IoT-based prediction models in the environmental context: A systematic Literature Review

S Polymeni, E Athanasakis, G Spanos, K Votis… - Internet of Things, 2022 - Elsevier
Undoubtedly, during the last few years, climate change has alerted the research community
of the natural environment sector. Furthermore, the advent of the Internet of Things (IoT) …

Bridging smart technologies and healthy cities: A scoping review using WHO's 6P framework

HS Jeong, H Chung - Sustainable Cities and Society, 2024 - Elsevier
Urbanization's public health challenges have led to smart city initiatives, but the integration
of these technologies within the World Health Organization's (WHO) Healthy Cities …

Machine learning techniques to predict the air quality using meteorological data in two urban areas in Sri Lanka

L Mampitiya, N Rathnayake, LP Leon, V Mandala… - Environments, 2023 - mdpi.com
The effect of bad air quality on human health is a well-known risk. Annual health costs have
significantly been increased in many countries due to adverse air quality. Therefore …

[HTML][HTML] Smart city: A critical assessment of the concept and its implementation in Romanian urban strategies

BC Ibănescu, GC Pascariu, A Bănică… - Journal of Urban …, 2022 - Elsevier
The last decades pressured the cities all over the world to become smarter and to develop
smart initiatives in order to keep up with the global trends. Nevertheless, the pace to reach …

Quantifying climate variation and associated regional air pollution in southern India using Google Earth Engine

R Ayyamperumal, A Banerjee, Z Zhang, N Nazir… - Science of The Total …, 2024 - Elsevier
Climate change and regional air pollution have had significant proportional coherence and
are collectively hazardous for the regional ecosystem. To conduct this present investigation …

Air pollution particulate matter (PM2. 5) prediction in South African cities using machine learning techniques

TD Morapedi, IC Obagbuwa - Frontiers in Artificial Intelligence, 2023 - frontiersin.org
Background Air pollution contributes to the most severe environmental and health problems
due to industrial emissions and atmosphere contamination, produced by climate and traffic …

Improving machine learning diabetes prediction models for the utmost clinical effectiveness

J Shin, J Lee, T Ko, K Lee, Y Choi, HS Kim - Journal of Personalized …, 2022 - mdpi.com
The early prediction of diabetes can facilitate interventions to prevent or delay it. This study
proposes a diabetes prediction model based on machine learning (ML) to encourage …

An Overview of Degradation Strategies for Amitriptyline

C Comanescu, RC Racovita - International Journal of Molecular Sciences, 2024 - mdpi.com
Antidepressant drugs play a crucial role in the treatment of mental health disorders, but their
efficacy and safety can be compromised by drug degradation. Recent reports point to …

Air Pollutants Classification Using Optimized Neural Network Based on War Strategy Optimization Algorithm

GI Sayed, AE Hassanein - Automatic Control and Computer Sciences, 2023 - Springer
Air quality prediction is considered one of complex problems. This is due to volatility,
dynamic nature, and high variability in space and time of particulates and pollutants …

everWeather: A Low-Cost and Self-Powered AIoT Weather Forecasting Station for Remote Areas

S Polymeni, G Spanos, D Tsiktsiris… - Environmental …, 2023 - Springer
Weather constitutes a crucial factor that impacts many of the human outdoor activities,
whether they are related to obligations or pleasure. In the contemporary era, due to climate …