Artificial Intelligence Trends In Intelligent Systems
DOWNLOAD
Download Artificial Intelligence Trends In Intelligent Systems PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Artificial Intelligence Trends In Intelligent Systems book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Artificial Intelligence For Intelligent Systems
DOWNLOAD
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 Trends In Intelligent Systems
DOWNLOAD
Author : Radek Silhavy
language : en
Publisher: Springer
Release Date : 2017-04-06
Artificial Intelligence Trends In Intelligent Systems written by Radek Silhavy and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-06 with Technology & Engineering categories.
This book presents new methods and approaches to real-world problems as well as exploratory research that describes novel artificial intelligence applications, including deep learning, neural networks and hybrid algorithms. This book constitutes the refereed proceedings of the Artificial Intelligence Trends in Intelligent Systems Section of the 6th Computer Science On-line Conference 2017 (CSOC 2017), held in April 2017.
Cybernetics Approaches In Intelligent Systems
DOWNLOAD
Author : Radek Silhavy
language : en
Publisher: Springer
Release Date : 2017-09-04
Cybernetics Approaches In Intelligent Systems written by Radek Silhavy and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-04 with Technology & Engineering categories.
This book discusses new approaches and methods in the cybernetics, algorithms and software engineering in the scope of the intelligent systems. It brings new approaches and methods to real-world problems and exploratory research that describes novel approaches in the cybernetics, algorithms and software engineering in the scope of the intelligent systems. This book constitutes the refereed proceedings of the Computational Methods in Systems and Software 2017, a conference that provided an international forum for the discussion of the latest high-quality research results in all areas related to computational methods, statistics, cybernetics and software engineering.
Text Book Of Artificial Intelligence
DOWNLOAD
Author : Dr. Rakesh Singh, Dr. Shuchi Dave, Prof. Sushil K. Kashaw, Prof. (Dr.) Sandeep Gangrade, Lalbihari Barik
language : en
Publisher: Shashwat Publication
Release Date : 2025-04-25
Text Book Of Artificial Intelligence written by Dr. Rakesh Singh, Dr. Shuchi Dave, Prof. Sushil K. Kashaw, Prof. (Dr.) Sandeep Gangrade, Lalbihari Barik and has been published by Shashwat Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-25 with Fiction categories.
Textbook of Artificial Intelligence is a comprehensive guide for students, educators, and professionals seeking foundational and advanced knowledge in AI. It begins with a clear definition and history of Artificial Intelligence, helping readers understand its roots and evolution. The book explores real-world applications of AI across various industries including healthcare, finance, education, and autonomous systems. Core AI branches like Machine Learning, Deep Learning, NLP, Robotics, and Computer Vision are introduced with practical insights. In-depth coverage of Intelligent Agents explains their structure, types, and operating environments. The Problem Solving section walks readers through classic algorithms like BFS, DFS, A*, and adversarial search techniques. Knowledge Representation and Reasoning introduces propositional logic, predicate logic, semantic nets, and uncertainty models like Bayesian networks. Machine Learning fundamentals cover supervised, unsupervised, and reinforcement learning, alongside key algorithms and neural networks. Advanced topics like CNNs, RNNs, Transformers, GANs, and NLP tasks are well-structured for deeper understanding. Dedicated chapters on AI in real-world applications showcase use cases in robotics, vision, and recommender systems. Hands-on tools like TensorFlow, PyTorch, Keras, and data handling with Pandas and NumPy are introduced for practical learning. The book encourages ethical thinking with discussions on AI fairness, privacy, transparency, and regulation. A special focus on the future of AI covers trends like generative models, autonomous agents, and human-AI collaboration. Well-organized content helps learners connect theory to practical implementation and innovation. Step-by-step examples and algorithm breakdowns make complex topics easy to understand. Each chapter includes conceptual summaries, illustrations, and review questions for better retention. Perfect for beginners and intermediate learners, as well as educators designing AI curricula. Prepares students for research and industry careers with real-world insights and project ideas. Bridges the gap between traditional AI principles and modern AI technologies. A valuable reference for anyone passionate about building intelligent systems and exploring the world of AI.
Fifth Congress On Intelligent Systems
DOWNLOAD
Author : Sandeep Kumar
language : en
Publisher: Springer Nature
Release Date : 2025-05-22
Fifth Congress On Intelligent Systems written by Sandeep Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-22 with Computers categories.
This book is a collection of selected papers presented at the Fifth Congress on Intelligent Systems (CIS 2024), organized by CHRIST (Deemed to be University), Bangalore, India, under the technical sponsorship of the Soft Computing Research Society, India, during September 4–5, 2024. The book covers high-quality research articles in the fields of soft computing, machine vision, robotics, computational intelligence, artificial intelligence, signal and image processing, data science techniques, and their real-world applications which are some of the recent advancements in the real-world technologies.
