The smart future for sustainable development: Artificial intelligence solutions for sustainable urbanization

M Al‐Raeei - Sustainable Development, 2024 - Wiley Online Library
Future tools for supporting collaborations between technology and sustainable development
include artificial intelligence (AI) applications in sustainable Urbanization roles. This article …

[HTML][HTML] Human inventions and its environmental challenges, especially artificial intelligence: New challenges require new thinking

M Adnan, B Xiao, MU Ali, S Bibi, H Yu, P Xiao… - Environmental …, 2024 - Elsevier
Artificial Intelligence (AI) is an umbrella term for a wide range of machine intelligence
systems that can replicate the behavior of humans. AI and Big Data have emerged as …

[HTML][HTML] Artificial intelligence in environmental monitoring: Advancements, challenges, and future directions

DB Olawade, OZ Wada, AO Ige, BI Egbewole… - Hygiene and …, 2024 - Elsevier
Abstract The application of Artificial Intelligence (AI) in environmental monitoring offers
accurate disaster forecasts, pollution source detection, and comprehensive air and water …

Breaking boundaries: Artificial intelligence for pesticide detection and eco-friendly degradation

D Banerjee, S Adhikary, S Bhattacharya… - Environmental …, 2024 - Elsevier
Pesticides are extensively used agrochemicals across the world to control pest populations.
However, irrational application of pesticides leads to contamination of various components …

Prototype of Monitoring Transportation Pollution Spikes through the Internet of Things Edge Networks

E Nizeyimana, D Hanyurwimfura, J Hwang, J Nsenga… - Sensors, 2023 - mdpi.com
Air pollution is a critical problem in densely populated urban areas, with traffic significantly
contributing. To mitigate the adverse effects of air pollution on public health and the …

[HTML][HTML] Systematic Review of Machine Learning and Deep Learning Techniques for Spatiotemporal Air Quality Prediction

IE Agbehadji, IC Obagbuwa - Atmosphere, 2024 - mdpi.com
Background: Although computational models are advancing air quality prediction, achieving
the desired performance or accuracy of prediction remains a gap, which impacts the …

[HTML][HTML] Artificial Intelligence for Remote Patient Monitoring: Advancements, Applications, and Challenges

M Farrokhi, F Taheri, A Moeini, M Farrokhi, MZS Alireza… - Kindle, 2024 - preferpub.org
Artificial Intelligence (AI) has emerged as a transformative force in the healthcare sector,
particularly in the realm of remote patient monitoring (RPM). RPM involves the collection …

Ada-STGMAT: An adaptive spatio-temporal graph multi-attention network for intelligent time series forecasting in smart cities

XB Jin, H Ma, JY Xie, J Kong, M Deveci… - Expert Systems with …, 2025 - Elsevier
The intelligent city is an exceedingly cognizant urban configuration propelled by artificial
intelligence and big data technology. Anticipating chronologically arranged data amassed …

Eco-Friendly Methods for Combating Air Pollution

MC Ogwu, B Ro, B Thapa - Sustainable Strategies for Air Pollution …, 2024 - Springer
Air pollution, the presence of harmful or excessive concentrations of pollutants in the Earth's
atmosphere, results in severe health impacts, including respiratory and cardiovascular …

[HTML][HTML] Optimisation of the adaptive neuro-fuzzy inference system for adjusting low-cost sensors PM concentrations

M Casari, PA Kowalski, L Po - Ecological Informatics, 2024 - Elsevier
Driven by the urgent necessity for accurate environmental data in urban settings, this
research leverages the Adaptive Neuro-Fuzzy Inference System (ANFIS) as a machine …