- Table View
- List View
Cognitive Aspects of Virtual Reality (Studies in Big Data #156)
by Péter Baranyi Ildikó Horváth Borbála Berki Anna Sudár Ádám CsapóThis book outlines a range of user experiments, providing comprehensive evaluations that underline the rationale behind implementing collaborative 3D virtual offices in corporate settings and 3D classrooms in educational institutions. In this book, radically new scientific approaches are taken for studying user effectiveness in the realm of 3D graphical interfaces. The emergence of VR is seen in the book as a pivotal moment in the evolution of information technology, marking a shift from the era of DOS and Windows to immersive digital spaces. Through extensive research and experimentation, it is convincingly demonstrated that integrating 2D user interfaces, such as windows, images, and 2D widgets, into 3D digital environments significantly enhances user effectiveness in terms of online collaboration, memory, recall, and comprehension of complex workflows. Moreover, valuable advice and design principles are offered to guide the creation of such working 3D digital environments.
Cognitive Behavior and Human Computer Interaction Based on Machine Learning Algorithms
by Sandeep Kumar Rohit Raja Shilpa Rani Shrikant TiwariThe book focuses on the way that human beings and computers interact to ever increasing levels of both complexity and simplicity. Assuming very little knowledge, the book provides content on theory, cognition, design, evaluation, and user diversity. It aims to explain the underlying causes of the cognitive, social and organizational problems typically are devoted to descriptions of rehabilitation methods for specific cognitive processes. This book describes new algorithms for modeling accessible to cognitive scientists of all varieties. The book is inherently interdisciplinary, publishing original research in the fields of computing, engineering, artificial intelligence, psychology, linguistics, and social and system organization, as applied to the design, implementation, application, analysis, and evaluation of interactive systems. Machine learning research has been being carried out for a decade at international level in various applications. The new learning approach is mostly used in machine learning based cognitive applications. This will give direction for future research to scientists and researchers working in neuroscience, neuro-imaging, machine learning based brain mapping and modeling etc.
Cognitive Cities: Second International Conference, IC3 2019, Kyoto, Japan, September 3–6, 2019, Revised Selected Papers (Communications in Computer and Information Science #1227)
by Hiroaki Ogata Jian Shen Yao-Chung Chang Yu-Sheng SuThis book constitutes refereed proceeding of the Second International Cognitive Cities Conference, IC3 2019, held in Kyoto, Japan, in September 2019. The 37 full papers and 46 short papers were thoroughly reviewed and selected from 206 submissions. The papers are organized according to the topical sections on cognitive city for special needs; cognitive city theory, modeling and simulation; XR and educational innovations for cognitive city; educational technology and strategy in cognitive city; safety, security and privacy in cognitive city; artificial intelligence theory and technology related to cognitive city; Internet of Things for cognitive city; business application and management for cognitive city; big data for cognitive city; engineering technology and applied science for cognitive city; maker, CT and STEAM education for cognitive city.
Cognitive Computation and Systems: First International Conference, ICCCS 2022, Beijing, China, December 17–18, 2022, Revised Selected Papers (Communications in Computer and Information Science #1732)
by Huaping Liu Fuchun Sun Jianmin Li Zhongyi ChuThis volume constitutes selected papers presented during the First International Conference on Cognitive Computation and Systems, ICCCS 2022, held in Beijing, China, in October 2022.The 31 papers were thoroughly reviewed and selected from the 75 submissions. The papers are organized in topical sections on computer vision; decision making and cognitive computation; robot and autonomous vehicle.
Cognitive Computation and Systems: Second International Conference, ICCCS 2023, Urumqi, China, October 14–15, 2023, Revised Selected Papers (Communications in Computer and Information Science #2029)
by Fuchun Sun Jianmin LiThis book constitutes the refereed proceedings of the Second International Conference on Cognitive Computation and Systems, ICCCS 2023, held in Urumqi, China, October 14–15, 2023.The 26 full papers included in the book were carefully reviewed and selected from 68 submissions. ICCCS aims to bring together experts from different expertise areas to discuss the state-of-the-art in cognitive computing and intelligent systems, and to present new research results and perspectives on future development. They were organized in topical sections as follows: Perception and learning and decision making and systems.
