Hands On Deep Learning For Iot
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Hands On Deep Learning For Iot
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Author : Md. Rezaul Karim
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-06-27
Hands On Deep Learning For Iot written by Md. Rezaul Karim and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-27 with Computers categories.
Implement popular deep learning techniques to make your IoT applications smarter Key FeaturesUnderstand how deep learning facilitates fast and accurate analytics in IoTBuild intelligent voice and speech recognition apps in TensorFlow and ChainerAnalyze IoT data for making automated decisions and efficient predictionsBook Description Artificial Intelligence is growing quickly, which is driven by advancements in neural networks(NN) and deep learning (DL). With an increase in investments in smart cities, smart healthcare, and industrial Internet of Things (IoT), commercialization of IoT will soon be at peak in which massive amounts of data generated by IoT devices need to be processed at scale. Hands-On Deep Learning for IoT will provide deeper insights into IoT data, which will start by introducing how DL fits into the context of making IoT applications smarter. It then covers how to build deep architectures using TensorFlow, Keras, and Chainer for IoT. You’ll learn how to train convolutional neural networks(CNN) to develop applications for image-based road faults detection and smart garbage separation, followed by implementing voice-initiated smart light control and home access mechanisms powered by recurrent neural networks(RNN). You’ll master IoT applications for indoor localization, predictive maintenance, and locating equipment in a large hospital using autoencoders, DeepFi, and LSTM networks. Furthermore, you’ll learn IoT application development for healthcare with IoT security enhanced. By the end of this book, you will have sufficient knowledge need to use deep learning efficiently to power your IoT-based applications for smarter decision making. What you will learnGet acquainted with different neural network architectures and their suitability in IoTUnderstand how deep learning can improve the predictive power in your IoT solutionsCapture and process streaming data for predictive maintenanceSelect optimal frameworks for image recognition and indoor localizationAnalyze voice data for speech recognition in IoT applicationsDevelop deep learning-based IoT solutions for healthcareEnhance security in your IoT solutionsVisualize analyzed data to uncover insights and perform accurate predictionsWho this book is for If you’re an IoT developer, data scientist, or deep learning enthusiast who wants to apply deep learning techniques to build smart IoT applications, this book is for you. Familiarity with machine learning, a basic understanding of the IoT concepts, and some experience in Python programming will help you get the most out of this book.
Hands On Artificial Intelligence For Iot
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Author : Dr. Amita Kapoor
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-05-16
Hands On Artificial Intelligence For Iot written by Dr. Amita Kapoor and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-16 with Computers categories.
Master AI and IoT integration, from fundamentals to advanced techniques, and revolutionize your approach to building intelligent, data-driven solutions across industries Free with your book: DRM-free PDF version + access to Packt's next-gen Reader* Key Features Leverage the power of Python libraries such as TensorFlow and Keras to work with real-time IoT data Enhance your IoT solutions with advanced AI techniques, including deep learning, optimization, and generative adversarial networks Gain practical insights through industry-specific IoT case studies in manufacturing, smart cities, and automation Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionTransform IoT devices into intelligent systems with this comprehensive guide by Amita Kapoor, Chief AI Officer at Tipz AI. Drawing on 25 years of expertise in developing intelligent systems across industries, she demonstrates how to harness the combined power of artificial intelligence and IoT technology. A pioneer in making AI and neuroscience education accessible worldwide, Amita guides you through creating smart, efficient systems that leverage the latest advances in both fields. This new edition is updated with various optimization techniques in IoT used for enhancing efficiency and performance. It introduces you to cloud platforms such as Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) for analyzing data generated using IoT devices. You’ll learn about machine learning algorithms, deep learning techniques, and practical applications in real-world IoT scenarios and advance to creating AI models that work with diverse data types, including time series, images, and audio. You’ll also harness the power of widely used Python libraries, TensorFlow and Keras, to build a variety of smart AI models. *Email sign-up and proof of purchase requiredWhat you will learn Integrate AI and IoT for enhanced device intelligence Understand how to build scalable and efficient IoT systems Master both supervised and unsupervised machine learning techniques for processing IoT data Explore the full potential of deep learning in IoT applications Discover AI-driven strategies to optimize IoT system efficiency Implement real-world IoT projects that leverage AI capabilities Improve device performance and decision-making using AI algorithms Who this book is for This book is for IoT developers, engineers, and tech enthusiasts, particularly those with a background in Python, looking to integrate artificial intelligence and machine learning into IoT systems. Python developers eager to apply their knowledge in new, innovative ways will find it useful. It’s also an invaluable guide for anyone with a foundational understanding of IoT concepts ready to take their skills to the next level and shape the future of intelligent devices.
