Fatma M. Talaat
Orcid: 0000-0001-6116-2191
According to our database1,
Fatma M. Talaat
authored at least 28 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Improved prostate cancer diagnosis using a modified ResNet50-based deep learning architecture.
BMC Medical Informatics Decis. Mak., December, 2024
Correction to: Utilizing social media and machine learning for personality and emotion recognition using PERS.
Neural Comput. Appl., April, 2024
Enhancing crop recommendation systems with explainable artificial intelligence: a study on agricultural decision-making.
Neural Comput. Appl., April, 2024
Multim. Tools Appl., April, 2024
Explainable Enhanced Recurrent Neural Network for lie detection using voice stress analysis.
Multim. Tools Appl., March, 2024
Multim. Tools Appl., January, 2024
Exploring the effects of pandemics on transportation through correlations and deep learning techniques.
Multim. Tools Appl., January, 2024
Toward interpretable credit scoring: integrating explainable artificial intelligence with deep learning for credit card default prediction.
Neural Comput. Appl., 2024
SleepSmart: an IoT-enabled continual learning algorithm for intelligent sleep enhancement.
Neural Comput. Appl., 2024
2023
Utilizing social media and machine learning for personality and emotion recognition using PERS.
Neural Comput. Appl., November, 2023
Neural Comput. Appl., October, 2023
RL based hyper-parameters optimization algorithm (ROA) for convolutional neural network.
J. Ambient Intell. Humaniz. Comput., October, 2023
Neural Comput. Appl., September, 2023
Neural Comput. Appl., August, 2023
Crop yield prediction algorithm (CYPA) in precision agriculture based on IoT techniques and climate changes.
Neural Comput. Appl., August, 2023
Predicting the impact of no. of authors on no. of citations of research publications based on neural networks.
J. Ambient Intell. Humaniz. Comput., July, 2023
Real-time facial emotion recognition system among children with autism based on deep learning and IoT.
Neural Comput. Appl., June, 2023
Automatic stress detection in car drivers based on non-invasive physiological signals using machine learning techniques.
Neural Comput. Appl., June, 2023
Utilizing fog computing and explainable deep learning techniques for gestational diabetes prediction.
Neural Comput. Appl., April, 2023
Enhanced Deep Learning Model for Classification of Retinal Optical Coherence Tomography Images.
Sensors, 2023
Robust Deep Learning Model for Black Fungus Detection Based on Gabor Filter and Transfer Learning.
Comput. Syst. Sci. Eng., 2023
2022
Effective deep Q-networks (EDQN) strategy for resource allocation based on optimized reinforcement learning algorithm.
Multim. Tools Appl., 2022
Effective prediction and resource allocation method (EPRAM) in fog computing environment for smart healthcare system.
Multim. Tools Appl., 2022
Effective scheduling algorithm for load balancing in fog environment using CNN and MPSO.
Knowl. Inf. Syst., 2022
2020
A load balancing and optimization strategy (LBOS) using reinforcement learning in fog computing environment.
J. Ambient Intell. Humaniz. Comput., 2020
Clust. Comput., 2020
2019
Effective Load Balancing Strategy (ELBS) for Real-Time Fog Computing Environment Using Fuzzy and Probabilistic Neural Networks.
J. Netw. Syst. Manag., 2019
A hybrid intrusion detection system (HIDS) based on prioritized k-nearest neighbors and optimized SVM classifiers.
Artif. Intell. Rev., 2019