State of the Art and Future Trends in Wireless Communications: Advances in the Physical Layer

Author(s):  
V.K. Bhargava
Electronics ◽  
2021 ◽  
Vol 10 (22) ◽  
pp. 2786
Author(s):  
Vasileios P. Rekkas ◽  
Sotirios Sotiroudis ◽  
Panagiotis Sarigiannidis ◽  
Shaohua Wan ◽  
George K. Karagiannidis ◽  
...  

Artificial Intelligence (AI) and especially Machine Learning (ML) can play a very important role in realizing and optimizing 6G network applications. In this paper, we present a brief summary of ML methods, as well as an up-to-date review of ML approaches in 6G wireless communication systems. These methods include supervised, unsupervised and reinforcement techniques. Additionally, we discuss open issues in the field of ML for 6G networks and wireless communications in general, as well as some potential future trends to motivate further research into this area.


Molecules ◽  
2021 ◽  
Vol 26 (8) ◽  
pp. 2168
Author(s):  
Samir M. Ahmad ◽  
Oriana C. Gonçalves ◽  
Mariana N. Oliveira ◽  
Nuno R. Neng ◽  
José M. F. Nogueira

The analysis of controlled drugs in forensic matrices, i.e., urine, blood, plasma, saliva, and hair, is one of the current hot topics in the clinical and toxicological context. The use of microextraction-based approaches has gained considerable notoriety, mainly due to the great simplicity, cost-benefit, and environmental sustainability. For this reason, the application of these innovative techniques has become more relevant than ever in programs for monitoring priority substances such as the main illicit drugs, e.g., opioids, stimulants, cannabinoids, hallucinogens, dissociative drugs, and related compounds. The present contribution aims to make a comprehensive review on the state-of-the art advantages and future trends on the application of microextraction-based techniques for screening-controlled drugs in the forensic context.


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