Hands On Artificial Intelligence For Iot
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Author : Amita Kapoor
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-01-31
Hands On Artificial Intelligence For Iot written by Amita Kapoor and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-31 with Computers categories.
Build smarter systems by combining artificial intelligence and the Internet of Things—two of the most talked about topics today Key FeaturesLeverage the power of Python libraries such as TensorFlow and Keras to work with real-time IoT dataProcess IoT data and predict outcomes in real time to build smart IoT modelsCover practical case studies on industrial IoT, smart cities, and home automationBook Description There are many applications that use data science and analytics to gain insights from terabytes of data. These apps, however, do not address the challenge of continually discovering patterns for IoT data. In Hands-On Artificial Intelligence for IoT, we cover various aspects of artificial intelligence (AI) and its implementation to make your IoT solutions smarter. This book starts by covering the process of gathering and preprocessing IoT data gathered from distributed sources. You will learn different AI techniques such as machine learning, deep learning, reinforcement learning, and natural language processing to build smart IoT systems. You will also leverage the power of AI to handle real-time data coming from wearable devices. As you progress through the book, techniques for building models that work with different kinds of data generated and consumed by IoT devices such as time series, images, and audio will be covered. Useful case studies on four major application areas of IoT solutions are a key focal point of this book. In the concluding chapters, you will leverage the power of widely used Python libraries, TensorFlow and Keras, to build different kinds of smart AI models. By the end of this book, you will be able to build smart AI-powered IoT apps with confidence. What you will learnApply different AI techniques including machine learning and deep learning using TensorFlow and KerasAccess and process data from various distributed sourcesPerform supervised and unsupervised machine learning for IoT dataImplement distributed processing of IoT data over Apache Spark using the MLLib and H2O.ai platformsForecast time-series data using deep learning methodsImplementing AI from case studies in Personal IoT, Industrial IoT, and Smart CitiesGain unique insights from data obtained from wearable devices and smart devicesWho this book is for If you are a data science professional or a machine learning developer looking to build smart systems for IoT, Hands-On Artificial Intelligence for IoT is for you. If you want to learn how popular artificial intelligence (AI) techniques can be used in the Internet of Things domain, this book will also be of benefit. A basic understanding of machine learning concepts will be required to get the best out of this book.
Iot Cloud And Data Science
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Author : S. Prasanna Devi
language : en
Publisher: Trans Tech Publications Ltd
Release Date : 2023-02-27
Iot Cloud And Data Science written by S. Prasanna Devi and has been published by Trans Tech Publications Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-27 with Computers categories.
Selected peer-reviewed full text papers from the International Research Conference on IoT, Cloud and Data Science (IRCICD'22) Selected peer-reviewed full text papers from the International Research Conference on IoT, Cloud and Data Science (IRCICD'22), May 06-07, 2022, Chennai, India
Mastering Ai For Iot
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Author : Watson T Rutherford
language : en
Publisher: Independently Published
Release Date : 2025-07-27
Mastering Ai For Iot written by Watson T Rutherford and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-27 with Computers categories.
