Skip to main content

and
  1. Article

    Machine learning-based diffusion model for prediction of coronavirus-19 outbreak

    The coronavirus pandemic has been globally impacting the health and prosperity of people. A persistent increase in the number of positive cases has boost the stress among governments across the globe. There is...

    Supriya Raheja, Shreya Kasturia, **aochun Cheng in Neural Computing and Applications (2023)

  2. No Access

    Chapter and Conference Paper

    Towards Sustainable Development: Unveiling False Data with Machine Learning Techniques

    FAKE data and news has increased rapidly to a large mass of people than ever before in this technology era, the main reasons coming from the direct messaging platform and rise of social media. Methods of false...

    Mohammad Naqi, Naresh Kumar, Supriya Raheja in Sustainable Development through Machine Le… (2023)

  3. No Access

    Chapter and Conference Paper

    Prediction of Software Vulnerabilities Using Random Forest Regressor

    The launch of new software technologies with new features helps the developer in software development but it can be prone to vulnerabilities. Software vulnerabilities are still a critical issue for software se...

    Navirah Kamal, Supriya Raheja in Computational Intelligence (2023)

  4. Article

    Correction to: A smart intuitionistic fuzzy‑based framework for round‑robin short‑term scheduler

    Supriya Raheja, Mohammed Alshehri, Ahmed A. Mohamed in The Journal of Supercomputing (2022)

  5. No Access

    Article

    A smart intuitionistic fuzzy-based framework for round-robin short-term scheduler

    A smart intuitionistic fuzzy-based framework is designed to facilitate adaptability by providing continuous changes in the size of time slice to scheduler at run time. The present work models a round-robin sch...

    Supriya Raheja, Mohammed Alshehri, Ahmed A. Mohamed in The Journal of Supercomputing (2022)

  6. No Access

    Chapter

    Automatic Brain Tumor Detection Using Machine Learning and Mixed Supervision

    We present a completely automated cerebrum tumor division technique using Deep Neural Networks (DNNs) in this work. We investigated various designs dependent on K-Nearest Neighbors (KNN); for example, DNNs exp...

    Manoj Kumar, Anuj Rani, Supriya Raheja in Evolving Role of AI and IoMT in the Health… (2021)

  7. No Access

    Chapter

    Classification of Microsoft Office Vulnerabilities: A Step Ahead for Secure Software Development

    Classification of software vulnerability no doubt facilitates the understanding of security-related information and accelerates vulnerability analysis. In the absence of proper classification, it hinders its u...

    Supriya Raheja, Geetika Munjal in Bio-inspired Neurocomputing (2021)

  8. No Access

    Chapter and Conference Paper

    Fuzzy Based Multilevel Feedback Queue Scheduler

    In multilevel feedback queue scheduling algorithm the major concern is to improve the turnaround time by kee** the system responsive to the user. Presence of vagueness in a system can further affect these pe...

    Supriya Raheja, Reena Dadhich, Smita Rajpal in Proceedings of 3rd International Conferenc… (2016)