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Computing, Communication and Intelligence
by Srinivas Sethi Bibhudatta Sahoo Deepak Tosh Suvendra Kumar Jayasingh Sourav Kumar BhoiThe International Conference on Cutting-edge Technology in Computing, Communications, and Intelligence- (ICCTCCI-2024) focuses on the application of smart technology and materials for smarter industrial production. The ICCTCCI-2024 provides common platform for presentation of original research findings, exchange of ideas and dissemination of innovative, practical development experiences in different aspects and fields of industry. It also focuses on the event organized with the objective of bringing together academicians, scientists, researchers from industry, research scholars, and students working in different industrial domains and applied applications.
Computing, Communication and Learning: First International Conference, CoCoLe 2022, Warangal, India, October 27–29, 2022, Proceedings (Communications in Computer and Information Science #1729)
by Rajkumar Buyya Kuan-Ching Li Sanjaya Kumar Panda Rashmi Ranjan Rout Ravi Chandra Sadam Bala Venkata Subramaanyam RayanoothalaThis volume constitutes the refereed proceedings of the First International Conference on Computing, Communication and Learning, CoCoLe 2022, held in Warangal, India, in October 2022.The 25 full papers and 1 short paper presented were carefully reviewed and selected from 117 submissions. The CoCoLe conference focuses on three broad areas of computer science and other allied branches, namely computing, communication, and learning.
Computing, Communication and Learning: Second International Conference, CoCoLe 2023, Warangal, India, August 29–31, 2023, Proceedings (Communications in Computer and Information Science #1892)
by Vincenzo Piuri Kuan-Ching Li Manjubala Bisi Sanjaya Kumar Panda Rashmi Ranjan Rout Ravi Chandra SadamThis volume constitutes the refereed proceedings of the Second International Conference on Computing, Communication and Learning, CoCoLe 2023, held in Warangal, India, in August 29–31, 2023.The 25 full papers presented were carefully reviewed and selected from 120 submissions. The CoCoLe conference focuses on Application of Supervised Learning in Computing; Application of Unsupervised Learning in Computing; and Computing in Communication Networks.
Computing, Communication and Learning: Third International Conference, CoCoLe 2024, Warangal, India, September 13–15, 2024, Revised Selected Papers (Communications in Computer and Information Science #2317)
by Rajkumar Buyya Kuan-Ching Li Manjubala Bisi Ashish Ghosh Sanjaya Kumar Panda Rashmi Ranjan Rout Sangharatna GodboleyThis book constitutes the refereed proceedings of the Third International Conference on Computing, Communication and Learning, CoCoLe 2024, held in Warangal, India, in September 2024. The 24 full papers and 10 short papers presented here were carefully reviewed and selected from 149 submissions. These papers have been categorized under the following topical sections: Advancements in AI for Predictive Modeling, Quality Enhancement, and Real-Time Detection Across Various Domains; Machine Learning Advances in Medical Imaging, Agricultural Monitoring, and Multimedia Processing; Advancements in Privacy-Preservation and Intelligent Detection Systems for Federated Learning and Edge Computing.
Computing, Communication and Signal Processing: Proceedings Of Iccasp 2018 (Advances In Intelligent Systems and Computing #810)
by Brijesh Iyer S. L. Nalbalwar Nagendra Prasad PathakThis book highlights cutting-edge research on various aspects of human–computer interaction (HCI). It includes selected research papers presented at the Third International Conference on Computing, Communication and Signal Processing (ICCASP 2018), organized by Dr. Babasaheb Ambedkar Technological University in Lonere-Raigad, India on January 26–27, 2018. It covers pioneering topics in the field of computer, electrical, and electronics engineering, e.g. signal and image processing, RF and microwave engineering, and emerging technologies such as IoT, cloud computing, HCI, and green computing. As such, the book offers a valuable guide for all scientists, engineers and research students in the areas of engineering and technology.