Have you ever wondered how your smart home actually learns your habits? Or how self-regulating factories, intelligent farms, and predictive healthcare systems are becoming not just real-but essential? Now, pause and think: Do you know what happens when Artificial Intelligence meets the Internet of Things? What if you could do more than just imagine these technologies? What if you could build them-yourself? This isn't just another AI or IoT book. This is your roadmap into the cutting-edge fusion of two of the most transformative technologies of our time. Whether you're an engineer, student, developer, or an ambitious innovator-are you ready to stop reading about smart systems and start creating them? Let me ask you something: Do you truly understand how machine learning enhances sensor data in real-world environments? Can you confidently deploy a deep learning model on a low-power edge device? Have you ever built an AI system that can monitor, analyze, and respond autonomously to physical changes in the environment? If not-why not? MASTERING AI FOR IOT strips away the hype and delivers real-world answers. You'll get your hands dirty with: Hands-on, guided projects that take you from concept to deployment Practical use of Python, TensorFlow, PyTorch, and edge platforms like ESP32 and Raspberry Pi Training and deploying models for smart agriculture, industrial automation, predictive maintenance, home automation, and more Integration of data analytics, cloud services, and real-time feedback loops But more than projects, this book challenges you to think differently about intelligence in machines. To ask the hard questions: How do you make AI explainable in an IoT system? How do you build AI you can trust-that respects privacy, scales reliably, and stays resilient in the real world? Are your devices just connected-or truly intelligent? This book doesn't assume you already know everything. But it expects you to want more. It's not about sitting back and watching AI change the world. It's about standing up, coding, wiring, training, deploying-and leading the change yourself. If you're ready to move past theory... If you're ready to build real solutions that live at the intersection of hardware, data, and intelligence... Then ask yourself: Why wait? Why watch the AIoT revolution from the sidelines when you could be the one driving it?
Hands On Artificial Intelligence For Iot
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Author : Pandi selvi P
language : en
Publisher:
Release Date : 2023-07-02
Hands On Artificial Intelligence For Iot written by Pandi selvi P and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-02 with Computers categories.
The reader starts by learning the basics of AI and IoT devices and how to read IoT data from various sources and streams. Then we introduce various ways to implement AI with examples in TensorFlow, scikit learn, and Keras. The topics covered include machine learning, deep learning, genetic algorithms, reinforcement learning, and generative adversarial networks. We also show the reader how to implement AI using distributed technologies and on the cloud. Once the reader is familiar with AI techniques, then we introduce various techniques for different kinds of data generated and consumed by IoT devices, such as time series, images, audio, video, text, and speech. After explaining various AI techniques on various kinds of IoT data, finally, we share some case studies with the reader from the four major categories of IoT solutions: personal IoT, home IoT, industrial IoT, and smart city IoT.
Towards Design And Development Of Secure And Privacy Preserving Frameworks For Iot Enabled Networks
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Author : Prabhat Kumar
language : en
Publisher: GRIN Verlag
Release Date : 2022-04-11
Towards Design And Development Of Secure And Privacy Preserving Frameworks For Iot Enabled Networks written by Prabhat Kumar and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-11 with Computers categories.
Doctoral Thesis / Dissertation from the year 2022 in the subject Computer Sciences - Internet of Things, IOT, grade: First, , course: PhD, language: English, abstract: With the advancement of low-cost and low energy-consuming sensors, the Internet of Things (IoT) is building a network of Internet-enabled devices. The concept of IoT is employed in almost all fields such as healthcare, smart cities, smart grids, energy distribution, agriculture, and even transportation. In a typical IoT-enabled network, smart sensors are geographically distributed to collect and process data within a smart infrastructure using an open channel, the Internet. However, the use of the Internet brings inherent vulnerabilities related to security (e.g., IoT devices can be compromised using advanced hacking techniques) and privacy (e.g., adversary performing inference and data poisoning attacks). Intrusion Detection System (IDS) and Cyber Threat Intelligence (CTI) are the two most extensively used techniques in IoT-enabled networks to safeguard the integrity and availability of sensitive smart systems. However, the presence of a large volume of data i.e., dimensionality curse and cloud-based centralized deployment mechanism hurts the IDS performance in terms of intrusion detection tasks and increased latency for data processing. On the other hand, modelling CTI is challenging due to the limited labels of cyber threat sources, and analysing these sources to extract relevant threat information manually is a time-consuming and error-prone procedure that necessitates a large investment of resources. This thesis provides substantial contributions to research on the building of a distributed IDS, a hybrid feature selection approach, an automated CTI Modelling and Identification scheme, and a deep privacy-encoding module for enhancing security and privacy of IoT-enabled networks.
Introduction To Iot With Machine Learning And Image Processing Using Raspberry Pi
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Author : Shrirang Ambaji Kulkarni
language : en
Publisher: CRC Press
Release Date : 2020-08-16
Introduction To Iot With Machine Learning And Image Processing Using Raspberry Pi written by Shrirang Ambaji Kulkarni and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-16 with Computers categories.
