Opening book details…
Can I read Literature Survey: Navigation System for Visually Impaired People on EtoBox?
Literature Survey: Navigation System for Visually Impaired People by Samruddhi Sangale; Suchitra Morwadkar; Esha Chaugule; Shruti Agarwal; Priyanshu Agarwal is a computer science book available to read on EtoBox.
What is Literature Survey: Navigation System for Visually Impaired People about?
This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Sixth International Conference on Data Management, Analytics and Innovation (ICDMAI 2022), held virtually during January 14–16, 2022. It addresses state-of-the-art topics and discusses challenges and solutions for future devel
Who reads Literature Survey: Navigation System for Visually Impaired People?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Samruddhi Sangale; Suchitra Morwadkar; Esha Chaugule; Shruti Agarwal; Priyanshu Agarwal
- Publisher
- Springer Nature Singapore Pte Ltd Fka Springer Science + Business Media Singapore Pte Ltd
- Published
- 2022
- Language
- EN
- ISBN
- 9789811925993
- Category
- computer science
- Subjects
- Engineering, Mathematics, Science
- Updated
- 2026-03-25
More by Samruddhi Sangale; Suchitra Morwadkar; Esha Chaugule; Shruti Agarwal; Priyanshu Agarwal
Similar books
- A Survey on Real-Time Automated Attendance System — K. Jhansi Lakshmi Bai; K. Sreemae; K. Sairam; B. Praveen Kumar; K. Saketh (2021)
- Advanced Traffic Management System for Smart Cities — Mais Nijim; Viswas Kanumuri; Waseem Alaqqad; Hisham Albataineh (2023)
- Depression Detection Using Hybrid Transformer Networks — Deap Daru; Hitansh Surani; Harit Koladia; Kunal Parmar; Kriti Srivastava (2023)
- Feature Selection Methods for IoT Intrusion Detection System: Comparative Study — Richa Singh; R. L. Ujjwal (2023)
- Analysis and Prediction of Air Pollutant Using Machine Learning — Chalumuru Suresh; B. V. Kiranmayee; Balannolla Sneha (2022)
- Evaluation of Social Human Sentiment Analysis Using Machine Learning Algorithms — Anjali Agarwal; Ajanta Das; Roshni Rupali Das (2022)