Overview of IoT and Machine Learning for E-Healthcare in Pandemics and Health Crises

2021 ◽  
pp. 16-43
Author(s):  
Mohsin Raza ◽  
Muhammad Awais ◽  
Imran Haider ◽  
Muhammad Usman Hadi ◽  
Ehtasham Javed
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Internet Of Things ◽  
Health Services ◽  
Digital Technologies ◽  
Research Directions ◽  
Smart Healthcare ◽  
Healthcare Needs ◽  
Cross Platform ◽  
Improve Health

The outbreak of COVID-19 has severely affected the healthcare infrastructure. The limitations of conventional healthcare urge the use of the digital technologies to lessen the overall load on the healthcare infrastructure and assist healthcare workers/staff. This chapter focuses on digital technologies to enable smart healthcare solutions to sustain and improve health services. The chapter focuses on two main driving technologies (internet of things [IoT] and artificial intelligence [AI]), pioneering automation and digitalization of healthcare. The enabling technologies possess the potential to transform the healthcare with emergence of new and novel research directions to realize and address healthcare needs. Therefore, it is essential to focus on key driving and complementing technologies to establish multidisciplinary research solutions with cross-platform design coupled with translational learning to unlock the potentials of next generation healthcare.

Role of Emerging Technologies in COVID 19: Analyses, Predictions, and Future Countermeasures (Preprint)

2020 ◽  
Author(s):  
Dr. Rekha G
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Internet Of Things ◽  
Language Processing ◽  
Emerging Technologies ◽  
Point Of Care ◽  
Cost Effective ◽  
Current Status ◽  
Future Research ◽  
Smart Healthcare

UNSTRUCTURED In the resent decade, emerging technologies like Artificial Intelligence, Blockchain Technology, Cloud Computing , Internet of Things (IoT), etc., have changed people life a lot (in terms of living). Artificial Intelligence (AI) has been applied widely in our daily lives in a variety of ways with numerous successful stories. AI has also contributed to dealing with the coronavirus disease (COVID-19) pandemic, which is currently happening around the globe.We touch on a number of areas where AI plays as an essential component, from medical image processing, data analytics, text mining and natural language processing, the Internet of Things, to computational biology and medicine. For this, a summary of COVID-19 related data sources that are available for research purposes (for future researchers) is also presented.For that, all the tools, resources and datasets needed to facilitate AI research are also been reviewed. Also discussed about Machine Learning use cases for Drug Formulations, Treatment of Patients Suffering with COVID-19, how Artificial Intelligence and internet of things can be useful to develop Cost- effective and Rapid Point-of-Care Diagnostics. For example, uses of Internet of Medical Things for Smart Healthcare (primary focus on detecting COVID-19 symptoms, and alerts for other users) have been discussed in this work. In summary, this work providesuseful information about (potential of) AI methods, machine learning, internet of things, used in many applications like Medicare, COVID-19 outbreak and summarizes several critical roles of Artificial Intelligence (including machine learning and internet of things) research in this unprecedented battle.We also discuss several future Research directions, global impact of corona on internet of things and many applications. It is envisaged that this work will provide AI, and ML researchers and the wider community an overview of the current status of AI and ML applications and motivate researchers in harnessing AI potentials in the fight against COVID-19.

scholarly journals IMPROVING INTERNET OF THINGS PARKING SYSTEMS

2021 ◽  
Vol 19 (3) ◽  
pp. 163
Author(s):  
Dušan Bogićević
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Cloud Computing ◽  
Internet Of Things ◽  
Information Needs ◽  
Vehicle Classification ◽  
The Internet ◽  
Parking Space ◽  
Automated Systems ◽  
The Internet Of Things

Edge data processing represents the new evolution of the Internet and Cloud computing. Its application to the Internet of Things (IoT) is a step towards faster processing of information from sensors for better performance. In automated systems, we have a large number of sensors, whose information needs to be processed in the shortest possible time and acted upon. The paper describes the possibility of applying Artificial Intelligence on Edge devices using the example of finding a parking space for a vehicle, and directing it based on the segment the vehicle belongs to. Algorithm of Machine Learning is used for vehicle classification, which is based on vehicle dimensions.

