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AI and Machine Learning Paradigms for Health Monitoring System

Part of the Studies in Big Data Book Series (volume 86)

Editors: Malik, Hasmat; Fatema, Nuzhat; Alzubi, Jafar A.

DOI: 10.1007/978-981-33-4412-9

ISBN: 978-981-33-4411-2

Publisher: Springer Singapore - Springer Journals

Feb 15, 2021

1 - 10 of 34 Chapters

LitStream

Optimization Solutions for Demand Side Management and Monitoring

Shah, Zeeshan Ali; Ul-Haq, Azhar; Alammari, Rashid; Iqbal, Atif; Jalal, Marium

Pages: 3 –43

[For the last couple of decades, power consumption has been growing exponentially. The traditional power grids are experiencing various challenges such as reliability and sustainability. Due to limited energy resources and budget with increase in load demand, conventional energy management...
LitStream

An Insight into Tool and Software Used in AI, Machine Learning and Data Analytics

Mittal, Ruchi; Arora, Shefali; Kuchhal, Pragya; Bhatia, M. P. S.

Pages: 45 –64

[Machine learning is a fantastic development on the off chance that you use it correctly. We can use machine learning models to demonstrate the importance of predictions on various projects. Acing machine learning tools would let you play with the information, train your models, find new systems,...
LitStream

Security Enhancement and Monitoring for Data Sensing Networks Using a Novel Asymmetric Mirror-Key Data Encryption Method

Tharakan, Linoy A.; Daniel, Sherly; Dhanasekaran, R.

Pages: 65 –78

[Today, the world is moving to fully enable Internet technologies and gadgets. Devices become smarter and intelligent, and the data exchanges between the devices become exponentially increased and more private data in being transmitted through the Internet. By the use of the Internet and other...
LitStream

Introduction to Cuckoo Search and Its Paradigms: A Bibliographic Survey and Recommendations

Ali, Wahid; Khan, Mohd Shariq; Hasan, Mashhood; Khan, Mohammad Ehtisham; Qyyum, Muhammad Abdul; Qamar, Mohammad Obaid; Lee, Moonyong

Pages: 79 –93

[Metaheuristic algorithms are found to be more effective and helpful in working out on complex problems (e.g., optimization and mining, etc.). This chapter presents a survey with a brief overview of the cuckoo algorithm, its latest developments, as well as recommendation for the applications in...
LitStream

Routing Protocols for Internet of Vehicles: A Review

Ajaz, Farhana; Naseem, Mohd.; Ahamad, Gulfam; Khan, Qamar Rayees; Sharma, Sparsh; Abbasi, Ehtesham

Pages: 95 –103

[As the rapid invention and innovation has been performed in the automobile sectors, the modern vehicles are supposed to perform communication through heterogeneous technologies. In this process, the modern vehicles should be able to commutate tremendous amount of data and information within...
LitStream

Introduction to Particle Swarm Optimization and Its Paradigms: A Bibliographic Survey

Khan, Mohd Shariq; Ali, Wahid; Qyyum, Muhammad Abdul; Ansari, Khursheed B.; Lee, Moonyong

Pages: 105 –124

[Particle swarm optimization (PSO) belongs to evolutionary computation algorithms that are inspired by the swarming motion of living organisms. PSO has a humble beginning where it was only able to solve the single-objective continuous optimization problems. Since then through numerous refinements...
LitStream

Classification and Monitoring of Injuries Around Knee Using Radiograph-Based Deep Learning Algorithm

Praharsha, C. V.; Srikanth, Pullabhatla

Pages: 127 –146

[In this chapter, a novel deep learning-based methodology for the classification of various types of fractures around the knee has been proposed. To train the deep learning algorithm, several radiographs of various types of fractures viz. both bone, tibial plateau, tibial shaft, fibula head,...
LitStream

Artificial Intelligence: Its Role in Diagnosis and Monitoring Against COVID-19

Chimmula, Vinay Kumar Reddy; Zhang, Lei; Kumar, Abhinay

Pages: 147 –154

[Around December 2019, several pneumonia cases started to emerge from Wuhan, and later, it was known as COVID-19. Soon it spread all over china within few weeks, and by March 2020, it is labeled as global pandemic. Both SARS and COVID-19 outbreaks are from coronavirus and have no proper...
LitStream

Predicting Future, Past, and Misinterpreted COVID-19 Cases Using Bidirectional LSTM Model for Proper Health Monitoring: Advances in Data Analytics

Kumar, Abhinay

Pages: 155 –168

[The first coronavirus case was reported in Hubei province of China, and within three months, it affected almost all the countries in the world. under such circumstances, World Health Organization (WHO) declared 2019 novel coronavirus as a global pandemic. Even though its fatality is low, the...
LitStream

Data-Driven Analysis to Identify the Role of Relational Benefit in Developing Customer Loyalty and Management: A Case Study

Sanaullah, Asif

Pages: 169 –178

[The purpose of this study was to examine the relationship of relationship benefit (confidence benefit) in developing customer loyalty. Survey methodology was used to gather data from restaurant. A sample of 200 customers and responses was collected randomly. Correlation analysis by using SPSS 20...

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