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Formal Ontology in Information Systems

Formal Ontology in Information Systems
Author: R. Ferrario
Publisher: IOS Press
Total Pages: 392
Release: 2016-07-06
Genre: Computers
ISBN: 1614996601

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Ontology, originally a fundamental part of philosophical enquiry, is concerned with the analysis and categorization of what exists. The advent of complex information systems which rely on robust and coherent formal representations of their subject matter has led to a renewed focus on ontological enquiry, and the systematic study of such representations are at the center of the modern discipline of formal ontology. This is now a research focus in domains as diverse as conceptual modeling, database design, software engineering, artificial intelligence, computational linguistics, the life sciences, bioinformatics, geographic information science, knowledge engineering, information retrieval and the semantic web. This book presents the proceedings of the 9th edition of the Formal Ontology in Information Systems conference (FOIS 2016) held in Annecy, France, in July 2016. It contains the 25 full papers delivered at the conference (an acceptance rate of 30.9% for the main track), as well as the abstracts of the 3 keynotes by Gilberto Câmara, Stephen Mumford and Friederike Moltmann. The remainder of the book is divided into the sections: Foundations; Space, Time and Change; Cognition, Language and Semantics; Empiricism and Measurement; Ontology for Engineering; Biomedical Ontologies; and Ontology of Social Reality. The domains addressed by the papers include geography, biomedicine, economics, social reality and engineering, and the book will be of interest to all those working in these fields, as well as to anybody with an interest in formal ontology.


AI 2015: Advances in Artificial Intelligence

AI 2015: Advances in Artificial Intelligence
Author: Bernhard Pfahringer
Publisher: Springer
Total Pages: 652
Release: 2015-11-21
Genre: Computers
ISBN: 3319263501

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This book constitutes the refereed proceedings of the 28th Australasian Joint Conference on Artificial Intelligence, AI 2015, held in Canberra, Australia, in November/December 2015. The 39 full papers and 18 short papers presented were carefully reviewed and selected from 102 submissions.


AI*IA 2015 Advances in Artificial Intelligence

AI*IA 2015 Advances in Artificial Intelligence
Author: Marco Gavanelli
Publisher: Springer
Total Pages: 480
Release: 2015-09-09
Genre: Computers
ISBN: 3319243098

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This book constitutes the refereed proceedings of the 14th International Conference of the Italian Association for Artificial Intelligence, A*IA 2015, held in Ferrara, Italy, in September 2015. The 35 full papers presented were carefully reviewed and selected from 44 submissions. The papers are organized in topical sections on swarm intelligence and genetic algorithms; computer vision; multi-agents systems; knowledge representation and reasoning; machine learning; semantic Web; natural language; and scheduling, planning and robotics.


Artificial Intelligence and Industrial Applications

Artificial Intelligence and Industrial Applications
Author: A. Leung
Publisher:
Total Pages: 0
Release: 2015
Genre: Artificial intelligence
ISBN: 9781784660529

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The papers presented in this book are from the 2014 International Conference on Artificial Intelligence and Industrial Application (AIIA). The work shared at AIIA 2014 explored views and ideas on current issues emerging in the field of artificial intelligence. The contents of the book are organised in 7 topics groups: Artificial Intelligence and Application, including AI and the Web; Cognitive Systems and Game Playing and Interactive Entertainment; Industrial Engineering and Applications, Software Process, Communication Technology, Network and Information Security, Data Mining and Knowledge-based Systems, which discussed areas such as Mechatronics; Multimedia & Cognitive Informatics, Recent Trends and Developments and Web Intelligence Applications & Search.


Artificial Intelligence Applications in Agriculture and Food Quality Improvement

Artificial Intelligence Applications in Agriculture and Food Quality Improvement
Author: Khan, Mohammad Ayoub
Publisher: IGI Global
Total Pages: 352
Release: 2022-05-27
Genre: Technology & Engineering
ISBN: 1668451433

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Food is a necessary aspect of human life, and agriculture is crucial to any country’s global economy. Because the food business is essential to both a country’s economy and global economy, artificial intelligence (AI)-based smart solutions are needed to assure product quality and food safety. The agricultural sector is constantly under pressure to boost crop output as a result of population growth. This necessitates the use of AI applications. Artificial Intelligence Applications in Agriculture and Food Quality Improvement discusses the application of AI, machine learning, and data analytics for the acceleration of the agricultural and food sectors. It presents a comprehensive view of how these technologies and tools are used for agricultural process improvement, food safety, and food quality improvement. Covering topics such as diet assessment research, crop yield prediction, and precision farming, this premier reference source is an essential resource for food safety professionals, quality assurance professionals, agriculture specialists, crop managers, agricultural engineers, food scientists, computer scientists, AI specialists, students, libraries, government officials, researchers, and academicians.


