for industrial internet of things

M Ma, D He, N Kumar, KKR Choo… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
With the widespread adoption of Internet of Things and cloud computing in different industry
sectors, an increasing number of individuals or organizations are outsourcing their Industrial …

A multifaceted framework for adoption of cloud computing in Malaysian SMEs

A Asiaei, NZ Ab. Rahim - Journal of Science and Technology Policy …, 2019 - emerald.com
Purpose The purpose of this study is to develop a model to understand the relationships
among technology, organizational and environmental (TOE) contexts, intention to adopt …