[HTML][HTML] 3D printing of biodegradable polymers and their composites–Current state-of-the-art, properties, applications, and machine learning for potential future …

SAV Dananjaya, VS Chevali, JP Dear, P Potluri… - Progress in Materials …, 2024 - Elsevier
This review paper comprehensively examines the dynamic landscape of 3D printing and
Machine Learning utilizing biodegradable polymers and their composites, presenting a …

[HTML][HTML] The role of 5G technologies in a smart city: The case for intelligent transportation system

A Gohar, G Nencioni - Sustainability, 2021 - mdpi.com
A smart city is an urban area that collects data using various electronic methods and
sensors. Smart cities rely on Information and Communication Technologies (ICT) and aim to …

Prospects and challenges of the machine learning and data-driven methods for the predictive analysis of power systems: A review

W Strielkowski, A Vlasov, K Selivanov, K Muraviev… - Energies, 2023 - mdpi.com
The use of machine learning and data-driven methods for predictive analysis of power
systems offers the potential to accurately predict and manage the behavior of these systems …

Applications of artificial intelligence in engineering and manufacturing: a systematic review

IK Nti, AF Adekoya, BA Weyori… - Journal of Intelligent …, 2022 - Springer
Engineering and manufacturing processes and systems designs involve many challenges,
such as dynamism, chaotic behaviours, and complexity. Of late, the arrival of big data, high …

Security in 5G and beyond recent advances and future challenges

F Salahdine, T Han, N Zhang - Security and Privacy, 2023 - Wiley Online Library
Abstract 5G, 6G, and beyond (xG) technologies aim at delivering emerging services with
new requirements and challenges, enabling full and hyper mobile connectivity over the …

Interference management in 5G and beyond network: Requirements, challenges and future directions

MUA Siddiqui, F Qamar, F Ahmed, QN Nguyen… - IEEE …, 2021 - ieeexplore.ieee.org
In the modern technological world, wireless communication has taken a massive leap from
the conventional communication system to a new radio communication network. The novel …

A comprehensive survey on 6G and beyond: Enabling technologies, opportunities of machine learning and challenges

AT Jawad, R Maaloul, L Chaari - Computer Networks, 2023 - Elsevier
Multiple nations are now in the process of launching 5G mobile networks. All of the telecoms
industry has been revolutionized by the concept of 5G networks. Since late 2018 …

Machine learning for millimeter wave and terahertz beam management: A survey and open challenges

MQ Khan, A Gaber, P Schulz, G Fettweis - IEEE Access, 2023 - ieeexplore.ieee.org
Next-generation wireless communication networks will benefit from beamforming gain to
utilize higher bandwidths at millimeter wave (mmWave) and terahertz (THz) bands. For high …

Machine learning-based load balancing algorithms in future heterogeneous networks: A survey

E Gures, I Shayea, M Ergen, MH Azmi… - IEEE Access, 2022 - ieeexplore.ieee.org
The massive growth of mobile users and the essential need for high communication service
quality necessitate the deployment of ultra-dense heterogeneous networks (HetNets) …

Machine learning empowered emerging wireless networks in 6G: Recent advancements, challenges and future trends

HMF Noman, E Hanafi, KA Noordin, K Dimyati… - IEEE …, 2023 - ieeexplore.ieee.org
The upcoming 6G networks are sixth-sense next-generation communication networks with
an ever-increasing demand for enhanced end-to-end (E2E) connectivity towards a …