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| computer science applications in real life: Artificial Neural Networks in Real-life Applications Juan Ramon Rabunal, Julian Dorado, 2006-01-01 This book offers an outlook of the most recent works at the field of the Artificial Neural Networks (ANN), including theoretical developments and applications of systems using intelligent characteristics for adaptability--Provided by publisher. |
| computer science applications in real life: Fundamental Concepts in Computer Science Erol Gelenbe, 2009 This book presents fundamental contributions to computer science as written and recounted by those who made the contributions themselves. As such, it is a highly original approach to a OC living historyOCO of the field of computer science. The scope of the book is broad in that it covers all aspects of computer science, going from the theory of computation, the theory of programming, and the theory of computer system performance, all the way to computer hardware and to major numerical applications of computers. |
| computer science applications in real life: Real-World Algorithms Panos Louridas, 2017-03-17 An introduction to algorithms for readers with no background in advanced mathematics or computer science, emphasizing examples and real-world problems. Algorithms are what we do in order not to have to do something. Algorithms consist of instructions to carry out tasks—usually dull, repetitive ones. Starting from simple building blocks, computer algorithms enable machines to recognize and produce speech, translate texts, categorize and summarize documents, describe images, and predict the weather. A task that would take hours can be completed in virtually no time by using a few lines of code in a modern scripting program. This book offers an introduction to algorithms through the real-world problems they solve. The algorithms are presented in pseudocode and can readily be implemented in a computer language. The book presents algorithms simply and accessibly, without overwhelming readers or insulting their intelligence. Readers should be comfortable with mathematical fundamentals and have a basic understanding of how computers work; all other necessary concepts are explained in the text. After presenting background in pseudocode conventions, basic terminology, and data structures, chapters cover compression, cryptography, graphs, searching and sorting, hashing, classification, strings, and chance. Each chapter describes real problems and then presents algorithms to solve them. Examples illustrate the wide range of applications, including shortest paths as a solution to paragraph line breaks, strongest paths in elections systems, hashes for song recognition, voting power Monte Carlo methods, and entropy for machine learning. Real-World Algorithms can be used by students in disciplines from economics to applied sciences. Computer science majors can read it before using a more technical text. |
| computer science applications in real life: Combinatorics and Graph Theory John Harris, Jeffry L. Hirst, Michael Mossinghoff, 2009-04-03 There are certain rules that one must abide by in order to create a successful sequel. — Randy Meeks, from the trailer to Scream 2 While we may not follow the precise rules that Mr. Meeks had in mind for s- cessful sequels, we have made a number of changes to the text in this second edition. In the new edition, we continue to introduce new topics with concrete - amples, we provide complete proofs of almost every result, and we preserve the book’sfriendlystyle andlivelypresentation,interspersingthetextwith occasional jokes and quotations. The rst two chapters, on graph theory and combinatorics, remain largely independent, and may be covered in either order. Chapter 3, on in nite combinatorics and graphs, may also be studied independently, although many readers will want to investigate trees, matchings, and Ramsey theory for nite sets before exploring these topics for in nite sets in the third chapter. Like the rst edition, this text is aimed at upper-division undergraduate students in mathematics, though others will nd much of interest as well. It assumes only familiarity with basic proof techniques, and some experience with matrices and in nite series. The second edition offersmany additionaltopics for use in the classroom or for independentstudy. Chapter 1 includesa new sectioncoveringdistance andrelated notions in graphs, following an expanded introductory section. This new section also introduces the adjacency matrix of a graph, and describes its connection to important features of the graph. |
| computer science applications in real life: Mathematics for Computer Science Eric Lehman, F. Thomson Leighton, Albert R. Meyer, 2017-06-05 This book covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods. Topics include formal logic notation, proof methods; induction, well-ordering; sets, relations; elementary graph theory; integer congruences; asymptotic notation and growth of functions; permutations and combinations, counting principles; discrete probability. Further selected topics may also be covered, such as recursive definition and structural induction; state machines and invariants; recurrences; generating functions. The color images and text in this book have been converted to grayscale. |
| computer science applications in real life: A Book of Abstract Algebra Charles C Pinter, 2010-01-14 Accessible but rigorous, this outstanding text encompasses all of the topics covered by a typical course in elementary abstract algebra. Its easy-to-read treatment offers an intuitive approach, featuring informal discussions followed by thematically arranged exercises. This second edition features additional exercises to improve student familiarity with applications. 1990 edition. |
