Artificial Intelligence Paradigms For Application Practice
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Artificial Intelligence Paradigms For Application Practice
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Author : Shiguo Lian
language : en
Publisher: CRC Press
Release Date : 2025-08-15
Artificial Intelligence Paradigms For Application Practice written by Shiguo Lian and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-15 with Computers categories.
This book proposes practical application paradigms for deep neural networks, aiming to establish best practices for real-world implementation. Over the past decade, deep neural networks have made significant progress. However, effectively applying these networks to solve various practical problems remains challenging, which has limited the widespread application of artificial intelligence. Artificial Intelligence Paradigms for Application Practice is the first to comprehensively address implementation paradigms for deep neural networks in practice. The authors begin by reviewing the development of artificial neural networks and provide a systematic introduction to the tasks, principles, and architectures of deep neural networks. They identify the practical limitations of deep neural networks and propose guidelines and strategies for successful implementation. The book then examines 14 representative applications in urban planning, industrial production, and transportation. For each case, the authors present a landing paradigm that effectively addresses practical challenges supported by illustrations, background information, related work, methods, experiments, and conclusions. The experimental results validate the effectiveness of the proposed implementation approaches. The book will benefit researchers, engineers, undergraduate, and graduate students interested in artificial intelligence, deep neural networks, large models, stable diffusion models, video surveillance, smart cities, intelligent manufacturing, intelligent transportation, and other related areas.
Trends In Artificial Intelligence Theory And Applications Artificial Intelligence Practices
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Author : Hamido Fujita
language : en
Publisher: Springer Nature
Release Date : 2020-09-04
Trends In Artificial Intelligence Theory And Applications Artificial Intelligence Practices written by Hamido Fujita and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-04 with Computers categories.
This book constitutes the thoroughly refereed proceedings of the 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020, held in Kitakyushu, Japan, in September 2020. The 62 full papers and 17 short papers presented were carefully reviewed and selected from 119 submissions. The IEA/AIE 2020 conference will continue the tradition of emphasizing on applications of applied intelligent systems to solve real-life problems in all areas. These areas include are language processing; robotics and drones; knowledge based systems; innovative applications of intelligent systems; industrial applications; networking applications; social network analysis; financial applications and blockchain; medical and health-related applications; anomaly detection and automated diagnosis; decision-support and agent-based systems; multimedia applications; machine learning; data management and data clustering; pattern mining; system control, classification, and fault diagnosis.
Smart Computing Paradigms Artificial Intelligence And Network Applications
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Author : Milan Simic
language : en
Publisher: Springer Nature
Release Date : 2024-11-21
Smart Computing Paradigms Artificial Intelligence And Network Applications written by Milan Simic and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-21 with Computers categories.
This book presents best-selected papers presented at the 6th International Conference on Smart Computing and Informatics (SCI 2024), held at the Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology & Sciences (ANITS), Visakhapatnam, India, during 19–20 April 2024. It presents advanced and multidisciplinary research towards the design of smart computing and informatics. The theme is on a broader front and focuses on various innovation paradigms in system knowledge, intelligence and sustainability that may be applied to provide realistic solutions to varied problems in society, environment and industries. The scope is also extended towards the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in various disciplines of science, technology and healthcare. The work is published in three volumes.
Artificial Intelligence
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Author :
language : en
Publisher: BoD – Books on Demand
Release Date : 2021-09-01
Artificial Intelligence written by and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-01 with Computers categories.
Artificial Intelligence (AI) is widely known as a knowledge field that aims to make computers, robots, or products that mimic the way humans think. In the current scientific community, AI is an intensively studied area composed of multiple branches. Historically, machine learning and optimization are two of the most studied fronts thanks to the development of novel and challenging research topics such as transfer optimization, swarm robotics, and drift detection and adaptation to evolving conditions in real-time. This book collects radically new theoretical insights, reporting recent developments and evincing innovative applications regarding AI methods in all fields of knowledge. It also presents works focused on new paradigms and novel branches of AI science.
