An Industrial IoT Approach for Pharmaceutical Industry Growth
Volume 2
Publisher: Academic Press
Date of Publication: 15 May 2020
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Product details:
| ISBN13: | 9780128213261 |
| ISBN10: | 0128213264 |
| Binding: | Paperback |
| No. of pages: | 382 pages |
| Size: | 229x151 mm |
| Weight: | 590 g |
| Language: | English |
| Illustrations: | 160 illustrations (45 in full color) |
| 212 |
Category:
Long description:
An Industrial IoT Approach for Pharmaceutical Industry Growth, Volume Two uses an innovative approach to explore how the Internet of Things (IoT) and big data can improve approaches and make discoveries. Rapid growth of the IoT has encouraged many companies in the manufacturing sector to make use of this technology to unlock its potential. Using clear language and real-world case studies, this book discusses systems level from both a human-factors point-of-view and the perspective of networking, databases, privacy and anti-spoofing. The wide variety in topics presented offers multiple perspectives on how to integrate the Internet of Things into pharmaceutical manufacturing.This book represents a useful resource for researchers in pharmaceutical sciences, information and communication technologies, and those who specialize in healthcare and pharmacovigilance.
- Emphasizes efficiency in pharmaceutical manufacturing through an IoT/Big Data approach
- Explores cutting-edge technologies through sensor enabled environments in the pharmaceutical industry
- Discusses system levels from both a human-factors point-of-view and the perspective of networking, databases, privacy and anti-spoofing
Table of Contents:
1. Medical big data mining and processing in e-health care
A. Vidhyalakshmi and C. Priya
2. Brain_computer interfaces and their applications
Vaibhaw, Jay Sarraf and P.K. Pattnaik
3. Transforming pharma logistics with the Internet of things
Anjali Jain and Deepak Kumar Sharma
4. Drug identification and interaction checking using the Internet of Things
K. Eswari and C. Priya
5. Accelerating data acquisition process in the pharmaceutical industry using Internet of Things
T. Poongodi, T. Lucia Agnesbeena, S. Janarthanan and Balamurugan Balusamy
6. Internet of Things applications in the pharmaceutical industry
Deepak Kumar Sharma, Saakshi Bhargava and Kartik Singhal
7. Internet of Things: from hype to reality
Arun Kumar Singh, Neda Firoz, Ashish Tripathi, K.K. Singh, Pushpa Choudhary and Prem Chand Vashist
8. The Internet of Things: looking beyond the hype 231
Devender Bhushan and Rashmi Agrawal
9. Internet of Things: the new Rx for pharmaceutical manufacturing and supply chains 257
Deepak Kumar Sharma, Prachi Gupta and Priety
10. Smart cervical band: an Internet of Things- and artificial intelligence-based neck pain and cervical spondylosis healing system
Vikram Puri, Chung Van Le, Sandeep Singh Jagdev and Long Cu Kim
11. Medical data analysis in eHealth care for industry perspectives: applications 305
Chandrakanta Mahanty and Brojo Kishore Mishra
A. Vidhyalakshmi and C. Priya
2. Brain_computer interfaces and their applications
Vaibhaw, Jay Sarraf and P.K. Pattnaik
3. Transforming pharma logistics with the Internet of things
Anjali Jain and Deepak Kumar Sharma
4. Drug identification and interaction checking using the Internet of Things
K. Eswari and C. Priya
5. Accelerating data acquisition process in the pharmaceutical industry using Internet of Things
T. Poongodi, T. Lucia Agnesbeena, S. Janarthanan and Balamurugan Balusamy
6. Internet of Things applications in the pharmaceutical industry
Deepak Kumar Sharma, Saakshi Bhargava and Kartik Singhal
7. Internet of Things: from hype to reality
Arun Kumar Singh, Neda Firoz, Ashish Tripathi, K.K. Singh, Pushpa Choudhary and Prem Chand Vashist
8. The Internet of Things: looking beyond the hype 231
Devender Bhushan and Rashmi Agrawal
9. Internet of Things: the new Rx for pharmaceutical manufacturing and supply chains 257
Deepak Kumar Sharma, Prachi Gupta and Priety
10. Smart cervical band: an Internet of Things- and artificial intelligence-based neck pain and cervical spondylosis healing system
Vikram Puri, Chung Van Le, Sandeep Singh Jagdev and Long Cu Kim
11. Medical data analysis in eHealth care for industry perspectives: applications 305
Chandrakanta Mahanty and Brojo Kishore Mishra
