Experts and intelligent systems for smart homes' Transformation to Sustainable Smart Cities: A comprehensive review

NU Huda, I Ahmed, M Adnan, M Ali, F Naeem - Expert Systems with …, 2024 - Elsevier
In this constantly evolving landscape of urbanization, the relationship between technology
and automation, in regards to sustainability, holds immense significance. The intricate …

Using artificial intelligence to improve public health: a narrative review

DB Olawade, OJ Wada, AC David-Olawade… - Frontiers in Public …, 2023 - frontiersin.org
Artificial intelligence (AI) is a rapidly evolving tool revolutionizing many aspects of
healthcare. AI has been predominantly employed in medicine and healthcare …

[HTML][HTML] AI-assisted Screening and Prevention Programs for Diseases

M Farrokhi, A Moeini, F Taheri, M Farrokhi… - Kindle, 2023 - preferpub.org
AI-assisted screening and prevention programs have the potential to revolutionize disease
management and improve public health outcomes. By harnessing the power of artificial …

[HTML][HTML] AI for science: predicting infectious diseases

AP Zhao, S Li, Z Cao, PJH Hu, J Wang, Y Xiang… - Journal of Safety …, 2024 - Elsevier
The global health landscape has been persistently challenged by the emergence and re-
emergence of infectious diseases. Traditional epidemiological models, rooted in the early …

The effectiveness of deep learning vs. traditional methods for lung disease diagnosis using chest X-ray images: A systematic review

S Sajed, A Sanati, JE Garcia, H Rostami… - Applied Soft …, 2023 - Elsevier
Recently, deep learning has proven to be a successful technique especially in medical
image analysis. This paper aims to highlight the importance of deep learning architectures in …

Diabetes Detection Models in Mexican Patients by Combining Machine Learning Algorithms and Feature Selection Techniques for Clinical and Paraclinical Attributes …

A García-Domínguez, CE Galván-Tejada… - Journal of Diabetes …, 2023 - Wiley Online Library
The development of medical diagnostic models to support healthcare professionals has
witnessed remarkable growth in recent years. Among the prevalent health conditions …

Challenges and solutions in clinical research during the COVID‐19 pandemic: A narrative review

M Nomali, N Mehrdad, ME Heidari, A Ayati… - Health science …, 2023 - Wiley Online Library
Abstract Background and Aims The COVID‐19 pandemic has presented significant
challenges to clinical research, necessitating the adoption of innovative and remote …

Medical images classification using deep learning: a survey

R Kumar, P Kumbharkar, S Vanam… - Multimedia Tools and …, 2024 - Springer
Deep learning has made significant advancements in recent years. The technology is
rapidly evolving and has been used in numerous automated applications with minimal loss …

On the adoption of modern technologies to fight the COVID-19 pandemic: a technical synthesis of latest developments

A Majeed, X Zhang - COVID, 2023 - mdpi.com
In the ongoing COVID-19 pandemic, digital technologies have played a vital role to minimize
the spread of COVID-19, and to control its pitfalls for the general public. Without such …

Block-scrambling-based encryption with deep-learning-driven remote sensing image classification

FS Alsubaei, AA Alneil, A Mohamed, A Mustafa Hilal - Remote Sensing, 2023 - mdpi.com
Remote sensing is a long-distance measuring technology that obtains data about a
phenomenon or an object. Remote sensing technology plays a crucial role in several …