Management Organisations And Artificial Intelligence
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Author : Piotr Buła
language : en
Publisher: Routledge Studies in Innovation, Organizations and Technology
Release Date : 2023-05
Management Organisations And Artificial Intelligence written by Piotr Buła and has been published by Routledge Studies in Innovation, Organizations and Technology this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05 with Artificial intelligence categories.
This book combines academic research with practical guidelines in methods and techniques to supplement existing knowledge relating to organizational management in the era of digital acceleration. It offers a simple layout with concise but rich content presented in an engaging, accessible style and the authors' holistic approach is unique in the field. From a universalist perspective, the book examines and analyzes the development of, among others, Industry 4.0, artificial intelligence (AI), AI 2.0, AI systems and platforms, algorithmics, new paradigms of organization management, business ecosystems, data processing models in AI-based organizations and AI strategies in the global perspective. An additional strength of the book is its relevance and contemporary nature, featuring information, data, forecasts or scenarios reaching up to 2030. How does one build, step by step, an organization that will be based on artificial intelligence technology and gain measurable benefits from it, for instance, as a result of its involvement in the creation of the so-called mesh ecosystem? The answer to this and many other pertinent questions are provided in this book. This timely and important book will appeal to scholars and students across the fields of organizational management and innovation and technology management, as well as managers, educators, scientists, entrepreneurs, innovators and more.
Generative Artificial Intelligence And Ethics Standards Guidelines And Best Practices
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Author : Gaur, Loveleen
language : en
Publisher: IGI Global
Release Date : 2024-10-10
Generative Artificial Intelligence And Ethics Standards Guidelines And Best Practices written by Gaur, Loveleen and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-10 with Computers categories.
The rapid advancement of generative artificial intelligence (AI) has brought about significant ethical challenges. As machines become more adept at creating human-like content, concerns about misuse, bias, privacy, and accountability have emerged. Without clear guidelines and regulations, there is a risk of unethical use, such as creating deepfake videos or disseminating misinformation, which could have severe societal consequences. Additionally, questions about intellectual property rights and the ownership of AI-generated creations still need to be solved, further complicating the ethical landscape. The book, Generative Artificial Intelligence and Ethics: Standards, Guidelines, and Best Practices, comprehensively solves these ethical challenges. By providing insights into the historical development and key milestones of Generative AI, the book lays a foundation for understanding its complex ethical implications. It examines existing ethical frameworks and proposes new ones tailored to AI's unique characteristics, helping readers apply traditional ethics to AI development and deployment.
Industry 4 0 Transformation Towards Industry 5 0 Paradigm Challenges Opportunities And Practices
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Author :
language : en
Publisher: BoD – Books on Demand
Release Date : 2024-07-03
Industry 4 0 Transformation Towards Industry 5 0 Paradigm Challenges Opportunities And Practices written by and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-03 with Technology & Engineering categories.
Industry 4.0 Transformation Towards Industry 5.0 Paradigm - Challenges, Opportunities and Practices critically explores the paradigm change from Industry 4.0's integration of digital technology to Industry 5.0's focus on human-robot collaboration. This book highlights Industry 5.0, the aim of which is to merge human intelligence with robotic capabilities to enhance efficiency and sustainability. This shift entails integrating Industry 5.0 technologies like collaborative robots and Human Digital Twins into production processes for safer and more efficient collaboration. Industry 4.0's influence on the tourism sector highlights the need for human-centric approaches and updated education to transition to the digital tourism era. Similarly, the construction sector, under Construction 4.0, faces organizational challenges in adopting technology. The Technology-Organization-Environment (TOE) framework identifies decision-making factors to facilitate this transition. Transportation 5.0 represents a transformative shift towards Cyber-Physical-Social Transportation Systems, prioritizing ethical and sustainable solutions. It harnesses advanced technologies to improve transportation efficiency while considering social impacts. Nano and Society 5.0 explore nanotechnology's role in advancing societal goals, from personalized health care to sustainable energy. Digital entrepreneurship, propelled by Industry 4.0, faces challenges and opportunities amidst technological evolution and the pandemic's effects. In education, Online Distance e-Learning (OdeL) practices leverage digitalization for interactive learning, emphasizing critical thinking and industry-relevant skills. Overall, Industry 5.0 represents a holistic transformation driven by human intelligence, technology, and sustainability. This book serves as a guide for navigating this transition, providing insights for industry professionals, policymakers, and researchers. It explores the integration of automation with human-centric methods, fostering efficiency, creativity, and sustainability.
