Aiia 2015 Advances In Artificial Intelligence

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Formal Ontology in Information Systems

Author : R. Ferrario
Publisher : IOS Press
ISBN 13 : 1614996601
Total Pages : 392 pages
Book Rating : 4.6/5 (149 download)

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Book Synopsis Formal Ontology in Information Systems by : R. Ferrario

Download or read book Formal Ontology in Information Systems written by R. Ferrario and published by IOS Press. This book was released on 2016-07-06 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

AIxIA 2023 – Advances in Artificial Intelligence

Author : Roberto Basili
Publisher : Springer Nature
ISBN 13 : 3031475461
Total Pages : 499 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis AIxIA 2023 – Advances in Artificial Intelligence by : Roberto Basili

Download or read book AIxIA 2023 – Advances in Artificial Intelligence written by Roberto Basili and published by Springer Nature. This book was released on 2023-11-02 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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*Ia 97

Author : Maurizio Lenzerini
Publisher :
ISBN 13 : 9783662209349
Total Pages : 480 pages
Book Rating : 4.2/5 (93 download)

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Book Synopsis AI*Ia 97 by : Maurizio Lenzerini

Download or read book AI*Ia 97 written by Maurizio Lenzerini and published by . This book was released on 2014-01-15 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Pattern Recognition: Applications and Methods

Author : Ana Fred
Publisher : Springer
ISBN 13 : 3319276778
Total Pages : 312 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Pattern Recognition: Applications and Methods by : Ana Fred

Download or read book Pattern Recognition: Applications and Methods written by Ana Fred and published by Springer. This book was released on 2016-01-08 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advances in Artificial Intelligence and Application

Author : Hutan Ashrafian
Publisher :
ISBN 13 : 9781618964694
Total Pages : pages
Book Rating : 4.9/5 (646 download)

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Book Synopsis Advances in Artificial Intelligence and Application by : Hutan Ashrafian

Download or read book Advances in Artificial Intelligence and Application written by Hutan Ashrafian and published by . This book was released on 2017-11 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence Applications in Agriculture and Food Quality Improvement

Author : Khan, Mohammad Ayoub
Publisher : IGI Global
ISBN 13 : 1668451433
Total Pages : 352 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Artificial Intelligence Applications in Agriculture and Food Quality Improvement by : Khan, Mohammad Ayoub

Download or read book Artificial Intelligence Applications in Agriculture and Food Quality Improvement written by Khan, Mohammad Ayoub and published by IGI Global. This book was released on 2022-05-27 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advanced Computational Methods for Agri-Business Sustainability

Author : Satapathy, Suchismita
Publisher : IGI Global
ISBN 13 :
Total Pages : 384 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Advanced Computational Methods for Agri-Business Sustainability by : Satapathy, Suchismita

Download or read book Advanced Computational Methods for Agri-Business Sustainability written by Satapathy, Suchismita and published by IGI Global. This book was released on 2024-07-10 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Globalization has transformed agri-food markets, creating a single global market with reduced trade barriers. In theory, this should bring increased food security, yet challenges persist. Small farmers often need help integrating into global sourcing networks and meeting stringent food safety regulations. Additionally, there is increasing pressure on businesses and governments to address the environmental and resource consequences of agri-food production. Advanced Computational Methods for Agri-Business Sustainability offers a comprehensive analysis of agricultural sector challenges and provides practical solutions. It identifies potential issues in agri-food management and supply chains, offers mitigation strategies, and highlights opportunities for sustainable development. The book aims to bridge the gap between theory and practice, providing insights for academics, policymakers, and industry professionals.

