Aymen Yahyaoui
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View article: Correction: El Othmani et al. AI-driven Automated Blood Cell Anomaly Detection: Enhancing Diagnostics and Telehealth in Hematology. J. Imaging 2025, 11, 157
Correction: El Othmani et al. AI-driven Automated Blood Cell Anomaly Detection: Enhancing Diagnostics and Telehealth in Hematology. J. Imaging 2025, 11, 157 Open
The authors wish to make the following corrections to the published paper [...]
View article: Interpretation of immunofluorescence slides by deep learning techniques: anti-nuclear antibodies case study
Interpretation of immunofluorescence slides by deep learning techniques: anti-nuclear antibodies case study Open
Nowadays, diseases are increasing in numbers and severity by the hour. Immunity diseases, affecting 8\% of the world population in 2017 according to the World Health Organization (WHO), is a field in medicine worth attention due to the hig…
View article: Mental Health Intent Recognition for Arabic-Speaking Patients Using the Mini International Neuropsychiatric Interview (MINI) and BERT Model
Mental Health Intent Recognition for Arabic-Speaking Patients Using the Mini International Neuropsychiatric Interview (MINI) and BERT Model Open
For many years, mental health has been hidden behind a veil of shame and prejudice. In 2017, studies claimed that 10.7% of the global population suffered from mental health disorders. Recently, people started seeking relaxing treatment thr…
View article: Efficient Anomaly Detection for Smart Hospital IoT Systems
Efficient Anomaly Detection for Smart Hospital IoT Systems Open
In critical Internet of Things (IoT) application domains, such as the Defense Industry and Healthcare, false alerts have many negative effects, such as fear, disruption of emergency services, and waste of resources. Therefore, an alert mus…
View article: READ-IoT: Reliable Event and Anomaly Detection Framework for the Internet of Things
READ-IoT: Reliable Event and Anomaly Detection Framework for the Internet of Things Open
International audience