| computer science applications in real life: Advances in Computer Science and its Applications Hwa Young Jeong, Mohammad S. Obaidat, Neil Y. Yen, James J. (Jong Hyuk) Park, 2013-11-23 These proceedings focus on various aspects of computer science and its applications, thus providing an opportunity for academic and industry professionals to discuss the latest issues and progress in this and related areas. The book includes theory and applications alike. |
| computer science applications in real life: Advances and Applications in Computer Science, Electronics, and Industrial Engineering Marcelo V. Garcia, Félix Fernández-Peña, Carlos Gordón-Gallegos, 2022-05-25 This book presents the proceedings of the 3rd Conference on Computer Science, Electronics, and Industrial Engineering (CSEI 2021), held in Ambato in October 2021, with participants from 10 countries and guest speakers from Chile, Colombia, Brasil, Spain, Portugal, and United States. Featuring 20 peer-reviewed papers, it discusses topics such as the use of metaheuristics for non-deterministic problem solutions, software architectures for supporting e-government initiatives, and the use of electronics in e-learning and industrial environments. It also includes contributions illustrating how new approaches to these converging research areas are impacting the development of human societies around the world. As such, it is a valuable resource for scholars and practitioners alike. |
| computer science applications in real life: Research Anthology on Big Data Analytics, Architectures, and Applications Information Resources Management Association, 2022 Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians. |
| computer science applications in real life: Computational Science and Its Applications – ICCSA 2024 Workshops Osvaldo Gervasi, Beniamino Murgante, Chiara Garau, David Taniar, Ana Maria A. C. Rocha, Maria Noelia Faginas Lago, 2024-07-25 This eleven-volume set LNCS 14815 – 14825 constitutes the refereed workshop proceedings of the 24th International Conference on Computational Science and Its Applications, ICCSA 2024, held at Hanoi, Vietnam, during July 1–4, 2024. The 281 full papers, 17 short papers and 2 PHD showcase papers included in this volume were carefully reviewed and selected from a total of 450 submissions. In addition, the conference consisted of 55 workshops, focusing on very topical issues of importance to science, technology and society: from new mathematical approaches for solving complex computational systems, to information and knowledge in the Internet of Things, new statistical and optimization methods, several Artificial Intelligence approaches, sustainability issues, smart cities and related technologies. |
| computer science applications in real life: Applications of Continuous Mathematics to Computer Science Hung T. Nguyen, V. Kreinovich, 1997-10-31 This volume is intended to be used as a textbook for a special topic course in computer science. It addresses contemporary research topics of interest such as intelligent control, genetic algorithms, neural networks, optimization techniques, expert systems, fractals, and computer vision. The work incorporates many new research ideas, and focuses on the role of continuous mathematics. Audience: This book will be valuable to graduate students interested in theoretical computer topics, algorithms, expert systems, neural networks, and software engineering. |
| computer science applications in real life: Data Science and Its Applications Aakanksha Sharaff, G R Sinha, 2021-08-18 The term data being mostly used, experimented, analyzed, and researched, Data Science and its Applications finds relevance in all domains of research studies including science, engineering, technology, management, mathematics, and many more in wide range of applications such as sentiment analysis, social medial analytics, signal processing, gene analysis, market analysis, healthcare, bioinformatics etc. The book on Data Science and its applications discusses about data science overview, scientific methods, data processing, extraction of meaningful information from data, and insight for developing the concept from different domains, highlighting mathematical and statistical models, operations research, computer programming, machine learning, data visualization, pattern recognition and others. The book also highlights data science implementation and evaluation of performance in several emerging applications such as information retrieval, cognitive science, healthcare, and computer vision. The data analysis covers the role of data science depicting different types of data such as text, image, biomedical signal etc. useful for a wide range of real time applications. The salient features of the book are: Overview, Challenges and Opportunities in Data Science and Real Time Applications Addressing Big Data Issues Useful Machine Learning Methods Disease Detection and Healthcare Applications utilizing Data Science Concepts and Deep Learning Applications in Stock Market, Education, Behavior Analysis, Image Captioning, Gene Analysis and Scene Text Analysis Data Optimization Due to multidisciplinary applications of data science concepts, the book is intended for wide range of readers that include Data Scientists, Big Data Analysists, Research Scholars engaged in Data Science and Machine Learning applications. |