Computing, Control, Information and Education Engineering: Proceedings of the 2015 Second International Conference on Computer, Intelligent and Education Technology (CICET 2015), April 11-12, 2015, Guilin, P.R. China
by Wen-Pei Sung Hsiang-Chuan Liu Wenli-YaoThis proceedings set contains selected Computer, Information and Education Technology related papers from the 2015 International Conference on Computer, Intelligent Computing and Education Technology (CICET 2015), to be held April 11-12, 2015 in Guilin, P.R. China. The proceedings aims to provide a platform for researchers, engineers and academics
Computing, Internet of Things and Data Analytics: Selected papers from the International Conference on Computing, IoT and Data Analytics (ICCIDA) (Studies in Computational Intelligence #1145)
by Fausto Pedro García Márquez Akhtar Jamil Alaa Ali Hameed Süleyman Eken Isaac Segovia RamirezThis book covers selected papers presented at the 2nd International Conference on Computing, IoT and Data Analytics (ICCIDA) in 2022 organized by Universidad de Castilla - La Mancha, Spain, August 11-12, 2023. It highlights some of the latest research advances and cutting-edge analyses of real-world problems related to Computing, IoT and Data Analytics and their applications in various domains. This includes state of the art models and methods used on benchmark datasets.
Computing: A Concise History (The MIT Press Essential Knowledge series)
by Paul E. CeruzziA compact and accessible history, from punch cards and calculators to UNIVAC and ENIAC, the personal computer, Silicon Valley, and the Internet.The history of computing could be told as the story of hardware and software, or the story of the Internet, or the story of “smart” hand-held devices, with subplots involving IBM, Microsoft, Apple, Facebook, and Twitter. In this concise and accessible account of the invention and development of digital technology, computer historian Paul Ceruzzi offers a broader and more useful perspective. He identifies four major threads that run throughout all of computing's technological development: digitization—the coding of information, computation, and control in binary form, ones and zeros; the convergence of multiple streams of techniques, devices, and machines, yielding more than the sum of their parts; the steady advance of electronic technology, as characterized famously by “Moore's Law”; and the human-machine interface.Ceruzzi guides us through computing history, telling how a Bell Labs mathematician coined the word “digital” in 1942 (to describe a high-speed method of calculating used in anti-aircraft devices), and recounting the development of the punch card (for use in the 1890 U.S. Census). He describes the ENIAC, built for scientific and military applications; the UNIVAC, the first general purpose computer; and ARPANET, the Internet's precursor. Ceruzzi's account traces the world-changing evolution of the computer from a room-size ensemble of machinery to a “minicomputer” to a desktop computer to a pocket-sized smart phone. He describes the development of the silicon chip, which could store ever-increasing amounts of data and enabled ever-decreasing device size. He visits that hotbed of innovation, Silicon Valley, and brings the story up to the present with the Internet, the World Wide Web, and social networking.
Computing: A Historical and Technical Perspective
by Yoshihide Igarashi Tom Altman Mariko Funada Barbara KamiyamaExploring a vast array of topics related to computation, Computing: A Historical and Technical Perspective covers the historical and technical foundation of ancient and modern-day computing. The book starts with the earliest references to counting by humans, introduces various number systems, and discusses mathematics in early civilizations. It gui
Concentration of Measure for the Analysis of Randomized Algorithms
by Devdatt P. Dubhashi Alessandro PanconesiRandomized algorithms have become a central part of the algorithms curriculum, based on their increasingly widespread use in modern applications. This book presents a coherent and unified treatment of probabilistic techniques for obtaining high probability estimates on the performance of randomized algorithms. It covers the basic toolkit from the Chernoff–Hoeffding bounds to more sophisticated techniques like martingales and isoperimetric inequalities, as well as some recent developments like Talagrand's inequality, transportation cost inequalities and log-Sobolev inequalities. Along the way, variations on the basic theme are examined, such as Chernoff–Hoeffding bounds in dependent settings. The authors emphasise comparative study of the different methods, highlighting respective strengths and weaknesses in concrete example applications. The exposition is tailored to discrete settings sufficient for the analysis of algorithms, avoiding unnecessary measure-theoretic details, thus making the book accessible to computer scientists as well as probabilists and discrete mathematicians.
