Machine Learning And The Internet Of Things In Education

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Machine Learning and the Internet of Things in Education

John Bush Idoko,Rahib Abiyev
Machine Learning and the Internet of Things in Education Book PDF

Author : John Bush Idoko,Rahib Abiyev
Publisher : Springer Nature
Page : 280 pages
File Size : 46,8 Mb
Release : 2023-09-30
Category : Technology & Engineering
ISBN : 9783031429248

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Machine Learning and the Internet of Things in Education by John Bush Idoko,Rahib Abiyev Pdf

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.

The Internet of Things for Education

Linda Daniela
The Internet of Things for Education Book PDF

Author : Linda Daniela
Publisher : Springer Nature
Page : 198 pages
File Size : 41,8 Mb
Release : 2021-12-02
Category : Education
ISBN : 9783030857202

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The Internet of Things for Education by Linda Daniela Pdf

This book is about the Internet of Things in the field of education. Specifically, it focuses on two major topics: IoT (Internet of Things) solutions to support distance education and new pedagogical approaches to support development of computational thinking with educational devices possessing the characteristics of IoT. As the educational landscape has dramatically changed in times of global pandemic, online resources and media, such as IoT, have become increasingly important. This situation compels all educational scholars, researchers and practitioners to search for new solutions, new educational pathways and new agents for knowledge development to support learning. This book presents the possibilities of IoT as both a catalyst and performance tool for education. The convergence of multiple technologies, real-time analytics, machine learning, commodity sensors, and embedded systems can serve as tools for learning support and this book details exactly how these powerful tools can be utilized to best effect.

The Educational Intelligent Economy

Tavis D. Jules,Florin D. Salajan
The Educational Intelligent Economy Book PDF

Author : Tavis D. Jules,Florin D. Salajan
Publisher : Emerald Group Publishing
Page : 304 pages
File Size : 44,6 Mb
Release : 2019-11-25
Category : Education
ISBN : 9781787548527

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The Educational Intelligent Economy by Tavis D. Jules,Florin D. Salajan Pdf

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.

Examining the Impact of Deep Learning and IoT on Multi-Industry Applications

Raut, Roshani,Mihovska, Albena Dimitrova
Examining the Impact of Deep Learning and IoT on Multi Industry Applications Book PDF

Author : Raut, Roshani,Mihovska, Albena Dimitrova
Publisher : IGI Global
Page : 304 pages
File Size : 42,8 Mb
Release : 2021-01-29
Category : Computers
ISBN : 9781799875178

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Examining the Impact of Deep Learning and IoT on Multi-Industry Applications by Raut, Roshani,Mihovska, Albena Dimitrova Pdf

Deep learning, as a recent AI technique, has proven itself efficient in solving many real-world problems. Deep learning algorithms are efficient, high performing, and an effective standard for solving these problems. In addition, with IoT, deep learning is in many emerging and developing domains of computer technology. Deep learning algorithms have brought a revolution in computer vision applications by introducing an efficient solution to several image processing-related problems that have long remained unresolved or moderately solved. Various significant IoT technologies in various industries, such as education, health, transportation, and security, combine IoT with deep learning for complex problem solving and the supported interaction between human beings and their surroundings. Examining the Impact of Deep Learning and IoT on Multi-Industry Applications provides insights on how deep learning, together with IoT, impacts various sectors such as healthcare, agriculture, cyber security, and social media analysis applications. The chapters present solutions to various real-world problems using these methods from various researchers’ points of view. While highlighting topics such as medical diagnosis, power consumption, livestock management, security, and social media analysis, this book is ideal for IT specialists, technologists, security analysts, medical practitioners, imaging specialists, diagnosticians, academicians, researchers, industrial experts, scientists, and undergraduate and postgraduate students who are working in the field of computer engineering, electronics, and electrical engineering.

Integrating the Internet of Things Into Software Engineering Practices

Mala, D. Jeya
Integrating the Internet of Things Into Software Engineering Practices Book PDF

Author : Mala, D. Jeya
Publisher : IGI Global
Page : 293 pages
File Size : 53,5 Mb
Release : 2019-01-25
Category : Computers
ISBN : 9781522577911

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Integrating the Internet of Things Into Software Engineering Practices by Mala, D. Jeya Pdf

To provide the necessary security and quality assurance activities into Internet of Things (IoT)-based software development, innovative engineering practices are vital. They must be given an even higher level of importance than most other events in the field. Integrating the Internet of Things Into Software Engineering Practices provides research on the integration of IoT into the software development life cycle (SDLC) in terms of requirements management, analysis, design, coding, and testing, and provides security and quality assurance activities to IoT-based software development. The content within this publication covers agile software, language specification, and collaborative software and is designed for analysts, security experts, IoT software programmers, computer and software engineers, students, professionals, and researchers.