Advances in Artificial Intelligence

Author : Robert E. Mercer
Publisher :
ISBN 13 : 9783662184479
Total Pages : 488 pages
Book Rating : 4.1/5 (844 download)

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Book Synopsis Advances in Artificial Intelligence by : Robert E. Mercer

Download or read book Advances in Artificial Intelligence written by Robert E. Mercer and published by . This book was released on 2014-01-15 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advances in Artificial Intelligence

Author : Cohen
Publisher :
ISBN 13 : 9783540829867
Total Pages : pages
Book Rating : 4.8/5 (298 download)

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Book Synopsis Advances in Artificial Intelligence by : Cohen

Download or read book Advances in Artificial Intelligence written by Cohen and published by . This book was released on 2001 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advances in Artificial Intelligence

Author : Flavio M. de Oliveira
Publisher :
ISBN 13 : 9783662196281
Total Pages : 324 pages
Book Rating : 4.1/5 (962 download)

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Book Synopsis Advances in Artificial Intelligence by : Flavio M. de Oliveira

Download or read book Advances in Artificial Intelligence written by Flavio M. de Oliveira and published by . This book was released on 2014-01-15 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering

Author : Goncalo Marques
Publisher : Academic Press
ISBN 13 : 0323855989
Total Pages : 475 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering by : Goncalo Marques

Download or read book Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering written by Goncalo Marques and published by Academic Press. This book was released on 2022-03-20 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering merges computer engineering and environmental engineering. The book presents the latest finding on how data science and AI-based tools are being applied in environmental engineering research. This application involves multiple domains such as data science and artificial intelligence to transform the data collected by intelligent sensors into relevant and reliable information to support decision-making. These tools include fuzzy logic, knowledge-based systems, particle swarm optimization, genetic algorithms, Monte Carlo simulation, artificial neural networks, support vector machine, boosted regression tree, simulated annealing, ant colony algorithm, decision tree, immune algorithm, and imperialist competitive algorithm. This book is a fundamental information source because it is the first book to present the foundational reference material in this new research field. Furthermore, it gives a critical overview of the latest cross-domain research findings and technological developments on the recent advances in computer-aided intelligent environmental data engineering. Captures the application of data science and artificial intelligence for a broader spectrum of environmental engineering problems Presents methods and procedures as well as case studies where state-of-the-art technologies are applied in actual environmental scenarios Offers a compilation of essential and critical reviews on the application of data science and artificial intelligence to the entire spectrum of environmental engineering

RECENT ADVANCES IN ARTIFICIAL INTELLIGENCE & SMART APPLICATIONS

Author :
Publisher :
ISBN 13 : 9789819738212
Total Pages : 0 pages
Book Rating : 4.7/5 (382 download)

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Book Synopsis RECENT ADVANCES IN ARTIFICIAL INTELLIGENCE & SMART APPLICATIONS by :

Download or read book RECENT ADVANCES IN ARTIFICIAL INTELLIGENCE & SMART APPLICATIONS written by and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Cognitive Design for Artificial Minds

Author : Antonio Lieto
Publisher : Routledge
ISBN 13 : 1315460513
Total Pages : 133 pages
Book Rating : 4.3/5 (154 download)

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Book Synopsis Cognitive Design for Artificial Minds by : Antonio Lieto

Download or read book Cognitive Design for Artificial Minds written by Antonio Lieto and published by Routledge. This book was released on 2021-03-31 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive Design for Artificial Minds explains the crucial role that human cognition research plays in the design and realization of artificial intelligence systems, illustrating the steps necessary for the design of artificial models of cognition. It bridges the gap between the theoretical, experimental, and technological issues addressed in the context of AI of cognitive inspiration and computational cognitive science. Beginning with an overview of the historical, methodological, and technical issues in the field of cognitively inspired artificial intelligence, Lieto illustrates how the cognitive design approach has an important role to play in the development of intelligent AI technologies and plausible computational models of cognition. Introducing a unique perspective that draws upon Cybernetics and early AI principles, Lieto emphasizes the need for an equivalence between cognitive processes and implemented AI procedures, in order to realize biologically and cognitively inspired artificial minds. He also introduces the Minimal Cognitive Grid, a pragmatic method to rank the different degrees of biological and cognitive accuracy of artificial systems in order to project and predict their explanatory power with respect to the natural systems taken as a source of inspiration. Providing a comprehensive overview of cognitive design principles in constructing artificial minds, this text will be essential reading for students and researchers of artificial intelligence and cognitive science.

