Machine learning for public wellness: optimizing hygiene practices and pollution monitoring in smart cities (400,00 руб.)

Первый автор	Udayakumar
Страниц	7

ID	876960
Аннотация	Public health in urban areas is of paramount importance, particularly in the context of smart cities where technology plays a vital role. The integration of sophisticated infrastructure and data- driven systems in smart cities has the potential to significantly enhance public health outcomes. This improvement hinges on optimizing various factors, especially in the realms of hygiene standards and pollution monitoring. The ability to adhere to stringent hygiene procedures and closely monitor pollutants is essential for mitigating health risks in densely populated urban environments. As metropolitan areas become increasingly complex, there is a pressing need to prioritize the optimization of these processes. Materials and Methods. To address the у

Udayakumar, R. Machine learning for public wellness: optimizing hygiene practices and pollution monitoring in smart cities / R. Udayakumar // Гигиена и санитария .— 2024 .— №3 .— С. 216-222 .— URL: https://rucont.ru/efd/876960 (дата обращения: 21.04.2025)