The 8th International Conference On Advanced Machine Learning And Technologies And Applications Amlta2022

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The 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022)

Author : Aboul Ella Hassanien
Publisher : Springer Nature
ISBN 13 : 3031039181
Total Pages : 708 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis The 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022) by : Aboul Ella Hassanien

Download or read book The 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022) written by Aboul Ella Hassanien and published by Springer Nature. This book was released on 2022-04-16 with total page 708 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2022, held in Cairo, Egypt, during May 5-7, 2022. The 8th edition of AMLTA will be organized by the Scientific Research Group in Egypt (SRGE), Egypt, collaborating with Port Said University, Egypt, and VSB-Technical University of Ostrava, Czech Republic. AMLTA series aims to become the premier international conference for an in-depth discussion on the most up-to-date and innovative ideas, research projects, and practices in the field of machine learning technologies and their applications. The book covers current research on advanced machine learning technology, including deep learning technology, sentiment analysis, cyber-physical system, IoT, and smart cities informatics and AI against COVID-19, data mining, power and control systems, business intelligence, social media, digital transformation, and smart systems.

Semantic Technologies for Intelligent Industry 4.0 Applications

Author : Archana Patel
Publisher : CRC Press
ISBN 13 : 1000964108
Total Pages : 395 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Semantic Technologies for Intelligent Industry 4.0 Applications by : Archana Patel

Download or read book Semantic Technologies for Intelligent Industry 4.0 Applications written by Archana Patel and published by CRC Press. This book was released on 2023-10-06 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the world enters the era of big data, there is a serious need to give a semantic perspective to the data in order to find unseen patterns, derive meaningful information, and make intelligent decisions. Semantic technologies offer the richest machine-interpretable (rather than just machine-processable) and explicit semantics that are being extensively used in various domains and industries. These technologies reduce the problem of large semantic loss in the process of modelling knowledge, and provide sharable, reusable knowledge,and a common understanding of the knowledge. As a result, the interoperability and interconnectivity of the model make it priceless for addressing the issues of querying data. These technologies work with the concepts and relations that are very lose to the working of the human brain. They provide a semantic representation of any data format: unstructured or semi-structured. As a consequence, data becomes real-world entity rather than a string of characters. For these reasons, semantic technologies are highly valuable tools to simplify the existing problems of the industry leading to new opportunities. However, there are some challenges that need to be addressed to make industrial applications and machines smarter. This book aims to provide a roadmap for semantic technologies and highlights the role of these technologies in industry. The book also explores the present and future prospects of these semantic technologies along with providing answers to various questions like: Are semantic technologies useful for the next era (industry 4.0)? Why are semantic technologies so popular and extensively used in the industry? Can semantic technologies make intelligent industrial applications? Which type of problem requires the immediate attention of researchers? Why are semantic technologies very helpful in people’s future lives? This book will potentially serve as an important guide towards the latest industrial applications of semantic technologies for the upcoming generation, and thus becomes a unique resource for scholars, researchers, professionals and practitioners in the field.

Proceedings of the 9th International Conference on Advanced Intelligent Systems and Informatics 2023

Author : AboulElla Hassanien
Publisher : Springer Nature
ISBN 13 : 3031432479
Total Pages : 572 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Proceedings of the 9th International Conference on Advanced Intelligent Systems and Informatics 2023 by : AboulElla Hassanien

Download or read book Proceedings of the 9th International Conference on Advanced Intelligent Systems and Informatics 2023 written by AboulElla Hassanien and published by Springer Nature. This book was released on 2023-09-17 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings book constitutes the refereed proceedings of the 9th International Conference on Advanced Intelligent Systems and Informatics (AISI 2023), which took place in Port Said University, Port Said, Egypt, during September 20–22, 2023, Egypt, and is an international interdisciplinary conference that presents a spectrum of scientific research on all aspects of informatics and intelligent systems, technologies, and applications.

Data Science with Semantic Technologies

Author : Archana Patel
Publisher : CRC Press
ISBN 13 : 1000881237
Total Pages : 293 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Data Science with Semantic Technologies by : Archana Patel

Download or read book Data Science with Semantic Technologies written by Archana Patel and published by CRC Press. This book was released on 2023-06-20 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: As data is an important asset for any organization, it is essential to apply semantic technologies in data science to fulfill the need of any organization. This first volume of a two-volume handbook set provides a roadmap for new trends and future developments of data science with semantic technologies. Data Science with Semantic Technologies: New Trends and Future Developments highlights how data science enables the user to create intelligence through these technologies. In addition, this book offers the answers to various questions such as: Can semantic technologies facilitate data science? Which type of data science problems can be tackled by semantic technologies? How can data scientists benefit from these technologies? What is the role of semantic technologies in data science? What is the current progress and future of data science with semantic technologies? Which types of problems require the immediate attention of the researchers? What should be the vision 2030 for data science? This volume can serve as an important guide toward applications of data science with semantic technologies for the upcoming generation and, thus, it is a unique resource for scholars, researchers, professionals, and practitioners in this field.

