Cognitive Computing with a Big Data System in a Secure Internet of Things-Reference-Cited by-同舟云学术

Cognitive Computing with a Big Data System in a Secure Internet of Things

Published:2023-06-12 Issue:12 Volume:13 Page:7037
ISSN:2076-3417
Container-title:Applied Sciences
language:en
Short-container-title:Applied Sciences

Author:

Cheng Xiaochun¹^ORCID,Du Ding-Zhu²,Sangaiah Arun Kumar³^ORCID,Lu Rongxing⁴

Affiliation:

1. Department of Computer Science, Swansea University, Swansea SA2 8PP, UK

2. Department of Computer Science, University of Texas at Dallas, Richardson, TX 75080, USA

3. International Graduate Institute of AI, National Yunlin University of Science and Technology, Douliu 64002, Taiwan

4. Faculty of Computer Science, University of New Brunswick, Fredericton, NB E3B 5A3, Canada

Abstract

This editorial aims to summarize the contents of the ten papers included in the Special Issue entitled “Cognitive Computing with a Big Data System in a Secure Internet of Things” [...]

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Link

https://www.mdpi.com/2076-3417/13/12/7037/pdf

Reference10 articles.

1. Zhou, N., Zhang, M., Wang, H., Liu, M., Ke, Y., and Wang, X. (2019). Reversible Data Hiding Scheme in Homomorphic Encrypted Image Based on EC-EG. Appl. Sci., 9.

2. Su, J., Gao, L., Li, W., Xia, Y., Cao, N., and Wang, R. (2019). Fast Face Tracking-by-Detection Algorithm for Secure Monitoring. Appl. Sci., 9.

3. Qiao, Y., Zhang, B., Zhang, W., Sangaiah, A., and Wu, H. (2019). DGA Domain Name Classification Method Based on Long Short-Term Memory with Attention Mechanism. Appl. Sci., 9.

4. Wang, Y., Qiao, Y., Ma, J., Hu, G., Zhang, C., Sangaiah, A., Zhang, H., and Ren, K. (2019). A Novel Time Constraint-Based Approach for Knowledge Graph Conflict Resolution. Appl. Sci., 9.

5. Zhang, D., Wang, S., Li, F., Wang, J., Sangaiah, A., Sheng, V., and Ding, X. (2019). An ECG Signal De-Noising Approach Based on Wavelet Energy and Sub-Band Smoothing Filter. Appl. Sci., 9.