[HTML][HTML] A machine learning-based model for epidemic forecasting and faster drug discovery

KD Stergiou, GM Minopoulos, VA Memos… - Applied Sciences, 2022 - mdpi.com
Today, healthcare system models should have high accuracy and sensitivity so that patients
do not have a misdiagnosis. For this reason, sufficient knowledge of the area is required …

Siber Güvenlikte Yapay Zekanın Rolü ve Önemi: Bir Derleme

MM Mıjwıl, E Sadıkoğlu, E Cengiz, H Candan - Veri Bilimi, 2022 - dergipark.org.tr
Yapay zeka teknolojileri, siber güvenlik de dahil olmak üzere birçok alanı kapsamaktadır.
Siber güvenliğin temel amacı; bilişim sistemlerini bilgisayar korsanları tarafından …

[HTML][HTML] AI-and IoT-assisted sustainable education systems during pandemics, such as COVID-19, for smart cities

MM Kamruzzaman, S Alanazi, M Alruwaili… - Sustainability, 2023 - mdpi.com
The integration of AI and the IoT in education has the potential to revolutionize the way we
learn. Personalized learning, real-time feedback and support, and immersive learning …

Hospital evacuation in large-scale disasters using limited aerial transport resources

M Yazdani, M Haghani - Safety science, 2023 - Elsevier
Hospitals play a key role in providing medical assistance in a post-disaster phase. However,
depending on the nature, scale, and severity of disasters, they may also be affected and may …

[HTML][HTML] Effective use of artificial intelligence in healthcare supply chain resilience using fuzzy decision-making model

M Deveci - Soft Computing, 2023 - Springer
AI technologies are absolutely changing the rules of the game all around the world.
However, the diffusion rate of AI is widely ranging across countries. This study aims to fulfill a …

[HTML][HTML] Integrating Artificial Intelligence into Telemedicine: Revolutionizing Healthcare Delivery

T Rezaei, PJ Khouzani, SJ Khouzani, AM Fard… - Kindle, 2023 - preferpub.org
Abstract Integrating Artificial Intelligence (AI) into telemedicine has emerged as a
groundbreaking approach, revolutionizing the delivery of healthcare services. AI, with its …

Hybrid learning-oriented approaches for predicting Covid-19 time series data: A comparative analytical study

S Mehrmolaei, M Savargiv, MR Keyvanpour - Engineering Applications of …, 2023 - Elsevier
Using medical science alongside time series data analysis can be given a strong tool to
develop efficient decision support systems in Corona pandemic. In this regard, many hybrid …

Disruptive technologies for advancing supply chain resilience

W Liu, Y He, J Dong, Y Cao - Frontiers of Engineering Management, 2023 - Springer
Disruptive technologies provide a new paradigm for supply chain risk management and
bring opportunities and challenges for the improvement of supply chain resilience (SCRes) …

[HTML][HTML] Artificial intelligence for medicine: Progress, challenges, and perspectives

T Huang, H Xu, H Wang, H Huang, Y Xu… - The Innovation …, 2023 - the-innovation.org
Artificial Intelligence (AI) has transformed how we live and how we think, and it will change
how we practice medicine. With multimodal big data, we can develop large medical models …

[HTML][HTML] Contributions of the 5G Network with Respect to Decent Work and Economic Growth (Sustainable Development Goal 8): A Systematic Review of the Literature

S Beltozar-Clemente, O Iparraguirre-Villanueva… - Sustainability, 2023 - mdpi.com
Decent work and economic growth are fundamental elements for the sustainable
development of a society, with Sustainable Development Goal 8 (SDG8) being one of the …