A Survey on Wearable Technology: History, State-of-the-Art and Current Challenges

Computer Networks, Journal Year: 2021, Volume and Issue: 193, P. 108074 - 108074

Published: April 8, 2021

Technology is continually undergoing a constituent development caused by the appearance of billions new interconnected "things" and their entrenchment in our daily lives. One underlying versatile technologies, namely wearables, able to capture rich contextual information produced such devices use it deliver legitimately personalized experience. The main aim this paper shed light on history wearable provide state-of-the-art review market. Moreover, provides an extensive diverse classification based various factors, discussion wireless communication architectures, data processing aspects, market status, as well variety other actual technology. Finally, survey highlights critical challenges existing/future solutions.

Language: Английский

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IoT in the Wake of COVID-19: A Survey on Contributions, Challenges and Evolution

IEEE Access, Journal Year: 2020, Volume and Issue: 8, P. 186821 - 186839

Published: Jan. 1, 2020

The novel coronavirus (COVID-19), declared by the World Health Organization (WHO) as a global pandemic, has brought with it changes to general way of life. Major sectors world industry and economy have been affected Internet Things (IoT) management framework is no exception in this regard. This article provides an up date survey on how pandemic such COVID-19 IoT technologies. It looks at contributions that associated sensor technologies made towards virus tracing, tracking spread mitigation. challenges deployment hardware face rapidly spreading looked into part review article. effects evolution architectures also addressed, leading likely outcomes future implementations. In general, insight advancement sensor-based E-health pandemics. answers question shaped networks.

Language: Английский

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The death of the short-form physics essay in the coming AI revolution

Physics Education, Journal Year: 2023, Volume and Issue: 58(3), P. 035027 - 035027

Published: April 4, 2023

The latest AI language modules can produce original, high quality full short-form ($300$-word) Physics essays within seconds. These technologies such as ChatGPT and davinci-003 are freely available to anyone with an internet connection. In this work, we present evidence of generated achieving first-class grades on essay writing assessment from accredited, current university module. requires students answer five open-ended questions a short, $300$-word each. Fifty answers were create ten submissions that independently marked by separate markers. achieved average mark $71 \pm 2 \%$, in strong agreement the module 5 %$. A typical submission would therefore most-likely be awarded First Class, highest classification at UK universities. Plagiarism detection software returned plagiarism score between $2 1$% (Grammarly) $7 2$% (TurnitIn). We argue these results indicate MLPs represent significant threat fidelity method courses.

Language: Английский

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Review and empirical analysis of sparrow search algorithm

Artificial Intelligence Review, Journal Year: 2023, Volume and Issue: 56(10), P. 10867 - 10919

Published: March 1, 2023

Language: Английский

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A systematic review and meta-analysis of artificial neural network, machine learning, deep learning, and ensemble learning approaches in field of geotechnical engineering

Neural Computing and Applications, Journal Year: 2024, Volume and Issue: 36(21), P. 12655 - 12699

Published: May 13, 2024

Abstract Artificial neural networks (ANN), machine learning (ML), deep (DL), and ensemble (EL) are four outstanding approaches that enable algorithms to extract information from data make predictions or decisions autonomously without the need for direct instructions. ANN, ML, DL, EL models have found extensive application in predicting geotechnical geoenvironmental parameters. This research aims provide a comprehensive assessment of applications addressing forecasting within field related engineering, including soil mechanics, foundation rock environmental geotechnics, transportation geotechnics. Previous studies not collectively examined all algorithms—ANN, EL—and explored their advantages disadvantages engineering. categorize address this gap existing literature systematically. An dataset relevant was gathered Web Science subjected an analysis based on approach, primary focus objectives, year publication, geographical distribution, results. Additionally, study included co-occurrence keyword covered techniques, systematic reviews, review articles data, sourced Scopus database through Elsevier Journal, were then visualized using VOS Viewer further examination. The results demonstrated ANN is widely utilized despite proven potential methods engineering due real-world laboratory civil engineers often encounter. However, when it comes behavior scenarios, techniques outperform three other methods. discussed here assist understanding benefits geo area. enables practitioners select most suitable creating certainty resilient ecosystem.

