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9 results on '"Kheirabadi, Maryam"'

1. Proposing method to Increase the detection accuracy of stomach cancer based on colour and lint features of tongue using CNN and SVM

Author

Gholami, Elham, Tabbakh, Seyed Reza Kamel, and Kheirabadi, Maryam

Subjects
Computer Science - Neural and Evolutionary Computing, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

Today, gastric cancer is one of the diseases which affected many people's life. Early detection and accuracy are the main and crucial challenges in finding this kind of cancer. In this paper, a method to increase the accuracy of the diagnosis of detecting cancer using lint and colour features of tongue based on deep convolutional neural networks and support vector machine is proposed. In the proposed method, the region of tongue is first separated from the face image by {deep RCNN} \color{black} Recursive Convolutional Neural Network (R-CNN) \color{black}. After the necessary preprocessing, the images to the convolutional neural network are provided and the training and test operations are triggered. The results show that the proposed method is correctly able to identify the area of the tongue as well as the patient's person from the non-patient. Based on experiments, the DenseNet network has the highest accuracy compared to other deep architectures. The experimental results show that the accuracy of this network for gastric cancer detection reaches 91% which shows the superiority of method in comparison to the state-of-the-art methods.

Published
2020

6. Dynamic Educational Recommender System Based on Improved Recurrent Neural Networks Using Attention Technique.

Author

Yazdi, Hadis Ahmadian, Seyyed Mahdavi Chabok, Seyyed Javad, and Kheirabadi, Maryam

Subjects
RECOMMENDER systems, RECURRENT neural networks, DEEP learning, SELF-contained classrooms, SCHOOL environment, ONLINE education, EDUCATIONAL resources
Abstract

Most web-based educational systems contain some drawbacks, as compared to traditional classrooms. Particularly, it becomes difficult for teachers to guide students to choose an appropriate learning resource due to the large number of online learning resources. Meanwhile, student decisions make it more difficult to choose educational resources according to their circumstances. In this matter, the resource recommender system can be employed as an educational environment to recommend the educational resource advice for students, so that these recommendations can be coordinated to each student's preferences and needs. This paper presents the resource recommender system as a combination of MLP, BiLSTM, and LSTM improved deep learning networks using the attention method. Compared to similar studies conducted using DBN networks and focus only on the near past interests and preferences of users, the proposed system provides higher accuracy and more appropriate recommendations considering current interests, in addition to the user's long-term past interests. The proposed recommender system with accuracy of 0.96 and a loss of 0.0822 contains a better performance to recommend resources to students compared to other methods. [ABSTRACT FROM AUTHOR]

Published
2022
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7. Development of Charity and Humanitarian Activities Through Social Networks

Author

Maryam Asadollahi Kheirabadi, Maryam Esmaeilimotlagh, Zeinab Basiri, Oveisi, Kaveh, Alizadeh, Fereshteh, Maryam Asadollahi Kheirabadi, Maryam Esmaeilimotlagh, Zeinab Basiri, Oveisi, Kaveh, and Alizadeh, Fereshteh

Abstract

The current research was conducted with the aim to investigate the effect of social networks on charitable activities. This research was done using the survey method, and a questionnaire was used in order to collect data. The obtained results show that there is a relationship between different aspects of social networks with charitable activities at three levels of awareness, acceptance and implementation. The positive value r = 0.73 indicates that changes in both variables -charitable activities and social media usage- occur simultaneously. It can be concluded that this relationship is valid at the 99 % level.

Published
2019

8. Study of Financial Crisis Management in Tourism Industry

Author

Alizadeh, Fereshteh, Manna, Mohsen, Kashisaz, Sara, Asadollahi Kheirabadi, Maryam, Basiri, Zeinab, Esmaeilimotlagh, Maryam, Alizadeh, Fereshteh, Manna, Mohsen, Kashisaz, Sara, Asadollahi Kheirabadi, Maryam, Basiri, Zeinab, and Esmaeilimotlagh, Maryam

Abstract

The present paper aims to defining and analyzing crisis in the tourism industry. This paper proposed practical solutions to confront the crisis in tourism industry and used the Failure Mode and Effects Analysis technique via explanatory combinatorial methods. As a result, in order to manage the crisis, the structure of failure should be defined and codified for all processes of tourism system in the first stage. In conclusion, this industry is in need of prediction and systematic planning for probable dangers to maintain the continuation of activity and growth of profitability

Published
2019

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