Meenakshi Srivastava
VIDWAN ID: 133237

Dr Meenakshi Srivastava

Female Doctor of Philosophy
Assistant Professor | Amity Institute of Information Technology (Noida)
Amity University, Uttar Pradesh
Uttar Pradesh
Expertise: Computer Science Information Systems
52 Publications
0 Projects
131 Scopus Citations
69 CrossRef
21 Years 1 Month Total Experience
Publications
52 Total
Articles
14
Books
4
Chapters
5
Proceedings
29
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Scopus Scopus
131 Citations
5 h-index
CrossRef CrossRef
69 Citations
3 h-index
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Personal Details

Doctor of Philosophy
N/A
Assistant Professor
Aug 2005 – Present
Amity University, Uttar Pradesh | Amity Institute of Information Technology (Noida)
Engineering and Technology
Computer Science Information Systems

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Scholarly Publications

Efficient Techniques for Detecting Malignant Tumor in Breast at an Early Stage: A Conceptual and Technological Review

Conference Paper
Year: 2021. Pages: 77-89 .
Authors: Namrata Singh; Meenakshi Srivastava

Implementation of a Method Using Image Sequentialization, Patch Embedding and ViT Encoder to Detect the Breast Cancer on RGBA Images and Binary Masks

Conference Paper
Year: 2022. Volume: 1546 CCIS , Pages: 569-592 .
Authors: Tanishka Dixit; Namrata Singh; Geetika Srivastava; Meenakshi Srivastava

Enhancing the Deep Learning-Based Breast Tumor Classification Using Multiple Imaging Modalities: A Conceptual Model

Conference Paper
Year: 2022. Volume: 1546 CCIS , Pages: 329-353 .
Authors: Namrata Singh; Meenakshi Srivastava; Geetika Srivastava

Self-driving Car: Lane Detection and Collision Prevention System

Conference Paper
Year: 2023. Volume: 1749 CCIS , Pages: 549-562 .
Authors: Namrata Singh; Meenakshi Srivastava; Sumit Mohan; Ashif Ali; Varun Kumar Singh; Prashant Singh

Advance Collision Prevention System

Conference Paper
Year: 2023. Volume: 1749 CCIS , Pages: 369-383 .
Authors: Namrata Singh; Meenakshi Srivastava; Sumit Mohan; Ashif Ali; Varun Kumar Singh; Prashant Singh

Preface for the First International Workshop on Artificial Intelligence: Empowering Sustainable Development

Editorial
Year: 2023. Volume: 3619 .

Applying Machine Learning for Ensuring Sustainable Management of Water (SDG6)

Conference Paper
Year: 2023. Volume: 3619 , Pages: 42-56 .

Tomato Leaf Disease Detection and Classification using MobileNetV2 and Extreme Learning Method: A Hybrid Approach

Conference Paper
Year: 2023. Pages: 108-112 .
Authors: Meenakshi Srivastava; Varsha Sisaudia; Jasraj Meena
Showing 1 to 8 of 52 publications