Applications of Machine Learning and Artificial Intelligence in Education

Khadimally, Seda
Applications of Machine Learning and Artificial Intelligence in Education Book PDF

Author : Khadimally, Seda
Publisher : IGI Global
Page : 271 pages
File Size : 50,5 Mb
Release : 2022-02-18
Category : Education
ISBN : 9781799877783

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Applications of Machine Learning and Artificial Intelligence in Education by Khadimally, Seda Pdf

Modes and models of learning and instruction have shown a significant shift from yesterday's conventional learning and teaching given this era’s current educational and social contexts. Learners are no longer learning and communicating with human-generated, computed, and mediated—or traditional—learning and instructional practices, paving the way for machine-facilitated communication, learning, and teaching tools. Learning and instruction, communication and information exchange, as well as gathering, coding, analyzing, and synthesizing data have proven to be in need of even more innovative technology-moderated tools. Applications of Machine Learning and Artificial Intelligence in Education focuses on the parameters of remote learning, machine learning, deep learning, and artificial intelligence under 21st-century learning and instructional contexts. Covering topics such as data coding and social networking technology, it is ideal for learners with an interest in the deep learning discipline, educators, educational technologists, instructional designers, and data evaluators, as well as special interest groups (SGIs) in the discipline.

Research Anthology on Artificial Intelligence Applications in Security

Management Association, Information Resources
Research Anthology on Artificial Intelligence Applications in Security Book PDF

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 2253 pages
File Size : 43,5 Mb
Release : 2020-11-27
Category : Computers
ISBN : 9781799877486

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Research Anthology on Artificial Intelligence Applications in Security by Management Association, Information Resources Pdf

As industries are rapidly being digitalized and information is being more heavily stored and transmitted online, the security of information has become a top priority in securing the use of online networks as a safe and effective platform. With the vast and diverse potential of artificial intelligence (AI) applications, it has become easier than ever to identify cyber vulnerabilities, potential threats, and the identification of solutions to these unique problems. The latest tools and technologies for AI applications have untapped potential that conventional systems and human security systems cannot meet, leading AI to be a frontrunner in the fight against malware, cyber-attacks, and various security issues. However, even with the tremendous progress AI has made within the sphere of security, it’s important to understand the impacts, implications, and critical issues and challenges of AI applications along with the many benefits and emerging trends in this essential field of security-based research. Research Anthology on Artificial Intelligence Applications in Security seeks to address the fundamental advancements and technologies being used in AI applications for the security of digital data and information. The included chapters cover a wide range of topics related to AI in security stemming from the development and design of these applications, the latest tools and technologies, as well as the utilization of AI and what challenges and impacts have been discovered along the way. This resource work is a critical exploration of the latest research on security and an overview of how AI has impacted the field and will continue to advance as an essential tool for security, safety, and privacy online. This book is ideally intended for cyber security analysts, computer engineers, IT specialists, practitioners, stakeholders, researchers, academicians, and students interested in AI applications in the realm of security research.

Machine Learning and Internet of Things for Societal Issues

Ch. Satyanarayana,Xiao-Zhi Gao,Choo-Yee Ting,Naresh Babu Muppalaneni
Machine Learning and Internet of Things for Societal Issues Book PDF

Author : Ch. Satyanarayana,Xiao-Zhi Gao,Choo-Yee Ting,Naresh Babu Muppalaneni
Publisher : Springer Nature
Page : 169 pages
File Size : 55,5 Mb
Release : 2022-02-25
Category : Computers
ISBN : 9789811650901

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Machine Learning and Internet of Things for Societal Issues by Ch. Satyanarayana,Xiao-Zhi Gao,Choo-Yee Ting,Naresh Babu Muppalaneni Pdf

This book highlights recent advance in the area of Machine Learning and IoT, and their applications to solve societal issues/problems or useful for various users in the society. It is known that many smart devices are interconnected and the data generated is being analyzed and processed with machine learning models for prediction, classification, etc., to solve human needs in various sectors like health, road safety, agriculture, and education. This contributed book puts together chapters concerning the use of intelligent techniques in various aspects related to the IoT domain from protocols to applications, to give the reader an up-to-date picture of the state-of-the-art on the connection between computational intelligence, machine learning, and IoT.

