Machine Learning Dan Internet Of Things Iot
DOWNLOAD
Download Machine Learning Dan Internet Of Things Iot PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Machine Learning Dan Internet Of Things Iot book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Machine Learning Dan Internet Of Things Iot
DOWNLOAD
Author : Dewanto Rosian Adhy
language : id
Publisher: PT. Star Digital Publishing, Yogyakarta-Indonesia
Release Date : 2025-05-15
Machine Learning Dan Internet Of Things Iot written by Dewanto Rosian Adhy and has been published by PT. Star Digital Publishing, Yogyakarta-Indonesia this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-15 with Computers categories.
Buku ini menyajikan pemahaman mendalam tentang sinergi antara Machine Learning (ML) dan Internet of Things (IoT), serta bagaimana keduanya dapat diimplementasikan untuk menciptakan solusi inovatif di berbagai bidang. Berikut adalah garis besar isi buku: Di dalam buku dimulai dengan paparan singkat tentang Machine Learning dan Internet of Things. Dilanjutkan dengan paparan terkait perkembangan Machine Learning dalam implementasinya di area Internet of Things yang beragam. Paparan dibuat dalam bentuk review dari artikel jurnal terkait dengan Penelitian dan pengembangan ML dalam IoT. Bentuk paparan ini berharap memberikan gambaran sampai dimana perkembangannya dan tantangan apa saja yang perlu dijawab oleh peneliti atau praktisi ML dan IoT. Buku ini diharapkan dapat memberikan wawasan yang berharga dan mendorong para peneliti, praktisi, dan mahasiswa untuk terus mengeksplorasi dan mengembangkan solusi berbasis ML dan IoT, sehingga dapat memberikan manfaat yang signifikan bagi masyarakat.
Research Anthology On Artificial Intelligence Applications In Security
DOWNLOAD
Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2020-11-27
Research Anthology On Artificial Intelligence Applications In Security written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-27 with Computers categories.
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.
Applied Learning Algorithms For Intelligent Iot
DOWNLOAD
Author : Pethuru Raj Chelliah
language : en
Publisher: CRC Press
Release Date : 2021-10-28
Applied Learning Algorithms For Intelligent Iot written by Pethuru Raj Chelliah and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-28 with Computers categories.
This book vividly illustrates all the promising and potential machine learning (ML) and deep learning (DL) algorithms through a host of real-world and real-time business use cases. Machines and devices can be empowered to self-learn and exhibit intelligent behavior. Also, Big Data combined with real-time and runtime data can lead to personalized, prognostic, predictive, and prescriptive insights. This book examines the following topics: Cognitive machines and devices Cyber physical systems (CPS) The Internet of Things (IoT) and industrial use cases Industry 4.0 for smarter manufacturing Predictive and prescriptive insights for smarter systems Machine vision and intelligence Natural interfaces K-means clustering algorithm Support vector machine (SVM) algorithm A priori algorithms Linear and logistic regression Applied Learning Algorithms for Intelligent IoT clearly articulates ML and DL algorithms that can be used to unearth predictive and prescriptive insights out of Big Data. Transforming raw data into information and relevant knowledge is gaining prominence with the availability of data processing and mining, analytics algorithms, platforms, frameworks, and other accelerators discussed in the book. Now, with the emergence of machine learning algorithms, the field of data analytics is bound to reach new heights. This book will serve as a comprehensive guide for AI researchers, faculty members, and IT professionals. Every chapter will discuss one ML algorithm, its origin, challenges, and benefits, as well as a sample industry use case for explaining the algorithm in detail. The book’s detailed and deeper dive into ML and DL algorithms using a practical use case can foster innovative research.
Internet Of Things And Machine Learning For Type I And Type Ii Diabetes
DOWNLOAD
Author : Sujata Dash
language : en
Publisher: Elsevier
Release Date : 2024-07-07
Internet Of Things And Machine Learning For Type I And Type Ii Diabetes written by Sujata Dash and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-07 with Medical categories.
Internet of Things and Machine Learning for Type I and Type II Diabetes: Use Cases provides a medium of exchange of expertise and addresses the concerns, needs, and problems associated with Type I and Type II diabetes. Expert contributions come from researchers across biomedical, data mining, and deep learning. This is an essential resource for both the AI and Biomedical research community, crossing various sectors for broad coverage of the concepts, themes, and instrumentalities of this important and evolving area. Coverage includes IoT, AI, Deep Learning, Machine Learning and Big Data Analytics for diabetes and health informatics. - Integrates many Machine learning techniques in biomedical domain to detect various types of diabetes to utilizing large volumes of available diabetes-related data for extracting knowledge - It integrates data mining and IoT techniques to monitor diabetes patients using their medical records (HER) and administrative data - Includes clinical applications to highlight contemporary use of these machine learning algorithms and artificial intelligence-driven models beyond research settings
Rethinking The Internet Of Things
DOWNLOAD
Author : Francis daCosta
language : en
Publisher: Apress
Release Date : 2014-01-23
Rethinking The Internet Of Things written by Francis daCosta and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-23 with Computers categories.