Cognitive Computing - ICCC 2024: 8th International Conference, Held as Part of the Services Conference Federation, SCF 2024, Bangkok, Thailand, November 16–19, 2024, Proceedings (Lecture Notes in Computer Science #15426)
by Liang-Jie Zhang Ruifeng Xu Huan Chen Yirui WuThis book constitutes the refereed proceedings of the 8th International Conference on Cognitive Computing, ICCC 2024, Held as Part of the Services Conference Federation, SCF 2024, held in Bangkok, Thailand, during November 16–19, 2024. The 6 full papers and 2 short papers included in this book were carefully reviewed and selected from 10 submissions. They were organized in topical sections as follows: research track; application track; and short paper track.
Cognitive Computing Models in Communication Systems (Smart and Sustainable Intelligent Systems)
by S. B. Goyal Budati Anil Kumar Sardar M.N. IslamCOGNITIVE COMPUTING MODELS IN COMMUNICATION SYSTEMS A concise book on the latest research focusing on problems and challenges in the areas of data transmission technology, computer algorithms, AI-based devices, computer technology, and their solutions. The book provides a comprehensive overview of state-of-the-art research work on cognitive models in communication systems and computing techniques. It also bridges the gap between various communication systems and solutions by providing the current models and computing techniques, their applications, the strengths and limitations of the existing methods, and the future directions in this area. The contributors showcase their latest research work focusing on the issues, challenges, and solutions in the field of data transmission techniques, computational algorithms, artificial intelligence (AI)-based devices, and computing techniques. Readers will find in this succinctly written and unique book: Topics covering the applications of advanced cognitive devices, models, architecture, and techniques. A range of case studies and applications that will provide readers with the tools to apply cutting-edge models and algorithms. In-depth information about new cognitive computing models and conceptual frameworks and their implementation. Audience The book is designed for researchers and electronics engineers, computer science engineers, industrial engineers, and mechanical engineers (both in academia and industry) working in the fields of machine learning, cognitive computing, mobile communication, and wireless network system.
Cognitive Computing Recipes: Artificial Intelligence Solutions Using Microsoft Cognitive Services and TensorFlow
by Adnan Masood Adnan HashmiSolve 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 APIsApply 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 scaleWho This Book Is ForSoftware engineers and enterprise architects who wish to understand machine learning and deep learning by building applications and solving real-world business problems.
Cognitive Computing Using Green Technologies: Modeling Techniques and Applications (Green Engineering and Technology)
by Asis Kumar TripathyCognitive Computing is a new topic which aims to simulate human thought processes using computers that self-learn through data mining, pattern recognition, and natural language processing. This book focuses on the applications of Cognitive Computing in areas like Robotics, Blockchain, Deep Learning, and Wireless Technologies. This book covers the basics of Green Computing, discusses Cognitive Science methodologies in Robotics, Computer Science, Wireless Networks, and Deep Learning. It goes on to present empirical data and research techniques, modelling techniques and offers a data-driven approach to decision making and problem solving. This book is written for researchers, academicians, undergraduate and graduate students, and industry persons who are working on current applications of Cognitive Computing.
Cognitive Computing and Big Data Analytics
by Marcia Kaufman Hurwitz Adrian BowlesA 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 torealityLearn the elements that make up a cognitive computingsystemUnderstand the groundbreaking hardware and softwaretechnologies behind cognitive computingLearn to evaluate your own application portfolio to find thebest candidates for pilot projectsLeverage cognitive computing capabilities to transform theorganizationCognitive 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.
Cognitive Computing and Cyber Physical Systems: 4th EAI International Conference, IC4S 2023, Bhimavaram, Andhra Pradesh, India, August 4-6, 2023, Proceedings, Part II (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #537)
by Nishu Gupta Prakash Pareek M. J. C. S. ReisThis 2-volume set constitutes the post-conference proceedings of the 4th International Conference on Cognitive Computing and Cyber Physical Systems, IC4S 2023, held in Bhimavaram, Andhra Pradesh, India, during August 4-6, 2023. The theme of IC4S 2023 was: cognitive approaches with machine learning and advanced communications. The 70 full papers were carefully reviewed and selected from 165 submissions. The papers are clustered in thematical issues as follows: machine learning and its applications; cyber security and signal processing; image processing; smart power systems; smart city eco-system and communications.