The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018)

Author : Aboul Ella Hassanien
Publisher : Springer
ISBN 13 : 3319746901
Total Pages : 717 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018) by : Aboul Ella Hassanien

Download or read book The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018) written by Aboul Ella Hassanien and published by Springer. This book was released on 2018-01-25 with total page 717 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the refereed proceedings of the third International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2018, held in Cairo, Egypt, on February 22–24, 2018, and organized by the Scientific Research Group in Egypt (SRGE). The papers cover current research in machine learning, big data, Internet of Things, biomedical engineering, fuzzy logic, security, and intelligence swarms and optimization.

Advanced Machine Learning Technologies and Applications

Author : Aboul-Ella Hassanien
Publisher : Springer Nature
ISBN 13 : 3030697177
Total Pages : 1144 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Advanced Machine Learning Technologies and Applications by : Aboul-Ella Hassanien

Download or read book Advanced Machine Learning Technologies and Applications written by Aboul-Ella Hassanien and published by Springer Nature. This book was released on 2021-03-04 with total page 1144 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the refereed proceedings of the 6th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA 2021) held in Cairo, Egypt, during March 22–24, 2021, and organized by the Scientific Research Group of Egypt (SRGE). The papers cover current research Artificial Intelligence Against COVID-19, Internet of Things Healthcare Systems, Deep Learning Technology, Sentiment analysis, Cyber-Physical System, Health Informatics, Data Mining, Power and Control Systems, Business Intelligence, Social media, Control Design, and Smart Systems.

Engineering Solutions Toward Sustainable Development

Author : Abdelazim M. Negm
Publisher : Springer Nature
ISBN 13 : 3031464915
Total Pages : 831 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Engineering Solutions Toward Sustainable Development by : Abdelazim M. Negm

Download or read book Engineering Solutions Toward Sustainable Development written by Abdelazim M. Negm and published by Springer Nature. This book was released on 2024-01-16 with total page 831 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the referred proceeding of the 1st International Conference on Engineering Solutions Toward Sustainable development (ESSD2023), organized by the Faculty of Engineering, Port Said University and held in Port Said, Egypt, during May 2-3, 2023. The book is devoted to fulfill the need for sustainable development that has never been more urgent. It shows the crucial role of engineering to play in this transition from consumption culture to responsible culture. This book explores the relationship between engineering and sustainability, highlighting the vital role that engineering plays in achieving sustainable development. The book provides a comprehensive guide for engineers, researchers, and experts from different disciplines that are interested in sustainable development. From renewable energy sources to green infrastructure, the book delves into the latest technological advancements providing insights and practical strategies for designing and implementing sustainable solutions. With practical examples and case studies, readers will gain a deep understanding of how engineering principles and practices can be harnessed to develop sustainable solutions that balance economic, social, and environmental needs and to mitigate the negative impacts of human activity on our planet. The books is very useful for graduate students, researchers, policy planners, decision makers and stakeholders in the field of renewable energy, clean water development, climate actions, smart cities and communities and green infrastructures.

AI and Cognitive Modelling for Education

Author : Boris Aberšek
Publisher : Springer Nature
ISBN 13 : 3031353315
Total Pages : 236 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis AI and Cognitive Modelling for Education by : Boris Aberšek

Download or read book AI and Cognitive Modelling for Education written by Boris Aberšek and published by Springer Nature. This book was released on 2023-07-30 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a groundbreaking approach to bridging the gap between various disciplines involved in cognitive modeling in education. By drawing on the fields of learning, neuro science, cognitive science, neurobiology, and computer science, it provides a new perspective on how we can integrate these disciplines with education to create more effective learning environments. The main objective of this book is to delve into the ethical, sociological, and technological questions surrounding the introduction of intelligent and smart learning environments in education. By analyzing these issues, this book aims to bridge the gap between the various disciplines involved in cognitive modeling and education, while highlighting the benefits and risks associated with these advancements. With the emergence of AI-based tutors, coaches, and learning environments, students now have access to a new type of self-learning and self-training that was previously unavailable. Distance learning has become increasingly popular in recent years, and the use of computer-assisted learning tools has revolutionized the way we think about education. The goal of education must be to instill in students a desire to learn for themselves, and this can only be achieved through active, self-directed, and reflective learning. With intelligent tutoring systems, students are empowered to take an active role in their own education, rather than simply being passive recipients of information. This book offers practical strategies for teachers to facilitate this transition, enabling them to act as facilitators and guides rather than one-way communicators. By embracing this new approach to education, we can help students become lifelong learners who are equipped with the skills they need to succeed in the 21st century. As we cannot predict the future with certainty, the true effects of education may only be revealed in the long run, making it critical to understand the potential consequences of introducing these new learning tools. By exploring these complex topics, this book offers valuable insights for educators, policymakers, and anyone interested in the future of education.

