Artificial Intelligence And Lot

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Artificial Intelligence And Lot

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Author : Dr. Anshad A. S.
language : en
Publisher: RK Publication
Release Date : 2025-02-17

Artificial Intelligence And Lot written by Dr. Anshad A. S. and has been published by RK Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-17 with Computers categories.

Artificial Intelligence and IoT the convergence of AI and the Internet of Things, detailing how intelligent systems enhance automation, decision-making, and connectivity. This examines AI-driven IoT applications, including smart cities, healthcare, industrial automation, and autonomous vehicles. It delves into key technologies such as machine learning, edge computing, and cloud integration, highlighting their role in optimizing efficiency and security. With insights into real-world case studies and future trends, this serves as a comprehensive guide for professionals, researchers, and students seeking to understand the transformative impact of AI and IoT on modern industries.

Artificial Intelligence And Internet Of Things Based Augmented Trends For Data Driven Systems

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Author : Anshu Singla
language : en
Publisher: CRC Press
Release Date : 2024-07-31

Artificial Intelligence And Internet Of Things Based Augmented Trends For Data Driven Systems written by Anshu Singla and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-31 with Computers categories.

This book comprehensively discusses the role of cloud computing in artificial intelligence‐based data‐driven systems and hybrid cloud computing for large data‐driven applications. It further explores new approaches, paradigms, and frameworks to meet societal challenges by providing solutions for critical insights into data. The text provides Internet of Things‐based frameworks and advanced computing techniques to deal with online/virtual systems. This book: • Covers the aspects of security, authentication, and prediction for data‐driven systems in heterogeneous environments. • Provides data‐driven frameworks in combination with the Internet of Things, artificial intelligence, and computing to provide critical insights and decision‐making for real‐time problems. • Showcases deep learning‐based computer vision algorithms for enhanced pattern detection in different domains based on data‐centric approaches. • Examines the role of the Internet of Things and machine learning algorithms for data‐driven systems. • Highlights the applications of data‐driven systems and cloud computing in enhancing network performance. This book is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, and computer science engineering.

Artificial Intelligence By Example

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Author : Denis Rothman
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-02-28

Artificial Intelligence By Example written by Denis Rothman 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 2020-02-28 with Computers categories.

Understand the fundamentals and develop your own AI solutions in this updated edition packed with many new examples Key FeaturesAI-based examples to guide you in designing and implementing machine intelligenceBuild machine intelligence from scratch using artificial intelligence examplesDevelop machine intelligence from scratch using real artificial intelligenceBook Description AI has the potential to replicate humans in every field. Artificial Intelligence By Example, Second Edition serves as a starting point for you to understand how AI is built, with the help of intriguing and exciting examples. This book will make you an adaptive thinker and help you apply concepts to real-world scenarios. Using some of the most interesting AI examples, right from computer programs such as a simple chess engine to cognitive chatbots, you will learn how to tackle the machine you are competing with. You will study some of the most advanced machine learning models, understand how to apply AI to blockchain and Internet of Things (IoT), and develop emotional quotient in chatbots using neural networks such as recurrent neural networks (RNNs) and convolutional neural networks (CNNs). This edition also has new examples for hybrid neural networks, combining reinforcement learning (RL) and deep learning (DL), chained algorithms, combining unsupervised learning with decision trees, random forests, combining DL and genetic algorithms, conversational user interfaces (CUI) for chatbots, neuromorphic computing, and quantum computing. By the end of this book, you will understand the fundamentals of AI and have worked through a number of examples that will help you develop your AI solutions. What you will learnApply k-nearest neighbors (KNN) to language translations and explore the opportunities in Google TranslateUnderstand chained algorithms combining unsupervised learning with decision treesSolve the XOR problem with feedforward neural networks (FNN) and build its architecture to represent a data flow graphLearn about meta learning models with hybrid neural networksCreate a chatbot and optimize its emotional intelligence deficiencies with tools such as Small Talk and data loggingBuilding conversational user interfaces (CUI) for chatbotsWriting genetic algorithms that optimize deep learning neural networksBuild quantum computing circuitsWho this book is for Developers and those interested in AI, who want to understand the fundamentals of Artificial Intelligence and implement them practically. Prior experience with Python programming and statistical knowledge is essential to make the most out of this book.

Artificial Intelligence And Machine Learning For Smart Community

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Author : T V Ramana
language : en
Publisher: CRC Press
Release Date : 2024-01-26

Artificial Intelligence And Machine Learning For Smart Community written by T V Ramana and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-26 with Computers categories.

Intelligent systems are technologically advanced machines that perceive and respond to the world around them. Artificial Intelligence and Machine Learning for Smart Community: Concepts and Applications presents the evolution, challenges, and limitations of the application of machine learning and artificial intelligence to intelligent systems and smart communities. Covers the core and fundamental aspects of artificial intelligence, machine learning, and computational algorithms in smart intelligent systems Discusses the integration of artificial intelligence with machine learning using mathematical modeling Elaborates concepts like supervised and unsupervised learning, and machine learning algorithms, such as linear regression, logistic regression, random forest, and performance evaluation matrices Introduces modern algorithms such as convolutional neural networks and support vector machines Presents case studies on smart healthcare, smart traffic management, smart buildings, autonomous vehicles, smart education, modern community, and smart machines Artificial Intelligence and Machine Learning for Smart Community: Concepts and Applications is primarily written for graduate students and academic researchers working in the fields of computer science and engineering, electrical engineering, and information technology. Seasonal Blurb: This reference text presents the most recent and advanced research on the application of artificial intelligence and machine learning on intelligent systems. It will discuss important topics such as business intelligence, reinforcement learning, supervised learning, and unsupervised learning in a comprehensive manner.