scholarly journals Digital Economy and Anti-Corruption: New Digital Models

2019 ◽  
Vol 71 ◽  
pp. 03004
Author(s):  
E.L. Sidorenko ◽  
A.A. Lykov
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Internet Of Things ◽  
Crime Prevention ◽  
Digital Technologies ◽  
Digital Economy ◽  
Digital Models ◽  
Research Results ◽  
Corruption Prevention

The authors of this paper consider promising areas of the corruption prevention using the latest digital technologies: Blockchain, Internet of Things, Artificial Intelligence and Big Data. The purpose of this research is the analysis of advantages of the digital economy development in terms of solving social problems and crime prevention. The authors also show functional digital models of the anti-corruption compliance are defined. In addition, the research results include the determination of some shortcomings of the proposed models associated with the imperfection of the current legislation.

Research on Data Security Technology in Internet of Things

2013 ◽  
Vol 433-435 ◽  
pp. 1752-1755 ◽  
Author(s):  
Yan Ling Zhao
Keyword(s):  
Internet Of Things ◽  
Data Security ◽  
Secure Communication ◽  
Transmission Efficiency ◽  
Security Technology ◽  
Research Directions ◽  
Encryption And Decryption ◽  
Information Research ◽  
Cross Platform ◽  
The Internet Of Things

The Internet of Things is currently the most popular field of communication and information research directions. Their application in the amount of information involved, are extremely large amount of data. How to ensure the transmission efficiency of business information under the premise of improving networking applications data security to protect the user's privacy data will be particularly important. Paper uses a custom data packet encapsulation mechanism, reducing the overhead of data resources; another based on their cross-platform communication features, combined with secure encryption and decryption, signature and authentication algorithm, the establishment of a secure communication system of things model for the differentiation of things communications environment, providing a standard packet structure, namely smart business security IOT application Protocol intelligent Service Security Application Protocol (ISSAP).

scholarly journals Management of Software-Defined Networking Powered by Artificial Intelligence

2021 ◽  
Author(s):  
Jehad Ali ◽  
Byeong-hee Roh
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Internet Of Things ◽  
Heterogeneous Networks ◽  
Software Defined Networking ◽  
Machine Learning Algorithms ◽  
The Internet ◽  
Underlying Network ◽  
And Control ◽  
The Internet Of Things

Separating data and control planes by Software-Defined Networking (SDN) not only handles networks centrally and smartly. However, through implementing innovative protocols by centralized controllers, it also contributes flexibility to computer networks. The Internet-of-Things (IoT) and the implementation of 5G have increased the number of heterogeneous connected devices, creating a huge amount of data. Hence, the incorporation of Artificial Intelligence (AI) and Machine Learning is significant. Thanks to SDN controllers, which are programmable and versatile enough to incorporate machine learning algorithms to handle the underlying networks while keeping the network abstracted from controller applications. In this chapter, a software-defined networking management system powered by AI (SDNMS-PAI) is proposed for end-to-end (E2E) heterogeneous networks. By applying artificial intelligence to the controller, we will demonstrate this regarding E2E resource management. SDNMS-PAI provides an architecture with a global view of the underlying network and manages the E2E heterogeneous networks with AI learning.

scholarly journals Tecnologías de Mantenimiento industrial en la industria 4.0

2019 ◽  
pp. 20-24
Author(s):  
Manuel Meraz-Méndez ◽  
Claudia Lerma-Hernández
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Teaching Practices ◽  
Industry 4.0 ◽  
Digital Technologies ◽  
Industrial Maintenance ◽  
Technological University ◽  
Engineering Career ◽  
Smart Factories ◽  
Technical Area

Industry 4.0 is the incorporation of digital technologies in factories such as: artificial intelligence, machine learning, 3D printing, drones, robotics, IOT, big data, virtual reality, automation, among others, which aim to digitalize processes productive in the factories, these are also called smart factories. The objective of this article is to identify the technologies applicable to industrial maintenance in Industry 4.0, the final result of this research determine the teaching practices that must be carried out in the Industrial Maintenance Engineering career at the Technological University of Chihuahua, and how the students must be prepared with the competences and skills necessary to face this challenge, at the same time the new teaching practices and strategies that a teacher in the technical area of Industrial Maintenance must apply in laboratory practices with a focus on Industry 4.0.

Sign in / Sign up

Export Citation Format

Share Document