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    Article

    Dermatological disease prediction and diagnosis system using deep learning

    The prevalence of skin illnesses is higher than that of other diseases. Fungal infection, bacteria, allergies, viruses, genetic factors, and environmental factors are among important causative factors that hav...

    Neda Fatima, Syed Afzal Murtaza Rizvi in Irish Journal of Medical Science (1971 -) (2024)

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    Article

    Enhancing IoT intrusion detection system with modified E-GraphSAGE: a graph neural network approach

    In network intrusion detection, graph neural networks (GNNs) have gained remarkable attention in addressing cybersecurity threats. This research addresses the growing cybersecurity challenges by introducing th...

    Mahsa Mirlashari, Syed Afzal Murtaza Rizvi in International Journal of Information Techn… (2024)

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    Article

    Detection of Lung Diseases for Pneumonia, Tuberculosis, and COVID-19 with Artificial Intelligence Tools

    Chest X-ray imaging is a low-cost, easy way to diagnose lung abnormalities caused by infectious diseases such as COVID-19, pneumonia, or tuberculosis. The primary objective of the study is to carefully analyse...

    Sapna Yadav, Syed Afzal Murtaza Rizvi, Pankaj Agarwal in SN Computer Science (2024)

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    Article

    Feature Engineering to Heterogeneous Cross Software Projects Defect Prediction: A Novel Framework

    Heterogeneous cross-project defect prediction (HCPDP) aims to predict defects in a target project with limited historical defect data via a defect prediction (DP) model trained with defect data of another sour...

    Rohit Vashisht, Syed Afzal Murtaza Rizvi in Arabian Journal for Science and Engineering (2023)

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    Chapter

    Applications of Computational Methods in Natural Products Based Drug Discovery

    Since antiquity, natural resources, mainly plants, have been used for medicinal purposes. The primitive usage was based on a trial-and-error strategy. When time passed, humans started to look deeper into the a...

    Ahmad Abu Turab Naqvi in Natural Product Based Drug Discovery Again… (2023)

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    Chapter and Conference Paper

    To Predicit the Layout of COVID-19 by Using ARIMA Model

    It has been observed that a sudden spurt in the number of COVID positive cases reported in the November 2020. The state government has started taking measure to prevent the spread of pandemic and to avert any ...

    Sandeep Maan, Gian Devi in Smart Systems: Innovations in Computing (2022)

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    Chapter and Conference Paper

    Open Challenges of Communication Security in an IoT Environment—A Survey

    Internet of Things (IoT) is a continuously growing concept in ICT concerning the progression of ubiquitous computing, machine-to-machine (M2M) communication, and wireless sensor networks. IoT is the network of...

    Mahsa Mirlashari, Syed Afzal Murtaza Rizvi in IOT with Smart Systems (2022)

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    Chapter

    How Machine Learning Has Revolutionized the Field of Cancer Informatics?

    Cancer is among the most threatening maladies that humans are struggling to find a cure for ages. Greek physician and philosopher Hippocrates first introduced the world with the word cancer. Historical evidenc...

    Ahmad Abu Turab Naqvi in Machine Learning and Systems Biology in Ge… (2022)

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    Chapter and Conference Paper

    Unsupervised Learning to Heterogeneous Cross Software Projects Defect Prediction

    Heterogeneous Cross-Project Defect Prediction (HCPDP) aims to predict defects with insufficient historical defect data in a target project through a defect prediction (DP) model trained using another source pr...

    Rohit Vashisht, Syed Afzal Murtaza Rizvi in International Conference on Innovative Com… (2022)

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    Chapter and Conference Paper

    Handling Class Imbalance Problem in Heterogeneous Cross-Project Defect Prediction

    Software Defect Prediction (SDP) is one of the key tasks in the testing phase of Software Development Life Cycle (SDLC) that discovers modules that are more susceptible to defects and therefore requires signif...

    Rohit Vashisht, Syed Afzal Murtaza Rizvi in International Conference on Innovative Com… (2021)

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    Chapter and Conference Paper

    Information Credibility on Twitter Using Machine Learning Techniques

    In today’s world, people are highly inclined towards social networking sites like Twitter, which provides a platform where users can have easy access to the high impact occasions/events rising worldwide. Users...

    Faraz Ahmad, Syed Afzal Murtaza Rizvi in Futuristic Trends in Networks and Computin… (2020)

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    Chapter and Conference Paper

    Heterogeneous Cross Project Defect Prediction – A Survey

    In the testing phase of Software Development Life Cycle (SDLC), Software Defect Prediction (SDP) is one of the pivotal task which finds the modules that are more vulnerable to defects and therefore need subst...

    Rohit Vashisht, Syed Afzal Murtaza Rizvi in Futuristic Trends in Networks and Computin… (2020)

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    Chapter and Conference Paper

    The Cascade Generation Nature of Compartmental Models - A Comparative Study

    Since researchers started analyzing online social networks, understanding the characteristics of information propagation has been of immense interest. For the same, information diffusion models have been propo...

    Syed Shafat Ali, Syed Afzal Murtaza Rizvi in Futuristic Trends in Networks and Computin… (2020)

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    Chapter and Conference Paper

    Identification of Credibility Content Measures for Twitter and Sina-Weibo Social Networks

    Twitter has been the most pivotal platform for sharing information, news and messages among the connected people. In the era of social media where a huge amount of information is being shared over the internet...

    Faraz Ahmad, Syed Afzal Murtaza Rizvi in Proceedings of ICETIT 2019 (2020)