Emerging Trends In Data Science Machine Learning Iot And Artificial Intelligence
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Emerging Trends In Data Science Machine Learning Iot And Artificial Intelligence
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Author : Shaweta Narula
language : en
Publisher: Leilani Katie Publication
Release Date : 2024-03-11
Emerging Trends In Data Science Machine Learning Iot And Artificial Intelligence written by Shaweta Narula and has been published by Leilani Katie Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-11 with Computers categories.
Shaweta Narula, Assistant Professor, Department of Electronics and Communication, Nutan College of Engineering and Research, Talegaon Dabhade, Pune Maharashtra,India. Vivek Narula, Quality Manager, Multinational Company, Automotive Industry, Pune, Maharashtra, India.
Emerging Trends In Ai Ml Ds And Iot
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Author : Dr. S. Bharathiraja
language : en
Publisher: Academic Guru Publishing House
Release Date : 2024-05-03
Emerging Trends In Ai Ml Ds And Iot written by Dr. S. Bharathiraja and has been published by Academic Guru Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-03 with Study Aids categories.
"Emerging Trends in AI, ML, DS, and IoT" is an all-encompassing examination of the most recent developments and revolutionary possibilities in Artificial Intelligence (AI), Data Science (DS), Machine Learning (ML), as well as the Internet of Things (IoT). This book functions as a comprehensive resource, encompassing the profound ramifications of technology's swift evolution across diverse industries, and was authored by a group of business professionals and thought leaders. The book commences with an in-depth explanation of the fundamental principles, methodologies, and practical implementations of each of these disciplines, thereby establishing a solid foundation for learning. The fundamental principles of artificial intelligence (AI) are expounded upon, encompassing neural networks, natural language processing, machine learning algorithms, and the significance of data in instigating insights and facilitating decision-making. The story progresses, as the emphasis moves to new innovations and trends that are changing the face of AI, ML, DS, and the Internet of Things. The book extensively explores the most recent developments that are driving the progress of these fields, including peripheral computing, predictive analytics, deep learning, as well as reinforcement learning. Organisations in many kinds of sectors are using these technologies to boost creativity, enhance operations, and generate value, as shown in case studies and real-world examples. Additionally, by examining the intersections between these domains and showcasing prospects for multidisciplinary cooperation, "Emerging Trends in AI, ML, DS, and IoT" analyses their intersections. Intelligent systems capable of sensing, learning, and adapting in real-time are being made possible by the merging of AI, ML, DS, and IoT. This is causing a paradigm shift in sectors including financial services, healthcare, transportation, as well as manufacturing. The book also discusses privacy concerns, ethical issues, and the societal ramifications of AI, ML, DS, and IoT, in along with technological advancements. The text promotes the ethical and responsible implementation of these technologies, appealing for accountability, transparency, and impartiality in algorithmic decision-making. "Emerging Trends in AI, ML, DS, and IoT" is an essential reference for experts, researchers, and students who are interested in tackling the dynamic technological environment and utilising its transformative capabilities to improve society. It offers perceptive analysis, forward-thinking viewpoints, and practical insights to support these objectives.
Emerging Trends In Iot And Integration With Data Science Cloud Computing And Big Data Analytics
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Author : Taser, Pelin Yildirim
language : en
Publisher: IGI Global
Release Date : 2021-11-05
Emerging Trends In Iot And Integration With Data Science Cloud Computing And Big Data Analytics written by Taser, Pelin Yildirim and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-05 with Computers categories.
The internet of things (IoT) has emerged to address the need for connectivity and seamless integration with other devices as well as big data platforms for analytics. However, there are challenges that IoT-based applications face including design and implementation issues; connectivity problems; data gathering, storing, and analyzing in cloud-based environments; and IoT security and privacy issues. Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics is a critical reference source that provides theoretical frameworks and research findings on IoT and big data integration. Highlighting topics that include wearable sensors, machine learning, machine intelligence, and mobile computing, this book serves professionals who want to improve their understanding of the strategic role of trust at different levels of the information and knowledge society. It is therefore of most value to data scientists, computer scientists, data analysts, IT specialists, academicians, professionals, researchers, and students working in the field of information and knowledge management in various disciplines that include but are not limited to information and communication sciences, administrative sciences and management, education, sociology, computer science, etc. Moreover, the book provides insights and supports executives concerned with the management of expertise, knowledge, information, and organizational development in different types of work communities and environments.
Intelligent Internet Of Things For Healthcare And Industry
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Author : Uttam Ghosh
language : en
Publisher: Springer Nature
Release Date : 2022
Intelligent Internet Of Things For Healthcare And Industry written by Uttam Ghosh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Application software categories.
This book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of machine learning-based data analytics of IoT infrastructures. This book is focused on the emerging trends, strategies, and applications of IoT in both healthcare and industry data analytics perspectives. The data analytics discussed are relevant for healthcare and industry to meet many technical challenges and issues that need to be addressed to realize this potential. The IoT discussed helps to design and develop the intelligent medical and industry solutions assisted by data analytics and machine learning. At the end of every chapter readers are encouraged to check their understanding by means of brainstorming summary, discussion, exercises and solutions. Focused on the emerging trends, strategies, and applications of IoT in both healthcare and industry data analytics perspectives; Promotes an exchange of research across disciplines on the design and investigation of machine learning-based data analytics of IoT infrastructures; Features case studies emphasizing social and research perspectives on cyber-physical systems, data analytics, intelligence and security.
