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 …
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 …
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
Abstract The application of Artificial Intelligence (AI) in environmental monitoring offers
accurate disaster forecasts, pollution source detection, and comprehensive air and water …
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 …
However, irrational application of pesticides leads to contamination of various components …
Prototype of Monitoring Transportation Pollution Spikes through the Internet of Things Edge Networks
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 …
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 …
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 …
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
The intelligent city is an exceedingly cognizant urban configuration propelled by artificial
intelligence and big data technology. Anticipating chronologically arranged data amassed …
intelligence and big data technology. Anticipating chronologically arranged data amassed …
Eco-Friendly Methods for Combating Air Pollution
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 …
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
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 …
research leverages the Adaptive Neuro-Fuzzy Inference System (ANFIS) as a machine …