Buy System Design Using the Internet of Things with Deep Learning Applications | New Arrivals, FOREIGN BOOKS , A Social Legal Perspective, ENGINEERING BOOKS

ABOUT THE BOOK

This new volume aims to find real-world solutions to present-day problems by using IoT and related technologies. It explores the myriad applications of the Internet of Things in diverse areas—in healthcare, the construction industry, in wildlife monitoring, in home security systems, in agriculture, in cryptology, in hospitality employment, in data security, and more.

The chapters illustrate the defining aspects of architecture, product design, modules, interfaces, and data for building systems that satisfy specified requirements of the IoT applications discussed. The authors show the novel results that present solutions to meet the ever-increasing demand of industries.

TABLE OF CONTENTS

1. Applications of the Internet of Things and Big Data in Automated Healthcare

Benila S. and Usha Bhanu N.

2. IoT in the Construction Industry

Jenifar Begam and Sweta Sarkar

3. Object Detection from Video Sequence and Its Analysis for Application in Wildlife

Shruti Shovan Das and Soumyajit Pal

4. Design of a Flow Detection Sensor for Single-Phase Flow through Porous Media

Talha Khan and Anustup Chatterjee

5. Deep Neural Network-Based Brain Tumor Segmentation

Sayan Chatterjee, Moitri Chakraborty, Akash Maity, and Mainak Biswas

6. Voice-Command-Based Real-Time Automated Home Security System with Google Assistance Technology

Soumen Santra, Partha Mukherjee, Arpan Deyasi, and Angsuman Sarkar

7. Applications of IoT and UAV in Smart Agriculture

Caprio Mistry and Arighna Basak

8. A Study on Data Security in Cloud Computing: Traditional Cryptography to the Quantum Age Cryptography

Srinidhi Kulkarni, Rishabh Kumar Tripathi, and Meera Joshi

9. Role of Hospitality Institutions in Development of Employability Expertise: Students’ Perception Based on Data Analysis

Santanu Dasgupta

10. Application of IoT and Big Data in Automated Healthcare

Krishnaraju A., Sreenivasan K., Marisami P., Prakash B., and Srinivasan S.

11. Forecast the Impact of COVID-19: Data Analysis

Shalini Adhya, Sanghita Kundu, and Mainak Biswas

12. Comparative Analysis of SVM and KNN in Breast Cancer Classification

Soumyajit Pal