A hybrid intrusion detection system (HIDS) based on prioritized k-nearest neighbors and optimized SVM classifiers. - Ahmed I. Saleh; Fatma M. Talaat; Labib M. Labib (Artif. Intell. Rev., 2019)

Effective Load Balancing Strategy (ELBS) for Real-Time Fog Computing Environment Using Fuzzy and Probabilistic Neural Networks. - Fatma M. Talaat; Shereen H. Ali; Ahmed I. Saleh; Hesham A. Ali (J. Netw. Syst. Manag., 2019)

Effective cache replacement strategy (ECRS) for real-time fog computing environment. - Fatma M. Talaat; Shereen H. Ali; Ahmed I. Saleh; Hesham A. Ali (Clust. Comput., 2020)

A load balancing and optimization strategy (LBOS) using reinforcement learning in fog computing environment. - Fatma M. Talaat; Mohamed S. Saraya; Ahmed I. Saleh; Hesham A. Ali; Shereen H. Ali (J. Ambient Intell. Humaniz. Comput., 2020)

Effective scheduling algorithm for load balancing in fog environment using CNN and MPSO. - Fatma M. Talaat; Hesham A. Ali; Mohamed S. Saraya; Ahmed I. Saleh (Knowl. Inf. Syst., 2022)

Effective prediction and resource allocation method (EPRAM) in fog computing environment for smart healthcare system. - Fatma M. Talaat (Multim. Tools Appl., 2022)

Effective deep Q-networks (EDQN) strategy for resource allocation based on optimized reinforcement learning algorithm. - Fatma M. Talaat (Multim. Tools Appl., 2022)

Robust Deep Learning Model for Black Fungus Detection Based on Gabor Filter and Transfer Learning. - Esraa Hassan; Fatma M. Talaat; Samah Adel Gamel; Samir Abdelrazek; Ahsan Aziz; Yunyoung Nam; Nora El-Rashidy (Comput. Syst. Sci. Eng., 2023)

Enhanced Deep Learning Model for Classification of Retinal Optical Coherence Tomography Images. - Esraa Hassan; Samir Elmougy; Mai R. Ibraheem; M. Shamim Hossain; Khalid Al Mutib; Ahmed Ghoneim; Salman A. AlQahtani; Fatma M. Talaat (Sensors, 2023)

Automatic stress detection in car drivers based on non-invasive physiological signals using machine learning techniques. - Ali I. Siam; Samah A. Gamel; Fatma M. Talaat (Neural Comput. Appl., 2023)

Real-time facial emotion recognition system among children with autism based on deep learning and IoT. - Fatma M. Talaat (Neural Comput. Appl., 2023)

Predicting the impact of no. of authors on no. of citations of research publications based on neural networks. - Fatma M. Talaat; Samah A. Gamel (J. Ambient Intell. Humaniz. Comput., 2023)

Crop yield prediction algorithm (CYPA) in precision agriculture based on IoT techniques and climate changes. - Fatma M. Talaat (Neural Comput. Appl., 2023)

A2M-LEUK: attention-augmented algorithm for blood cancer detection in children. - Fatma M. Talaat; Samah A. Gamel (Neural Comput. Appl., 2023)

Stress monitoring using wearable sensors: IoT techniques in medical field. - Fatma M. Talaat; Rana Mohamed El-Balka (Neural Comput. Appl., 2023)

RL based hyper-parameters optimization algorithm (ROA) for convolutional neural network. - Fatma M. Talaat; Samah A. Gamel (J. Ambient Intell. Humaniz. Comput., 2023)

An improved fire detection approach based on YOLO-v8 for smart cities. - Fatma M. Talaat; Hanaa ZainEldin (Neural Comput. Appl., 2023)

Utilizing social media and machine learning for personality and emotion recognition using PERS. - Fatma M. Talaat; Eman M. El-Gendy; Mahmoud M. Saafan; Samah A. Gamel (Neural Comput. Appl., 2023)

Real-time Arabic avatar for deaf-mute communication enabled by deep learning sign language translation. - Fatma M. Talaat; Walid El-Shafai; Naglaa F. Soliman; Abeer D. Algarni; Fathi E. Abd El-Samie; Ali I. Siam (Comput. Electr. Eng., 2024)

SleepSmart: an IoT-enabled continual learning algorithm for intelligent sleep enhancement. - Samah A. Gamel; Fatma M. Talaat (Neural Comput. Appl., 2024)

Toward interpretable credit scoring: integrating explainable artificial intelligence with deep learning for credit card default prediction. - Fatma M. Talaat; Abdussalam Aljadani; Mahmoud Badawy 001; Mostafa A. Elhosseini (Neural Comput. Appl., 2024)

Exploring the effects of pandemics on transportation through correlations and deep learning techniques. - Samah A. Gamel; Esraa Hassan; Nora El-Rashidy; Fatma M. Talaat (Multim. Tools Appl., 2024)

Machine learning in detection and classification of leukemia using C-NMC_Leukemia. - Fatma M. Talaat; Samah A. Gamel (Multim. Tools Appl., 2024)

Explainable Enhanced Recurrent Neural Network for lie detection using voice stress analysis. - Fatma M. Talaat (Multim. Tools Appl., 2024)

Water quality prediction using machine learning models based on grid search method. - Mahmoud Y. Shams; Ahmed M. Elshewey; El-Sayed M. El-Kenawy; Abdelhameed Ibrahim; Fatma M. Talaat; Zahraa Tarek (Multim. Tools Appl., 2024)

