Machine Learning And The Internet Of Things In Education
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Machine Learning And The Internet Of Things In Education
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Author : John Bush Idoko
language : en
Publisher: Springer Nature
Release Date : 2023-09-30
Machine Learning And The Internet Of Things In Education written by John Bush Idoko and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-30 with Technology & Engineering categories.
This book is designed to provide rich research hub for researchers, teachers, and students to ease research hassle/challenges. The book is rich and comprehensive enough to provide answers to frequently asked research questions because the content of the book touches several disciplines cutting across computing, engineering, medicine, education, and sciences in general. The rich multidisciplinary contents of the book promise to leave all users satisfied. The valuable features in the book include but not limited to: demonstration of mathematical expressions for implementation of machine learning models, integration of learning techniques, and projection of future AI and IoT technologies. These technologies will enable systems to be simulative, predictive, and self-operating smart systems. The primary audience of the book include but not limited to researchers, teachers, and postgraduate and undergraduate students in computing, engineering, medicine, education, and science fields.
Ai Iot And Machine Learning Basics
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Author : Dr Aadam Quraishi MD
language : en
Publisher: Xoffencer intrernational book publication house
Release Date : 2024-12-30
Ai Iot And Machine Learning Basics written by Dr Aadam Quraishi MD and has been published by Xoffencer intrernational book publication house this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-30 with Computers categories.
The 21st century has ushered in a period of unparalleled technological developments, which have radically altered how we live, work, and interact with the environment that surrounds us. Artificial Intelligence (AI), the Internet of Things (IoT), and Machine Learning (ML) are three revolutionary technologies that are at the heart of this massive upheaval. These technologies are no longer something that will be developed in the future; rather, they are now influencing industries, spurring innovation, and building systems that are smarter and more connected. Since the advent of the digital revolution, the gap between the physical and virtual realities has been crossed. This has made it possible for computers to carry out activities, make judgments, and learn from data with minimum assistance from humans. The Internet of Things (IoT) links common devices to the Internet, artificial intelligence (AI) enables systems to imitate human intellect, and machine learning (ML) enables computers to learn from huge quantities of data to make predictions and improve performance over time. In a society that is becoming more and more dependent on intelligent solutions, understanding these technologies is no longer an option. Artificial intelligence (AI), the Internet of Things (IoT), and machine learning have permeated every facet of contemporary life, from wearable gadgets and smart homes to predictive healthcare and driverless automobiles. What drives me: As will be explained in the chapter, the AI/ML-based Internet of Things systems are making significant contributions to the advancement of all areas of technology and society. As a result, gaining knowledge about these systems, even if it is in a general sense, would be beneficial to our growth even in our specialized areas. Because it has demonstrated its usefulness across all sectors and businesses, the potential that this technological combination possesses is not something that one can either ignore or choose to ignore. It will undoubtedly transform from a talent that can be added to one that is required in the future. In this chapter, you will get an understanding of the most popular 2 | P a g e terminology in the world of technology today, including artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT), as well as how these concepts interact with one another. In this course, you will learn about the rapidly expanding field of artificial intelligence-based Internet of Things (IoT) technologies and how these systems are utilized in everyday life to simplify our lives and enrich our experiences. Your perspective will broaden as a result of the numerous applications that will be discussed, particularly about how this technology may be utilized and how you can benefit from it. 1.2 ARTIFICIAL INTELLIGENCE We all now have a general understanding of artificial intelligence and how it works. To summarise the information that was presented in the introduction, artificial intelligence (AI) can be defined as "a vast branch of computer science that endeavors to build smart entities capable of performing intelligent tasks without human intervention." In other words, AI is the simulation of human intelligence in machines, which grants them the capabilities to mimic and behave like humans. These entities are grouped under a single umbrella term known as Intelligent Agents (IA). If an entity can see its surroundings, comprehend it, and act upon it, then that creature is considered an IA. It is possible to perceive it as being composed of three halves. First, there are the Sensors in the system. It is a reference to the portion of the AI that is responsible for assisting it in perceiving stimuli from the outside environment. The Actuators are the second entity in the system. AI can include methods that create the required effects with the assistance of this. The third component of the agent is the Effector, which is utilized by the agent to exert its influence on the surrounding environment. Consequently, we can comprehend the idea of PEAS from this. Performance Measurement, Environment, Actuator, and Sensor are the components that make up PEAS. Using PEAS, we can gain a more in-depth understanding of Intelligent Agents, which in turn helps us develop more effective Rational Agents. A performance metric is a judgment of how well something is performing. Environment is a term that relates to the surrounding environment, which includes the entities that are doing the act. Actuators are the components or instruments that are essential to the operation of the mechanism
The Educational Intelligent Economy
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Author : Tavis D. Jules
language : en
Publisher: Emerald Group Publishing
Release Date : 2019-11-25
The Educational Intelligent Economy written by Tavis D. Jules and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-25 with Education categories.