Artificial Intelligence For Intelligent Systems

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Author : Inam Ullah Khan
language : en
Publisher: CRC Press
Release Date : 2024-07-31

Artificial Intelligence For Intelligent Systems written by Inam Ullah Khan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-31 with Computers categories.

The aim of this book is to highlight the most promising lines of research, using new enabling technologies and methods based on AI/ML techniques to solve issues and challenges related to intelligent and computing systems. Intelligent computing easily collects data using smart technological applications like IoT-based wireless networks, digital healthcare, transportation, blockchain, 5.0 industry and deep learning for better decision making. AI enabled networks will be integrated in smart cities' concept for interconnectivity. Wireless networks will play an important role. The digital era of computational intelligence will change the dynamics and lifestyle of human beings. Future networks will be introduced with the help of AI technology to implement cognition in real-world applications. Cyber threats are dangerous to encode information from network. Therefore, AI-Intrusion detection systems need to be designed for identification of unwanted data traffic. This book: Provides a better understanding of artificial intelligence-based applications for future smart cities Presents a detailed understanding of artificial intelligence tools for intelligent technologies Showcases intelligent computing technologies in obtaining optimal solutions using artificial intelligence Discusses energy-efficient routing protocols using artificial intelligence for Flying ad-hoc networks (FANETs) Covers machine learning-based Intrusion detection system (IDS) for smart grid It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering.

Artificial Intelligence

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Author : Charu C. Aggarwal
language : en
Publisher: Springer Nature
Release Date : 2021-07-16

Artificial Intelligence written by Charu C. Aggarwal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-16 with Computers categories.

This textbook covers the broader field of artificial intelligence. The chapters for this textbook span within three categories: Deductive reasoning methods: These methods start with pre-defined hypotheses and reason with them in order to arrive at logically sound conclusions. The underlying methods include search and logic-based methods. These methods are discussed in Chapters 1through 5. Inductive Learning Methods: These methods start with examples and use statistical methods in order to arrive at hypotheses. Examples include regression modeling, support vector machines, neural networks, reinforcement learning, unsupervised learning, and probabilistic graphical models. These methods are discussed in Chapters~6 through 11. Integrating Reasoning and Learning: Chapters~11 and 12 discuss techniques for integrating reasoning and learning. Examples include the use of knowledge graphs and neuro-symbolic artificial intelligence. The primary audience for this textbook are professors and advanced-level students in computer science. It is also possible to use this textbook for the mathematics requirements for an undergraduate data science course. Professionals working in this related field many also find this textbook useful as a reference.

Artificial Intelligence With Python

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Author : Prof. MUTTAPPA M MANTUR
language : en
Publisher: Deccan International Academic Publisher
Release Date : 2023-05-30

Artificial Intelligence With Python written by Prof. MUTTAPPA M MANTUR and has been published by Deccan International Academic Publisher this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-30 with Computers categories.

The "Artificial Intelligence with Python" book begins by teaching the basic ideas and ideas of AI, giving beginners a strong foundation. It strikes a mix between theory and practical application, covering a variety of AI-related topics such as machine learning, deep learning, natural language processing, and computer vision, making it appropriate for both beginning and intermediate practitioners. It provides users with the resources and information needed to design, create, and implement AI-powered solutions using Python, one of the industry's most well-liked programming languages. 

Advanced Neural Artificial Intelligence Theories And Applications

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Author : Anna Esposito
language : en
Publisher: Springer Nature
Release Date : 2025-06-24

Advanced Neural Artificial Intelligence Theories And Applications written by Anna Esposito and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-24 with Computers categories.

This book illustrates recent advances in Neural Artificial Intelligent Theories and Applications discussed by selected papers presented at 30th edition of the International Workshops on Neural Network (WIRN 2023). The book discusses novel technologies for unsupervised multimodal complex autonomous systems using new generation of AI algorithms. The book also reports on advanced acoustical, perceptual, and psychological analysis of verbal and non-verbal communication of signals originating in spontaneous face-to-face interaction, automatic procedures capable of recognizing human emotional states, and applications improving the performance of human–machine interaction for the deployment of socially and emotionally believable assistive technologies.

Artificial Intelligence For Blockchain And Cybersecurity Powered Iot Applications

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Author : Mariya Ouaissa
language : en
Publisher: CRC Press
Release Date : 2025-01-16

Artificial Intelligence For Blockchain And Cybersecurity Powered Iot Applications written by Mariya Ouaissa and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-16 with Computers categories.

The objective of this book is to showcase recent solutions and discuss the opportunities that AI, blockchain, and even their combinations can present to solve the issue of Internet of Things (IoT) security. It delves into cuttingedge technologies and methodologies, illustrating how these innovations can fortify IoT ecosystems against security threats. The discussion includes a comprehensive analysis of AI techniques such as machine learning and deep learning, which can detect and respond to security breaches in real time. The role of blockchain in ensuring data integrity, transparency, and tamper- proof transactions is also thoroughly examined. Furthermore, this book will present solutions that will help analyze complex patterns in user data and ultimately improve productivity.

Artificial Intelligence And Machine Learning For Open World Novelty

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Author :
language : en
Publisher: Elsevier
Release Date : 2024-02-20

Artificial Intelligence And Machine Learning For Open World Novelty written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-20 with Computers categories.

Advances in Computers, Volume presents innovations in computer hardware, software, theory, design and applications, with this updated volume including new chapters on - Contains novel subject matter that is relevant to computer science - Includes the expertise of contributing authors - Presents an easy to comprehend writing style