Advances In Artificial Intelligence And Applied Cognitive Computing

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Advances in Artificial Intelligence and Applied Cognitive Computing

Author : Hamid R. Arabnia,Ken Ferens,David de la Fuente,Elena B. Kozerenko,José Angel Olivas Varela,Fernando G. Tinetti
Publisher : Springer Nature
Page : 1152 pages
File Size : 49,8 Mb
Release : 2021-10-14
Category : Technology & Engineering
ISBN : 9783030702960

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Advances in Artificial Intelligence and Applied Cognitive Computing by Hamid R. Arabnia,Ken Ferens,David de la Fuente,Elena B. Kozerenko,José Angel Olivas Varela,Fernando G. Tinetti Pdf

The book presents the proceedings of two conferences: The 22nd International Conference on Artificial Intelligence (ICAI’20) and The 4th International Conference on Applied Cognitive Computing (ACC’20). The conferences took place in Las Vegas, NV, USA, July 27-30, 2020, and are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Topics include: deep learning; neural networks; brain models; cognitive science; natural language processing; fuzzy logic and soft computing (ICAI) and novel computationally intelligent algorithms; bio inspired cognitive algorithms; modeling human brain processing systems (ACC); and more. Authors include academics, researchers, and professionals. Presents the proceedings of two conferences as part of the 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20); Includes the tracks: artificial intelligence and applied cognitive computing; Features papers from the 22nd International Conference on AI (ICAI’20) and the 4th International Conference on Applied Cognitive Computing (ACC’20).

Advances in Artificial Intelligence and Applied Cognitive Computing

Author : Hamid R. Arabnia,Ken Ferens,David de la Fuente,Elena B. Kozerenko,José Angel Olivas Varela,Fernando G. Tinetti
Publisher : Unknown
Page : 0 pages
File Size : 40,5 Mb
Release : 2021
Category : Electronic
ISBN : 3030702979

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Advances in Artificial Intelligence and Applied Cognitive Computing by Hamid R. Arabnia,Ken Ferens,David de la Fuente,Elena B. Kozerenko,José Angel Olivas Varela,Fernando G. Tinetti Pdf

The book presents the proceedings of two conferences: The 22nd International Conference on Artificial Intelligence (ICAI'20) and The 4th International Conference on Applied Cognitive Computing (ACC'20). The conferences took place in Las Vegas, NV, USA, July 27-30, 2020, and are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Topics include: deep learning; neural networks; brain models; cognitive science; natural language processing; fuzzy logic and soft computing (ICAI) and novel computationally intelligent algorithms; bio inspired cognitive algorithms; modeling human brain processing systems (ACC); and more. Authors include academics, researchers, and professionals. Presents the proceedings of two conferences as part of the 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20); Includes the tracks: artificial intelligence and applied cognitive computing; Features papers from the 22nd International Conference on AI (ICAI'20) and the 4th International Conference on Applied Cognitive Computing (ACC'20).

Artificial Intelligence and Cognitive Computing

Author : Miltiadis D. Lytras,Anna Visvizi
Publisher : MDPI
Page : 278 pages
File Size : 45,9 Mb
Release : 2021-09-10
Category : Technology & Engineering
ISBN : 9783036511610

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Artificial Intelligence and Cognitive Computing by Miltiadis D. Lytras,Anna Visvizi Pdf

Artificial intelligence (AI) is a subject garnering increasing attention in both academia and the industry today. The understanding is that AI-enhanced methods and techniques create a variety of opportunities related to improving basic and advanced business functions, including production processes, logistics, financial management and others. As this collection demonstrates, AI-enhanced tools and methods tend to offer more precise results in the fields of engineering, financial accounting, tourism, air-pollution management and many more. The objective of this collection is to bring these topics together to offer the reader a useful primer on how AI-enhanced tools and applications can be of use in today’s world. In the context of the frequently fearful, skeptical and emotion-laden debates on AI and its value added, this volume promotes a positive perspective on AI and its impact on society. AI is a part of a broader ecosystem of sophisticated tools, techniques and technologies, and therefore, it is not immune to developments in that ecosystem. It is thus imperative that inter- and multidisciplinary research on AI and its ecosystem is encouraged. This collection contributes to that.