Cognitive Computing and Cyber Physical Systems: 4th EAI International Conference, IC4S 2023, Bhimavaram, Andhra Pradesh, India, August 4-6, 2023, Proceedings, Part I (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #536)
by Nishu Gupta Prakash Pareek M. J. C. S. ReisThis 2-volume set constitutes the post-conference proceedings of the 4th EAI International Conference on Cognitive Computing and Cyber Physical Systems, IC4S 2023, Bhimavaram, Andhra Pradesh, India, during August 4-6, 2023. The theme of IC4S 2023 was: cognitive approaches with machine learning and advanced communications. The 70 full papers were carefully reviewed and selected from 165 submissions. The papers are clustered in thematical issues as follows: machine learning and its applications; cyber security and signal processing; image processing; smart power systems; smart city eco-system and communications.
Cognitive Computing and Cyber Physical Systems: 5th EAI International Conference, IC4S 2024, Bhimavaram, India, April 5–7, 2024, Proceedings, Part II (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #598)
by Nishu Gupta Sumita Mishra Prakash Pareek Manuel J. C. S. ReisThis book constitutes the refereed proceedings of the 5th EAI International Conference on Cognitive Computing and Cyber Physical Systems, IC4S 2024, held in Bhimavaram, India, during April 5-7, 2024. The 102 full papers presented were carefully reviewed and selected from 266 submissions. The proceedings focus on Cyber-physical systems, cognitive computing, Internet of Things, Smart grid, Security and trust management of CPS, Industrial IoT, Autonomous systems, Intelligent Transportation, Human-Machine Interaction, Distributed robotics, Sensor-based communication.
Cognitive Computing and Cyber Physical Systems: 5th EAI International Conference, IC4S 2024, Bhimavaram, India, April 5–7, 2024, Proceedings, Part III (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #599)
by Nishu Gupta Sumita Mishra Prakash Pareek Manuel J. C. S. ReisThis book constitutes the refereed proceedings of the 5th EAI International Conference on Cognitive Computing and Cyber Physical Systems, IC4S 2024, held in Bhimavaram, India, during April 5-7, 2024. The 102 full papers presented were carefully reviewed and selected from 266 submissions. The proceedings focus on Cyber-physical systems, cognitive computing, Internet of Things, Smart grid, Security and trust management of CPS, Industrial IoT, Autonomous systems, Intelligent Transportation, Human-Machine Interaction, Distributed robotics, Sensor-based communication.
Cognitive Computing and Cyber Physical Systems: 5th EAI International Conference, IC4S 2024, Bhimavaram, India, April 5–7, 2024, Proceedings, Part-I (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #597)
by Nishu Gupta Sumita Mishra Prakash Pareek Manuel J. C. S. ReisThis book constitutes the refereed proceedings of the 5th EAI International Conference on Cognitive Computing and Cyber Physical Systems, IC4S 2024, held in Bhimavaram, India, during April 5-7, 2024. The 102 full papers presented were carefully reviewed and selected from 266 submissions. The proceedings focus on Cyber-physical systems, cognitive computing, Internet of Things, Smart grid, Security and trust management of CPS, Industrial IoT, Autonomous systems, Intelligent Transportation, Human-Machine Interaction, Distributed robotics, Sensor-based communication.
Cognitive Computing and Cyber Physical Systems: Third EAI International Conference, IC4S 2022, Virtual Event, November 26-27, 2022, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #472)
by Nishu Gupta Prakash Pareek M. J. C. S. ReisThis proceedings constitutes the post-conference proceedings of the 3rd EAI International Conference on Cognitive Computing and Cyber Physical Systems, IC4S 2022, held at Vishnu Institute of Technology, Bhimavaram in Andhra Pradesh, India, in November 26-27, 2022. The theme of IC4S 2022 was: cognitive computing approaches with data mining and machine learning techniques. The 22 full papers were carefully reviewed and selected from 88 submissions. The papers are clustered in thematical issues as follows: machine learning and its applications; cyber security and networking; image processing; IoT applications; smart city eco-system and communications.
