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2020 – today
- 2024
[j7]Tahere Motedayen
, Mahdi Yaghoobi, Maryam Kheirabadi:
Improving mobile mass monitoring in the IoT environment based on Fog computing using an improved forest optimization algorithm. J. Control. Decis. 11(1): 36-49 (2024)- 2022
- [j6]Hadis Ahmadian Yazdi, Seyyed Javad Seyyed Mahdavi Chabok, Maryam Kheirabadi:
Dynamic Educational Recommender System Based on Improved Recurrent Neural Networks Using Attention Technique. Appl. Artif. Intell. 36(1) (2022) - [j5]Pejman Hosseinioun, Maryam Kheirabadi, Seyed Reza Kamel Tabbakh, Reza Ghaemi:
aTask scheduling approaches in fog computing: A survey. Trans. Emerg. Telecommun. Technol. 33(3) (2022) - 2021
- [j4]Elham Gholami, Seyed Reza Kamel Tabbakh, Maryam Kheirabadi:
Increasing the accuracy in the diagnosis of stomach cancer based on color and lint features of tongue. Biomed. Signal Process. Control. 69: 102782 (2021) - 2020
- [j3]Maryam Farshchian Yazdi, Seyed Reza Kamel, Seyyed Javad Seyyed Mahdavi Chabok, Maryam Kheirabadi:
Flight delay prediction based on deep learning and Levenberg-Marquart algorithm. J. Big Data 7(1): 106 (2020) - [j2]Pejman Hosseinioun, Maryam Kheirabadi, Seyed Reza Kamel Tabbakh, Reza Ghaemi:
A new energy-aware tasks scheduling approach in fog computing using hybrid meta-heuristic algorithm. J. Parallel Distributed Comput. 143: 88-96 (2020) - [i1]Elham Gholami, Seyed Reza Kamel Tabbakh, Maryam Kheirabadi:
Proposing method to Increase the detection accuracy of stomach cancer based on colour and lint features of tongue using CNN and SVM. CoRR abs/2011.09962 (2020)
2010 – 2019
- 2019
- [j1]Seyed Reza Kamel, Reyhaneh YaghoubZadeh, Maryam Kheirabadi:
Improving the performance of support-vector machine by selecting the best features by Gray Wolf algorithm to increase the accuracy of diagnosis of breast cancer. J. Big Data 6: 90 (2019)
Coauthor Index
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