A topical review on machine learning, software defined networking, internet of things applications: Research limitations and challenges

Imran, Z Ghaffar, A Alshahrani, M Fayaz, AM Alghamdi… - Electronics, 2021 - mdpi.com
In recent years, rapid development has been made to the Internet of Things communication
technologies, infrastructure, and physical resources management. These developments and …

Comprehensive survey of iot, machine learning, and blockchain for health care applications: A topical assessment for pandemic preparedness, challenges, and …

M Imran, U Zaman, Imran, J Imtiaz, M Fayaz, J Gwak - Electronics, 2021 - mdpi.com
Internet of Things (IoT) communication technologies have brought immense revolutions in
various domains, especially in health monitoring systems. Machine learning techniques …

Intrusion detection system using feature extraction with machine learning algorithms in IoT

D Musleh, M Alotaibi, F Alhaidari, A Rahman… - Journal of Sensor and …, 2023 - mdpi.com
With the continuous increase in Internet of Things (IoT) device usage, more interest has
been shown in internet security, specifically focusing on protecting these vulnerable devices …

AI-and IoT-assisted sustainable education systems during pandemics, such as COVID-19, for smart cities

MM Kamruzzaman, S Alanazi, M Alruwaili… - Sustainability, 2023 - mdpi.com
The integration of AI and the IoT in education has the potential to revolutionize the way we
learn. Personalized learning, real-time feedback and support, and immersive learning …

A deep learning approach to intelligent fruit identification and family classification

NM Ibrahim, DGI Gabr, A Rahman, S Dash… - Multimedia Tools and …, 2022 - Springer
The deep learning techniques have been playing an important role in the identification and
classification problems such as diseases in medical science, marketing in the industry …

A multi-objective task scheduling strategy for intelligent production line based on cloud-fog computing

Z Yin, F Xu, Y Li, C Fan, F Zhang, G Han, Y Bi - Sensors, 2022 - mdpi.com
With the widespread use of industrial Internet technology in intelligent production lines, the
number of task requests generated by smart terminals is growing exponentially. Achieving …

ZeVigilante: Detecting Zero‐Day Malware Using Machine Learning and Sandboxing Analysis Techniques

F Alhaidari, NA Shaib, M Alsafi… - Computational …, 2022 - Wiley Online Library
For the enormous growth and the hysterical impact of undocumented malicious software,
otherwise known as Zero-Day malware, specialized practices were joined to implement …

Network Anomaly Detection in 5G Networks.

A Rahman, M Mahmud, T Iqbal… - Mathematical …, 2022 - search.ebscohost.com
On the telecommunications front, 5G is the fifth-generation technology standard for
broadband cellular networks, which is a replacement for the 4G networks used by most …

[PDF][PDF] A Neuro-Fuzzy Approach to Road Traffic Congestion Prediction.

M Gollapalli, D Musleh, N Ibrahim, MA Khan… - … , Materials & Continua, 2022 - academia.edu
The fast-paced growth of artificial intelligence applications provides unparalleled
opportunities to improve the efficiency of various systems. Such as the transportation sector …

Mobile cloud computing: a green perspective

S Dash, M Ahmad, T Iqbal - Intelligent Systems: Proceedings of ICMIB …, 2021 - Springer
Green computing is a technology that focuses mostly on finding alternative solutions
(recycling) to protect the natural resources on earth like energy, etc. In this matter, it can be …