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Intelligent Decision Support System For Iot-Enabling Technologies: Opportunities, Challenges And Applications

~~304,75€~~ 274,28€ 10% OFF

 This book focuses on the Internet of Things (IoT) and Decision Support Systems to proffer preventive and intelligent systems. The major areas covered in this book are IoT challenges and opportunities, IoT-enabling technologies, decision support systems, smart applications, and intelligent systems to satisfy the goals of societal and economic issues. This book includes various problems in healthcare, insurance, and agricultural sectors. Intelligent and IoT-based applications like healthcare systems, intelligent transportation systems, business intelligence, and artificial intelligence in sustainable agriculture are extensively discussed in various chapters. IoT and Machine Learning Applications for the industrial sector are also highlighted. This book is most suitable for data scientists, doctors, engineers, economists, and specialists in the agricultural sector. This book will benefit the UG/PG and research scholars to understand various domains like agriculture, insurance, enviroment and healthcare sectors with applications of IoT, machine learning, Artificial Intelligence etc.
ENGLISH

Ai-Enabled Iot For Smart Health Care Systems

258,38€ + 10% CARD

 The book focuses on intelligent computer-aided tools and techniques for early and precise disease diagnosis. Trending topics like deep learning and the internet of things have immense opportunities in healthcare data analytics. So, the contents of the book are targeted mainly at the automated CAD tools for healthcare data analytics. A major portion of the book emphasizes the recent state-of-the-art methodologies, tools, and datasets that are used in healthcare diagnosis, patient monitoring, healthcare recommendation systems, etc.
ENGLISH

Artificial Intelligence And Digital Diversity Inclusiveness In Corporate Restructuring

304,75€ + 10% CARD

 In this era of globalization, diversity in the business environment is about more than gender, race and ethnicity. It now includes employees with diverse religious and political beliefs, education, socioeconomic backgrounds, sexual orientation, cultures and even disabilities. Companies are discovering that, by supporting and promoting a diverse and inclusive workplace, they are gaining benefits that go beyond the optics. There is no industry left where artificial intelligence is not used in some capacity. Considering the pace at which AI, machine learning and deep learning have been developing in recent years, it is expected that AI will profoundly modify the way we live and work. One of the areas in which this paradigm may stand out in the future is related to diversity and inclusion within companies. AI can detect potential bias and prejudice in decision-making by simulating intelligent behaviour, potentially reducing trends and prejudices that could hinder organizations’ ability to recruit diversely and inclusively.
ENGLISH

Internet Of Everything: Smart Sensing Technologies

304,75€ + 10% CARD

 The Internet of Things (IoT) refers to a system of interconnected computing devices with sensors, processing ability, and software, which connect and communicate with other devices and systems over the internet or other networks. IoT technology enables applications that perform tasks without human-to-human or human-to-computer interaction, improving efficiency and generating new opportunities. IoT digitalizes industries to improve product quality and cost and creates the potential for a fully networked, human-centered society with healthy economic growth. The concept of Internet of Everything (IoE) goes beyond IoT to include the connections between people, things, data, and processes combined into a common interrelated system, leveraging human and artificial intelligence to improve decisions and experience, and represents the future of IoT technology. Internet of Everything: Smart Sensing Technologies addresses the forefront of study of IoE by presenting state-of-the-art research along with current and future challenges in building new, smart applications. Specific topics covered include sensing, connectivity and communication, knowledge extraction by discovering resources for modeling information, and security and privacy. The sixteen chapters of this book will benefit students, researchers, and others who are interested in the future of this exciting technology.
ENGLISH

Intelligent Information Retrieval For Healthcare Systems

258,38€ + 10% CARD

 Ontology-based information extraction is considered as an effective method to improve the performance of information extraction (IE) systems. For research and disbursal of customized healthcare services, a major challenge is to efficiently retrieve and analyze the individual patient data from a large volume of heterogeneous data over a long span of time. This requires effective ontology-based information retrieval approaches for clinical information systems. This book is an attempt to highlight the key advances in ontology-based information retrieval techniques especially in the healthcare domain. The varied chapters attempt to uncover the current challenges in the application of ontology-based information retrieval techniques to the healthcare systems. This book is the first of its kind that highlights the ontology-driven information retrieval mechanisms and techniques being applied to healthcare as well as clinical information systems. It can serve as a textbook for courses in healthcare systems. It can also serve as a reference book to medical practitioners and researchers involved in implementing as well as providing customized health care solutions to patients.
ENGLISH

Machine Learning Algorithms Using Python Programming

by Gopal Sakarkar

125,88€ + 10% CARD

 The machine learning field is concerned with the question of how to create computer programs that automatically improve information. In recent years, many successful electronic learning applications have been made, from data mining systems that learn to detect fraudulent credit card transactions, filtering programs that learn user readings, to private cars that learn to drive on public highways. At the same time, there have been significant developments in the concepts and algorithms that form the basis for this field. Machine learning is programming computers to optimize a performance criterion using example data or past experience. The goal of this textbook is to present the key concepts of Machine Learning which includes Python concepts and Interpreter, Foundation of Machine Learning, Data Pre-processing, Supervised Machine Learning, Unsupervised Machine Learning, Reinforcement Learning, Kernel Machine, Design and analysis of Machine Learning experiment and Data visualization. The theoretical concepts along with coding implementation are covered. This book aims to pursue a middle ground between a theoretical textbook and one that focuses on applications. The book concentrates on the important ideas in machine learning.
ENGLISH

Biomedical Engineering And Signal Processing With Ai And Ml

~~275,77€~~ 248,19€ 10% OFF

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