This book examines, from a comparative perspective, the impact of the movement from the so-called knowledge-based economy towards the Intelligent Economy, which is premised upon the application of knowledge. This volume links the advent of this new technological revolution to the world of governance and policy formulation in education.
Internet Of Things Enabled Machine Learning For Biomedical Application
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Author : Neha Goel
language : en
Publisher: CRC Press
Release Date : 2024-11-13
Internet Of Things Enabled Machine Learning For Biomedical Application written by Neha Goel and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-13 with Technology & Engineering categories.
The text begins by highlighting the benefits of the Internet of Things-enabled machine learning in the healthcare sector, examines the diagnosis of diseases using machine learning algorithms, and analyzes security and privacy issues in the healthcare systems using the Internet of Things. The text elaborates on image processing implementation for medical images to detect and classify diseases based on magnetic resonance imaging and ultrasound images. This book: · Covers the procedure to recognize emotions using image processing and the Internet of Things-enabled machine learning. · Highlights security and privacy issues in the healthcare system using the Internet of Things. · Discusses classification and implementation techniques of image segmentation. · Explains different algorithms of machine learning for image processing in a comprehensive manner. · Provides computational intelligence on the Internet of Things for future biomedical applications including lung cancer. It is primarily written for graduate students and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and biomedical engineering.
The Internet Of Educational Things
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Author : Muralidhar Kurni
language : en
Publisher: Springer Nature
Release Date : 2024-09-19
The Internet Of Educational Things written by Muralidhar Kurni and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-19 with Computers categories.
The Internet of Educational Things - Enhancing Students’ Engagement and Learning Performance delves into the transformative potential of the Internet of Things (IoT) within education. This comprehensive guide explores how IoT technology can revolutionize traditional teaching methods and learning environments, fostering more interactive, adaptive, and data-driven experiences. The book covers a wide range of topics, including the development of IoT-enabled classrooms, intelligent tutoring systems, and online labs. By leveraging real-time data and advanced analytics, educators can personalize learning paths, enhance student engagement, and optimize resource allocation. Practical applications, real-world examples, and case studies illustrate the benefits and challenges of incorporating IoT in educational settings, making it a valuable resource for students, teachers, researchers, and policymakers. The book provides practical implementation strategies and addresses critical issues such as data privacy, cybersecurity, and ethical considerations. It thoroughly examines the latest technologies, including AI, AR, VR, and digital twins, and their integration with IoT to create futuristic learning environments. The book’s unique contribution lies in its emphasis on securing IoT systems and its recommendations for overcoming infrastructure readiness and staff training obstacles. By presenting a forward-looking perspective on the role of IoT in education, this book aims to equip stakeholders with the knowledge and tools necessary to create innovative, inclusive, and secure learning ecosystems that prepare students for the future.
Interdisciplinary Approaches To Ai Internet Of Everything And Machine Learning
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Author : Pandey, Digvijay
language : en
Publisher: IGI Global
Release Date : 2024-12-13
Interdisciplinary Approaches To Ai Internet Of Everything And Machine Learning written by Pandey, Digvijay and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-13 with Computers categories.
Artificial intelligence (AI), the Internet of Everything (IoE), and Machine Learning (ML) are transforming modern society by driving innovation and improving efficiency across diverse fields. These technologies enable seamless connectivity, intelligent decision-making, and data-driven solutions that address complex global challenges. From revolutionizing industries like healthcare, education, and transportation to enhancing communication and resource management, their applications are vast and impactful. Interdisciplinary approaches are critical for unlocking their full potential, fostering collaboration across sectors to develop sustainable, ethical, and inclusive solutions. As these technologies continue to shape the future, they hold the promise of advancing societal progress while addressing pressing issues. Interdisciplinary Approaches to AI, Internet of Everything, and Machine Learning explores interdisciplinary approaches to harnessing AI, IoT, and ML to address complex challenges and drive innovation across various fields. It emphasizes collaborative strategies to develop sustainable, ethical, and impactful technological solutions for a rapidly evolving world. Covering topics such as artificial neural networks, management information systems, and supply chain management, this book is an excellent resource for researchers, technologists, industry professionals, educators, policymakers, and more.
