A contemporary survey on free space optical communication: Potentials, technical challenges, recent advances and research direction
Due to the unprecedented growth of high speed multimedia services and diversified
applications initiated from the massive connectivity of IoT devices, 5G and beyond 5G (B5G) …
applications initiated from the massive connectivity of IoT devices, 5G and beyond 5G (B5G) …
Fiber laser development enabled by machine learning: review and prospect
In recent years, machine learning, especially various deep neural networks, as an emerging
technique for data analysis and processing, has brought novel insights into the development …
technique for data analysis and processing, has brought novel insights into the development …
[HTML][HTML] A review of the use of artificial intelligence methods in infrastructure systems
L McMillan, L Varga - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
The artificial intelligence (AI) revolution offers significant opportunities to capitalise on the
growth of digitalisation and has the potential to enable the 'system of systems' approach …
growth of digitalisation and has the potential to enable the 'system of systems' approach …
Evolution of short-range optical wireless communications
The optical wireless communication (OWC) technology explores the broad unregulated
optical spectrum to provide high-speed wireless communications, and the visible, ultraviolet …
optical spectrum to provide high-speed wireless communications, and the visible, ultraviolet …
Multi-associated parameters aggregation-based routing and resources allocation in multi-core elastic optical networks
Space division multiplexing (SDM), as a potential means of enhancing the capacity of optical
transmission systems, has attracted widespread attention. However, the adoption of SDM …
transmission systems, has attracted widespread attention. However, the adoption of SDM …
Neural networks-based equalizers for coherent optical transmission: Caveats and pitfalls
This paper performs a detailed, multi-faceted analysis of key challenges and common
design caveats related to the development of efficient neural networks (NN) based nonlinear …
design caveats related to the development of efficient neural networks (NN) based nonlinear …
RETRACTED ARTICLE: Improving cloud efficiency through optimized resource allocation technique for load balancing using LSTM machine learning algorithm
M Ashawa, O Douglas, J Osamor, R Jackie - Journal of Cloud Computing, 2022 - Springer
Allocating resources is crucial in large-scale distributed computing, as networks of
computers tackle difficult optimization problems. Within the scope of this discussion, the …
computers tackle difficult optimization problems. Within the scope of this discussion, the …
[HTML][HTML] Safeguarding cross-silo federated learning with local differential privacy
Federated Learning (FL) is a new computing paradigm in privacy-preserving Machine
Learning (ML), where the ML model is trained in a decentralized manner by the clients …
Learning (ML), where the ML model is trained in a decentralized manner by the clients …
Applying machine learning approach to predict students' performance in higher educational institutions
MN Yakubu, AM Abubakar - Kybernetes, 2022 - emerald.com
Purpose Academic success and failure are relevant lifelines for economic success in the
knowledge-based economy. The purpose of this paper is to predict the propensity of …
knowledge-based economy. The purpose of this paper is to predict the propensity of …
A review of machine learning-based failure management in optical networks
Failure management plays a significant role in optical networks. It ensures secure operation,
mitigates potential risks, and executes proactive protection. Machine learning (ML) is …
mitigates potential risks, and executes proactive protection. Machine learning (ML) is …