| computer science applications in real life: Introduction to Data Science Laura Igual, Santi Seguí, 2017-02-22 This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or performing sentiment analysis. Topics and features: provides numerous practical case studies using real-world data throughout the book; supports understanding through hands-on experience of solving data science problems using Python; describes techniques and tools for statistical analysis, machine learning, graph analysis, and parallel programming; reviews a range of applications of data science, including recommender systems and sentiment analysis of text data; provides supplementary code resources and data at an associated website. |
| computer science applications in real life: Cognitive Computing for Human-Robot Interaction Mamta Mittal, Rajiv Ratn Shah, Sudipta Roy, 2021-08-13 Cognitive Computing for Human-Robot Interaction: Principles and Practices explores the efforts that should ultimately enable society to take advantage of the often-heralded potential of robots to provide economical and sustainable computing applications. This book discusses each of these applications, presents working implementations, and combines coherent and original deliberative architecture for human–robot interactions (HRI). Supported by experimental results, it shows how explicit knowledge management promises to be instrumental in building richer and more natural HRI, by pushing for pervasive, human-level semantics within the robot's deliberative system for sustainable computing applications. This book will be of special interest to academics, postgraduate students, and researchers working in the area of artificial intelligence and machine learning. Key features: - Introduces several new contributions to the representation and management of humans in autonomous robotic systems; - Explores the potential of cognitive computing, robots, and HRI to generate a deeper understanding and to provide a better contribution from robots to society; - Engages with the potential repercussions of cognitive computing and HRI in the real world. - Introduces several new contributions to the representation and management of humans in an autonomous robotic system - Explores cognitive computing, robots and HRI, presenting a more in-depth understanding to make robots better for society - Gives a challenging approach to those several repercussions of cognitive computing and HRI in the actual global scenario |
| computer science applications in real life: Coding the Matrix Philip N. Klein, 2013 An engaging introduction to vectors and matrices and the algorithms that operate on them, intended for the student who knows how to program. Mathematical concepts and computational problems are motivated by applications in computer science. The reader learns by doing, writing programs to implement the mathematical concepts and using them to carry out tasks and explore the applications. Examples include: error-correcting codes, transformations in graphics, face detection, encryption and secret-sharing, integer factoring, removing perspective from an image, PageRank (Google's ranking algorithm), and cancer detection from cell features. A companion web site, codingthematrix.com provides data and support code. Most of the assignments can be auto-graded online. Over two hundred illustrations, including a selection of relevant xkcd comics. Chapters: The Function, The Field, The Vector, The Vector Space, The Matrix, The Basis, Dimension, Gaussian Elimination, The Inner Product, Special Bases, The Singular Value Decomposition, The Eigenvector, The Linear Program |
| computer science applications in real life: Emerging Trends in Computer Science and Its Application Anurag Tiwari, Manuj Darbari, 2025-04-08 The conference brought together a diverse group of scholars, researchers, and industry professionals to engage in meaningful discussions and share insights on cutting-edge trends in artificial intelligence, machine learning, data science, and their multifaceted applications. This collaboration and knowledge exchange fostered an environment of innovation, making the conference a successful and impactful event for all participants. It aimed to highlight these significant advancements and serve as a valuable resource for researchers, academicians, and practitioners who wish to stay informed about the recent innovations and methodologies shaping the landscape of computational intelligence. By showcasing a wide range of research topics and practical implementations, it not only addressed the current challenges but also inspired new ideas and approaches for future research. |
| computer science applications in real life: Challenges and Applications for Implementing Machine Learning in Computer Vision Kashyap, Ramgopal, Kumar, A.V. Senthil, 2019-10-04 Machine learning allows for non-conventional and productive answers for issues within various fields, including problems related to visually perceptive computers. Applying these strategies and algorithms to the area of computer vision allows for higher achievement in tasks such as spatial recognition, big data collection, and image processing. There is a need for research that seeks to understand the development and efficiency of current methods that enable machines to see. Challenges and Applications for Implementing Machine Learning in Computer Vision is a collection of innovative research that combines theory and practice on adopting the latest deep learning advancements for machines capable of visual processing. Highlighting a wide range of topics such as video segmentation, object recognition, and 3D modelling, this publication is ideally designed for computer scientists, medical professionals, computer engineers, information technology practitioners, industry experts, scholars, researchers, and students seeking current research on the utilization of evolving computer vision techniques. |
