Search Results - "Mostafaei, Sahar Hassanzadeh"

  • Showing 1 - 11 results of 11
Refine Results
  1. 1

    Biological Signals for Diagnosing Sleep Stages Using Machine Learning Models by Hassanzadeh Mostafaei, Sahar, Tanha, Jafar, Sharafkhaneh, Amir, Agrawal, Ritwick, Hassanzadeh Mostafaei, Zohair

    “…Sleep quality is important for health and can prevent diseases. Polysomnography is a standard scientific and clinical tool to evaluate sleep. Sleep staging is…”
    Get full text
    Conference Proceeding
  2. 2

    Multi Model CNN Based Gas Meter Characters Recognition by Tarhib, Sanaz, Tanha, Jafar, Imanzadeh, Soodabeh, Mostafaei, Sahar Hassanzadeh

    “…In the realm of computer vision, the identification and extraction of text from photographs of natural scenes is a very difficult task. Convolutional neural…”
    Get full text
    Conference Proceeding
  3. 3

    A Deep Ensemble model to Recognize Human Activities using inertial sensors on smartphones by Imanzadeh, Soodabeh, Tanha, Jafar, Razzaghi-Asl, Nazila, Mostafaei, Sahar Hassanzadeh, Samadi, Negin, Tarhib, Sanaz

    “…Human Activity Recognition (HAR) is a crucial area of research in the fields of health and human-machine interaction. Smartphones have emerged as a popular…”
    Get full text
    Conference Proceeding
  4. 4

    A CNN-BiLSTM based deep learning model to sentiment analysis by Younesi, Roghaiyeh Tayefeh, Tanha, Jafar, Namvar, Samaneh, Mostafaei, Sahar Hassanzadeh

    “…Analyzing sentiment from texts constitutes a crucial domain within Natural Language Processing (NLP) and artificial intelligence, given its substantial…”
    Get full text
    Conference Proceeding
  5. 5

    A novel deep learning model based on transformer and cross modality attention for classification of sleep stages by Mostafaei, Sahar Hassanzadeh, Tanha, Jafar, Sharafkhaneh, Amir

    Published in Journal of biomedical informatics (01-09-2024)
    “…[Display omitted] The classification of sleep stages is crucial for gaining insights into an individual’s sleep patterns and identifying potential health…”
    Get full text
    Journal Article
  6. 6

    OUBoost: boosting based over and under sampling technique for handling imbalanced data by Mostafaei, Sahar Hassanzadeh, Tanha, Jafar

    “…Most real-world datasets usually contain imbalanced data. Learning from datasets where the number of samples in one class (minority) is much smaller than in…”
    Get full text
    Journal Article
  7. 7

    An Ensemble Model for Sleep Stages Classification by Mostafaei, Sahar Hassanzadeh, Tanha, Jafar, Sharafkhaneh, Amir, Mostafaei, Zohair Hassanzadeh, Ali Al-Jaf, Mohammed Hussein, Babaei, Alireza Fakhim

    “…One of the main parts of health is the quality of sleep. Sleep disorders can be diagnosed using a standard sleep test called polysomnography. Sleep staging is…”
    Get full text
    Conference Proceeding
  8. 8

    A Deep Learning-Based Model for House Number Detection and Recognition by Younesi, Roghaiyeh Tayefeh, Tanha, Jafar, Namvar, Samaneh, Mostafaei, Sahar Hassanzadeh

    “…Detection and recognition of information from natural images pose significant challenges in computer vision, with far-reaching implications for future…”
    Get full text
    Conference Proceeding
  9. 9

    Feature Selection in Phishing Attack Detection Using Bee Algorithm and Logistic Regression Method by Razzaghi-Asl, Nazila, Tanha, Jafar, Imanzadeh, Soodabeh, Samadi, Negin, Mostafaei, Sahar Hassanzadeh, Nojavan, Sayyad

    “…Phishing attacks are one of the most damaging attacks for internet users. Detecting these attacks is one of the main challenges in the internet security due to…”
    Get full text
    Conference Proceeding
  10. 10

    A boosting based approach to handle imbalanced data by Mostafaei, Sahar Hassanzadeh, Tanha, Jafar, Samadi, Negin, Imanzadeh, Soodabeh, Razzaghi-Asl, Nazila

    “…Most real-world datasets usually contain imbalanced data. Learning from datasets where the number of samples in one class (minority) is much smaller than in…”
    Get full text
    Conference Proceeding
  11. 11

    Spreader node detection based on the Perron-Frobenius theorem in complex networks by Samadi, Negin, Tanha, Jafar, Mostafaei, Sahar Hassanzadeh, Razzaghi-Asl, Nazila, Imanzadeh, Soodabeh

    “…Spreader node detection is a fundamental research topic in complex networks aiming to detect the most influential nodes of the network. Feedback-based…”
    Get full text
    Conference Proceeding