Machine Learning a branch of Artificial Intelligence is influencing the society, industry and academia at large. The adaptability of Python programming language to Machine Learning has increased its popularity further. Another technology on the horizon is Internet of Things (IoT). The present book tries to address IoT, Python and Machine Learning along with a small introduction to Image Processing. If you are a novice programmer or have just started exploring IoT or Machine Learning with Python, then this book is for you. Features: Raspberry Pi as IoT is described along with the procedure for installation and configuration. A simple introduction to Python Programming Language along with its popular library packages like NumPy, Pandas, SciPy and Matplotlib are dealt in an exhaustive manner along with relevant examples. Machine Learning along with Python Scikit-Learn library is explained to audience with an emphasis on supervised learning and classification. Image processing on IoT is introduced to the audience who love to apply Machine Learning algorithms to Images The book follows hands-on approach and provide a huge collection of Python programs.
Big Data Machine And Deep Learning
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Author : Rajesh Kumar Mishra
language : en
Publisher: GRIN Verlag
Release Date : 2025-04-11
Big Data Machine And Deep Learning written by Rajesh Kumar Mishra and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-11 with Computers categories.
Scientific Study from the year 2025 in the subject Computer Sciences - Artificial Intelligence, , language: English, abstract: In recent times, developments in artificial intelligence (AI) and machine learning (ML) have propelled improvements in systems and control engineering. We exist in a time of extensive data, where AI and ML can evaluate large volumes of information instantly to enhance efficiency and precision in decisions based on data. In control engineering, for instance, AI algorithms can anticipate system behaviors and autonomously modify controls to enhance performance for better efficiency and dependability. ML models, with their ability to learn, consistently enhance their predictions and choices as they handle additional data, enabling systems to dynamically adjust to evolving environments and operational circumstances. This swift adjustment enhances the functions of current systems and enables the creation of groundbreaking solutions, like self-driving cars and intelligent power grids, which were previously deemed unfeasible. The rapid expansion of digital data has propelled significant advancements in Big Data analytics, Machine Learning, and Deep Learning. These technologies are increasingly integrated across industries, facilitating automated decision-making, predictive modeling, and advanced pattern recognition. This chapter provides an in-depth review of recent progress in these domains, emphasizing breakthroughs in scalable data processing frameworks, cloud and edge computing, AutoML, explainable AI, transformer architectures, self-supervised learning, and generative models. Furthermore, it explores key applications in healthcare, finance, and autonomous systems, along with challenges such as data privacy, ethical concerns, and computational constraints. The discussion concludes with future directions, highlighting the potential of federated learning, neuromorphic computing, and novel algorithmic improvements to further expand AI's impact across disciplines.
Iot Machine Learning Applications In Telecom Energy And Agriculture
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Author : Puneet Mathur
language : en
Publisher: Apress
Release Date : 2020-05-09
Iot Machine Learning Applications In Telecom Energy And Agriculture written by Puneet Mathur and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-09 with Mathematics categories.
Apply machine learning using the Internet of Things (IoT) in the agriculture, telecom, and energy domains with case studies. This book begins by covering how to set up the software and hardware components including the various sensors to implement the case studies in Python. The case study section starts with an examination of call drop with IoT in the telecoms industry, followed by a case study on energy audit and predictive maintenance for an industrial machine, and finally covers techniques to predict cash crop failure in agribusiness. The last section covers pitfalls to avoid while implementing machine learning and IoT in these domains. After reading this book, you will know how IoT and machine learning are used in the example domains and have practical case studies to use and extend. You will be able to create enterprise-scale applications using Raspberry Pi 3 B+ and Arduino Mega 2560 with Python. What You Will Learn Implement machine learning with IoT and solve problems in the telecom, agriculture, and energy sectors with Python Set up and use industrial-grade IoT products, such as Modbus RS485 protocol devices, in practical scenarios Develop solutions for commercial-grade IoT or IIoT projects Implement case studies in machine learning with IoT from scratch Who This Book Is For Raspberry Pi and Arduino enthusiasts and data science and machine learning professionals.