Artificial Intelligence & Blockchain in CPS by Muhammad Arif (.PDF)

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File Size: 40.0 MB

Artificial Intelligence & Blockchain in Cyber Physical Systems: Technologies & Applications by Muhammad Arif, Valentina Emilia Balas, Tabrez Nafis
Requirements: .PDF reader, 40.0 MB
Overview: This book explores the intersection of blockchain technology, artificial intelligence (AI) and cyber physical systems (CPS). It discusses how these technologies can be integrated to create secure and efficient CPS solutions. The book covers various topics, including the basics of blockchain and AI, their applications in CPS and the challenges of integrating these technologies. It also explores real-world examples of how blockchain and AI are used in CPS, such as smart cities, transportation systems and healthcare. The authors delve into the technical aspects of how blockchain and AI can be used together to enhance CPS security, data privacy and interoperability. They also discuss the potential benefits and limitations of these technologies and provide insights into the future of CPS. The goal of this project was to study time- series data and explore as many options as possible to accurately predict the stock price. Through my research I came to know about Recurrent Neural Networks (RNN) which are used specifically for sequence and pattern learning. They are networks with loops in them, allowing information to persist and thus having the ability to memorize the data accurately. However, Recurrent Neural Networks have a vanishing gradient descent problem which does not allow them to learn from past data as was expected. The remedy for this problem was solved in Long- Short Term Memory Networks, usually referred to as LSTMs. These are a special kind of RNN, capable of learning long- term dependencies.
Genre: Non-Fiction > Tech & Devices

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