[HTML][HTML] Artificial intelligence-based solutions for climate change: a review

L Chen, Z Chen, Y Zhang, Y Liu, AI Osman… - Environmental …, 2023 - Springer
Climate change is a major threat already causing system damage to urban and natural
systems, and inducing global economic losses of over $500 billion. These issues may be …

Potential of latent thermal energy storage for performance improvement in small-scale refrigeration units: A review

TTM Rocha, M Teggar, PV Trevizoli… - … and Sustainable Energy …, 2023 - Elsevier
Over the past two decades, latent thermal energy storage has been a proven technology to
improve the performance of refrigeration appliances. In this work, an up to date literature …

Firms' digitalization in manufacturing and the structure and direction of green innovation

X Liu, F Liu, X Ren - Journal of Environmental Management, 2023 - Elsevier
Green innovation will be one of the main drivers of future economic development. In the
current wave of digital transformation, there is a paucity of literature that considers how …

Effectiveness of energy depletion, green growth, and technological cooperation grants on CO2 emissions in Pakistan's perspective

B Lin, S Ullah - Science of The Total Environment, 2024 - Elsevier
Abstract According to Nationally Determined Contribution (NDC), Pakistan proposed to set a
very ambitious conditional objective of an overall 50% reduction in anticipated emissions by …

[HTML][HTML] AI explainability framework for environmental management research

M Arashpour - Journal of Environmental Management, 2023 - Elsevier
Deep learning networks powered by AI are essential predictive tools relying on image data
availability and processing hardware advancements. However, little attention has been paid …

[HTML][HTML] Deep learning-based models for environmental management: Recognizing construction, renovation, and demolition waste in-the-wild

D Sirimewan, M Bazli, S Raman, SR Mohandes… - Journal of …, 2024 - Elsevier
The construction industry generates a substantial volume of solid waste, often destinated for
landfills, causing significant environmental pollution. Waste recycling is decisive in …

A methodological and theoretical framework for implementing explainable artificial intelligence (XAI) in business applications

D Tchuente, J Lonlac, B Kamsu-Foguem - Computers in Industry, 2024 - Elsevier
Artificial Intelligence (AI) is becoming fundamental in almost all activity sectors in our society.
However, most of the modern AI techniques (eg, Machine Learning–ML) have a black box …

Artificial intelligence in environmental health and public safety: A comprehensive review of USA strategies

A Adefemi, EA Ukpoju, O Adekoya, A Abatan… - World Journal of …, 2023 - wjarr.com
This study explores the transformative role of artificial intelligence (AI) in environmental
health and public safety within the USA, focusing on pollution monitoring, emergency …

[HTML][HTML] How does artificial intelligence promote renewable energy development? The role of climate finance

C Zhao, K Dong, K Wang, R Nepal - Energy Economics, 2024 - Elsevier
Scholars, stakeholders, and the government have given significant attention to the
development of renewable energy in recent times. However, previous research has failed to …

Artificial intelligence enabled carbon capture: A review

AK Priya, B Devarajan, A Alagumalai, H Song - Science of The Total …, 2023 - Elsevier
Carbon capturing is imperative to fight climate change as much carbon emissions are
liberated into the atmosphere, leading to adversely negative environmental impacts. Today's …