Revolutionizing Industrial Automation Through the Convergence of Artificial Intelligence and the Internet of Things

Author : Mishra, Divya Upadhyay
Publisher : IGI Global
ISBN 13 : 1668449935
Total Pages : 298 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Revolutionizing Industrial Automation Through the Convergence of Artificial Intelligence and the Internet of Things by : Mishra, Divya Upadhyay

Download or read book Revolutionizing Industrial Automation Through the Convergence of Artificial Intelligence and the Internet of Things written by Mishra, Divya Upadhyay and published by IGI Global. This book was released on 2022-09-23 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the development of innovative technologies, the study of industrial automation is obtaining extraordinary attention from academia, governments, researchers, and various industrial communities. The technical innovations in advanced technologies such as deep learning, blockchain, artificial intelligence of things (AIOT), and more have unlocked the potential for bringing intelligent automation and efficiency to the industries to control their various operations. These new technologies provide an efficient and secure way for industries to manage and develop products intelligently. Revolutionizing Industrial Automation Through the Convergence of Artificial Intelligence and the Internet of Things includes the recent advancements in exploring and developing AIOT-powered strategies and mechanisms for future industrial automation and transforming industrial functions and architectures to help improve various industrial operations. Covering topics such as convolutional neural networks, smart urban logistics, and industrial automation, this premier reference source is an excellent resource for computer scientists, IT managers, engineers, business leaders and executives, logistics managers, students and faculty of higher education, libraries, researchers, and academicians.

Artificial Intelligence in Microbiology: Scope and Challenges Volume 1

Author :
Publisher : Elsevier
ISBN 13 : 0443296251
Total Pages : 300 pages
Book Rating : 4.4/5 (432 download)

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Book Synopsis Artificial Intelligence in Microbiology: Scope and Challenges Volume 1 by :

Download or read book Artificial Intelligence in Microbiology: Scope and Challenges Volume 1 written by and published by Elsevier. This book was released on 2024-08-01 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nowadays, the field of microbiology is undergoing a revolutionary change due to the emergence of Artificial Intelligence (AI). AI is being used to analyze massive data in a predictable form, about the behavior of microorganisms, to solve microbial classification-related problems, exploring the interaction between microorganisms and the surrounding environment. It also helps to extract novel microbial metabolites which have been used in various fields like medical, food and agricultural industries. As the pace of innovation in Microbiology is accelerating, the use of AI in these industries will be beneficial. AI will not only show its extraordinary potential in expanding the market of antibiotics, food, and agriculture but also offer an eco-friendly, safer, and profitable solution to the respective industries. It would be challenging to search out specific features and discuss future research on AI in microbiology with a wide perspective. Uncovering extended functions of AI in Microbiology. Production and development of novel drug targets through AI. Challenges for using and selecting appropriate AI tools in health, agriculture and food sector

Advances in Artificial Intelligence

Author : Ahmed Y. Tawfik
Publisher :
ISBN 13 : 9783662188927
Total Pages : 604 pages
Book Rating : 4.1/5 (889 download)

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Book Synopsis Advances in Artificial Intelligence by : Ahmed Y. Tawfik

Download or read book Advances in Artificial Intelligence written by Ahmed Y. Tawfik and published by . This book was released on 2014-01-15 with total page 604 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Learning and Deep Learning for Smart Agriculture and Applications

Author : Hashmi, Mohamamd Farukh
Publisher : IGI Global
ISBN 13 : 1668499762
Total Pages : 276 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Machine Learning and Deep Learning for Smart Agriculture and Applications by : Hashmi, Mohamamd Farukh

Download or read book Machine Learning and Deep Learning for Smart Agriculture and Applications written by Hashmi, Mohamamd Farukh and published by IGI Global. This book was released on 2023-08-29 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.