2026
article
OpenAlex
Mst Masuma Akter Semi, Arif Hosen, Moustaq Karim Khan Rony, Srabani Das et autres
BACKGROUND: Artificial intelligence (AI) is increasingly embedded in healthcare businesses, promoted for its ability to enhance efficiency, reduce costs and optimize workflows. However, the intersection of profit-driven priorities with patient-centred values presents significant ethical and professional challenges for nurses, who serve as …
bd, us
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Accès ouvert
2026
book-chapter
OpenAlex
A. F. M. Rafid Hassan Akand, Ali Hassan, Mahafuj Hassan, Arif Ahmed Sizan et autres
2025
conference-paper
OpenAlex
Samia Hasan Suha, Md Azharul Islam, Md. Kamruzzaman, Rabeya Khatoon et autres
us
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2025
conference-paper
OpenAlex
Arafat Islam, Arif Hosen, Fahad Ahmed, Adib Hossain et autres
This research addresses the critical need for accurate and transparent carbon credit allocation within blockchain-based trading systems aimed at mitigating climate change. The study develops predictive models for per capita CO2emissions leveraging the Global Carbon Budget 2022 dataset, encompassing historical and cross-national …
us
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2025
conference-paper
OpenAlex
Md Bayzid Kamal, Mashuk Rahman Utsho, Arifa Ahmed, AFM Rafid Hassan Akand et autres
Global agriculture faces critical water scarcity challenges, with conventional irrigation systems wasting 60% of water through evaporation and runoff while struggling to adapt to climate-induced temperature increases of 2.8° C by mid-century. This study proposes an AI-driven smart irrigation system integrating high-frequency …
us
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2025
conference-paper
OpenAlex
Arif Hosen, Nur Vanu, Muslima Begom Riipa, Jannatul Ferdousmou et autres
ESG investments and green bonds have the potential to support green economic growth and advance sustainable finance. US agricultural operations endure a combination of serious concerns between land deterioration and water shortages alongside climate change and heavy use of chemicals that risk …
us
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Accès ouvert
2025
review
OpenAlex
M. Serajul Islam, Arif Hosen, Moustaq Karim Khan Rony, Nur Vanu et autres
Background The integration of artificial intelligence (AI) into public health surveillance is revolutionizing how health threats are monitored, predicted, and managed. Traditional surveillance systems often face challenges such as reporting delays, limited scalability, and inefficiencies in real‐time response. Leveraging approaches such as …
us, bd
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