[HTML][HTML] A survey of machine and deep learning methods for privacy protection in the internet of things

E Rodríguez, B Otero, R Canal - Sensors, 2023 - mdpi.com
Recent advances in hardware and information technology have accelerated the proliferation
of smart and interconnected devices facilitating the rapid development of the Internet of …

A survey on industrial information integration 2016–2019

Y Chen - Journal of Industrial Integration and Management, 2020 - World Scientific
Industrial information integration engineering (IIIE) is a set of foundational concepts and
techniques that facilitate the industrial information integration process. In recent years, many …

[HTML][HTML] A blockchain-orchestrated deep learning approach for secure data transmission in IoT-enabled healthcare system

P Kumar, R Kumar, GP Gupta, R Tripathi… - Journal of Parallel and …, 2023 - Elsevier
The integration of the Internet of Things (IoT) with traditional healthcare systems has
improved quality of healthcare services. However, the wearable devices and sensors used …

Significant applications of machine learning for COVID-19 pandemic

S Kushwaha, S Bahl, AK Bagha, KS Parmar… - Journal of Industrial …, 2020 - World Scientific
Machine learning is an innovative approach that has extensive applications in prediction.
This technique needs to be applied for the COVID-19 pandemic to identify patients at high …

TP2SF: A Trustworthy Privacy-Preserving Secured Framework for sustainable smart cities by leveraging blockchain and machine learning

P Kumar, GP Gupta, R Tripathi - Journal of Systems Architecture, 2021 - Elsevier
With the advancement in sensor technology and the proliferation of low-cost electronic
circuits, Internet of Things (IoT) is emerging as a promising technology for realization of …

SP2F: A secured privacy-preserving framework for smart agricultural Unmanned Aerial Vehicles

R Kumar, P Kumar, R Tripathi, GP Gupta… - Computer Networks, 2021 - Elsevier
The current advancement in Unmanned Aerial Vehicles (UAVs) and the proliferation of the
Internet of Things (IoT) devices is revolutionizing conventional farming operations into …

Mobile-Unet: An efficient convolutional neural network for fabric defect detection

J Jing, Z Wang, M Rätsch… - Textile Research …, 2022 - journals.sagepub.com
Deep learning–based fabric defect detection methods have been widely investigated to
improve production efficiency and product quality. Although deep learning–based methods …

[HTML][HTML] Cyber resilience and cyber security issues of intelligent cloud computing systems

F Abdullayeva - Results in Control and Optimization, 2023 - Elsevier
It is necessary to provide the cyber security of cloud computing according to the components
that constitute its structure. The first step in advancing the cyber security of this technology is …

Pavement crack detection and recognition using the architecture of segNet

T Chen, Z Cai, X Zhao, C Chen, X Liang, T Zou… - Journal of Industrial …, 2020 - Elsevier
This paper presents a practical deep-learning-based crack detection model for inspecting
concrete pavement, asphalt pavement, and bridge deck cracks. Crack detection is a typical …

Mapping the knowledge domain of soft computing applications for emergency evacuation studies: A scientometric analysis and critical review

B Liang, CN van der Wal, K Xie, Y Chen, FMT Brazier… - Safety science, 2023 - Elsevier
Emergency evacuation is viewed as a common strategy adopted during the disaster
preparedness stage of evacuation to ensure the safety of potentially affected populations. In …