Volume 5, Issue 1

 

ارسال های اخیر

  • A data Mining Approach using CNN and LSTM to Predict Divorce before Marriage 

    Torabipour, Touba؛ Siadat, Safieh؛ Taghavi, Hosein (University of Science and Culture, 2022-06-01)
    Divorce will have destructive spiritual and material effects, and unfortunately, in this regard recent statistics have shown that solutions provided for its prevention and reduction have not been effective. One of the ...

  • A Recommendation System in the Medical Industry using SW-DBSCAN Algorithm 

    Molaee Fard, Reza؛ Yarahmadi, Payam (University of Science and Culture, 2022-06-01)
    A recommendation system is a system that, based on a limited amount of information provided by users as well as the feedback given to goods, persons, and locations by other users, provides appropriate suggestions to the ...

  • Knowledge Gap Extraction Based on Learner Interaction with Training Videos 

    Bahrani, Yosra؛ Fatemi, Omid (University of Science and Culture, 2022-06-01)
    In recent years, with the advancement of information technology in education, e-learning quality promotion has received increased attention. Numerous criteria exist for promoting learning quality, such as fitness for ...

  • Anomalous Cluster Heads and Nodes in Wireless Sensor Networks 

    Gorgbandi, Sare؛ Brangi, Reza (University of Science and Culture, 2022-06-01)
    The majority of wireless sensor network (WSN) security protocols state that a direct connection from an attacker can give them total control of a sensor node. A high level of security is necessary for the acceptance and ...

  • Persian SMS Spam Detection using Machine Learning and Deep Learning Techniques 

    Khorashadizade, Roya؛ Jafarali Jassbi, Somayyeh؛ Yari, Alireza (University of Science and Culture, 2022-06-01)
    Spams are well-known examples of unsolicited text or messages which are sent by unknown individuals and cause issues for smartphone users. The inconvenience imposed on users, the loss of network traffic, the rise in the ...

  • Online COVID-19 Infection Diagnoses via Chest X-Ray Images using Alexnet Deep Learning Model 

    Heidari, Ali؛ Erfanian, Hamidreza (University of Science and Culture, 2022-06-01)
    Since the outbreak of Covid19 virus to date, various methods have been introduced in order to diagnose the virus infection. One of the most reliable tests is assessing frontal Chest X-Ray(CXR) images. As the virus causes ...

  • A Hybrid Seed Node Selection and No-Retracing Random Walk in Page Rank Algorithm 

    Bastanfard, Azam؛ Kheradbeygi Moghadam, Ali؛ Fallahi RahmatAbadi, Ali (University of Science and Culture, 2022-06-01)
    The random walk technique, which has a reputation for excellent performance, is one method for complex networks sampling. However, reducing the input data size is still a considerable topic to increase the efficiency and ...

  • Statistical and Reliability Analysis of the Iran Railway System as a Complex Network 

    Mosayyebi, Melika؛ Shakibian, Hadi؛ Azmi, Reza (University of Science and Culture, 2022-06-01)
    The transportation networks analysis aims to investigate the system's structural characteristics and dynamical evolution to evaluate the transit services. In this regard, the topological characteristics of the Iran railway ...

  • Expert Detection In Question Answer Communities 

    Salimian, Hamed؛ Fazli, Mohammad Amin؛ Habibi, Jafar (University of Science and Culture, 2022-06-01)
    Community Question Answering has a crucial role in almost all societies nowadays. It is important for the owners of a community to be able to make it better and more reliable. One way to achieve this, is to find the users ...

  • A Survey on Review Spam Detection Methods using Deep Learning Approach 

    Aliarab, Mahmoud؛ Fouladi-Ghaleh, Kazim (University of Science and Culture, 2022-06-01)
    Review spam is an opinion written to promote or demote a product or brand on websites and other internet services by some users. Since it is not easy for humans to recognize these types of opinions, a model can be provided ...

  • Comparing Supervised Machine Learning Models for Covid-19 patient detection using a Combination of Clinical and Laboratory Dataset 

    Mohebbi, Narges؛ Tutunchian, Mehdi؛ Alavi, Meysam؛ Kargari, Mehrdad؛ Kharazmy, Amir Behnam (University of Science and Culture, 2022-06-01)
    COVID-19 is a new variant of SARS-COV-2 which can lead to mild to severe infection in humans. Despite the remarkable efforts to contain the epidemic, the virus spread rapidly around the world and its prevalence continued ...

  • A Fault Tolerant Multi-Controller Framework for SDN DDoS Attacks Detection 

    Valizadeh, Parisa؛ Taghinezhad-Niar, Ahmad (University of Science and Culture, 2022-06-01)
    Network communication shows a variety of issues with the fast expansion of computer devices, ranging from network administration to traffic engineering. A well-known method for improving these connections is Software-Defined ...