Search Results - "Talaat, Fatma M."

Real-time facial emotion recognition system among children with autism based on deep learning and IoT by 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…”
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Machine learning in detection and classification of leukemia using C-NMC_Leukemia by 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…”
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Improved prostate cancer diagnosis using a modified ResNet50-based deep learning architecture by 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…”
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Enhanced Deep Learning Model for Classification of Retinal Optical Coherence Tomography Images by 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…”
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Automatic stress detection in car drivers based on non-invasive physiological signals using machine learning techniques by 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…”
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An improved fire detection approach based on YOLO-v8 for smart cities by 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…”
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Brain Tumor Detection and Classification Using Deep Learning and Sine-Cosine Fitness Grey Wolf Optimization by 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…”
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CardioRiskNet: A Hybrid AI-Based Model for Explainable Risk Prediction and Prognosis in Cardiovascular Disease by 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…”
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Effective prediction and resource allocation method (EPRAM) in fog computing environment for smart healthcare system by Talaat, Fatma M.

“…Recently, many concepts in technology has been changed. According to the digital transformation trends, Internet of Things (IoT) represents an interested…”
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A Mathematical Model for Customer Segmentation Leveraging Deep Learning, Explainable AI, and RFM Analysis in Targeted Marketing by 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…”
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Route Planning for Autonomous Mobile Robots Using a Reinforcement Learning Algorithm by 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…”
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Crop yield prediction algorithm (CYPA) in precision agriculture based on IoT techniques and climate changes by 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…”
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Effective deep Q-networks (EDQN) strategy for resource allocation based on optimized reinforcement learning algorithm by 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…”
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The effect of consanguineous marriage on reading disability based on deep neural networks by 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…”
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Explainable Enhanced Recurrent Neural Network for lie detection using voice stress analysis by 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…”
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Stress monitoring using wearable sensors: IoT techniques in medical field by 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…”
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A hybrid intrusion detection system (HIDS) based on prioritized k-nearest neighbors and optimized SVM classifiers by Saleh, Ahmed I., Talaat, Fatma M., Labib, Labib M.

“…Intrusion Detection System (IDS) is an effective security tool that helps preventing unauthorized access to network resources through analyzing the network…”
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Utilizing fog computing and explainable deep learning techniques for gestational diabetes prediction by El-Rashidy, Nora, ElSayed, Nesma E., El-Ghamry, Amir, Talaat, Fatma M.

“…Gestational diabetes mellitus (GDM) is one of the pregnancy complications that poses a significant risk on mothers and babies as well. GDM usually diagnosed at…”
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A2M-LEUK: attention-augmented algorithm for blood cancer detection in children by Talaat, Fatma M., Gamel, Samah A.

“…Leukemia is a malignancy that affects the blood and bone marrow. Its detection and classification are conventionally done through labor-intensive and…”
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RL based hyper-parameters optimization algorithm (ROA) for convolutional neural network by Talaat, Fatma M., Gamel, Samah A.

“…Many real-world applications necessitate optimization in dynamic situations, where the difficulty is to locate and follow the optima of a time-dependent…”
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