Digitalisation: Opportunities and Challenges for Business

Author : Bahaaeddin Alareeni
Publisher : Springer Nature
ISBN 13 : 303126956X
Total Pages : 899 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Digitalisation: Opportunities and Challenges for Business by : Bahaaeddin Alareeni

Download or read book Digitalisation: Opportunities and Challenges for Business written by Bahaaeddin Alareeni and published by Springer Nature. This book was released on 2023-03-27 with total page 899 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the implications of technology, entrepreneurship, and business ‎‎development gadgets ‎for applications in societies. In this book proceedings, we attempt to address the importance and impact of digitalization and ‎on business development in the context ‎of economic ‎diversity, that is through various propositions of ‎modern technology and entrepreneurial ‎actions, and through the lens of case studies, experiments, empirical ‎assessments, just to name a ‎few research methodological stances and approaches.‎ This book highlights a range of topics in the fields of technology, ‎entrepreneurship, business administration, accounting, and economics that can contribute to business ‎development in developing countries, such as learning machines, artificial intelligence, big data, ‎deep ‎‎learning, game-based learning, management information system, ‎accounting information ‎system, knowledge management, entrepreneurship and social enterprise, corporate social responsibility and sustainability, business policy and strategic management, international management and organizations, organizational behavior and HRM, operations management and logistics research, controversial issues in management and organizations, turnaround, corporate entrepreneurship, and innovation, legal issues, business ethics, and firm governance, and firm financial affairs, non-traditional research, and creative methodologies. This book is ideal for academicians, activists, curriculum ‎developers, researchers, professionals, administrators, and policymakers. The readers of this book could gain an up-to-date know-how on state-of-the-modern technology, entrepreneurship, and business development and achievements in this regard from the research standpoint of view.

Advanced Machine Learning Technologies and Applications

Author : Aboul Ella Hassanien
Publisher : Springer
ISBN 13 : 9789811533822
Total Pages : 757 pages
Book Rating : 4.5/5 (338 download)

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Book Synopsis Advanced Machine Learning Technologies and Applications by : Aboul Ella Hassanien

Download or read book Advanced Machine Learning Technologies and Applications written by Aboul Ella Hassanien and published by Springer. This book was released on 2020-05-26 with total page 757 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the refereed proceedings of the 5th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA 2020), held at Manipal University Jaipur, India, on February 13 – 15, 2019, and organized in collaboration with the Scientific Research Group in Egypt (SRGE). The papers cover current research in machine learning, big data, Internet of Things, biomedical engineering, fuzzy logic and security, as well as intelligence swarms and optimization.

Machine Learning, Optimization, and Data Science

Author : Giuseppe Nicosia
Publisher : Springer Nature
ISBN 13 : 3031258916
Total Pages : 605 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Machine Learning, Optimization, and Data Science by : Giuseppe Nicosia

Download or read book Machine Learning, Optimization, and Data Science written by Giuseppe Nicosia and published by Springer Nature. This book was released on 2023-03-09 with total page 605 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set, LNCS 13810 and 13811, constitutes the refereed proceedings of the 8th International Conference on Machine Learning, Optimization, and Data Science, LOD 2022, together with the papers of the Second Symposium on Artificial Intelligence and Neuroscience, ACAIN 2022. The total of 84 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 226 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, neuroscience, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications.

Machine Learning, Optimization, and Data Science

Author : Giuseppe Nicosia
Publisher : Springer
ISBN 13 : 9783031255984
Total Pages : 0 pages
Book Rating : 4.2/5 (559 download)

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Book Synopsis Machine Learning, Optimization, and Data Science by : Giuseppe Nicosia

Download or read book Machine Learning, Optimization, and Data Science written by Giuseppe Nicosia and published by Springer. This book was released on 2023-03-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set, LNCS 13810 and 13811, constitutes the refereed proceedings of the 8th International Conference on Machine Learning, Optimization, and Data Science, LOD 2022, together with the papers of the Second Symposium on Artificial Intelligence and Neuroscience, ACAIN 2022. The total of 84 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 226 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, neuroscience, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications.