Cognitive Computing and Big Data Analytics

Author : Judith S. Hurwitz,Marcia Kaufman,Adrian Bowles
Publisher : John Wiley & Sons
Page : 288 pages
File Size : 43,5 Mb
Release : 2015-04-08
Category : Computers
ISBN : 9781118896785

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Cognitive Computing and Big Data Analytics by Judith S. Hurwitz,Marcia Kaufman,Adrian Bowles Pdf

A comprehensive guide to learning technologies that unlock thevalue in big data Cognitive Computing provides detailed guidance towardbuilding a new class of systems that learn from experience andderive insights to unlock the value of big data. This book helpstechnologists understand cognitive computing's underlyingtechnologies, from knowledge representation techniques and naturallanguage processing algorithms to dynamic learning approaches basedon accumulated evidence, rather than reprogramming. Detailed caseexamples from the financial, healthcare, and manufacturing walkreaders step-by-step through the design and testing of cognitivesystems, and expert perspectives from organizations such asCleveland Clinic, Memorial Sloan-Kettering, as well as commercialvendors that are creating solutions. These organizations provideinsight into the real-world implementation of cognitive computingsystems. The IBM Watson cognitive computing platform is describedin a detailed chapter because of its significance in helping todefine this emerging market. In addition, the book includesimplementations of emerging projects from Qualcomm, Hitachi, Googleand Amazon. Today's cognitive computing solutions build on establishedconcepts from artificial intelligence, natural language processing,ontologies, and leverage advances in big data management andanalytics. They foreshadow an intelligent infrastructure thatenables a new generation of customer and context-aware smartapplications in all industries. Cognitive Computing is a comprehensive guide to thesubject, providing both the theoretical and practical guidancetechnologists need. Discover how cognitive computing evolved from promise toreality Learn the elements that make up a cognitive computingsystem Understand the groundbreaking hardware and softwaretechnologies behind cognitive computing Learn to evaluate your own application portfolio to find thebest candidates for pilot projects Leverage cognitive computing capabilities to transform theorganization Cognitive systems are rightly being hailed as the new era ofcomputing. Learn how these technologies enable emerging firms tocompete with entrenched giants, and forward-thinking establishedfirms to disrupt their industries. Professionals who currently workwith big data and analytics will see how cognitive computing buildson their foundation, and creates new opportunities. CognitiveComputing provides complete guidance to this new level ofhuman-machine interaction.

Modern Advances in Intelligent Systems and Tools

Author : Wei Ding,He Jiang,Moonis Ali,Mingchu Li
Publisher : Springer
Page : 182 pages
File Size : 55,5 Mb
Release : 2012-08-16
Category : Technology & Engineering
ISBN : 9783642307324

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Modern Advances in Intelligent Systems and Tools by Wei Ding,He Jiang,Moonis Ali,Mingchu Li Pdf

Intelligent systems provide a platform to connect the research in artificial intelligence to real-world problem solving applications. Various intelligent systems have been developed to face real-world applications. This book discusses the modern advances in intelligent systems and the tools in applied artificial intelligence. It consists of twenty-three chapters authored by participants of the 25th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2012) which was held in Dalian, China. This book is divided into six parts, including Applied Intelligence, Cognitive Computing and Affective Computing, Data Mining and Intelligent Systems, Decision Support Systems, Machine Learning, and Natural Language Processing. Each part includes three to five chapters. In these chapters, many approaches, applications, restrictions, and discussions are presented. The material of each chapter is self-contained and was reviewed by at least two anonymous referees to assure the high quality. Readers can select any individual chapter based on their research interests without the need of reading other chapters. We hope that this book provides useful reference values to researchers and students in the field of applied intelligence. We also hope that readers will find opportunities and recognize challenges through the papers presented in this book.

