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  1.  2
    USAD: An Intelligent System for Slang and Abusive Text Detection in PERSO-Arabic-Scripted Urdu.Nauman Ul Haq, Mohib Ullah, Rafiullah Khan, Arshad Ahmad, Ahmad Almogren, Bashir Hayat & Bushra Shafi - 2020 - Complexity 2020:1-7.
    The use of slang, abusive, and offensive language has become common practice on social media. Even though social media companies have censorship polices for slang, abusive, vulgar, and offensive language, due to limited resources and research in the automatic detection of abusive language mechanisms other than English, this condemnable act is still practiced. This study proposes USAD, a lexicon-based intelligent framework to detect abusive and slang words in Perso-Arabic-scripted Urdu Tweets. Furthermore, due to the nonavailability of the standard dataset, we (...)
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  2. NN-QuPiD Attack: Neural Network-Based Privacy Quantification Model for Private Information Retrieval Protocols.Rafiullah Khan, Mohib Ullah, Atif Khan, Muhammad Irfan Uddin & Maha Al-Yahya - 2021 - Complexity 2021:1-8.
    Web search engines usually keep users’ profiles for multiple purposes, such as result ranking and relevancy, market research, and targeted advertisements. However, user web search history may contain sensitive and private information about the user, such as health condition, personal interests, and affiliations that may infringe users’ privacy since a user’s identity may be exposed and misused by third parties. Numerous techniques are available to address privacy infringement, including Private Information Retrieval protocols that use peer nodes to preserve privacy. Previously, (...)
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    SiFSO: Fish Swarm Optimization-Based Technique for Efficient Community Detection in Complex Networks.Yasir Ahmad, Mohib Ullah, Rafiullah Khan, Bushra Shafi, Atif Khan, Mahdi Zareei, Abdallah Aldosary & Ehab Mahmoud Mohamed - 2020 - Complexity 2020:1-9.
    Efficient community detection in a complex network is considered an interesting issue due to its vast applications in many prevailing areas such as biology, chemistry, linguistics, social sciences, and others. There are several algorithms available for network community detection. This study proposed the Sigmoid Fish Swarm Optimization algorithm to discover efficient network communities. Our proposed algorithm uses the sigmoid function for various fish moves in a swarm, including Prey, Follow, Swarm, and Free Move, for better movement and community detection. The (...)
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    Acute Myeloid Leukemia (AML) Detection Using AlexNet Model.Maneela Shaheen, Rafiullah Khan, R. R. Biswal, Mohib Ullah, Atif Khan, M. Irfan Uddin, Mahdi Zareei & Abdul Waheed - 2021 - Complexity 2021:1-8.
    Acute Myeloid Leukemia is a kind of fatal blood cancer with a high death rate caused by abnormal cells’ rapid growth in the human body. The usual method to detect AML is the manual microscopic examination of the blood sample, which is tedious and time-consuming and requires a skilled medical operator for accurate detection. In this work, we proposed an AlexNet-based classification model to detect Acute Myeloid Leukemia in microscopic blood images and compared its performance with LeNet-5-based model in Precision, (...)
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