Smart Electronic Devices by Yogesh Kumar Verma (.ePUB)+
File Size: 58.5 MB
Smart Electronic Devices: Artificial Intelligence, Machine Learning, and the Future by Yogesh Kumar Verma, Manoj Singh Adhikari, Varun Mishra, Suman Lata Tripathi, Manoj Kumar Shukla
Requirements: .ePUB, .PDF reader, 58.5 MB
Overview: The book analyzes the use of smart medical devices that use Artificial Intelligence (AI) and Machine Learning (ML) to analyze medical images, detect diseases, and assist in diagnosis. It further focuses on real-world applications of Artificial Intelligence and Machine Learning in smart electronic devices, demonstrating how these technologies are being used in various industries, such as healthcare, automotive, finance, and consumer electronics. The aim of incorporating AI and ML in smart devices is to create intelligent devices that can adapt and learn from their environment, provide personalized experiences to users, and automate routine tasks to improve efficiency. The scope of AI and ML in smart devices is vast and can be seen in various applications, including voice assistants like Siri, Alexa, and Google Assistant use natural language processing (NLP) and Machine Learning algorithms to understand and respond to users’ voice commands. Smart homes use AI and ML to automate routine tasks, such as turning on/off lights, adjusting thermostats, and controlling home appliances based on user behavior. Wearable devices like smartwatches and fitness trackers use AI and ML to track users’ physical activity, monitor their health, and provide personalized recommendations based on their habits. Autonomous vehicles use AI and ML to analyze sensor data from cameras and other sources to navigate and make decisions on the road. AI and ML are used in industrial automation to optimize processes, reduce waste, and increase productivity. Overall, the integration of AI and ML in smart devices enables devices to become more intelligent and intuitive, providing users with a better and more personalized experience. It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields including electrical engineering, electronics, and communications engineering, Computer Science and engineering, and biomedical engineering.
Genre: Non-Fiction > Tech & Devices
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