Internet of Things and Nature-Inspired Intelligent Techniques for the Future of Biomedical Engineering

2018 ◽  
pp. 263-282
Author(s):  
Gur Emre Guraksin
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Biomedical Engineering ◽  
Scientific Community ◽  
Engineering Applications ◽  
Related Literature ◽  
Research Fields ◽  
The Future ◽  
Autonomous Machines ◽  
General Network

Along with the rise of artificial intelligence (AI), there are many different research fields gaining importance. Because of the growing amount of data and needs for immediate access to information for dealing with the problems, different types of research fields take place within the scientific community. Internet of things (IoT) is one of them, and it enables devices to communicate with each other in order to form a general network of physical, working devices. The objective of this chapter in this manner is to provide a general discussion of using nature-inspired techniques of AI to form the future of biomedical engineering over IoT. Because it is often thought that the medical services of the future will be based on autonomous machines supported with AI and IoT, discussing such a topic by considering biomedical engineering applications will be good for the related literature.

Internet of Things and Nature-Inspired Intelligent Techniques for the Future of Biomedical Engineering

Biotechnology ◽  
2019 ◽  
pp. 543-561
Author(s):  
Gur Emre Guraksin
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Biomedical Engineering ◽  
Scientific Community ◽  
Engineering Applications ◽  
Related Literature ◽  
Research Fields ◽  
The Future ◽  
Autonomous Machines ◽  
General Network

Along with the rise of artificial intelligence (AI), there are many different research fields gaining importance. Because of the growing amount of data and needs for immediate access to information for dealing with the problems, different types of research fields take place within the scientific community. Internet of things (IoT) is one of them, and it enables devices to communicate with each other in order to form a general network of physical, working devices. The objective of this chapter in this manner is to provide a general discussion of using nature-inspired techniques of AI to form the future of biomedical engineering over IoT. Because it is often thought that the medical services of the future will be based on autonomous machines supported with AI and IoT, discussing such a topic by considering biomedical engineering applications will be good for the related literature.

Intelligent Biomedical Engineering Operations by Cloud Computing Technologies

2018 ◽  
pp. 297-317
Author(s):  
Hasan Armutlu
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Biomedical Engineering ◽  
Health Problems ◽  
Vital Importance ◽  
Research Fields ◽  
Computing Technologies ◽  
Alternative Research ◽  
Medical Health ◽  
Application Scope

Cloud computing is an effective way of using hardware- and software-oriented resources at optimum levels. Thanks to this technology, it is possible to share large amounts of resources effectively and accurately among target users. Because it is a rapidly growing technology, one cannot deny that it has remarkable relations with alternative research fields having great potential and application scope. It is clear that artificial intelligence is one of these fields. As associated with both these research fields, the purpose of this chapter is to examine artificial-intelligence-based biomedical engineering works supported/connected with cloud computing. Because it has a vital importance with applications regarding the medical/health problems, biomedical engineering needs support from the most recent technologies and research fields in this manner. So, the chapter provides a view over the intersection of these three research fields as trying to improve awareness among interested readers.

Intelligent Biomedical Engineering Operations by Cloud Computing Technologies

Biotechnology ◽  
2019 ◽  
pp. 576-596
Author(s):  
Hasan Armutlu
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Biomedical Engineering ◽  
Health Problems ◽  
Vital Importance ◽  
Research Fields ◽  
Computing Technologies ◽  
Alternative Research ◽  
Medical Health ◽  
Application Scope

Cloud computing is an effective way of using hardware- and software-oriented resources at optimum levels. Thanks to this technology, it is possible to share large amounts of resources effectively and accurately among target users. Because it is a rapidly growing technology, one cannot deny that it has remarkable relations with alternative research fields having great potential and application scope. It is clear that artificial intelligence is one of these fields. As associated with both these research fields, the purpose of this chapter is to examine artificial-intelligence-based biomedical engineering works supported/connected with cloud computing. Because it has a vital importance with applications regarding the medical/health problems, biomedical engineering needs support from the most recent technologies and research fields in this manner. So, the chapter provides a view over the intersection of these three research fields as trying to improve awareness among interested readers.

The New Technological Trends in Customer Relationship Management (CRM) to Unveil Opportunities for Developing Countries

2021 ◽  
pp. 2119-2128
Author(s):  
Cagla Seneler ◽  
Rana Kadioglu
Keyword(s):  
Artificial Intelligence ◽  
Developing Countries ◽  
Internet Of Things ◽  
Customer Relationship Management ◽  
Relationship Management ◽  
Customer Relationship ◽  
Main Theme ◽  
Social Crm ◽  
The Future ◽  
Potential Customers

The main theme of the thesis is how new technological trends will shape the future of Customer Relationship Management (CRM) and to provide opportunities for developing countries. CRM is the whole set of methods that companies use to make the most efficient, most effective, and ultimately profitable relationship they have with existing or potential customers. The concepts of internet of things (IoT), artificial intelligence (AI), cloud CRM and social CRM which are frequently heard today are examined in this thesis. For developing countries, these trends will create various opportunities in particular were explained with examples from Turkey. Although CRM is not a completely understood concept, companies will create the future of CRM by following the new trends.

scholarly journals IoT Security Challenges: Cloud and Blockchain, Postquantum Cryptography, and Evolutionary Techniques