Cognitive Science and Artificial Intelligence

Author : Sasikumar Gurumoorthy,Bangole Narendra Kumar Rao,Xiao-Zhi Gao
Publisher : Springer
Page : 112 pages
File Size : 48,6 Mb
Release : 2017-12-22
Category : Technology & Engineering
ISBN : 9789811066986

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Cognitive Science and Artificial Intelligence by Sasikumar Gurumoorthy,Bangole Narendra Kumar Rao,Xiao-Zhi Gao Pdf

This book presents interdisciplinary research on cognition, mind and behavior from an information processing perspective. It includes chapters on Artificial Intelligence, Decision Support Systems, Machine Learning, Data Mining and Support Vector Machines, chiefly with regard to the data obtained and analyzed in Medical Informatics, Bioinformatics and related disciplines. The book reflects the state-of-the-art in Artificial Intelligence and Cognitive Science, and covers theory, algorithms, numerical simulation, error and uncertainty analysis, as well novel applications of new processing techniques in Biomedical Informatics, Computer Science and its applied areas. As such, it offers a valuable resource for students and researchers from the fields of Computer Science and Engineering in Medicine and Biology.

Cognitive Engineering for Next Generation Computing

Author : Kolla Bhanu Prakash,G. R. Kanagachidambaresan,V. Srikanth,E. Vamsidhar
Publisher : John Wiley & Sons
Page : 370 pages
File Size : 49,7 Mb
Release : 2021-04-06
Category : Computers
ISBN : 9781119711087

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Cognitive Engineering for Next Generation Computing by Kolla Bhanu Prakash,G. R. Kanagachidambaresan,V. Srikanth,E. Vamsidhar Pdf

The cognitive approach to the IoT provides connectivity to everyone and everything since IoT connected devices are known to increase rapidly. When the IoT is integrated with cognitive technology, performance is improved, and smart intelligence is obtained. Discussed in this book are different types of datasets with structured content based on cognitive systems. The IoT gathers the information from the real time datasets through the internet, where the IoT network connects with multiple devices. This book mainly concentrates on providing the best solutions to existing real-time issues in the cognitive domain. Healthcare-based, cloud-based and smart transportation-based applications in the cognitive domain are addressed. The data integrity and security aspects of the cognitive computing main are also thoroughly discussed along with validated results.

Advances in Computational Intelligence Systems

Author : Thomas Jansen,Richard Jensen,Neil Mac Parthaláin,Chih-Min Lin
Publisher : Springer Nature
Page : 579 pages
File Size : 52,6 Mb
Release : 2021-11-17
Category : Technology & Engineering
ISBN : 9783030870942

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Advances in Computational Intelligence Systems by Thomas Jansen,Richard Jensen,Neil Mac Parthaláin,Chih-Min Lin Pdf

This book contains the papers presented at the 20th UK Workshop on Computational Intelligence (UKCI 2021), held virtually by Aberystwyth University, 8–10th September 2021. This marks the 20th anniversary of UKCI; a testament to the increasing role and importance of Computational Intelligence (CI) and the continuing interest in its development. UKCI provides a forum for the academic community and industry to share ideas and experience in this field. EDMA 2021, the 4th International Engineering Data- and Model-Driven Applications workshop, is also incorporated and held in conjunction with UKCI 2021. Paper submissions were invited in the areas of fuzzy systems, neural networks, evolutionary computation, machine learning, data mining, cognitive computing, intelligent robotics, hybrid methods, deep learning and applications of CI.