Pattern Recognition: Applications and Methods

Pattern Recognition: Applications and Methods
Author: Ana Fred
Publisher: Springer
Total Pages: 301
Release: 2016-01-08
Genre: Computers
ISBN: 3319276778

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This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Conference on Pattern Recognition, ICPRAM 2015, held in Lisbon, Portugal, in January 2015. The 20 revised full papers were carefully reviewed and selected from 145 submissions and describe up-to-date applications of pattern recognition techniques to real-world problems, interdisciplinary research, experimental and/or theoretical studies yielding new insights that advance pattern recognition methods.


AIxIA 2023 – Advances in Artificial Intelligence

AIxIA 2023 – Advances in Artificial Intelligence
Author: Roberto Basili
Publisher: Springer Nature
Total Pages: 499
Release: 2023-11-02
Genre: Computers
ISBN: 3031475461

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This book constitutes the refereed proceedings of the XXIInd International Conference on AIxIA 2023 – Advances in Artificial Intelligence, AIxIA 2023, held in Rome, Italy, during November 6–10, 2023. The 33 full papers included in this book were carefully reviewed and selected from 53 submissions. They were organized in topical sections as follows: Argumentation and Logic Programming, Natural Language Processing, Machine Learning, Hybrid AI and Applications of AI.


AI 2015: Advances in Artificial Intelligence

AI 2015: Advances in Artificial Intelligence
Author: Bernhard Pfahringer
Publisher:
Total Pages:
Release: 2015
Genre:
ISBN: 9783319263519

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This book constitutes the refereed proceedings of the 28th Australasian Joint Conference on Artificial Intelligence, AI 2015, held in Canberra, Australia, in November/December 2015. The 39 full papers and 18 short papers presented were carefully reviewed and selected from 102 submissions.


Principles of Responsible Management Education (PRME) in the Age of Artificial Intelligence (AI)

Principles of Responsible Management Education (PRME) in the Age of Artificial Intelligence (AI)
Author: Agata Stachowicz-Stanusch
Publisher: IAP
Total Pages: 207
Release: 2021-08-01
Genre: Computers
ISBN: 1648025455

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Artificial intelligence (AI) technologies are one of the top investment priorities in these days. We expect that by 2030, some 800 million jobs will have disappeared and taken over by machines, and artificial intelligence will reach human levels by around 2029. Continuing this train of thought to 2045, we will have multiplied the intelligence, the human biological machine intelligence of our civilization a billion-fold. The time of machines requires new forms of work and new ways of business education. This book is authored by a range of international experts with a diversity of backgrounds and perspectives hopefully bringing us closer to the responses for the questions like how may AI be used /or is a threat for PRME implementation, how will AI impact the business education world or what we should teach in business school in the time of AI (what the ‘right’ set of future skills is)? In our book, we address the following questions: 1. How will AI impact the business education world? 2. How will AI be used in business schools and management learning? 3. Is AI a threat for the successful implementation of PRME? 4. What should new learning goals be? 5. How should we create next generation learning journeys?


Machine Learning and Deep Learning for Smart Agriculture and Applications

Machine Learning and Deep Learning for Smart Agriculture and Applications
Author: Hashmi, Mohamamd Farukh
Publisher: IGI Global
Total Pages: 276
Release: 2023-08-29
Genre: Technology & Engineering
ISBN: 1668499762

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Machine Learning and Deep Learning for Smart Agriculture and Applications delves into the captivating realm of artificial intelligence and its pivotal role in transforming the landscape of modern agriculture. With a focus on precision agriculture, digital farming, and emerging concepts, this book illuminates the significance of sustainable food production and resource management in the face of evolving digital hardware and software technologies. Geospatial technology, robotics, the Internet of Things (IoT), and data analytics converge with machine learning and big data to unlock new possibilities in agricultural management. This book explores the synergy between these disciplines, offering cutting-edge insights into data-intensive processes within operational agricultural environments. From automated irrigation systems and agricultural drones for field analysis to crop monitoring and precision agriculture, the applications of machine learning are far-reaching. Animal identification and health monitoring also benefit from these advanced techniques. With practical case studies on vegetable and fruit leaf disease detection, drone-based agriculture, and the impact of pesticides on plants, this book provides a comprehensive understanding of the applications of machine learning and deep learning in smart agriculture. It also examines various modeling techniques employed in this field and showcases how artificial intelligence can revolutionize plant disease detection. This book serves as a comprehensive guide for researchers, practitioners, and students seeking to harness the power of AI in transforming the agricultural landscape.