Concept Drift in Large Language Models: Adapting the Conversation
by Ketan Sanjay DesaleThis book explores the application of the complex relationship between concept drift and cutting-edge large language models to address the problems and opportunities in navigating changing data landscapes. It discusses the theoretical basis of concept drift and its consequences for large language models, particularly the transformative power of cutting-edge models such as GPT-3.5 and GPT-4. It offers real-world case studies to observe firsthand how concept drift influences the performance of language models in a variety of circumstances, delivering valuable lessons learnt and actionable takeaways. The book is designed for professionals, AI practitioners, and scholars, focused on natural language processing, machine learning, and artificial intelligence.• Examines concept drift in AI, particularly its impact on large language models• Analyses how concept drift affects large language models and its theoretical and practical consequences• Covers detection methods and practical implementation challenges in language models• Showcases examples of concept drift in GPT models and lessons learnt from their performance• Identifies future research avenues and recommendations for practitioners tackling concept drift in large language models
Concept Generation for Design Creativity: A Systematized Theory and Methodology
by Yukari Nagai Toshiharu TauraThe concept generation process seems like an intuitional thought: difficult to capture and perform, although everyone is capable of it. It is not an analytical process but a synthetic process which has yet to be clarified. Furthermore, new research methods for investigating the concept generation process--a very difficult task since the concept generation process is driven by inner feelings deeply etched in the mind--are necessary to establish its theory and methodology. Concept Generation for Design Creativity - A Systematized Theory and Methodology presents the concept generation process both theoretically and methodologically. Theoretically, the concept generation process is discussed by comparing metaphor, abduction, and General Design Theory from the notions of similarities and dissimilarities. Analogy, blending, and integration by thematic relation have been explained methodologically. So far, these theories and methods have been discussed independently, and the relations among them have not been clarified. Two newly developed research methods to investigate the concept generation process are clearly explained: the explanation-based protocol analysis and constructive simulation. By reading Concept Generation for Design Creativity - A Systematized Theory and Methodology, students, researchers and lecturers in design disciplines (including engineering design, industrial design, software design, CHI, design education, and cognitive science ) can obtain a clear picture of the advanced research findings and the outline of the theories and methods for concept generation. Furthermore, readers are expected to achieve the competence to generate new concepts.
Concepts In Enterprise Resource Planning, Fourth Edition
by Bret Wagner Ellen MonkLearn how to master and maximize enterprise resource planning (ERP) software -- which continues to grow in importance in business today -- with Monk/Wagner's CONCEPTS IN ENTERPRISE RESOURCE PLANNING, 4E. Readers discover how to use ERP tools to increase growth and productivity while reviewing how to effectively combine an organization's numerous functions into one comprehensive, integrated system. CONCEPTS IN ENTERPRISE RESOURCE PLANNING, 4E reflects the latest trends and updates in ERP software as well as introduces the basic functional areas of business and their relationships. Readers see how see how integrated information systems help organizations improve business process and provide managers with accurate, consistent, and current data for making informed strategic decisions.
Concepts and Case Studies in Threat Management
by Stephen W. Weston J.D. Frederick S. CalhounProfessionalization has come to the field of threat management. It has developed a systematic theory unique to the field, recognized authorities have emerged, and it is finding its own ethical code of conduct. It is also beginning to grow its own culture, complete with a vocabulary of its own. Although the field has a way to go, it is well along th
Concepts and Design Innovations addressing the Digital Transformation of Data Spaces and Marketplaces: i3-MARKET Book Series - Part I: A Vision to the future of Data-Driven Economy (River Publishers Series in Computing and Information Science and Technology)
by Martín Serrano Achille Zappa Waheed Ashraf Pedro Maló Márcio Mateus Edgar Fries Iván Martínez Alessandro Amicone Justina Bieliauskaite Marina CugurraIn the first part of the i3-MARKET Book series we begin by discussing the principles of the modern data economy that makes readers more aware about the value of the data that is produced everyday by individuals and also in a collective manner, i.e. in an industrial manufacturing plant, a smart city full of sensors generating data about the behaviours of the city and their inhabitants and/or the wellbeing and healthcare levels of a region or specific locations. Data, and the use of it, is one of the most disruptive areas in today’s global economy, particularly with the value that large corporations have embedded in their solutions and products because of their use of data from every individual.