Applications of Artificial Intelligence for Smart Technology

Author : Swarnalatha, P.,Prabu, S.
Publisher : IGI Global
Page : 330 pages
File Size : 40,7 Mb
Release : 2020-10-30
Category : Computers
ISBN : 9781799833376

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Applications of Artificial Intelligence for Smart Technology by Swarnalatha, P.,Prabu, S. Pdf

As global communities are attempting to transform into more efficient and technologically-advanced metropolises, artificial intelligence (AI) has taken a firm grasp on various professional fields. Technology used in these industries is transforming by introducing intelligent techniques including machine learning, cognitive computing, and computer vision. This has raised significant attention among researchers and practitioners on the specific impact that these smart technologies have and what challenges remain. Applications of Artificial Intelligence for Smart Technology is a pivotal reference source that provides vital research on the implementation of advanced technological techniques in professional industries through the use of AI. While highlighting topics such as pattern recognition, computational imaging, and machine learning, this publication explores challenges that various fields currently face when applying these technologies and examines the future uses of AI. This book is ideally designed for researchers, developers, managers, academicians, analysts, students, and practitioners seeking current research on the involvement of AI in professional practices.

Advances in Artificial Intelligence

Author : Malek Mouhoub,Philippe Langlais
Publisher : Springer
Page : 428 pages
File Size : 52,8 Mb
Release : 2017-05-06
Category : Computers
ISBN : 9783319573519

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Advances in Artificial Intelligence by Malek Mouhoub,Philippe Langlais Pdf

This book constitutes the refereed proceedings of the 30th Canadian Conference on Artificial Intelligence, Canadian AI 2017, held in Edmonton, AB, Canada, in May 2017. The 19 regular papers and 24 short papers presented together with 6 Graduate Student Symposium papers were carefully reviewed and selected from 62 submissions. The focus of the conference was on the following subjects: Data Mining and Machine Learning; Planning and Combinatorial Optimization; AI Applications; Natural Language Processing; Uncertainty and Preference Reasoning; and Agent Systems.

Advances in Artificial Intelligence

Author : James C. Bezdek
Publisher : World Scientific
Page : 240 pages
File Size : 54,9 Mb
Release : 1990
Category : Computers
ISBN : 9810205252

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Advances in Artificial Intelligence by James C. Bezdek Pdf

Presents extensions of papers reported in the proceedings of the 1989 SPIE symposium. In the applications group articles cover the use of expert systems in computer aided education, hydrocarbon (oil) exploration, satellite image analysis for oceanography, particle beam accelerator tuning, design of internal combustion engines. Papers in the theory group cover theories, algorithms, architectures and software tools that can be used for modules within future systems.

Cognitive Computing Recipes

Author : Adnan Masood,Adnan Hashmi
Publisher : Apress
Page : 437 pages
File Size : 46,6 Mb
Release : 2019-03-27
Category : Computers
ISBN : 9781484241066

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Cognitive Computing Recipes by Adnan Masood,Adnan Hashmi Pdf

Solve your AI and machine learning problems using complete and real-world code examples. Using a problem-solution approach, this book makes deep learning and machine learning accessible to everyday developers, by providing a combination of tools such as cognitive services APIs, machine learning platforms, and libraries. Along with an overview of the contemporary technology landscape, Machine Learning and Deep Learning with Cognitive Computing Recipes covers the business case for machine learning and deep learning. Covering topics such as digital assistants, computer vision, text analytics, speech, and robotics process automation this book offers a comprehensive toolkit that you can apply quickly and easily in your own projects. With its focus on Microsoft Cognitive Services offerings, you’ll see recipes using multiple different environments including TensowFlow and CNTK to give you a broader perspective of the deep learning ecosystem. What You Will LearnBuild production-ready solutions using Microsoft Cognitive Services APIs Apply deep learning using TensorFlow and Microsoft Cognitive Toolkit (CNTK) Solve enterprise problems in natural language processing and computer vision Discover the machine learning development life cycle – from formal problem definition to deployment at scale Who This Book Is For Software engineers and enterprise architects who wish to understand machine learning and deep learning by building applications and solving real-world business problems.

