Intelligent Decision Support System for IoT-Enabling Technologies: Opportunities, Challenges and Applications by Subrata Sahana, Anil Kumar Sagar, Sanjoy Das
Requirements: .PDF reader, 28.8 MB
Overview: 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 (AI) 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. Algorithms that can learn on their own from data are the subject of Artificial Intelligence (AI) and Machine Learning (ML) research. Deep Learning (DL) principles utilized in video games and self-driving cars are evidence that machine learning techniques have evolved greatly over the past ten years. As a result, researchers have started to look at machine learning’s potential for use in the industry. According to various studies, Machine Learning is one of the key enabling technologies that will enable the transition from an old-school production system to Industry 4.0.
Genre: Non-Fiction > Tech & Devices
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https://katfile.com/zk6rsqvk8rcu/Intell ... n.pdf.html
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Requirements: .PDF reader, 28.8 MB
Overview: 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 (AI) 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. Algorithms that can learn on their own from data are the subject of Artificial Intelligence (AI) and Machine Learning (ML) research. Deep Learning (DL) principles utilized in video games and self-driving cars are evidence that machine learning techniques have evolved greatly over the past ten years. As a result, researchers have started to look at machine learning’s potential for use in the industry. According to various studies, Machine Learning is one of the key enabling technologies that will enable the transition from an old-school production system to Industry 4.0.
Genre: Non-Fiction > Tech & Devices
Download Instructions:
https://tbit.to/ui0x0gu4xlau.html
https://katfile.com/zk6rsqvk8rcu/Intell ... n.pdf.html
https://rapidgator.net/file/e6a17ca17b5 ... n.pdf.html
Trouble downloading? Read This.