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  1. Impact of Lexical Features on Answer Detection Model in Discussion Forums.Atif Khan, Muhammad Adnan Gul, Abdullah Alharbi, M. Irfan Uddin, Shaukat Ali & Bader Alouffi - 2021 - Complexity 2021:1-8.
    Online forums have become the main source of knowledge over the Internet as data are constantly flooded into them. In most cases, a question in a web forum receives several responses, making it impossible for the question poster to obtain the most suitable answer. Thus, an important problem is how to automatically extract the most appropriate and high-quality answers in a thread. Prior studies have used different combinations of both lexical and nonlexical features to retrieve the most relevant answers from (...)
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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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    Ensemble Machine Learning Model for Classification of Spam Product Reviews.Muhammad Fayaz, Atif Khan, Javid Ur Rahman, Abdullah Alharbi, M. Irfan Uddin & Bader Alouffi - 2020 - Complexity 2020:1-10.
    Nowadays, online product reviews have been at the heart of the product assessment process for a company and its customers. They give feedback to a company on improving product quality, planning, and monitoring its business schemes in order to increase sale and gain more profit. They are also helpful for customers to select the right products in less effort and time. Most companies make spam reviews of products in order to increase the products sales and gain more profit. Detecting spam (...)
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  4.  1
    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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    Early Detection of Seasonal Outbreaks From Twitter Data Using Machine Learning Approaches.Samina Amin, Muhammad Irfan Uddin, Duaa H. alSaeed, Atif Khan & Muhammad Adnan - 2021 - Complexity 2021:1-12.
    Seasonal outbreaks have several different periods that occur primarily during winter in temperate regions, while influenza may occur throughout the year in tropical regions, triggering outbreaks more irregularly. Similarly, dengue occurs in the star of the rainy season in early May and reaches its peak in late June. Dengue and flu brought an impact on various countries in the years 2017–2019 and streaming Twitter data reveals the status of dengue and flu outbreaks in the most affected regions. This research work (...)
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    Channel Contention-Based Routing Protocol for Wireless Ad Hoc Networks.Noor Mast, Muhammad Altaf Khan, M. Irfan Uddin, Syed Atif Ali Shah, Atif Khan, Mahmoud Ahmad Al-Khasawneh & Marwan Mahmoud - 2021 - Complexity 2021:1-10.
    With the development of wireless technology, two basic wireless network models that are commonly used, known as infrastructure and wireless ad hoc networks, have been developed. In the literature, it has been observed that channel contention is one of the main reasons for packet drop in WANETs. To handle this problem, this paper presents a routing protocol named CCBR. CCBR tries to determine a least contended path between the endpoints to increase packet delivery ratio and to reduce packet delay and (...)
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  7.  1
    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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