Browsing by Author "Sirohi, Preeti"

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    A survey on Augmented Virtual Reality: Applications and Future Directions
    (IEEE, 2020) Sirohi, Preeti; Agarwal, Amit; Maheshwari, Piyush
    Augmented Reality (AR) is an evolving technology that reforms different fields like education and learning, manufacturing, health, etc. Companies are experiencing new changes in their process due to the adoption of new technology for their performance improvement and cost reduction. Therefore, research made on AR must consider an interdisciplinary review to understand its role as a hybrid model and generate an organized framework. The integration of emerging technologies has helped in the overall transformation of the business for a better chance. The research investigates the existing integration of innovative augmented reality (AR) technology, which has different application areas. Based on the literature survey, future research directions can be derived for the researchers and practitioners.
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    Predicting Cardiovascular Disease in Patients with Machine Learning and Feature Engineering Techniques
    (IEEE, 2022) Tyagi, Sapna; Sirohi, Preeti; Maheshwari, Piyush
    Cardiac disease prediction and detection are among the most difficult and important jobs encountered by medical practitioners. Heart disease can be caused by a range of factors, including a sedentary lifestyle, stress, alcohol, cigarette intake, and so on. The current prediction algorithms focus on forecasting the illness label though the likelihood of getting the condition is still unknown. This study is conducted to forecast the heart disease progression well in advance so that essential action can be taken before the condition becomes severe. As a result, the research proposes a model for predicting the likelihood of heart disease incidence using logistic regression capabilities.