Apress is proud to announce that Rethinking the Internet of Things was a 2014 Jolt Award Finalist, the highest honor for a programming book. And the amazing part is that there is no code in the book. Over the next decade, most devices connected to the Internet will not be used by people in the familiar way that personal computers, tablets and smart phones are. Billions of interconnected devices will be monitoring the environment, transportation systems, factories, farms, forests, utilities, soil and weather conditions, oceans and resources. Many of these sensors and actuators will be networked into autonomous sets, with much of the information being exchanged machine-to-machine directly and without human involvement. Machine-to-machine communications are typically terse. Most sensors and actuators will report or act upon small pieces of information - "chirps". Burdening these devices with current network protocol stacks is inefficient, unnecessary and unduly increases their cost of ownership. This must change. The architecture of the Internet of Things must evolve now by incorporating simpler protocols toward at the edges of the network, or remain forever inefficient. Rethinking the Internet of Things describes reasons why we must rethink current approaches to the Internet of Things. Appropriate architectures that will coexist with existing networking protocols are described in detail. An architecture comprised of integrator functions, propagator nodes, and end devices, along with their interactions, is explored.
Machine Learning And Probabilistic Graphical Models For Decision Support Systems
DOWNLOAD
Author : Kim Phuc Tran
language : en
Publisher: CRC Press
Release Date : 2022-10-13
Machine Learning And Probabilistic Graphical Models For Decision Support Systems written by Kim Phuc Tran and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-13 with Computers categories.
This book presents recent advancements in research, a review of new methods and techniques, and applications in decision support systems (DSS) with Machine Learning and Probabilistic Graphical Models, which are very effective techniques in gaining knowledge from Big Data and in interpreting decisions. It explores Bayesian network learning, Control Chart, Reinforcement Learning for multicriteria DSS, Anomaly Detection in Smart Manufacturing with Federated Learning, DSS in healthcare, DSS for supply chain management, etc. Researchers and practitioners alike will benefit from this book to enhance the understanding of machine learning, Probabilistic Graphical Models, and their uses in DSS in the context of decision making with uncertainty. The real-world case studies in various fields with guidance and recommendations for the practical applications of these studies are introduced in each chapter.
Technical Courses And Learning By Daniel Goulart
DOWNLOAD
Author : Daniel Goulart
language : en
Publisher: Ablic
Release Date : 2025-06-29
Technical Courses And Learning By Daniel Goulart written by Daniel Goulart and has been published by Ablic this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-29 with Education categories.
Choosing a career path in today's technology-driven world can feel like navigating a vast and complex landscape. The sheer breadth of options, from software engineering to digital design, from artificial intelligence to fashion technology, can be both exciting and overwhelming. This book serves as your compass, guiding you through the diverse fields of technology education and helping you identify the learning path best suited to your individual aspirations, skills, and learning style. Within these pages, you will discover a structured approach to understanding the curriculum and career prospects within various technological domains. We move beyond simply listing courses and instead provide a contextual framework for understanding the interconnectedness of different technological fields. For example, understanding the basics of programming is beneficial not only for software development but also for fields such as AI development, data analysis, and even aspects of digital design. Similarly, a foundation in design principles can be invaluable not only for graphic designers but also for UX/UI developers and even those working in the fashion technology industry. The aim is to highlight the transferability of skills and the importance of interdisciplinary thinking in the modern technology landscape. We strive to demystify the learning process by offering clear, concise explanations and practical examples. We'll explore the diverse learning pathways available – from online courses and bootcamps to traditional university programs and self-directed learning. The goal is to empower you to make informed decisions about your educational journey, selecting the learning methods and resources that best suit your needs and learning style. This book is more than a collection of facts; it's an invitation to explore the boundless possibilities within the technology sector. It's a resource that encourages active learning, critical thinking, and the development of crucial transferable skills necessary for success in the ever-evolving technological world. So, let's begin this exploration, together, and discover the exciting opportunities that await you.
Prediction In Medicine The Impact Of Machine Learning On Healthcare
DOWNLOAD
Author : Neeta Verma
language : en
Publisher: Bentham Science Publishers
Release Date : 2024-10-11
Prediction In Medicine The Impact Of Machine Learning On Healthcare written by Neeta Verma and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-11 with Computers categories.
Prediction in Medicine: The Impact of Machine Learning on Healthcare explores the transformative power of advanced data analytics and machine learning in healthcare. This comprehensive guide covers predictive analysis, leveraging electronic health records (EHRs) and wearable devices to optimize patient care and healthcare planning. Key topics include disease diagnosis, risk assessment, and precision medicine advancements in cardiovascular health and hypertension management. The book also addresses challenges in interpreting clinical data and navigating ethical considerations. It examines the role of AI in healthcare emergencies and infectious disease management, highlighting the integration of diverse data sources like medical imaging and genomic data. Prediction in Medicine is essential for students, researchers, healthcare professionals, and general readers interested in the future of healthcare and technological innovation.
Biomedical Engineering Systems And Technologies
DOWNLOAD
Author : Xuesong Ye
language : en
Publisher: Springer Nature
Release Date : 2021-03-29
Biomedical Engineering Systems And Technologies written by Xuesong Ye and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-29 with Medical categories.
This book constitutes extended and revised versions of the selected papers from the 13th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2020, held in Valletta, Malta, in February 2020. The 29 revised and extended full papers presented were carefully reviewed and selected from a total of 363 submissions. The papers are organized in topical sections on biomedical electronics and devices; bioimaging; bioinformatics models, methods and algorithms; bio-inspired systems and signal processing; health informatic
Machine Learning For Critical Internet Of Medical Things
DOWNLOAD
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.