Suchergebnisse - "Talaat, Fatma M."

Real-time facial emotion recognition system among children with autism based on deep learning and IoT von Talaat, Fatma M.

“… Diagnosis of autism considers a challenging task for medical experts since the medical diagnosis mainly depends on the abnormalities in the brain functions …”
Volltext

Machine learning in detection and classification of leukemia using C-NMC_Leukemia von Talaat, Fatma M., Gamel, Samah A.

“… A significant issue in the field of illness diagnostics is the early detection and diagnosis of leukemia, that is, the accurate distinction of malignant …”
Volltext

Improved prostate cancer diagnosis using a modified ResNet50-based deep learning architecture von Talaat, Fatma M., El-Sappagh, Shaker, Alnowaiser, Khaled, Hassan, Esraa

“… Prostate cancer, the most common cancer in men, is influenced by age, family history, genetics, and lifestyle factors. Early detection of prostate cancer using …”
Volltext

Automatic stress detection in car drivers based on non-invasive physiological signals using machine learning techniques von Siam, Ali I., Gamel, Samah A., Talaat, Fatma M.

“… Stress is now thought to be a major cause to a wide range of human health issues. However, many people may ignore their stress feelings and disregard to take …”
Volltext

Enhanced Deep Learning Model for Classification of Retinal Optical Coherence Tomography Images von Hassan, Esraa, Elmougy, Samir, Ibraheem, Mai R., Hossain, M. Shamim, AlMutib, Khalid, Ghoneim, Ahmed, AlQahtani, Salman A., Talaat, Fatma M.

“… Retinal optical coherence tomography (OCT) imaging is a valuable tool for assessing the condition of the back part of the eye. The condition has a great effect …”
Volltext

Attention based unified architecture for Arabic text detection on traffic panels to advance autonomous navigation in natural scenes von Hassan, Basma M., Gamel, Samah A., Talaat, Fatma M.

“… The increasing reliance on autonomous navigation systems necessitates robust methods for detecting and recognizing textual information in natural scenes, …”
Volltext

Brain Tumor Detection and Classification Using Deep Learning and Sine-Cosine Fitness Grey Wolf Optimization von ZainEldin, Hanaa, Gamel, Samah A., El-Kenawy, El-Sayed M., Alharbi, Amal H., Khafaga, Doaa Sami, Ibrahim, Abdelhameed, Talaat, Fatma M.

“… Diagnosing a brain tumor takes a long time and relies heavily on the radiologist’s abilities and experience. The amount of data that must be handled has …”
Volltext

An improved fire detection approach based on YOLO-v8 for smart cities von Talaat, Fatma M., ZainEldin, Hanaa

“… Fires in smart cities can have devastating consequences, causing damage to property, and endangering the lives of citizens. Traditional fire detection methods …”
Volltext

A New Reliable System For Managing Virtual Cloud Network von Alshathri, Samah, M. Talaat, Fatma, A. Nasr, Aida

“… Virtual cloud network (VCN) usage is popular today among large and small organizations due to its safety and money-saving. Moreover, it makes all resources in …”
Volltext

CardioRiskNet: A Hybrid AI-Based Model for Explainable Risk Prediction and Prognosis in Cardiovascular Disease von Talaat, Fatma M., Elnaggar, Ahmed R., Shaban, Warda M., Shehata, Mohamed, Elhosseini, Mostafa

“… The global prevalence of cardiovascular diseases (CVDs) as a leading cause of death highlights the imperative need for refined risk assessment and …”
Volltext

Real‐Time Forest Fire Detection, Monitoring, and Mitigation to Safeguard Humanity Using YOLO and Federated Learning von Aldughayfiq, Bader, Alrashdi, Ibrahim, Tawfeek, Medhat A., Jamel, Leila, Shaban, Warda M., Talaat, Fatma M.

“… Wildfires present a significant danger to ecosystems, property, and human life. Early detection and quick action are the most important things to do to lessen …”
Volltext

Effective deep Q-networks (EDQN) strategy for resource allocation based on optimized reinforcement learning algorithm von Talaat, Fatma M.

“… The healthcare industry has always been an early adopter of new technology and a big benefactor of it. The use of reinforcement learning in the healthcare …”
Volltext

A Mathematical Model for Customer Segmentation Leveraging Deep Learning, Explainable AI, and RFM Analysis in Targeted Marketing von Talaat, Fatma M., Aljadani, Abdussalam, Alharthi, Bshair, Farsi, Mohammed A., Badawy, Mahmoud, Elhosseini, Mostafa

“… In the evolving landscape of targeted marketing, integrating deep learning (DL) and explainable AI (XAI) offers a promising avenue for enhanced customer …”
Volltext

Effective prediction and resource allocation method (EPRAM) in fog computing environment for smart healthcare system von Talaat, Fatma M.

“… Recently, many concepts in technology has been changed. According to the digital transformation trends, Internet of Things (IoT) represents an interested …”
Volltext

Crop yield prediction algorithm (CYPA) in precision agriculture based on IoT techniques and climate changes von Talaat, Fatma M.

“… Agriculture faces a significant challenge in predicting crop yields, a critical aspect of decision-making at international, regional, and local levels. Crop …”
Volltext

Route Planning for Autonomous Mobile Robots Using a Reinforcement Learning Algorithm von Talaat, Fatma M., Ibrahim, Abdelhameed, El-Kenawy, El-Sayed M., Abdelhamid, Abdelaziz A., Alhussan, Amel Ali, Khafaga, Doaa Sami, Salem, Dina Ahmed

“… This research suggests a new robotic system technique that works specifically in settings such as hospitals or emergency situations when prompt action and …”
Volltext

Stress monitoring using wearable sensors: IoT techniques in medical field von Talaat, Fatma M., El-Balka, Rana Mohamed

“… The concept “Internet of Things” (IoT), which facilitates communication between linked devices, is relatively new. It refers to the next generation of the …”
Volltext

Explainable Enhanced Recurrent Neural Network for lie detection using voice stress analysis von Talaat, Fatma M.

“… 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 …”
Volltext

Enhancing crop recommendation systems with explainable artificial intelligence: a study on agricultural decision-making von Shams, Mahmoud Y., Gamel, Samah A., Talaat, Fatma M.

“… Crop Recommendation Systems are invaluable tools for farmers, assisting them in making informed decisions about crop selection to optimize yields. These …”
Volltext

The effect of consanguineous marriage on reading disability based on deep neural networks von Talaat, Fatma M.

“… For knowledge acquisition and social engagement, reading comprehension is essential. However, 20% or so of younger students have trouble with it. In order to …”
Volltext