Concepts and Methods for a Librarian of the Web (Studies in Big Data #62)
by Mario KubekThe World Wide Web can be considered a huge library that in consequence needs a capable librarian responsible for the classification and retrieval of documents as well as the mediation between library resources and users. Based on this idea, the concept of the “Librarian of the Web” is introduced which comprises novel, librarian-inspired methods and technical solutions to decentrally search for text documents in the web using peer-to-peer technology.The concept’s implementation in the form of an interactive peer-to-peer client, called “WebEngine”, is elaborated on in detail. This software extends and interconnects common web servers creating a fully integrated, decentralised and self-organising web search system on top of the existing web structure. Thus, the web is turned into its own powerful search engine without the need for any central authority.This book is intended for researchers and practitioners having a solid background in the fields of Information Retrieval and Web Mining.
Concepts and Real-Time Applications of Deep Learning (EAI/Springer Innovations in Communication and Computing)
by Smriti Srivastava Manju Khari Gopal Chaudhary Ruben Gonzalez Crespo Parul AroraThis book provides readers with a comprehensive and recent exposition in deep learning and its multidisciplinary applications, with a concentration on advances of deep learning architectures. The book discusses various artificial intelligence (AI) techniques based on deep learning architecture with applications in natural language processing, semantic knowledge, forecasting and many more. The authors shed light on various applications that can benefit from the use of deep learning in pattern recognition, person re-identification in surveillance videos, action recognition in videos, image and video captioning. The book also highlights how deep learning concepts can be interwoven with more modern concepts to yield applications in multidisciplinary fields.Presents a comprehensive look at deep learning and its multidisciplinary applications, concentrating on advances of deep learning architectures;Includes a survey of deep learning problems and solutions, identifying the main open issues, innovations and latest technologies;Shows industrial deep learning in practice with examples/cases, efforts, challenges, and strategic approaches.
Concepts and Semantics of Programming Languages 1: A Semantical Approach with OCaml and Python
by Therese Hardin Mathieu Jaume Francois Pessaux Veronique Viguie Donzeau-GougeThis book – the first of two volumes – explores the syntactical constructs of the most common programming languages, and sheds a mathematical light on their semantics, while also providing an accurate presentation of the material aspects that interfere with coding. Concepts and Semantics of Programming Languages 1 is dedicated to functional and imperative features. Included is the formal study of the semantics of typing and execution; their acquisition is facilitated by implementation into OCaml and Python, as well as by worked examples. Data representation is considered in detail: endianness, pointers, memory management, union types and pattern-matching, etc., with examples in OCaml, C and C++. The second volume introduces a specific model for studying modular and object features and uses this model to present Ada and OCaml modules, and subsequently Java, C++, OCaml and Python classes and objects. This book is intended not only for computer science students and teachers but also seasoned programmers, who will find a guide to reading reference manuals and the foundations of program verification.
Concepts and Semantics of Programming Languages 2: Modular and Object-oriented Constructs with OCaml, Python, C++, Ada and Java
by Therese Hardin Mathieu Jaume Veronique Viguie Donzeau-Gouge François PessauxThis book – composed of two volumes – explores the syntactical constructs of the most common programming languages, and sheds a mathematical light on their semantics, providing also an accurate presentation of the material aspects that interfere with coding.Concepts and Semantics of Programming Languages 2 presents an original semantic model, collectively taking into account all of the constructs and operations of modules and classes: visibility, import, export, delayed definitions, parameterization by types and values, extensions, etc. The model serves for the study of Ada and OCaml modules, as well as C header files. It can be deployed to model object and class features, and is thus used to describe Java, C++, OCaml and Python classes.This book is intended not only for computer science students and teachers but also seasoned programmers, who will find a guide to reading reference manuals and the foundations of program verification.
