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 …

[HTML][HTML] Unleashing the potential of sixth generation (6G) wireless networks in smart energy grid management: A comprehensive review

MH Alsharif, A Jahid, R Kannadasan, MK Kim - Energy Reports, 2024 - Elsevier
As the world continues to seek sustainable and efficient energy solutions, the integration of
advanced technologies into smart energy grid management (SEGM) becomes a paramount …

[HTML][HTML] Understanding the potential applications of Artificial Intelligence in Agriculture Sector

M Javaid, A Haleem, IH Khan, R Suman - Advanced Agrochem, 2023 - Elsevier
Artificial Intelligence (AI) has been extensively applied in farming recently. To cultivate
healthier crops, manage pests, monitor soil and growing conditions, analyse data for …

Analysis of artificial intelligence-based technologies and approaches on sustainable entrepreneurship

BB Gupta, A Gaurav, PK Panigrahi, V Arya - Technological Forecasting and …, 2023 - Elsevier
Research in the field of entrepreneurship has grown dramatically in the last decade and
currently covers a wide variety of topics and concerns. Development in the field of artificial …

Generation Z use of artificial intelligence products and its impact on environmental sustainability: A cross-cultural comparison

MA Al-Sharafi, M Al-Emran, I Arpaci, NA Iahad… - Computers in Human …, 2023 - Elsevier
Artificial intelligence (AI) products play a significant role in achieving environmental
sustainability. These products can save various resources (eg, energy, water), achieve cost …

Potential of explainable artificial intelligence in advancing renewable energy: challenges and prospects

VN Nguyen, W Tarełko, P Sharma, AS El-Shafay… - Energy & …, 2024 - ACS Publications
Modern machine learning (ML) techniques are making inroads in every aspect of renewable
energy for optimization and model prediction. The effective utilization of ML techniques for …

[HTML][HTML] Artificial Internet of Things, sensor-based digital twin urban computing vision algorithms, and blockchain cloud networks in sustainable smart city …

A Matei, M Cocoșatu - Sustainability, 2024 - mdpi.com
The aim of this paper is to synthesize and analyze existing evidence on interconnected
sensor networks and digital urban governance in data-driven smart sustainable cities. The …

Artificial intelligence and carbon emissions inequality: Evidence from industrial robot application

C Zhao, Y Li, Z Liu, X Ma - Journal of Cleaner Production, 2024 - Elsevier
To figure out equitable and inclusive strategy to mitigate inequality of carbon emissions, we
investigate the solution to narrowing carbon inequality from the perspective of developing …

Integrating ChatGPT, Bard, and leading-edge generative artificial intelligence in building and construction industry: applications, framework, challenges, and future …

N Rane, S Choudhary, J Rane - 2023 - papers.ssrn.com
The infusion of generative artificial intelligence (AI), as exemplified by models such as
ChatGPT and Bard is proving to be a revolutionary catalyst within the building and …

[PDF][PDF] Revolutionizing supply chains using power of generative ai

V Yandrapalli - International Journal of Research Publication and …, 2023 - academia.edu
ABSTRACT A new age of creativity and efficiency is ushered in by the integration of
Generative Artificial Intelligence (AI) into supply chain management. This in-depth study …