Advances in meta-heuristic optimization algorithms in big data text clustering

L Abualigah, AH Gandomi, MA Elaziz, HA Hamad… - Electronics, 2021 - mdpi.com
This paper presents a comprehensive survey of the meta-heuristic optimization algorithms
on the text clustering applications and highlights its main procedures. These Artificial …

A comprehensive and systematic review of the load balancing mechanisms in the Internet of Things

B Pourghebleh, V Hayyolalam - Cluster Computing, 2020 - Springer
Abstract The Internet of Things (IoT) is a network of different objects that refers to an
environment in which intelligent devices around us can connect to the Internet and …

Convolutional neural networks for medical image analysis: state-of-the-art, comparisons, improvement and perspectives

H Yu, LT Yang, Q Zhang, D Armstrong, MJ Deen - Neurocomputing, 2021 - Elsevier
Convolutional neural networks, are one of the most representative deep learning models.
CNNs were extensively used in many aspects of medical image analysis, allowing for great …

ADTT: A highly efficient distributed tensor-train decomposition method for IIoT big data

X Wang, LT Yang, Y Wang, L Ren… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The industrial Internet of Things (IIoT) is growing quickly due to increasing deployment and
integration of smart sensors, instruments, and devices, and software using wired or wireless …

Energy-efficient scheduling for real-time systems based on deep Q-learning model

Q Zhang, M Lin, LT Yang, Z Chen… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Energy saving is a critical and challenging issue for real-time systems in embedded devices
because of their limited energy supply. To reduce the energy consumption, a hybrid dynamic …

A comprehensive and systematic literature review on the big data management techniques in the internet of things

A Naghib, N Jafari Navimipour, M Hosseinzadeh… - Wireless …, 2023 - Springer
Abstract The Internet of Things (IoT) is a communication paradigm and a collection of
heterogeneous interconnected devices. It produces large-scale distributed, and diverse data …

Unstructured big data analysis algorithm and simulation of Internet of Things based on machine learning

R Hou, YQ Kong, B Cai, H Liu - Neural Computing and Applications, 2020 - Springer
Big data values data processing to ensure effective value-added data. With the rapid
development of the cloud era, the coverage of big data has gradually expanded, and it has …

Privacy-preserving double-projection deep computation model with crowdsourcing on cloud for big data feature learning

Q Zhang, LT Yang, Z Chen, P Li… - IEEE Internet of Things …, 2017 - ieeexplore.ieee.org
Recent years have witness a considerable advance of Internet of Things with the
tremendous progress of communication theories and sensing technologies. A large number …

Predicting temporal social contact patterns for data forwarding in opportunistic mobile networks

H Zhou, VCM Leung, C Zhu, S Xu… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In this paper, we predict nodes' social contact patterns from the temporal perspective, and
propose a novel approach to improve the performance of data forwarding in opportunistic …

A survey on data provenance in IoT

R Hu, Z Yan, W Ding, LT Yang - World Wide Web, 2020 - Springer
Abstract Internet of Things (IoT), as a typical representation of cyberization, enables the
interconnection of physical things and the Internet, which provides intelligent and advanced …