Cognitive Computing and Information Processing: 5th International Conference, CCIP 2023, Mysuru, India, December 15–16, 2023, Proceedings (Communications in Computer and Information Science #2044)
by V. N. Manjunath Aradhya Mufti Mahmud S. Srinath B. S. Mahanand R. K. BharathiThis book constitutes the refereed proceedings of the 5th International Conference on Cognitive Computing and Information Processing, CCIP 2023, held in Mysuru, India, in December 2023. The 14 revised full papers presented were carefully reviewed and selected from 127 submissions. The papers are organized in the following topical sections: Communications, Video analytics, Cognitive computing and its applications, and Image analysis.
Cognitive Computing and Information Processing: Third International Conference, Ccip 2017, Bengaluru, India, December 15-16, 2017, Revised Selected Papers (Communications In Computer And Information Science #801)
by T. N. Nagabhushan V. N. Manjunath Aradhya Prabhudev Jagadeesh Seema Shukla Chayadevi M. L.This book constitutes the refereed proceedings of the Third International Conference on Cognitive Computing and Information Processing, CCIP 2017, held in Bengaluru, India, in December 2017. The 43 revised full papers presented were carefully reviewed and selected from 130 submissions. The papers are organized in topical sections on cognitive computing in medical information processing; cognitive computing and its applications; cognitive computing in video analytics.
Cognitive Computing for Big Data Systems Over IoT: Frameworks, Tools and Applications (Lecture Notes on Data Engineering and Communications Technologies #14)
by Arun Kumar Sangaiah Arunkumar Thangavelu Venkatesan Meenakshi SundaramThis book brings a high level of fluidity to analytics and addresses recent trends, innovative ideas, challenges and cognitive computing solutions in big data and the Internet of Things (IoT). It explores domain knowledge, data science reasoning and cognitive methods in the context of the IoT, extending current data science approaches by incorporating insights from experts as well as a notion of artificial intelligence, and performing inferences on the knowledge The book provides a comprehensive overview of the constituent paradigms underlying cognitive computing methods, which illustrate the increased focus on big data in IoT problems as they evolve. It includes novel, in-depth fundamental research contributions from a methodological/application in data science accomplishing sustainable solution for the future perspective. Mainly focusing on the design of the best cognitive embedded data science technologies to process and analyze the large amount of data collected through the IoT, and aid better decision making, the book discusses adapting decision-making approaches under cognitive computing paradigms to demonstrate how the proposed procedures as well as big data and IoT problems can be handled in practice. This book is a valuable resource for scientists, professionals, researchers, and academicians dealing with the new challenges and advances in the specific areas of cognitive computing and data science approaches.
Cognitive Computing for Internet of Medical Things
by A. Prasanth, D. Lakshmi, Rajesh Kumar Dhanaraj, Balamurugan Balusamy, P.C. SherimonCognitive Computing for Internet of Medical Things (IoMT) offers a complete assessment of the present scenario, role, challenges, technologies, and impact of IoMT-enabled smart healthcare systems. It contains chapters discussing various biomedical applications under the umbrella of the IoMT. Key Features Exploits the different prospects of cognitive computing techniques for the IoMT and smart healthcare applications Addresses the significance of IoMT and cognitive computing in the evolution of intelligent medical systems for biomedical applications Describes the different computing techniques of cognitive intelligent systems from a practical point of view: solving common life problems Explores the technologies and tools to utilize IoMT for the transformation and growth of healthcare systems Focuses on the economic, social, and environmental impact of IoMT-enabled smart healthcare systems This book is primarily aimed at graduates, researchers and academicians working in the area of development of the application of the of the application of the IoT in smart healthcare. Industry professionals will also find this book helpful.