Advances in Cybernetics, Cognition, and Machine Learning for Communication Technologies

Author : Vinit Kumar Gunjan,Sabrina Senatore,Amit Kumar,Xiao-Zhi Gao,Suresh Merugu
Publisher : Springer Nature
Page : 593 pages
File Size : 46,9 Mb
Release : 2020-04-28
Category : Technology & Engineering
ISBN : 9789811531255

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Advances in Cybernetics, Cognition, and Machine Learning for Communication Technologies by Vinit Kumar Gunjan,Sabrina Senatore,Amit Kumar,Xiao-Zhi Gao,Suresh Merugu Pdf

This book highlights recent advances in Cybernetics, Machine Learning and Cognitive Science applied to Communications Engineering and Technologies, and presents high-quality research conducted by experts in this area. It provides a valuable reference guide for students, researchers and industry practitioners who want to keep abreast of the latest developments in this dynamic, exciting and interesting research field of communication engineering, driven by next-generation IT-enabled techniques. The book will also benefit practitioners whose work involves the development of communication systems using advanced cybernetics, data processing, swarm intelligence and cyber-physical systems; applied mathematicians; and developers of embedded and real-time systems. Moreover, it shares insights into applying concepts from Machine Learning, Cognitive Science, Cybernetics and other areas of artificial intelligence to wireless and mobile systems, control systems and biomedical engineering.

Advanced Research in Applied Artificial Intelligence

Author : He Jiang,Wei Ding,Moonis Ali,Xindong Wu
Publisher : Springer
Page : 848 pages
File Size : 54,8 Mb
Release : 2012-06-30
Category : Computers
ISBN : 9783642310874

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Advanced Research in Applied Artificial Intelligence by He Jiang,Wei Ding,Moonis Ali,Xindong Wu Pdf

This volume constitutes the thoroughly refereed conference proceedings of the 25th International Conference on Industrial Engineering and Other Applications of Applied Intelligend Systems, IEA/AIE 2012, held in Dalian, China, in June 2012. The total of 82 papers selected for the proceedings were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on machine learning methods; cyber-physical system for intelligent transportation applications; AI applications; evolutionary algorithms, combinatorial optimization; modeling and support of cognitive and affective human processes; natural language processing and its applications; social network and its applications; mission-critical applications and case studies of intelligent systems; AI methods; sentiment analysis for asian languages; aspects on cognitive computing and intelligent interaction; spatio-temporal datamining, structured learning and their applications; decision making and knowledge based systems; pattern recognition; agent based systems; decision making techniques and innovative knowledge management; machine learning applications.

Advances in Machine Learning and Data Science

Author : Damodar Reddy Edla,Pawan Lingras,Venkatanareshbabu K.
Publisher : Springer
Page : 380 pages
File Size : 47,9 Mb
Release : 2018-05-16
Category : Technology & Engineering
ISBN : 9789811085697

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Advances in Machine Learning and Data Science by Damodar Reddy Edla,Pawan Lingras,Venkatanareshbabu K. Pdf

The Volume of “Advances in Machine Learning and Data Science - Recent Achievements and Research Directives” constitutes the proceedings of First International Conference on Latest Advances in Machine Learning and Data Science (LAMDA 2017). The 37 regular papers presented in this volume were carefully reviewed and selected from 123 submissions. These days we find many computer programs that exhibit various useful learning methods and commercial applications. Goal of machine learning is to develop computer programs that can learn from experience. Machine learning involves knowledge from various disciplines like, statistics, information theory, artificial intelligence, computational complexity, cognitive science and biology. For problems like handwriting recognition, algorithms that are based on machine learning out perform all other approaches. Both machine learning and data science are interrelated. Data science is an umbrella term to be used for techniques that clean data and extract useful information from data. In field of data science, machine learning algorithms are used frequently to identify valuable knowledge from commercial databases containing records of different industries, financial transactions, medical records, etc. The main objective of this book is to provide an overview on latest advancements in the field of machine learning and data science, with solutions to problems in field of image, video, data and graph processing, pattern recognition, data structuring, data clustering, pattern mining, association rule based approaches, feature extraction techniques, neural networks, bio inspired learning and various machine learning algorithms.