Concepts in Action: Representation, Learning, and Application (Language, Cognition, and Mind #9)
by Lucas Bechberger Kai-Uwe Kühnberger Mingya LiuThis open access book is a timely contribution in presenting recent issues, approaches, and results that are not only central to the highly interdisciplinary field of concept research but also particularly important to newly emergent paradigms and challenges. The contributors present a unique, holistic picture for the understanding and use of concepts from a wide range of fields including cognitive science, linguistics, philosophy, psychology, artificial intelligence, and computer science. The chapters focus on three distinct points of view that lie at the core of concept research: representation, learning, and application. The contributions present a combination of theoretical, experimental, computational, and applied methods that appeal to students and researchers working in these fields.
Concepts in Smart Societies: Next-generation of Human Resources and Technologies
by Antonella Petrillo Chaudhery Mustansar Hussain Shahid Ul IslamWe live in a society driven by rapid and unpredictable changes. The concept of the “fourth industrial revolution” was introduced less than ten years ago - the more aware and reality oriented “smart factories”. By this we mean novelties in production technologies, enabling IT services and greater attention to energy consumption. Today, we are discussing the fifth stage in the evolution of society, the advent of the 5.0 company. This book outlines strategic lines and suggests future directions for the development of the "super smart society" which takes responsibility and ensures sustainability by adhering to new smart technologies and skills. The book is intended for a broad audience working in the fields of material science and engineering, energy, environment, etc. It is an invaluable reference source for researchers, academicians, students, industrial institutions, government and independent institutes, individual research groups and scientists working in the field of industrial applications of smart manufacturing design.
Concepts of Artificial Intelligence and its Application in Modern Healthcare Systems
by Deepshikha Agarwal Khushboo Tripathi Kumar KrishenThis reference text presents the usage of artificial intelligence in healthcare and discusses the challenges and solutions of using advanced techniques like wearable technologies and image processing in the sector. Features: Focuses on the use of artificial intelligence (AI) in healthcare with issues, applications, and prospects Presents the application of artificial intelligence in medical imaging, fractionalization of early lung tumour detection using a low intricacy approach, etc. Discusses an artificial intelligence perspective on wearable technology Analyses cardiac dynamics and assessment of arrhythmia by classifying heartbeat using electrocardiogram (ECG) Elaborates machine learning models for early diagnosis of depressive mental affliction This book serves as a reference for students and researchers analyzing healthcare data. It can also be used by graduate and post graduate students as an elective course.
Concepts of Programming Languages (Eleventh Edition)
by Robert W. SebestaFor courses in computer programming. Concepts of Computer Programming Languages introduces students to the fundamental concepts of computer programming languages and provides them with the tools necessary to evaluate contemporary and future languages. An in-depth discussion of programming language structures, such as syntax and lexical and syntactic analysis, also prepares readers to study compiler design. The Eleventh Edition maintains an up-to-date discussion on the topic with the removal of outdated languages such as Ada and Fortran. The addition of relevant new topics and examples such as reflection and exception handling in Python and Ruby add to the currency of the text. Through a critical analysis of design issues of various program languages, Concepts of Computer Programming Languages teaches programmers the essential differences between computing with specific languages.
Concepts of Soft Computing: Fuzzy and ANN with Programming
by Snehashish Chakraverty Deepti Moyi Sahoo Nisha Rani MahatoThis book discusses soft computing, which provides an efficient platform to deal with imprecision, uncertainty, vagueness and approximation in order to attain robustness and reliable computing. It explores two major concepts of soft computing: fuzzy set theory and neural networks, which relate to uncertainty handling and machine learning techniques respectively. Generally, fuzzy sets are considered as vague or uncertain sets having membership function lying between 0 and 1, and ANN is a type of artificial intelligence that attempts to imitate the way a human brain works by configuring specific applications, for instance pattern recognition or data classification, through learning processes.The book also presents C/MATLAB programming codes related to the basics of fuzzy set, interval arithmetic and ANN in a concise, practical and adaptable manner along, with simple examples and self-validation unsolved practice questions in few cases