[HTML][HTML] An improved fire detection approach based on YOLO-v8 for smart cities
FM Talaat, H ZainEldin - Neural Computing and Applications, 2023 - Springer
Fires in smart cities can have devastating consequences, causing damage to property, and
endangering the lives of citizens. Traditional fire detection methods have limitations in terms …
endangering the lives of citizens. Traditional fire detection methods have limitations in terms …
[HTML][HTML] Machine learning in detection and classification of leukemia using C-NMC_Leukemia
A significant issue in the field of illness diagnostics is the early detection and diagnosis of
leukemia, that is, the accurate distinction of malignant leukocytes with minimal costs in the …
leukemia, that is, the accurate distinction of malignant leukocytes with minimal costs in the …
Designing interpretable ML system to enhance trust in healthcare: A systematic review to proposed responsible clinician-AI-collaboration framework
Background Artificial intelligence (AI)-based medical devices and digital health
technologies, including medical sensors, wearable health trackers, telemedicine, mobile …
technologies, including medical sensors, wearable health trackers, telemedicine, mobile …
[HTML][HTML] A holistic approach to identify and classify COVID-19 from chest radiographs, ECG, and CT-scan images using shufflenet convolutional neural network
Early and precise COVID-19 identification and analysis are pivotal in reducing the spread of
COVID-19. Medical imaging techniques, such as chest X-ray or chest radiographs …
COVID-19. Medical imaging techniques, such as chest X-ray or chest radiographs …
Toward interpretable credit scoring: integrating explainable artificial intelligence with deep learning for credit card default prediction
In recent years, the increasing prevalence of credit card usage has raised concerns about
accurately predicting and managing credit card defaults. While machine learning and deep …
accurately predicting and managing credit card defaults. While machine learning and deep …
[HTML][HTML] Stress monitoring using wearable sensors: IoT techniques in medical field
FM Talaat, RM El-Balka - Neural Computing and Applications, 2023 - Springer
Abstract The concept “Internet of Things”(IoT), which facilitates communication between
linked devices, is relatively new. It refers to the next generation of the Internet. IoT supports …
linked devices, is relatively new. It refers to the next generation of the Internet. IoT supports …
[HTML][HTML] SleepSmart: an IoT-enabled continual learning algorithm for intelligent sleep enhancement
Sleep is an essential physiological process that is crucial for human health and well-being.
However, with the rise of technology and increasing work demands, people are …
However, with the rise of technology and increasing work demands, people are …
[HTML][HTML] Explainable Enhanced Recurrent Neural Network for lie detection using voice stress analysis
FM Talaat - Multimedia Tools and Applications, 2024 - Springer
Lie detection is a crucial aspect of human interactions that affects everyone in their daily
lives. Individuals often rely on various cues, such as verbal and nonverbal communication …
lives. Individuals often rely on various cues, such as verbal and nonverbal communication …
[HTML][HTML] The effect of consanguineous marriage on reading disability based on deep neural networks
FM Talaat - Multimedia Tools and Applications, 2023 - Springer
For knowledge acquisition and social engagement, reading comprehension is essential.
However, 20% or so of younger students have trouble with it. In order to predict the effects of …
However, 20% or so of younger students have trouble with it. In order to predict the effects of …
[HTML][HTML] Improved prostate cancer diagnosis using a modified ResNet50-based deep learning architecture
Prostate cancer, the most common cancer in men, is influenced by age, family history,
genetics, and lifestyle factors. Early detection of prostate cancer using screening methods …
genetics, and lifestyle factors. Early detection of prostate cancer using screening methods …