Recent Trends And Advances In Artificial Intelligence And Internet Of Things
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Author : Valentina E. Balas
language : en
Publisher: Springer
Release Date : 2020-11-28
Recent Trends And Advances In Artificial Intelligence And Internet Of Things written by Valentina E. Balas and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-28 with Technology & Engineering categories.
This book covers all the emerging trends in artificial intelligence (AI) and the Internet of Things (IoT). The Internet of Things is a term that has been introduced in recent years to define devices that are able to connect and transfer data to other devices via the Internet. While IoT and sensors have the ability to harness large volumes of data, AI can learn patterns in the data and quickly extract insights in order to automate tasks for a variety of business benefits. Machine learning, an AI technology, brings the ability to automatically identify patterns and detect anomalies in the data that smart sensors and devices generate, and it can have significant advantages over traditional business intelligence tools for analyzing IoT data, including being able to make operational predictions up to 20 times earlier and with greater accuracy than threshold-based monitoring systems. Further, other AI technologies, such as speech recognition and computer vision can help extract insights from data that used to require human review. The powerful combination of AI and IoT technology is helping to avoid unplanned downtime, increase operating efficiency, enable new products and services, and enhance risk management.
New Trends And Applications In Internet Of Things Iot And Big Data Analytics
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Author : Rohit Sharma
language : en
Publisher: Springer Nature
Release Date : 2022-05-16
New Trends And Applications In Internet Of Things Iot And Big Data Analytics written by Rohit Sharma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-16 with Technology & Engineering categories.
This book focuses on the use of The Internet of Things (IoT) and big data in business intelligence, data management, Hadoop, machine learning, cloud, smart cities, etc. IoT and big data emerged from the early 2000s data boom, driven forward by many of the early internet and technology companies. The Internet of Things (IoT) is an interconnection of several devices, networks, technologies, and human resources to achieve a common goal. There are a variety of IoT-based applications being used in different sectors and have succeeded in providing huge benefits to the users. The generation of big data by IoT has ruptured the existing data processing capacity of IoT and recommends to adopt the data analytics to strengthen solutions. The success of IoT depends upon the influential association of big data analytics. New technologies like search engines, mobile devices, and industrial machines provided as much data as companies could handle—and the scale continues to grow. In a study conducted by IDC, the market intelligence firm estimated that the global production of data would grow 10x between 2015 and 2020. So, the proposed book covers up all the aspects in the field discuss above.
The 2020 International Conference On Machine Learning And Big Data Analytics For Iot Security And Privacy
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Author : John MacIntyre
language : en
Publisher: Springer Nature
Release Date : 2020-11-04
The 2020 International Conference On Machine Learning And Big Data Analytics For Iot Security And Privacy written by John MacIntyre and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-04 with Computers categories.
This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2020), held in Shanghai, China, on November 6, 2020. Due to the COVID-19 outbreak problem, SPIoT-2020 conference was held online by Tencent Meeting. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.
The 2020 International Conference On Machine Learning And Big Data Analytics For Iot Security And Privacy
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Author : John MacIntyre
language : en
Publisher: Springer Nature
Release Date : 2020-11-03
The 2020 International Conference On Machine Learning And Big Data Analytics For Iot Security And Privacy written by John MacIntyre and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-03 with Computers categories.
This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2020), held in Shanghai, China, on November 6, 2020. Due to the COVID-19 outbreak problem, SPIoT-2020 conference was held online by Tencent Meeting. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.
The 2021 International Conference On Machine Learning And Big Data Analytics For Iot Security And Privacy
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Author : John Macintyre
language : en
Publisher: Springer Nature
Release Date : 2021-10-27
The 2021 International Conference On Machine Learning And Big Data Analytics For Iot Security And Privacy written by John Macintyre and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-27 with Computers categories.
This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2021), online conference, on 30 October 2021. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.
Practical Artificial Intelligence For Internet Of Medical Things
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Author : Ben Othman Soufiene
language : en
Publisher: CRC Press
Release Date : 2023-02-28
Practical Artificial Intelligence For Internet Of Medical Things written by Ben Othman Soufiene and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-28 with Computers categories.
This book covers the fundamentals, applications, algorithms, protocols, emerging trends, problems, and research findings in the field of AI and IoT in smart healthcare. It includes case studies, implementation and management of smart healthcare systems using AI. Chapters focus on AI applications in Internet of Healthcare Things, provide working examples on how different types of healthcare data can be used to develop models and predict diseases using machine learning and AI, with the real-world examples. This book is aimed at Researchers and graduate students in Computer Engineering, Artificial Intelligence and Machine Learning, Biomedical Engineering, and Bioinformatics. Features: Focus on the Internet of Healthcare Things and innovative solutions developed for use in the application of healthcare services Discusses artificial intelligence applications, experiments, core concepts, and cutting-edge themes Demonstrates new approaches to analyzing medical data and identifying ailments using AI to improve overall quality of life Introduces fundamental concepts for designing the Internet of Healthcare Things solutions Includes pertinent case studies and applications This book is aimed at researchers and graduate students in Computer Engineering, Artificial Intelligence and Machine Learning, Biomedical Engineering, and Bioinformatics.