Enhancing crop recommendation systems with explainable artificial intelligence: a study on agricultural decision-making. - Mahmoud Y. Shams; Samah A. Gamel; Fatma M. Talaat (Neural Comput. Appl., 2024)

Correction to: Utilizing social media and machine learning for personality and emotion recognition using PERS. - Fatma M. Talaat; Eman M. El-Gendy; Mahmoud M. Saafan; Samah A. Gamel (Neural Comput. Appl., 2024)

The effect of consanguineous marriage on reading disability based on deep neural networks. - Fatma M. Talaat (Multim. Tools Appl., 2024)

Real-time facial emotion recognition model based on kernel autoencoder and convolutional neural network for autism children. - Fatma M. Talaat; Zainab Hassan Ali; Reham R. Mostafa; Nora El-Rashidy (Soft Comput., 2024)

Active convolutional neural networks sign language (ActiveCNN-SL) framework: a paradigm shift in deaf-mute communication. - Hanaa ZainEldin; Nadiah A. Baghdadi; Samah A. Gamel; Mansourah Aljohani; Fatma M. Talaat; Amer Malki; Mahmoud Badawy 001; Mostafa A. El-Hosseini (Artif. Intell. Rev., 2024)

Silent no more: a comprehensive review of artificial intelligence, deep learning, and machine learning in facilitating deaf and mute communication. - Hanaa ZainEldin; Samah A. Gamel; Fatma M. Talaat; Mansourah Aljohani; Nadiah A. Baghdadi; Amer Malki; Mahmoud Badawy 001; Mostafa A. Elhosseini (Artif. Intell. Rev., 2024)

SightAid: empowering the visually impaired in the Kingdom of Saudi Arabia (KSA) with deep learning-based intelligent wearable vision system. - Fatma M. Talaat; Mohammed Farsi; Mahmoud Badawy 001; Mostafa A. El-Hosseini (Neural Comput. Appl., 2024)

AutYOLO-ATT: an attention-based YOLOv8 algorithm for early autism diagnosis through facial expression recognition. - Reham Hosney; Fatma M. Talaat; Eman M. El-Gendy; Mahmoud M. Saafan (Neural Comput. Appl., 2024)

Improved prostate cancer diagnosis using a modified ResNet50-based deep learning architecture. - Fatma M. Talaat; Shaker H. Ali El-Sappagh; Khaled Alnowaiser; Esraa Hassan (BMC Medical Informatics Decis. Mak., 2024)

Dementia diagnosis in young adults: a machine learning and optimization approach. - Fatma M. Talaat; Mai R. Ibraheem (Neural Comput. Appl., 2024)

Securing continuum computing networks: towards robust encryption protocols for saving digital transformation procedures. - Aida Abouelseoud Nasr; Khalid Mohamed Sharaf; Fatma M. Talaat (Int. J. Appl. Cryptogr., 2025)

Revolutionizing cardiovascular health: integrating deep learning techniques for predictive analysis of personal key indicators in heart disease. - Fatma M. Talaat (Neural Comput. Appl., 2025)

Deep attention for enhanced OCT image analysis in clinical retinal diagnosis. - Fatma M. Talaat; Ahmed Ali Ahmed Ali; Raghda ElGendy; Mohamed A. ELShafie (Neural Comput. Appl., 2025)

AI-driven churn prediction in subscription services: addressing economic metrics, data transparency, and customer interdependence. - Fatma M. Talaat; Abdussalam Aljadani (Neural Comput. Appl., 2025)

Intelligent wearable vision systems for the visually impaired in Saudi Arabia. - Fatma M. Talaat; Walid El-Shafai; Naglaa F. Soliman; Abeer D. Algarni; Fathi E. Abd El-Samie (Neural Comput. Appl., 2025)

DeepLeaf: an optimized deep learning approach for automated recognition of grapevine leaf diseases. - Fatma M. Talaat; Mahmoud Y. Shams; Samah A. Gamel; Hanaa ZainEldin (Neural Comput. Appl., 2025)

Enhancing the efficiency of lung cancer screening: predictive models utilizing deep learning from CT scans. - Medhat A. Tawfeek; Ibrahim Alrashdi; Madallah Alruwaili; Warda M. Shaban; Fatma M. Talaat (Neural Comput. Appl., 2025)

Toward precision cardiology: a transformer-based system for adaptive prediction of heart disease. - Fatma M. Talaat; Wesam F. Aly (Neural Comput. Appl., 2025)

Smart navigation system for emergency vehicles (SNSEV): utilizing fog and cloud computing technology for real-time traffic management. - Fatma M. Talaat; Samah A. Gamel (Neural Comput. Appl., 2025)

Integrating V2X solutions in intelligent green cities: an AI-driven point exchange system approach. - Fatma M. Talaat; Warda M. Shaban; Hanaa ZainEldin; Mahmoud Badawy 001; Mostafa A. El-Hosseini (Neural Comput. Appl., 2025)

Smart traffic management system using YOLOv11 for real-time vehicle detection and dynamic flow optimization in smart cities. - Fatma M. Talaat; Rana Mohamed El-Balka; Sara Sweidan; Samah Adel Gamel; Aya M. Al-Zoghby (Neural Comput. Appl., 2025)

Precise fraud detection and risk management with explainable artificial intelligence. - Fatma M. Talaat; T. Medhat; Warda M. Shaban (Neural Comput. Appl., 2025)

Fortifying EV charging stations: AI-powered detection and mitigation of DDoS attacks using personalized Federated learning. - Fatma M. Talaat; Mohamed Mohsen Elsaid Khoudier; Ibrahim F. Moawad; Amir El-Ghamry (Neural Comput. Appl., 2025)