Artificial Intelligence Evolutionary Computing And Metaheuristics
DOWNLOAD
Author : Xin-She Yang
language : en
Publisher: Springer
Release Date : 2012-07-27
Artificial Intelligence Evolutionary Computing And Metaheuristics written by Xin-She Yang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-07-27 with Technology & Engineering categories.
Alan Turing pioneered many research areas such as artificial intelligence, computability, heuristics and pattern formation. Nowadays at the information age, it is hard to imagine how the world would be without computers and the Internet. Without Turing's work, especially the core concept of Turing Machine at the heart of every computer, mobile phone and microchip today, so many things on which we are so dependent would be impossible. 2012 is the Alan Turing year -- a centenary celebration of the life and work of Alan Turing. To celebrate Turing's legacy and follow the footsteps of this brilliant mind, we take this golden opportunity to review the latest developments in areas of artificial intelligence, evolutionary computation and metaheuristics, and all these areas can be traced back to Turing's pioneer work. Topics include Turing test, Turing machine, artificial intelligence, cryptography, software testing, image processing, neural networks, nature-inspired algorithms such as bat algorithm and cuckoo search, and multiobjective optimization and many applications. These reviews and chapters not only provide a timely snapshot of the state-of-art developments, but also provide inspiration for young researchers to carry out potentially ground-breaking research in the active, diverse research areas in artificial intelligence, cryptography, machine learning, evolutionary computation, and nature-inspired metaheuristics. This edited book can serve as a timely reference for graduates, researchers and engineers in artificial intelligence, computer sciences, computational intelligence, soft computing, optimization, and applied sciences.
Recent Trends And Advances In Artificial Intelligence And Internet Of Things
DOWNLOAD
Author : Valentina E. Balas
language : en
Publisher: Springer Nature
Release Date : 2019-11-19
Recent Trends And Advances In Artificial Intelligence And Internet Of Things written by Valentina E. Balas and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-19 with Technology & Engineering categories.
This book covers all the emerging trends in artificial intelligence (AI) and the Internet of Things (IoT). The Internet of Things is a term that has been introduced in recent years to define devices that are able to connect and transfer data to other devices via the Internet. While IoT and sensors have the ability to harness large volumes of data, AI can learn patterns in the data and quickly extract insights in order to automate tasks for a variety of business benefits. Machine learning, an AI technology, brings the ability to automatically identify patterns and detect anomalies in the data that smart sensors and devices generate, and it can have significant advantages over traditional business intelligence tools for analyzing IoT data, including being able to make operational predictions up to 20 times earlier and with greater accuracy than threshold-based monitoring systems. Further, other AI technologies, such as speech recognition and computer vision can help extract insights from data that used to require human review. The powerful combination of AI and IoT technology is helping to avoid unplanned downtime, increase operating efficiency, enable new products and services, and enhance risk management.
Future And Emerging Trends In Language Technology Machine Learning And Big Data
DOWNLOAD
Author : José F Quesada
language : en
Publisher: Springer
Release Date : 2017-10-28
Future And Emerging Trends In Language Technology Machine Learning And Big Data written by José F Quesada and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-28 with Computers categories.
This book constitutes revised selected papers from the Second International Workshop on Future and Emerging Trends in Language Technology, FETLT 2016, which took place in Seville, Spain, in November 2016. The 10 full papers and 5 position papers presented in this volume were carefully reviewed and selected from 18 submissions. In 2016 the conference focused on Machine Learning and Big Data.
Intelligent System And Data Analysis
DOWNLOAD
Author : Priyadarsi Nanda
language : en
Publisher: Springer Nature
Release Date : 2025-01-27
Intelligent System And Data Analysis written by Priyadarsi Nanda and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-27 with Computers categories.
This book features original papers from the Doctoral Symposium in 4th International Conference on Smart IoT Systems: Innovations and Computing (SSIC 2023), organized by Manipal University, Jaipur, India, during 26–27 October 2023. It discusses scientific works related to data engineering in the context of computational collective intelligence consisted of interaction between smart devices for smart environments and interactions. The book offers high-quality content and the broad range of topics useful for researchers pursuing advanced studies.
Artificial Intelligence For Sustainable Development
DOWNLOAD
Author : Anandakumar Haldorai
language : en
Publisher: Springer Nature
Release Date : 2024-04-12
Artificial Intelligence For Sustainable Development written by Anandakumar Haldorai and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-12 with Technology & Engineering categories.
This book delves into the synergy between AI and sustainability. This comprehensive guide illuminates the latest trends and cutting-edge techniques, offering invaluable insights for researchers, practitioners, and policymakers interested in the cross-section of AI and sustainability. The authors illustrate how AI-driven innovations are revolutionizing environmental conservation, urban planning, healthcare, and more. The book also considers the ethical considerations and governance frameworks crucial to harnessing AI's potential for global benefit. Whether a seasoned expert or a curious newcomer, this book empowers readers to navigate the dynamic landscape of AI and sustainability, paving the way for a more eco-conscious and equitable world.