Advances in image and data processing using VLSI design.

---

"Version: 20220701"--Title page verso.Includes bibliographical references.1. Biomedical image signal processing and its VLSI implementation--past, present and future / G.R. Sinha, Sandeep Saini, Kusum Lata and Abhishek Sharm -- 2. Methodology for real-time processing of medical images, based on GPU architecture / Wilver Auccahuasi, Lucas Herrera, Karin Rojas, Kitty Urbano, Nicanor Benites, Edward Flores, Carlos Ledezma, Aly Auccahuasi, Zoila Ayvar, Juana Sandivar, Edwin Felix, Francisco Hilario, Jenny Zavaleta and Milner Liendo -- 3. Genesis of abdominal electrode placements to create a non-invasive FECG database for scientific research / Niyan Joseph Savio Marchon, Bidyadhar Subudhi and Sujit Kumar Sahoo -- 4. Unsupervised convolutional neural network model for breast cancer detection / Neetu Sikarwar and Ranjeet Singh Tomar -- 5. Sign language recognition (SLR) system for hearing-impaired people and those with speech disability : a review / Amit Sinhal and Surbhi Maheshwari -- 6. Image recognition with speech / Geetanjali Sharma and Neelam Nehra -- 7. Methodology for the creation and evaluation of a database of medical images : cerebral cysticercosis case / Wilver Auccahuasi, Lucas Herrera, Karin Rojas, Kitty Urbano, Nicanor Benites, Edward Flores, Jorge Del Carpio, Aly Auccahuasi, Madelaine Bernardo, Grisi Bernardo, Edwin Felix, Francisco Hilario, Jenny Zavaleta and Milner Liendo -- 8. Smart homes : the next urban evolution in smart cities for elderly and disabled people to give a better quality of life / Ajay Singh Mavai, Venkatadri Marriboyina and Abhishek Sharma -- 9. Practical techniques for the fight against COVID-19 : using today's technology to make prevention strategy more efficient and effective / Amit Saxena, Kshitij Shinghal, Rajul Misra and Amit Sharma -- 10. Field programmable gate array implementation of MRI image segmentation for brain tumor detection and classification using a deep learning algorithm / Ramasamy Mariappan and Anitha Arumalla -- 11. A review on secure image transfer techniques and hardware security / Prashant Singh, Kusum Lata and Sandeep Saini -- 12. Design and development of an iOS mobile application with the help of VLSI design / Payal Bansal, Vipin Gupta and Nagendra Kumar Swarnkar -- 13. High level synthesis of fingerprint authentication system / S. Udaya Shankar and K. Rajalakshmi -- 14. An efficient 24x7 patient's vital parameter monitoring framework using machine learning based Internet of Biomedical Things : a comprehensive approach / M. Parimala Devi, Mani Deepak Choudhry, M. Sundarrajan and P. Sivapriyanga -- 15. FPGA implementation for machine learning based automatic facial emotion recognition system / S. Saravanan, M. Lavanya, R. Vijay Sai Chandra Mouli Venkata Srinivas Akana and M. Arunadevi -- 16. Role of reduction techniques in VLSI design / Payal Bansal, Uma and Abhishek Sharma.VLSI is a well-established field of research that ignited the modern computing revolution. Serving as a guide to future developments, this book provides the frame of design, modeling concepts, and application of Image Processing based systems using VLSI design techniques.Academic and industrial researchers.Also available in print.Mode of access: World Wide Web.System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.Dr. Sandeep Saini has been active in field of VLSI design and hardware implementation for more than a decade.Title from PDF title page (viewed on August 5, 2022).

---

Availability

No copy data

Detail Information

Series Title

-

Call Number

-

Publisher

: .,

Collation

1 online resource (various pagings) :illustrations (some color).

Language

English

ISBN/ISSN

9780750339230

Classification

621.367

Content Type

-

Media Type

-

Carrier Type

-

Edition

-

Subject(s)

Image processing.
Imaging systems.
Intelligent sensors.
Engineering.
Integrated circuits

Specific Detail Info

-

Statement of Responsibility

edited by Sandeep Saini, Kusum Lata, Abhishek Sharma, G.R. Sinha.

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment