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 …

[HTML][HTML] IoT-PRIDS: Leveraging packet representations for intrusion detection in IoT networks

A Zohourian, S Dadkhah, H Molyneaux, ECP Neto… - Computers & …, 2024 - Elsevier
Abstract The Internet of Things (IoT) devices have been integrated into almost all everyday
applications of human life such as healthcare, transportation and agriculture. This …

The Future of Financial Services: Integrating AI for Smarter, More Efficient Operations

HA Javaid - MZ Journal of Artificial Intelligence, 2024 - mzjournal.com
In the evolving landscape of financial services, the integration of artificial intelligence (AI)
promises to revolutionize operations, driving efficiency and intelligence to unprecedented …

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 …

[HTML][HTML] A Systematic Review of the Applications of AI in a Sustainable Building's Lifecycle

BA Adewale, VO Ene, BF Ogunbayo, CO Aigbavboa - Buildings, 2024 - mdpi.com
Buildings significantly contribute to global energy consumption and greenhouse gas
emissions. This systematic literature review explores the potential of artificial intelegence …

Unlocking Artificial Intelligence adoption in local governments: Best practice lessons from real-world implementations

T Yigitcanlar, A David, W Li, C Fookes, SE Bibri, X Ye - Smart Cities, 2024 - mdpi.com
In an era marked by rapid technological progress, the pivotal role of Artificial Intelligence (AI)
is increasingly evident across various sectors, including local governments. These …