Cognitive Computing for Machine Thinking (Innovations in Sustainable Technologies and Computing)
by Parikshit N. Mahalle Gitanjali R. Shinde Makarand R. VelankarThis book presents cognitive modeling along with the new paradigm machine thinking to enhance existing AI power and address its current limitations. This book provides overview of natural and artificial intelligence along with the computing models used currently. The need of advancing the current models is presented with suitable examples. The business case studies presented in different domains provide possible use of augmented intelligence with the proposed machine thinking paradigm. This book is targeted at academicians, researchers, students, professionals who belong to disciplines which involves intelligent computing and modelling human thinking. It provides possible multidisciplinary research directions including social psychology, artificial intelligence, HCI, cognition for applications in various domains.
Cognitive Computing for Risk Management (EAI/Springer Innovations in Communication and Computing)
by Prasant Kumar Pattnaik Pradeep Kumar Mallick Zdzislaw Polkowski Sasmita Rani Samanta Jnyana Ranjan MohantyThis book presents applications of cognitive management and cognitive computing in the fields of risk management, cognitive fraud detection, and in business decision making. The book provides insights on how cognitive management and cognitive computing enable businesses to quickly augment human intelligence and help humans perform tasks better. For example, the authors describe how by analyzing patterns in big data, small data, and "dark data," cognitive technologies can detect human behavior and suggest options for personalizing of products and services. The book studies companies in industries such as automotive, airline, health care, retail, wealth management, and litigation who have adopted these approaches.Presents applications of cognitive computing and cognitive management used in augmenting and empowering business decisions;Shows how to employ the Internet of Things in businesses using a cognitive management framework;Discusses technical aspects and alternatives to traditional tools, algorithms, and methodologies in cognitive computing.
Cognitive Computing for Smart Automotive Transportation: Technology and Applications (Chapman & Hall/CRC Internet of Things)
by Sheldon S. Williamson G. R. Kanagachidambaresan Archana Naganathan Niresh JayarajanThis reference book explores the integration of cognitive computing technologies in the automotive industry to enhance smart transportation systems. It focuses on how AI, machine learning, and data analytics can improve vehicle automation, safety, and efficiency. Automation can support driverless vehicle transportation and bridge the gap between manual control and fully automated navigation systems. The text introduces a discussion on numerous applications of cognitive computing in smart transportation, motion planning, situation awareness, dynamic driving, adaptive behavior, human intent measurement, and predictive analysis.Key Features:• Discusses basic concepts and architecture of cognitive computing for vehicular systems.• Presents technologies to measure human intent for vehicle safety, including emergency management systems (EMS).• Covers the perception and localization processes in autonomous driving through LiDAR, GPS, and Stereo vision data with critical decision‑making and simulation results.• Elucidates the application of motion planning for smart transportation.• Covers visual perception technologies for advanced driver assistance systems (ADAS) through deep learning.The text is primarily written for graduate students, academic researchers, and professionals in the fields of computer science, electrical engineering, automotive engineering, and civil engineering.
Cognitive Computing in Human Cognition: Perspectives and Applications (Learning and Analytics in Intelligent Systems #17)
by Valentina Emilia Balas Prasant Kumar Pattnaik Pradeep Kumar Mallick Amiya Ranjan PandaThis edited book designs the Cognitive Computing in Human Cognition to analyze to improve the efficiency of decision making by cognitive intelligence. The book is also intended to attract the audience who work in brain computing, deep learning, transportation, and solar cell energy. Due to this in the recent era, smart methods with human touch called as human cognition is adopted by many researchers in the field of information technology with the Cognitive Computing.
Cognitive Computing of Visual and Auditory Information (Reports of China’s Basic Research)
by Nanning ZhengThis book discusses fruitful achievements in basic cognitive theories, processing technologies of visual and auditory information and research platforms. This book also can provide strong support for the research and development of artificial intelligence of major national projects, playing important roles in national application systems such as unmanned systems and smart cities. In addition, it has laid a solid foundation for the development of artificial intelligence in China. Intended for researchers who have been following the evolution of and trends in the artificial intelligence, the book is also a valuable reference resource for practitioners and scholars at various levels and in various fields.