[HTML][HTML] Managing natural disasters: An analysis of technological advancements, opportunities, and challenges

M Krichen, MS Abdalzaher, M Elwekeil… - Internet of Things and …, 2023 - Elsevier
Natural disasters (NDs) have always been a major threat to human lives and infrastructure,
causing immense damage and loss. In recent years, the increasing frequency and severity …

Developments in image processing using deep learning and reinforcement learning

J Valente, J António, C Mora, S Jardim - Journal of Imaging, 2023 - mdpi.com
The growth in the volume of data generated, consumed, and stored, which is estimated to
exceed 180 zettabytes in 2025, represents a major challenge both for organizations and for …

A deep learning methodology for predicting cybersecurity attacks on the internet of things

OA Alkhudaydi, M Krichen, AD Alghamdi - Information, 2023 - mdpi.com
With the increasing severity and frequency of cyberattacks, the rapid expansion of smart
objects intensifies cybersecurity threats. The vast communication traffic data between …

Survey on blockchain-based data storage security for android mobile applications

HS Musa, M Krichen, AA Altun, M Ammi - Sensors, 2023 - mdpi.com
This research paper investigates the integration of blockchain technology to enhance the
security of Android mobile app data storage. Blockchain holds the potential to significantly …

Formal methods and validation techniques for ensuring automotive systems security

M Krichen - Information, 2023 - mdpi.com
The increasing complexity and connectivity of automotive systems have raised concerns
about their vulnerability to security breaches. As a result, the integration of formal methods …

Artificial Intelligence for multiple sclerosis management using retinal images: pearl, peaks, and pitfalls

S Farabi Maleki, M Yousefi, S Afshar… - Seminars in …, 2024 - Taylor & Francis
Multiple sclerosis (MS) is a complex autoimmune disease characterized by inflammatory
processes, demyelination, neurodegeneration, and axonal damage within the central …

Breast cancer detection and prevention using machine learning

A Khalid, A Mehmood, A Alabrah, BF Alkhamees… - Diagnostics, 2023 - mdpi.com
Breast cancer is a common cause of female mortality in developing countries. Early
detection and treatment are crucial for successful outcomes. Breast cancer develops from …

Integration of deep learning into the iot: A survey of techniques and challenges for real-world applications

A Elhanashi, P Dini, S Saponara, Q Zheng - Electronics, 2023 - mdpi.com
The internet of things (IoT) has emerged as a pivotal technological paradigm facilitating
interconnected and intelligent devices across multifarious domains. The proliferation of IoT …

Surface defect detection of hot rolled steel based on multi-scale feature fusion and attention mechanism residual block

H Zhang, S Li, Q Miao, R Fang, S Xue, Q Hu, J Hu… - Scientific Reports, 2024 - nature.com
To improve the precision of defect categorization and localization in images, this paper
proposes an approach for detecting surface defects in hot-rolled steel strips. The approach …

EdgeSVDNet: 5G-enabled detection and classification of vision-threatening diabetic retinopathy in retinal fundus images

A Bilal, X Liu, TI Baig, H Long, M Shafiq - Electronics, 2023 - mdpi.com
The rise of vision-threatening diabetic retinopathy (VTDR) underscores the imperative for
advanced and efficient early detection mechanisms. With the integration of the Internet of …