Published: Aug. 23, 2024
Language: Английский
Published: Aug. 23, 2024
Language: Английский
Published: May 2, 2024
The current research is directed toward the usage of Internet Things (IoT) solutions for improvement urban environment by joining traffic optimization and pollution management. Through utilization data-driven analysis MATLAB simulations, evaluates effects implemented IoT technologies on management in areas emission reduction. concludes that IoT-related initiatives can make a great difference improvements flow, reducing levels principal pollutants, inspiring move towards more environmentally-friendly modes transport. Moreover paper investigates system's resilient nature energy efficiency making case technological paradigm shift will transform cities planning governance. In addition to these challenges like privacy, data security, access equitable also examined. results survey strongly point out transformative power IOT creation which are pragmatic, sustainable liveable moreover showing future where smart indispensable part solving complexities environmental
Language: Английский
Citations
4Advances in healthcare information systems and administration book series, Journal Year: 2025, Volume and Issue: unknown, P. 83 - 114
Published: Jan. 17, 2025
The synergistic use of the IoMT and generative AI presents healthcare with practically brand-new approaches to long-standing problems. In this chapter, author demonstrates ideas how integrating real-time data gathering solution impact can increase effectiveness personal treatment, capacity identifying diseases avoiding them, organization services. By analyzing key applications introduced by such as surgical robot, remote health monitoring, virtual assistants it is possible evaluate technologies on positive patients' outcomes, decreased rate readmissions, increased engagement. addition, chapter explores technical issues ethical arising from application in privacy issues, integration call for proper regulations technologies.
Language: Английский
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0Published: March 4, 2025
Language: Английский
Citations
0Published: March 15, 2024
This study a new system of real-time monitoring and analysing UV radiation using an integrated method is explored. It combines Arduino MATLAB technologies for data collection subsequent analysis respectively. The main purpose this work to summarize the roles levels, their changes in space time, efficiency different sunscreen methods. By developing sensor network along with algorithm, following able provide holistic views any given area's levels possible health effects exposure. research methodology we adopted includes acquisition information from various time location frames, which next followed by analytical phase evaluate effectiveness photoprotection tools including sunscreen, clothing, shade. In other words, examines association between exposure possibility obtaining skin damage, insisting on use protective measures. Integration alerting into app providing users dispatching notifications accordingly undoubtedly one crucial aspects research. These alerts are aimed at reminding apply measures that they deem suitable. outcomes unveils significant daily geographical variance exposure, identifying peak places major risk. On hand, comparative highlights practical benefits obtained after methods application; show explicitly risk increased damage increases UV. reaction important indicator alert strengthens its informing public guide them write right actions do avoid danger.
Language: Английский
Citations
0Published: Aug. 23, 2024
Language: Английский
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