Green Internet of Things and Machine Learning

Roshani Raut,Sandeep Kautish,Zdzislaw Polkowski,Anil Kumar,Chuan-Ming Liu
Green Internet of Things and Machine Learning Book PDF

Author : Roshani Raut,Sandeep Kautish,Zdzislaw Polkowski,Anil Kumar,Chuan-Ming Liu
Publisher : John Wiley & Sons
Page : 279 pages
File Size : 53,9 Mb
Release : 2022-01-10
Category : Computers
ISBN : 9781119793120

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Green Internet of Things and Machine Learning by Roshani Raut,Sandeep Kautish,Zdzislaw Polkowski,Anil Kumar,Chuan-Ming Liu Pdf

Health Economics and Financing Encapsulates different case studies where green-IOT and machine learning can be used for making significant progress towards improvising the quality of life and sustainable environment. The Internet of Things (IoT) is an evolving idea which is responsible for connecting billions of devices that acquire, perceive, and communicate data from their surroundings. Because this transmission of data uses significant energy, improving energy efficiency in IOT devices is a significant topic for research. The green internet of things (G-IoT) makes it possible for IoT devices to use less energy since intelligent processing and analysis are fundamental to constructing smart IOT applications with large data sets. Machine learning (ML) algorithms that can predict sustainable energy consumption can be used to prepare guidelines to make IoT device implementation easier. Green Internet of Things and Machine Learning lays the foundation of in-depth analysis of principles of Green-Internet of Things (G-IoT) using machine learning. It outlines various green ICT technologies, explores the potential towards diverse real-time areas, as well as highlighting various challenges and obstacles towards the implementation of G-IoT in the real world. Also, this book provides insights on how the machine learning and green IOT will impact various applications: It covers the Green-IOT and ML-based smart computing, ML techniques for reducing energy consumption in IOT devices, case studies of G-IOT and ML in the agricultural field, smart farming, smart transportation, banking industry and healthcare. Audience The book will be helpful for research scholars and researchers in the fields of computer science and engineering, information technology, electronics and electrical engineering. Industry experts, particularly in R&D divisions, can use this book as their problem-solving guide.

Internet of Things and Machine Learning in Agriculture

Jyotir Moy Chatterjee,Abhishek Kumar,Pramod Singh Rathore,Vishal Jain
Internet of Things and Machine Learning in Agriculture Book PDF

Author : Jyotir Moy Chatterjee,Abhishek Kumar,Pramod Singh Rathore,Vishal Jain
Publisher : Walter de Gruyter GmbH & Co KG
Page : 454 pages
File Size : 42,8 Mb
Release : 2021-02-08
Category : Computers
ISBN : 9783110691283

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Internet of Things and Machine Learning in Agriculture by Jyotir Moy Chatterjee,Abhishek Kumar,Pramod Singh Rathore,Vishal Jain Pdf

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.

IoT, AI, and ICT for Educational Applications

Stamatios Papadakis
IoT AI and ICT for Educational Applications Book PDF

Author : Stamatios Papadakis
Publisher : Springer Nature
Page : 262 pages
File Size : 49,8 Mb
Release : 2024-01-18
Category : Technology & Engineering
ISBN : 9783031501395

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IoT, AI, and ICT for Educational Applications by Stamatios Papadakis Pdf

This book provides insight into the importance of advanced innovative technologies such as the Internet of Things (IoT), artificial intelligence (AI), and Metaverse as part of information and communication technology (ICT) solutions in education. Key features of this book include the recent and emerging developments in various specializations in education and finding their solutions by incorporating IoT, AI and ICT. This book presents useful applications, interventions, and case studies that cater to their improved requirements. Topics include formal and services based on IoT; AI technology for IoT-based educational delivery; interfacing devices to IoT; smart educational services; ChatGPT; Smartbots; and more. The authors include several practical solutions and applications of IoT and ICT in education. The book applies to researchers, academics, students, educators and practitioners around the world.

Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing

Velayutham, Sathiyamoorthi
Challenges and Opportunities for the Convergence of IoT Big Data and Cloud Computing Book PDF

Author : Velayutham, Sathiyamoorthi
Publisher : IGI Global
Page : 350 pages
File Size : 48,9 Mb
Release : 2021-01-29
Category : Computers
ISBN : 9781799831136

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Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing by Velayutham, Sathiyamoorthi Pdf

In today’s market, emerging technologies are continually assisting in common workplace practices as companies and organizations search for innovative ways to solve modern issues that arise. Prevalent applications including internet of things, big data, and cloud computing all have noteworthy benefits, but issues remain when separately integrating them into the professional practices. Significant research is needed on converging these systems and leveraging each of their advantages in order to find solutions to real-time problems that still exist. Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing is a pivotal reference source that provides vital research on the relation between these technologies and the impact they collectively have in solving real-world challenges. While highlighting topics such as cloud-based analytics, intelligent algorithms, and information security, this publication explores current issues that remain when attempting to implement these systems as well as the specific applications IoT, big data, and cloud computing have in various professional sectors. This book is ideally designed for academicians, researchers, developers, computer scientists, IT professionals, practitioners, scholars, students, and engineers seeking research on the integration of emerging technologies to solve modern societal issues.