Electronics ◽  
2021 ◽  
Vol 10 (21) ◽  
pp. 2647
Author(s):  
Stefan Balogh ◽  
Ondrej Gallo ◽  
Roderik Ploszek ◽  
Peter Špaček ◽  
Pavol Zajac
Keyword(s):  
Artificial Intelligence ◽  
Quantum Computing ◽  
Internet Of Things ◽  
Iot Security ◽  
Security Issues ◽  
Security Challenges ◽  
Rapid Changes ◽  
The Future ◽  
Iot Devices ◽  
Security Of Iot

Internet of Things connects the physical and cybernetic world. As such, security issues of IoT devices are especially damaging and need to be addressed. In this treatise, we overview current security issues of IoT with the perspective of future threats. We identify three main trends that need to be specifically addressed: security issues of the integration of IoT with cloud and blockchains, the rapid changes in cryptography due to quantum computing, and finally the rise of artificial intelligence and evolution methods in the scope of security of IoT. We give an overview of the identified threats and propose solutions for securing the IoT in the future.

scholarly journals Significance of Technology and Digital Transformation in Shaping the Future of Oil and Gas Industry

2021 ◽  
Vol 12 (3) ◽  
pp. 3345-3352
Author(s):  
Shubham Parsoya Et.al
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Internet Of Things ◽  
Data Analytics ◽  
Oil And Gas ◽  
Big Data Analytics ◽  
Oil And Gas Industry ◽  
Digital Transformation ◽  
Gas Industry ◽  
The Future

Digital transformation in the field of oil and Gas industry is already a significant impact creator. It is actually act like catalyst through which the overall functionality of the oil and gas industry get enhanced and the overall output with the help of technologically-advanced mechanism, increased up to manifold. In the present scenario, the over-all quest is not just about the volume of the oil and petroleum, but it is also regarding the overall value generated throughout the process. And such enhanced level of value generation is taking place with great pace with the help of enhanced level of implementations of different types of technologies in different type of activities related to the oil and gas industry. In the present scenario, oil and gas industry’s business model is no longer depending upon just the inflated and narrow based value-chain mechanism. It is actually depending upon the almost all modernized and futuristic technologies. The modern technologies include big data analytics, 3D printing technology, cyber security, digital marketing, Artificial Intelligence, Internet of Things, drone technologies, database management system, etc. all these technologies are not only supports in handling the overall business capability of the oil and Gas Industries, but also eliminate the overall negative impact generating elements. With the help of technologies and digital transformation, the overall profitability of the oil and gas industry enhanced. Digital transformation is a prominent and significant impact creator which is not limited to the oil and gas industry, but also reaching up to the all-global level Businesses. It is transforming the overall business operations by enhancing the speed of innovation and making the use of practical knowledge base which ultimately enhance the overall power of operations and increase efficiencies. With the emergence of digital transformation technologies especially with the emergence of big data analytics, the Internet of Things and Artificial Intelligence have supports several types of innovative and new ways of developing and transforming the overall market as well as the customer satisfaction in significant manner. All such innovative technologies and digital transformations are contributing significantly in shaping the future of oil and gas industry

Artificial Intelligence Ethics in Biomedical-Engineering-Oriented Problems

Biotechnology ◽  
2019 ◽  
pp. 1675-1687
Author(s):  
Alice Pavaloiu
Keyword(s):  
Artificial Intelligence ◽  
Biomedical Engineering ◽  
Intelligent Systems ◽  
Machine Ethics ◽  
Design And Development ◽  
Essential Information ◽  
Engineering Problems ◽  
The Future

The field of artificial intelligence has recently encountered some ethical questions associated with the future of humankind. Although it is a common question that has been asked for years, the existence of humankind against badly configured intelligent systems is more important nowadays. As a result of rapid developments in intelligent systems and their increasing role in our life, there is a remarkable anxiety about dangerous artificial intelligence. Because of that, some research interests gathered under some topics like machine ethics, future of artificial intelligence, and even existential risks are drawing researchers' interest. As associated with this state, the objective of this chapter is to examine ethical factors in using intelligent systems for biomedical-engineering-oriented purposes. The chapter firstly gives essential information about the background and then considers possible scenarios that may require ethical adjustments during design and development of artificial-intelligence-oriented systems for biomedical engineering problems.

scholarly journals AI and Machine Learning in Retail Pharmacy: Systematic Review of Related Literature

2018 ◽  
Vol 7 (2) ◽  
pp. 109-112 ◽  
Author(s):  
Praveen Kumar Donepudi
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Systematic Review ◽  
Prediction Model ◽  
Retail Pharmacy ◽  
Related Literature ◽  
Efficient Performance ◽  
The Future

Artificial intelligence and machine learning are the future of every field. These can be applied in any field for better or efficient performance. Both these can be used in retail pharmacy as a solution to different problems. The machine learning prediction model can help in predicting the disease of patients and it can also be used to predict the medicine for the patient. AI systems can be used to automate the tasks that will help in saving time and also the tasks will be performed by using fewer resources. 

3D Modelling and Artificial Intelligence

2010 ◽  
pp. 64-74
Author(s):  
G. N. Marichal ◽  
A. Hernández ◽  
E. J. González ◽  
L. Acosta ◽  
J. L. Saorin
Keyword(s):  
Artificial Intelligence ◽  
3D Models ◽  
3D Modelling ◽  
Engineering Applications ◽  
Research Fields ◽  
3D Environments ◽  
Robotic Application

This paper explains the different interactions between the Artificial Intelligence (AI) techniques and 3D modelling, not only the wide-used application of AI in order to the implementation of 3D environments, but the less explored use of 3D models in order to take advantage from AI techniques. The authors will be especially interested in real Engineering applications, but the techniques presented in this paper are general and can be used in other research fields. Moreover, a particular robotic application is shown.

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