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[HTML][HTML] 3D printing of biodegradable polymers and their composites–Current state-of-the-art, properties, applications, and machine learning for potential future …
This review paper comprehensively examines the dynamic landscape of 3D printing and
Machine Learning utilizing biodegradable polymers and their composites, presenting a …
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 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 …
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 …
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
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 …
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
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 …
new requirements and challenges, enabling full and hyper mobile connectivity over the …
Interference management in 5G and beyond network: Requirements, challenges and future directions
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 …
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
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 …
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
Next-generation wireless communication networks will benefit from beamforming gain to
utilize higher bandwidths at millimeter wave (mmWave) and terahertz (THz) bands. For high …
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
The massive growth of mobile users and the essential need for high communication service
quality necessitate the deployment of ultra-dense heterogeneous networks (HetNets) …
quality necessitate the deployment of ultra-dense heterogeneous networks (HetNets) …
Machine learning empowered emerging wireless networks in 6G: Recent advancements, challenges and future trends
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 …
an ever-increasing demand for enhanced end-to-end (E2E) connectivity towards a …