Green Machine Learning Protocols For Future Communication Networks
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Author : Saim Ghafoor
language : en
Publisher: CRC Press
Release Date : 2023-10-25
Green Machine Learning Protocols For Future Communication Networks written by Saim Ghafoor and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-25 with Computers categories.
Machine learning has shown tremendous benefits in solving complex network problems and providing situation and parameter prediction. However, heavy resources are required to process and analyze the data, which can be done either offline or using edge computing but also requires heavy transmission resources to provide a timely response. The need here is to provide lightweight machine learning protocols that can process and analyze the data at run time and provide a timely and efficient response. These algorithms have grown in terms of computation and memory requirements due to the availability of large data sets. These models/algorithms also require high levels of resources such as computing, memory, communication, and storage. The focus so far was on producing highly accurate models for these communication networks without considering the energy consumption of these machine learning algorithms. For future scalable and sustainable network applications, efforts are required toward designing new machine learning protocols and modifying the existing ones, which consume less energy, i.e., green machine learning protocols. In other words, novel and lightweight green machine learning algorithms/protocols are required to reduce energy consumption which can also reduce the carbon footprint. To realize the green machine learning protocols, this book presents different aspects of green machine learning for future communication networks. This book highlights mainly the green machine learning protocols for cellular communication, federated learning-based models, and protocols for Beyond Fifth Generation networks, approaches for cloud-based communications, and Internet-of-Things. This book also highlights the design considerations and challenges for green machine learning protocols for different future applications.
Paradigm Shifts In Management Practices In The Era Of Industry 4 0
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Author : Sruthi.S Subrata Das Dr.Mourlin K DR. SANJAY KUMAR BARIK Dr.Pragya Singh
language : en
Publisher: Archers & Elevators Publishing House
Release Date :
Paradigm Shifts In Management Practices In The Era Of Industry 4 0 written by Sruthi.S Subrata Das Dr.Mourlin K DR. SANJAY KUMAR BARIK Dr.Pragya Singh and has been published by Archers & Elevators Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on with Antiques & Collectibles categories.
Principles And Applications Of Adaptive Artificial Intelligence
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Author : Lv, Zhihan
language : en
Publisher: IGI Global
Release Date : 2024-01-24
Principles And Applications Of Adaptive Artificial Intelligence written by Lv, Zhihan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-24 with Computers categories.
The rapid adoption of deep learning models has resulted in many business services becoming model services, yet most AI systems lack the necessary automation and industrialization capabilities. This leads to heavy reliance on manual operation and maintenance, which not only consumes power but also causes resource wastage and stability issues during system mutations. The inadequate self-adaptation of AI systems poses significant challenges in terms of cost-effectiveness and operational stability. Principles and Applications of Adaptive Artificial Intelligence, edited by Zhihan Lv from Uppsala University, Sweden, offers a comprehensive solution to the self-adaptation problem in AI systems. It explores the latest concepts, technologies, and applications of Adaptive AI, equipping academic scholars and professionals with the necessary knowledge to overcome the challenges faced by traditional business logic transformed into model services. With its problem-solving approach, real-world case studies, and thorough analysis, the Handbook provides practitioners with practical ideas and solutions, while also serving as a valuable teaching material and reference guide for students and educators in AI-related disciplines. By emphasizing self-adaptation, continuous model iteration, and dynamic learning based on real-time feedback, the book empowers readers to significantly enhance the cost-effectiveness and operational stability of AI systems, making it an indispensable resource for researchers, professionals, and students seeking to revolutionize their research and applications in the field of Adaptive AI.