Applications of artificial intelligence and machine learning within supply chains: systematic review and future research directions
Purpose The purpose of this study is to investigate how artificial intelligence (AI), as well as
machine learning (ML) techniques, are being applied and implemented within supply chains …
machine learning (ML) techniques, are being applied and implemented within supply chains …
Deep learning for massive MIMO uplink detectors
MA Albreem, AH Alhabbash… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Detection techniques for massive multiple-input multiple-output (MIMO) have gained a lot of
attention in both academia and industry. Detection techniques have a significant impact on …
attention in both academia and industry. Detection techniques have a significant impact on …
[HTML][HTML] Evaluation of Metaverse integration of freight fluidity measurement alternatives using fuzzy Dombi EDAS model
Developments in transportation systems, changes in consumerism trends, and conditions
such as COVID-19 have increased both the demand and the load on freight transportation …
such as COVID-19 have increased both the demand and the load on freight transportation …
[PDF][PDF] Security enhancement by identifying attacks using machine learning for 5G network
Need of security enhancement for 5G network has been increased in last decade. Data
transmitted over network need to be secure from external attacks. Thus there is need to …
transmitted over network need to be secure from external attacks. Thus there is need to …
5G security challenges and solutions: a review by OSI layers
The Fifth Generation of Communication Networks (5G) envisions a broader range of
services compared to previous generations, supporting an increased number of use cases …
services compared to previous generations, supporting an increased number of use cases …
[HTML][HTML] A comprehensive review on 5G-based smart healthcare network security: taxonomy, issues, solutions and future research directions
Healthcare is experiencing a fast change from a hospital-centric and specialist-focused
model to one that is dispersed and patient-centric. Numerous technological advancements …
model to one that is dispersed and patient-centric. Numerous technological advancements …
Machine learning threatens 5G security
J Suomalainen, A Juhola, S Shahabuddin… - IEEE …, 2020 - ieeexplore.ieee.org
Machine learning (ML) is expected to solve many challenges in the fifth generation (5G) of
mobile networks. However, ML will also open the network to several serious cybersecurity …
mobile networks. However, ML will also open the network to several serious cybersecurity …
[HTML][HTML] Poisoning attacks and countermeasures in intelligent networks: Status quo and prospects
Over the past years, the emergence of intelligent networks empowered by machine learning
techniques has brought great facilitates to different aspects of human life. However, using …
techniques has brought great facilitates to different aspects of human life. However, using …
Recent trends in AI-based intelligent sensing
In recent years, intelligent sensing has gained significant attention because of its
autonomous decision-making ability to solve complex problems. Today, smart sensors …
autonomous decision-making ability to solve complex problems. Today, smart sensors …
Machine learning for physical layer in 5G and beyond wireless networks: A survey
Fifth-generation (5G) technology will play a vital role in future wireless networks. The
breakthrough 5G technology will unleash a massive Internet of Everything (IoE), where …
breakthrough 5G technology will unleash a massive Internet of Everything (IoE), where …