Language: Английский

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The Role of Artificial Intelligence in Tackling COVID-19

Future Virology, Journal Year: 2020, Volume and Issue: 15(11), P. 717 - 724

Published: Nov. 1, 2020

Keywords: 2019-nCoVartificial intelligencecoronavirusCOVID-19remdesivirSARS-CoV-2severe acute respiratory syndrome

Language: Английский

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Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions

Published: Aug. 1, 2020

Artificial intelligence (AI) has been applied widely in our daily lives a variety of ways with numerous successful stories. AI also contributed to dealing the coronavirus disease (COVID-19) pandemic, which happening around globe. This paper presents survey methods being used various applications fight against COVID-19 outbreak and outlines crucial roles research this unprecedented battle. We touch on number areas where plays as an essential component, from medical image processing, data analytics, text mining natural language Internet Things, computational biology medicine. A summary related sources that are available for purposes is presented. Research directions exploring potentials enhancing its capabilities power battle thoroughly discussed. highlight 13 groups problems pandemic point out promising tools can be solve those problems. It envisaged study will provide researchers wider community overview current status motivate harnessing COVID-19.

Language: Английский

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GeoCoV19

SIGSPATIAL Special, Journal Year: 2020, Volume and Issue: 12(1), P. 6 - 15

Published: June 3, 2020

The past several years have witnessed a huge surge in the use of social media platforms during mass convergence events such as health emergencies, natural or human-induced disasters. These non-traditional data sources are becoming vital for disease forecasts and surveillance when preparing epidemic pandemic outbreaks. In this paper, we present GeoCoV19, large-scale Twitter dataset containing more than 524 million multilingual tweets posted over period 90 days since February 1, 2020. Moreover, employ gazetteer-based approach to infer geolocation tweets. We postulate that largescale, multilingual, geolocated can empower research communities evaluate how societies collectively coping with unprecedented global crisis well develop computational methods address challenges identifying fake news, understanding communities' knowledge gaps, building forecast models, among others.

Language: Английский

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Recent Advances in Wearable Sensing Technologies

Sensors, Journal Year: 2021, Volume and Issue: 21(20), P. 6828 - 6828

Published: Oct. 14, 2021

Wearable sensing technologies are having a worldwide impact on the creation of novel business opportunities and application services that benefiting common citizen. By using these technologies, people have transformed way they live, interact with each other their surroundings, daily routines, how monitor health conditions. We review recent advances in area wearable focusing aspects such as sensor communication infrastructures, service security, privacy. also use consumer wearables during coronavirus disease 19 (COVID-19) pandemic caused by severe acute respiratory syndrome 2 (SARS-CoV-2), we discuss open challenges must be addressed to further improve efficacy systems future.

Language: Английский

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Fuzzy-based hunger games search algorithm for global optimization and feature selection using medical data

Neural Computing and Applications, Journal Year: 2022, Volume and Issue: 35(7), P. 5251 - 5275

Published: Nov. 1, 2022

Feature selection (FS) is one of the basic data preprocessing steps in mining and machine learning. It used to reduce feature size increase model generalization. In addition minimizing dimensionality, it also enhances classification accuracy reduces complexity, which are essential several applications. Traditional methods for often fail optimal global solution due large search space. Many hybrid techniques have been proposed depending on merging strategies individually as a FS problem. This study proposes modified hunger games algorithm (mHGS), solving optimization problems. The main advantages mHGS resolve following drawbacks that raised original HGS; (1) avoiding local search, (2) problem premature convergence, (3) balancing between exploitation exploration phases. has evaluated by using IEEE Congress Evolutionary Computation 2020 (CEC'20) test ten medical chemical datasets. dimensions up 20000 features or more. results compared variety well-known methods, including improved multi-operator differential evolution (IMODE), gravitational algorithm, grey wolf optimization, Harris Hawks whale slime mould search. experimental suggest can generate effective without increasing computational cost improving convergence speed. SVM performance.

Language: Английский

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