Deep learning and artificial intelligence in sustainability: a review of SDGs, renewable energy, and environmental health

Z Fan, Z Yan, S Wen - Sustainability, 2023 - mdpi.com
Artificial intelligence (AI) and deep learning (DL) have shown tremendous potential in
driving sustainability across various sectors. This paper reviews recent advancements in AI …

A review on machine learning and deep learning image-based plant disease classification for industrial farming systems

P Sajitha, AD Andrushia, N Anand, MZ Naser - Journal of Industrial …, 2024 - Elsevier
Plants can be affected by various diseases. As such, the early detection of crop diseases
plays an essential role in the farming industry. However, such detection requires extensive …

[HTML][HTML] Role of artificial intelligence in the diagnosis and treatment of diseases

M Rezaei, E Rahmani, SJ Khouzani, M Rahmannia… - Kindle, 2023 - preferpub.org
Artificial intelligence (AI) is rapidly transforming healthcare, and one of its most promising
applications is in the diagnosis and treatment of diseases. AI algorithms can analyze vast …

Supply chain disruption mitigation strategies to advance future research agenda: A systematic literature review

T Sudan, R Taggar, PK Jena, D Sharma - Journal of Cleaner Production, 2023 - Elsevier
Growing complexity and vulnerability of global supply chains have led to significant
challenges in supply chain functionality. Organizations face shortages, out-of-stock …

Key factors affecting smart building integration into smart city: technological aspects

R Apanavičienė, MMN Shahrabani - Smart Cities, 2023 - mdpi.com
This research presents key factors influencing smart building integration into smart cities
considering the city as a technological system. This paper begins with an overview of the …

[HTML][HTML] The synergistic interplay of artificial intelligence and digital twin in environmentally planning sustainable smart cities: a comprehensive systematic review

SE Bibri, J Huang, SK Jagatheesaperumal… - Environmental Science …, 2024 - Elsevier
In the dynamic landscape of sustainable smart cities, emerging computational technologies
and models are reshaping data-driven planning strategies, practices, and approaches …

Integration of artificial intelligence technology in distance learning in higher education

AA Mahmudi, R Fionasari… - Journal of Social …, 2023 - journal.ypidathu.or.id
Background. Higher education in this digital era is faced with significant changes, especially
with the development of artificial intelligence (AI) technology. Purpose. This research aims to …

Exploring the usage intention of AI-powered devices in smart homes among millennials and zillennials: the moderating role of trust

CH Chin, WPM Wong, TH Cham, JZ Thong… - Young …, 2024 - emerald.com
Purpose This study aims to investigate how artificial intelligence (AI)-powered smart home
devices affect young consumers' requirements for convenience, support, security and …

[HTML][HTML] Artificial intelligence of things for synergizing smarter eco-city brain, metabolism, and platform: Pioneering data-driven environmental governance

SE Bibri, J Huang, J Krogstie - Sustainable Cities and Society, 2024 - Elsevier
Emerging smarter eco-cities, inherently intertwined with environmental governance, function
as experimental sites for testing novel technological solutions and implementing …

Enabling Technologies for Next-Generation Smart Cities: A Comprehensive Review and Research Directions

SA Ali, SA Elsaid, AA Ateya, M ElAffendi, AAA El-Latif - Future Internet, 2023 - mdpi.com
The concept of smart cities, which aim to enhance the quality of urban life through innovative
technologies and policies, has gained significant momentum in recent years. As we …