Cybersecurity risk analysis of electric vehicles charging stations

S Hamdare, O Kaiwartya, M Aljaidi, M Jugran, Y Cao… - Sensors, 2023 - mdpi.com
The increasing availability of Electric Vehicles (EVs) is driving a shift away from traditional
gasoline-powered vehicles. Subsequently, the demand for Electric Vehicle Charging …

[PDF][PDF] Artificial intelligence literacy among healthcare professionals and students: a systematic review

K Kimiafar, M Sarbaz, SM Tabatabaei… - Frontiers in Health …, 2023 - researchgate.net
Results: Of the 10 included studies, 4 (40%) reported a low level of preparation, knowledge,
and literacy. In a study, it was also shown that radiologists had acceptable literacy about AI …

Critical controlling for the network security and privacy based on blockchain technology: A fuzzy dematel approach

F Kamalov, M Gheisari, Y Liu, MR Feylizadeh… - Sustainability, 2023 - mdpi.com
The Internet of Things (IoT) has been considered in various fields in the last decade. With
the increasing number of IoT devices in the community, secure, accessible, and reliable …

Energy-efficient trust-aware secured neuro-fuzzy clustering with sparrow search optimization in wireless sensor network

K Dinesh, SVN Santhosh Kumar - International Journal of Information …, 2024 - Springer
Wireless sensor networks (WSNs) are a distributed collection of sensor nodes which are
distributed geographically in the deployed environment to sense the natural phenomena …

AMTLDC: a new adversarial multi-source transfer learning framework to diagnosis of COVID-19

H Alhares, J Tanha, MA Balafar - Evolving Systems, 2023 - Springer
In recent years, deep learning techniques have been widely used to diagnose diseases.
However, in some tasks, such as the diagnosis of COVID-19 disease, due to insufficient …

Application of machine learning in breast cancer survival prediction using a multimethod approach

SZ Hamedi, H Emami, M Khayamzadeh, R Rabiei… - Scientific Reports, 2024 - nature.com
Breast cancer is one of the most prevalent cancers with an increasing trend in both
incidence and mortality rates in Iran. Survival analysis is a pivotal measure in setting …

Machine unlearning by reversing the continual learning

Y Zhang, Z Lu, F Zhang, H Wang, S Li - Applied Sciences, 2023 - mdpi.com
Recent legislations, such as the European General Data Protection Regulation (GDPR),
require user data holders to guarantee the individual's right to be forgotten. This means that …

ADA‐COVID: Adversarial Deep Domain Adaptation‐Based Diagnosis of COVID‐19 from Lung CT Scans Using Triplet Embeddings

M Aria, E Nourani… - Computational …, 2022 - Wiley Online Library
Rapid diagnosis of COVID‐19 with high reliability is essential in the early stages. To this
end, recent research often uses medical imaging combined with machine vision methods to …

Time-related survival prediction in molecular subtypes of breast cancer using time-to-event deep-learning-based models

S Zarean Shahraki, M Azizmohammad Looha… - Frontiers in …, 2023 - frontiersin.org
Background Breast cancer (BC) survival prediction can be a helpful tool for identifying
important factors selecting the effective treatment reducing mortality rates. This study aims to …

Fungal skin disease classification using the convolutional neural network

TD Nigat, TM Sitote, BM Gedefaw - Journal of Healthcare …, 2023 - Wiley Online Library
Skin is the outer cover of our body, which protects vital organs from harm. This important
body part is often affected by a series of infections caused by fungus, bacteria, viruses …