Hands-On Artificial Intelligence for IoT

Amita Kapoor
Hands On Artificial Intelligence for IoT Book PDF

Author : Amita Kapoor
Publisher : Packt Publishing Ltd
Page : 382 pages
File Size : 53,6 Mb
Release : 2019-01-31
Category : Computers
ISBN : 9781788832762

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Hands-On Artificial Intelligence for IoT by Amita Kapoor Pdf

Build smarter systems by combining artificial intelligence and the Internet of Things—two of the most talked about topics today Key FeaturesLeverage the power of Python libraries such as TensorFlow and Keras to work with real-time IoT dataProcess IoT data and predict outcomes in real time to build smart IoT modelsCover practical case studies on industrial IoT, smart cities, and home automationBook Description There are many applications that use data science and analytics to gain insights from terabytes of data. These apps, however, do not address the challenge of continually discovering patterns for IoT data. In Hands-On Artificial Intelligence for IoT, we cover various aspects of artificial intelligence (AI) and its implementation to make your IoT solutions smarter. This book starts by covering the process of gathering and preprocessing IoT data gathered from distributed sources. You will learn different AI techniques such as machine learning, deep learning, reinforcement learning, and natural language processing to build smart IoT systems. You will also leverage the power of AI to handle real-time data coming from wearable devices. As you progress through the book, techniques for building models that work with different kinds of data generated and consumed by IoT devices such as time series, images, and audio will be covered. Useful case studies on four major application areas of IoT solutions are a key focal point of this book. In the concluding chapters, you will leverage the power of widely used Python libraries, TensorFlow and Keras, to build different kinds of smart AI models. By the end of this book, you will be able to build smart AI-powered IoT apps with confidence. What you will learnApply different AI techniques including machine learning and deep learning using TensorFlow and KerasAccess and process data from various distributed sourcesPerform supervised and unsupervised machine learning for IoT dataImplement distributed processing of IoT data over Apache Spark using the MLLib and H2O.ai platformsForecast time-series data using deep learning methodsImplementing AI from case studies in Personal IoT, Industrial IoT, and Smart CitiesGain unique insights from data obtained from wearable devices and smart devicesWho this book is for If you are a data science professional or a machine learning developer looking to build smart systems for IoT, Hands-On Artificial Intelligence for IoT is for you. If you want to learn how popular artificial intelligence (AI) techniques can be used in the Internet of Things domain, this book will also be of benefit. A basic understanding of machine learning concepts will be required to get the best out of this book.

Convergence of Deep Learning and Internet of Things: Computing and Technology

Kavitha, T.,Senbagavalli, G.,Koundal, Deepika,Guo, Yanhui,Jain, Deepak
Convergence of Deep Learning and Internet of Things Computing and Technology Book PDF

Author : Kavitha, T.,Senbagavalli, G.,Koundal, Deepika,Guo, Yanhui,Jain, Deepak
Publisher : IGI Global
Page : 371 pages
File Size : 55,8 Mb
Release : 2022-12-19
Category : Computers
ISBN : 9781668462775

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Convergence of Deep Learning and Internet of Things: Computing and Technology by Kavitha, T.,Senbagavalli, G.,Koundal, Deepika,Guo, Yanhui,Jain, Deepak Pdf

Digital technology has enabled a number of internet-enabled devices that generate huge volumes of data from different systems. This large amount of heterogeneous data requires efficient data collection, processing, and analytical methods. Deep Learning is one of the latest efficient and feasible solutions that enable smart devices to function independently with a decision-making support system. Convergence of Deep Learning and Internet of Things: Computing and Technology contributes to technology and methodology perspectives in the incorporation of deep learning approaches in solving a wide range of issues in the IoT domain to identify, optimize, predict, forecast, and control emerging IoT systems. Covering topics such as data quality, edge computing, and attach detection and prediction, this premier reference source is a comprehensive resource for electricians, communications specialists, mechanical engineers, civil engineers, computer scientists, students and educators of higher education, librarians, researchers, and academicians.

Computational Intelligence in the Internet of Things

Purnomo, Hindriyanto Dwi
Computational Intelligence in the Internet of Things Book PDF

Author : Purnomo, Hindriyanto Dwi
Publisher : IGI Global
Page : 342 pages
File Size : 45,9 Mb
Release : 2019-03-15
Category : Computers
ISBN : 9781522579564

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Computational Intelligence in the Internet of Things by Purnomo, Hindriyanto Dwi Pdf

In recent years, the need for smart equipment has increased exponentially with the upsurge in technological advances. To work to their fullest capacity, these devices need to be able to communicate with other devices in their network to exchange information and receive instructions. Computational Intelligence in the Internet of Things is an essential reference source that provides relevant theoretical frameworks and the latest empirical research findings in the area of computational intelligence and the Internet of Things. Featuring research on topics such as data analytics, machine learning, and neural networks, this book is ideally designed for IT specialists, managers, professionals, researchers, and academicians.