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Sensors, Vol. 23, Pages 5862: Human Activity Recognition Using Hybrid Coronavirus Disease Optimization Algorithm for Internet of Medical Things
Conclusions: The results proved that the proposed approach outperforms state-of-the-art HAR techniques, achieving an average performance of 97.82% in accuracy and a reduction ratio in feature selection of 52.7%.
Source: Sensors - June 24, 2023 Category: Biotechnology Authors: Asmaa M. Khalid Doaa Sami Khafaga Eman Abdullah Aldakheel Khalid M. Hosny Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1533: A New COVID-19 Detection Method Based on CSK/QAM Visible Light Communication and Machine Learning
This article proposes a novel method for detecting coronavirus disease 2019 (COVID-19) in an underground channel using visible light communication (VLC) and machine learning (ML). We present mathematical models of COVID-19 Deoxyribose Nucleic Acid (DNA) gene transfer in regular square constellations using a CSK/QAM-based VLC system. ML algorithms are used to classify the bands present in each electrophoresis sample according to whether the band corresponds to a positive, negative, or ladder sample during the search for the optimal model. Complexity studies reveal that the square constellation N=22i×22i,(i=3) ...
Source: Sensors - January 30, 2023 Category: Biotechnology Authors: Ismael Soto Raul Zamorano-Illanes Raimundo Becerra Pablo Palacios J átiva Cesar A. Azurdia-Meza Wilson Alavia Ver ónica García Muhammad Ijaz David Zabala-Blanco Tags: Article Source Type: research

Sensors, Vol. 22, Pages 6312: Database and AI Diagnostic Tools Improve Understanding of Lung Damage, Correlation of Pulmonary Disease and Brain Damage in COVID-19
The objective of this paper is to perform a systematic review to summarize the electroencephalogram (EEG) findings in patients with coronavirus disease (COVID-19) and databases and tools used in artificial intelligence algorithms, supporting the diagnosis and correlation between lung disease and brain damage, and lung damage. Available search tools containing scientific publications, such as PubMed and Google Scholar, were comprehensively evaluated and searched with open databases and tools used in AI algorithms. This work aimed to collect papers from the period of January 2019–May 2022 including in their res...
Source: Sensors - August 22, 2022 Category: Biotechnology Authors: Ilona Karpiel Ana Starcevic Mirella Urzeniczok Tags: Review Source Type: research

Sensors, Vol. 21, Pages 6430: Efficient Self-Supervised Metric Information Retrieval: A Bibliography Based Method Applied to COVID Literature
We present a new self-supervised solution, called SUBLIMER, that does not require labels to learn to search on corpora of scientific papers for most relevant against arbitrary queries. SUBLIMER is a novel efficient IR engine trained on the unsupervised COVID-19 Open Research Dataset (CORD19), using deep metric learning. The core point of our self-supervised approach is that it uses no labels, but exploits the bibliography citations from papers to create a latent space where their spatial proximity is a metric of semantic similarity; for this reason, it can also be applied to other domains of papers corpora. SUBLIMER, despi...
Source: Sensors - September 26, 2021 Category: Biotechnology Authors: Gianluca Moro Lorenzo Valgimigli Tags: Article Source Type: research

Sensors, Vol. 21, Pages 3829: Infection-Mediated Clinical Biomarkers for a COVID-19 Electrical Biosensing Platform
Hamzah The race towards the development of user-friendly, portable, fast-detection, and low-cost devices for healthcare systems has become the focus of effective screening efforts since the pandemic attack in December 2019, which is known as the coronavirus disease 2019 (COVID-19) pandemic. Currently existing techniques such as RT-PCR, antigen–antibody-based detection, and CT scans are prompt solutions for diagnosing infected patients. However, the limitations of currently available indicators have enticed researchers to search for adjunct or additional solutions for COVID-19 diagnosis. Meanwhile, identifying biomar...
Source: Sensors - June 1, 2021 Category: Biotechnology Authors: Reena Sri Selvarajan Subash C. B. Gopinath Noraziah Mohamad Zin Azrul Azlan Hamzah Tags: Review Source Type: research