2 publications
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Published Subscription
A Comprehensive Review on Brain Tumour Classification through Deep Learning Utilizing Convolutional Neural NetworksBy Sohan Lal Gupta, Vikram Khadelwal, Nimish Arvind, Rajesh Kumar, Girraj Khadelwal
Abstract: Abstract- Convolutional neural networks (CNNs) constitute a widely used deep learning approach that has frequently been applied to the problem of brain tumor diagnosis. Such techniques still face some critical challenges in moving towards clinic application. Brain tumours are classified using a biopsy, which is not normally done before conclusive brain surgery. The enhancement of this technology by machine learning could aid radiologists in tumour detection without the use of …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 12, Issue 3, 2023 · pp. 24–29 Read article →
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Published Subscription
A Study on Data Science Analytics: Addressing Challenges, Exploring Open Research Issues: A Literature Centric ApproachBy Sohan Lal Gupta, Vikram Khandelwal, Nimish Arvind, Rajesh Kumar
Abstract: The rapid growth of data science and analytics has revolutionized industries across the globe. This paper presents a comprehensive examination of the challenges encountered in the field of data science analytics and investigates unresolved research issues through a literature-centric approach. By analyzing recent research papers, articles, and industry reports, this study offers insights into the evolving landscape of data science and the critical challenges that data scientists face. Additionally, it …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 3, 2023 · pp. 70–82 Read article →