Javad Hassannataj Joloudari
Orcid: 0000-0001-9374-2326Affiliations:
- University of Birjand, Department of Computer Engineering, Iran
According to our database1,
Javad Hassannataj Joloudari
authored at least 30 papers
between 2019 and 2024.
Collaborative distances:
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Bibliography
2024
3ENB2: end-to-end EfficientNetB2 model with online data augmentation for fire detection.
Signal Image Video Process., September, 2024
Resource allocation problem and artificial intelligence: the state-of-the-art review (2009-2023) and open research challenges.
Multim. Tools Appl., August, 2024
Enhancing face recognition with latent space data augmentation and facial posture reconstruction.
Expert Syst. Appl., March, 2024
Future Internet, February, 2024
Functional Classification of Spiking Signal Data Using Artificial Intelligence Techniques: A Review.
CoRR, 2024
Complex Emotion Recognition System using basic emotions via Facial Expression, EEG, and ECG Signals: a review.
CoRR, 2024
Malicious URL Detection using optimized Hist Gradient Boosting Classifier based on grid search method.
CoRR, 2024
Comparison Between State-of-the-Art Color Local Binary Pattern-Based Descriptors for Image Retrieval.
IEEE Access, 2024
Enhancing Interpretability in Machine Learning: A Focus on Genetic Network Programming, Its Variants, and Applications.
Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024
Improving Prediction of Mortality in ICU via Fusion of SelectKBest with SMOTE Method and Extra Tree Classifier.
Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024
Enhancing Coronary Artery Disease Classification Using Optimized MLP Based on Genetic Algorithm.
Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024
2023
Soc. Netw. Anal. Min., December, 2023
Oper. Res. Forum, March, 2023
CoRR, 2023
2022
CoRR, 2022
CCTCOVID: COVID-19 Detection from Chest X-Ray Images Using Compact Convolutional Transformers.
CoRR, 2022
CoRR, 2022
Resource allocation optimization using artificial intelligence methods in various computing paradigms: A Review.
CoRR, 2022
FCM-DNN: diagnosing coronary artery disease by deep accuracy Fuzzy C-Means clustering model.
CoRR, 2022
2021
Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data.
ACM Trans. Multim. Comput. Commun. Appl., 2021
GSVMA: A Genetic-Support Vector Machine-Anova method for CAD diagnosis based on Z-Alizadeh Sani dataset.
CoRR, 2021
A Survey of Applications of Artificial Intelligence for Myocardial Infarction Disease Diagnosis.
CoRR, 2021
CNN AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID 19 patients.
CoRR, 2021
Uncertainty-Aware Semi-supervised Method using Large Unlabelled and Limited Labeled COVID-19 Data.
CoRR, 2021
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images.
Biomed. Signal Process. Control., 2021
2020
Coronary Artery Disease Diagnosis; Ranking the Significant Features Using Random Trees Model.
CoRR, 2020
Early Detection of the Advanced Persistent Threat Attack Using Performance Analysis of Deep Learning.
IEEE Access, 2020
Hybrid Machine Learning Model of Extreme Learning Machine Radial basis function for Breast Cancer Detection and Diagnosis; a Multilayer Fuzzy Expert System.
Proceedings of the 2020 RIVF International Conference on Computing and Communication Technologies, 2020
2019
MB-FLEACH: A New Algorithm for Super Cluster Head Selection for Wireless Sensor Networks.
Int. J. Wirel. Inf. Networks, 2019
Hybrid Machine Learning Model of Extreme Learning Machine Radial basis function for Breast Cancer Detection and Diagnosis; a Multilayer Fuzzy Expert System.
CoRR, 2019