Artificial Intelligence To Solve Pervasive Internet Of Things Issues
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Author : Gurjit Kaur
language : en
Publisher: Academic Press
Release Date : 2020-11-18
Artificial Intelligence To Solve Pervasive Internet Of Things Issues written by Gurjit Kaur and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-18 with Science categories.
Artificial Intelligence to Solve Pervasive Internet of Things Issues discusses standards and technologies and wide-ranging technology areas and their applications and challenges, including discussions on architectures, frameworks, applications, best practices, methods and techniques required for integrating AI to resolve IoT issues. Chapters also provide step-by-step measures, practices and solutions to tackle vital decision-making and practical issues affecting IoT technology, including autonomous devices and computerized systems. Such issues range from adopting, mitigating, maintaining, modernizing and protecting AI and IoT infrastructure components such as scalability, sustainability, latency, system decentralization and maintainability. The book enables readers to explore, discover and implement new solutions for integrating AI to solve IoT issues. Resolving these issues will help readers address many real-world applications in areas such as scientific research, healthcare, defense, aeronautics, engineering, social media, and many others. - Discusses intelligent techniques for the implementation of Artificial Intelligence in Internet of Things - Prepared for researchers and specialists who are interested in the use and integration of IoT and Artificial Intelligence technologies
Internet Of Things And Machine Learning In Agriculture
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Author : Jyotir Moy Chatterjee
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2021-02-08
Internet Of Things And Machine Learning In Agriculture written by Jyotir Moy Chatterjee and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-08 with Computers categories.
Agriculture is one of the most fundamental human activities. As the farming capacity has expanded, the usage of resources such as land, fertilizer, and water has grown exponentially, and environmental pressures from modern farming techniques have stressed natural landscapes. Still, by some estimates, worldwide food production needs to increase to keep up with global food demand. Machine Learning and the Internet of Things can play a promising role in the Agricultural industry, and help to increase food production while respecting the environment. This book explains how these technologies can be applied, offering many case studies developed in the research world.
Internet Of Things Iciot 2024
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Author : Shunli Zhang
language : en
Publisher: Springer Nature
Release Date : 2024-11-16
Internet Of Things Iciot 2024 written by Shunli Zhang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-16 with Computers categories.
This book constitutes the refereed proceedings of the 9th International Conference on Internet of Things – ICIOT 2024, held as part of the Services Conference Federation, SCF 2024, in Bangkok, Thailand, during November 16-19, 2024. The 9 full papers presented in this volume were carefully reviewed and selected from 16 submissions. These papers focus on current research in various aspects of IOT technologies and applications, including sensors and other types of sensing devices, wired and wireless networks, platforms and tools, data processing/visualization/analysis and integration engines.
Machine Learning For Critical Internet Of Medical Things
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Author : Fadi Al-Turjman
language : en
Publisher: Springer Nature
Release Date : 2022-02-03
Machine Learning For Critical Internet Of Medical Things written by Fadi Al-Turjman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-03 with Technology & Engineering categories.
This book discusses the applications, challenges, and future trends of machine learning in medical domain, including both basic and advanced topics. The book presents how machine learning is helpful in smooth conduction of administrative processes in hospitals, in treating infectious diseases, and in personalized medical treatments. The authors show how machine learning can also help make fast and more accurate disease diagnoses, easily identify patients, help in new types of therapies or treatments, model small-molecule drugs in pharmaceutical sector, and help with innovations via integrated technologies such as artificial intelligence as well as deep learning. The authors show how machine learning also improves the physician’s and doctor’s medical capabilities to better diagnosis their patients. This book illustrates advanced, innovative techniques, frameworks, concepts, and methodologies of machine learning that will enhance the efficiency and effectiveness of the healthcare system. Provides researchers in machine and deep learning with a conceptual understanding of various methodologies of implementing the technologies in medical areas; Discusses the role machine learning and IoT play into locating different virus and diseases across the globe, such as COVID-19, Ebola, and cervical cancer; Includes fundamentals and advances in machine learning in the medical field, supported by significant case studies and practical applications.