Machine Learning

Author :
Publisher :
ISBN 13 : 9781558602007
Total Pages : pages
Book Rating : 4.6/5 (2 download)

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Book Synopsis Machine Learning by :

Download or read book Machine Learning written by and published by . This book was released on 1991 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Learning, Optimization, and Data Science

Author : Giuseppe Nicosia
Publisher : Springer
ISBN 13 : 9783031255984
Total Pages : 0 pages
Book Rating : 4.2/5 (559 download)

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Book Synopsis Machine Learning, Optimization, and Data Science by : Giuseppe Nicosia

8th International Conference on Tools with Artificial Intelligence

Author : IEEE Computer Society
Publisher : IEEE Computer Society
ISBN 13 : 9780818676864
Total Pages : 492 pages
Book Rating : 4.6/5 (768 download)

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Book Synopsis 8th International Conference on Tools with Artificial Intelligence by : IEEE Computer Society

Download or read book 8th International Conference on Tools with Artificial Intelligence written by IEEE Computer Society and published by IEEE Computer Society. This book was released on 1996-01-01 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over 60 full papers and another two dozen shorter poster papers discuss genetic algorithms, reasoning under uncertainty, natural language processing, knowledge base technology, knowledge acquisition and machine learning, applications of artificial intelligence, constraint satisfaction, qualitative r

Deep Learning with TensorFlow 2 and Keras

Author : Antonio Gulli
Publisher : Packt Publishing Ltd
ISBN 13 : 1838827722
Total Pages : 647 pages
Book Rating : 4.8/5 (388 download)

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Book Synopsis Deep Learning with TensorFlow 2 and Keras by : Antonio Gulli

Download or read book Deep Learning with TensorFlow 2 and Keras written by Antonio Gulli and published by Packt Publishing Ltd. This book was released on 2019-12-27 with total page 647 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build machine and deep learning systems with the newly released TensorFlow 2 and Keras for the lab, production, and mobile devices Key FeaturesIntroduces and then uses TensorFlow 2 and Keras right from the startTeaches key machine and deep learning techniquesUnderstand the fundamentals of deep learning and machine learning through clear explanations and extensive code samplesBook Description Deep Learning with TensorFlow 2 and Keras, Second Edition teaches neural networks and deep learning techniques alongside TensorFlow (TF) and Keras. You’ll learn how to write deep learning applications in the most powerful, popular, and scalable machine learning stack available. TensorFlow is the machine learning library of choice for professional applications, while Keras offers a simple and powerful Python API for accessing TensorFlow. TensorFlow 2 provides full Keras integration, making advanced machine learning easier and more convenient than ever before. This book also introduces neural networks with TensorFlow, runs through the main applications (regression, ConvNets (CNNs), GANs, RNNs, NLP), covers two working example apps, and then dives into TF in production, TF mobile, and using TensorFlow with AutoML. What you will learnBuild machine learning and deep learning systems with TensorFlow 2 and the Keras APIUse Regression analysis, the most popular approach to machine learningUnderstand ConvNets (convolutional neural networks) and how they are essential for deep learning systems such as image classifiersUse GANs (generative adversarial networks) to create new data that fits with existing patternsDiscover RNNs (recurrent neural networks) that can process sequences of input intelligently, using one part of a sequence to correctly interpret anotherApply deep learning to natural human language and interpret natural language texts to produce an appropriate responseTrain your models on the cloud and put TF to work in real environmentsExplore how Google tools can automate simple ML workflows without the need for complex modelingWho this book is for This book is for Python developers and data scientists who want to build machine learning and deep learning systems with TensorFlow. This book gives you the theory and practice required to use Keras, TensorFlow 2, and AutoML to build machine learning systems. Some knowledge of machine learning is expected.

Machine Learning for Big Data Analysis

Author : Siddhartha Bhattacharyya
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110550776
Total Pages : 246 pages
Book Rating : 4.1/5 (15 download)

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Book Synopsis Machine Learning for Big Data Analysis by : Siddhartha Bhattacharyya

Download or read book Machine Learning for Big Data Analysis written by Siddhartha Bhattacharyya and published by Walter de Gruyter GmbH & Co KG. This book was released on 2018-12-17 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume comprises six well-versed contributed chapters devoted to report the latest fi ndings on the applications of machine learning for big data analytics. Big data is a term for data sets that are so large or complex that traditional data processing application software is inadequate to deal with them. The possible challenges in this direction include capture, storage, analysis, data curation, search, sharing, transfer, visualization, querying, updating and information privacy. Big data analytics is the process of examining large and varied data sets - i.e., big data - to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions. This volume is intended to be used as a reference by undergraduate and post graduate students of the disciplines of computer science, electronics and telecommunication, information science and electrical engineering. THE SERIES: FRONTIERS IN COMPUTATIONAL INTELLIGENCE The series Frontiers In Computational Intelligence is envisioned to provide comprehensive coverage and understanding of cutting edge research in computational intelligence. It intends to augment the scholarly discourse on all topics relating to the advances in artifi cial life and machine learning in the form of metaheuristics, approximate reasoning, and robotics. Latest research fi ndings are coupled with applications to varied domains of engineering and computer sciences. This field is steadily growing especially with the advent of novel machine learning algorithms being applied to different domains of engineering and technology. The series brings together leading researchers that intend to continue to advance the fi eld and create a broad knowledge about the most recent research.