| computer science applications in real life: Machine Learning and Deep Learning in Real-Time Applications Mahrishi, Mehul, Hiran, Kamal Kant, Meena, Gaurav, Sharma, Paawan, 2020-04-24 Artificial intelligence and its various components are rapidly engulfing almost every professional industry. Specific features of AI that have proven to be vital solutions to numerous real-world issues are machine learning and deep learning. These intelligent agents unlock higher levels of performance and efficiency, creating a wide span of industrial applications. However, there is a lack of research on the specific uses of machine/deep learning in the professional realm. Machine Learning and Deep Learning in Real-Time Applications provides emerging research exploring the theoretical and practical aspects of machine learning and deep learning and their implementations as well as their ability to solve real-world problems within several professional disciplines including healthcare, business, and computer science. Featuring coverage on a broad range of topics such as image processing, medical improvements, and smart grids, this book is ideally designed for researchers, academicians, scientists, industry experts, scholars, IT professionals, engineers, and students seeking current research on the multifaceted uses and implementations of machine learning and deep learning across the globe. |
| computer science applications in real life: Big Data on Real-World Applications Sebastian Ventura Soto, José Luna, Alberto Cano, 2016-07-20 As technology advances, high volumes of valuable data are generated day by day in modern organizations. The management of such huge volumes of data has become a priority in these organizations, requiring new techniques for data management and data analysis in Big Data environments. These environments encompass many different fields including medicine, education data, and recommender systems. The aim of this book is to provide the reader with a variety of fields and systems where the analysis and management of Big Data are essential. This book describes the importance of the Big Data era and how existing information systems are required to be adapted to face up the problems derived from the management of massive datasets. |
| computer science applications in real life: Emerging Artificial Intelligence Applications in Computer Engineering Ilias G. Maglogiannis, 2007 Provides insights on how computer engineers can implement artificial intelligence (AI) in real world applications. This book presents practical applications of AI. |
| computer science applications in real life: Informatics in Schools: Focus on Learning Programming Valentina Dagienė, Arto Hellas, 2017-11-22 This book constitutes the refereed proceedings of the 10th International Conference on Informatics in Schools: Situation, Evolution, and Perspectives, ISSEP 2017, held in Helsinki, Finland, in November 2017. The 18 full papers presented together with 1 invited talk were carefully reviewed and selected from 41 submissions. ISSEP presents this year a broad range of themes ranging from making informatics accessible to visually impaired students and computational thinking to context- and country specific challenges as well as teacher development and training. |
| computer science applications in real life: Computer Architecture for Scientists Andrew A. Chien, 2022-03-10 A principled, high-level view of computer performance and how to exploit it. Ideal for software architects and data scientists. |
| computer science applications in real life: Innovative Computing, Optimization and Its Applications Ivan Zelinka, Pandian Vasant, Vo Hoang Duy, Tran Trong Dao, 2017-11-20 This book presents the latest research of the field of optimization, modeling and algorithms, discussing the real-world application problems associated with new innovative methodologies. The requirements and demands of problem solving have been increasing exponentially and new computer science and engineering technologies have reduced the scope of data coverage worldwide. The recent advances in information communication technology (ICT) have contributed to reducing the gaps in the coverage of domains around the globe. The book is a valuable reference work for researchers in the fields of computer science and engineering with a particular focus on modeling, simulation and optimization as well as for postgraduates, managers, economists and decision makers |
| computer science applications in real life: Brain-Computer Interfaces: Lab Experiments to Real-World Applications , 2016-08-27 Brain-Computer Interfaces: Lab Experiments to Real-World Applications, the latest volume in the Progress in Brain Research series, focuses on new trends and developments. This established international series examines major areas of basic and clinical research within the neurosciences, as well as popular and emerging subfields. - Explores new trends and developments in brain research - Enhances the literature of neuroscience by further expanding this established, ongoing international series - Examines major areas of basic and clinical research within the field |
| computer science applications in real life: PROLOG for Computer Science Christopher Dawe, 2012-12-06 Prolog is important as one of the major programming languages. Beginning with a chapter on logic (which makes the book particularly useful to undergraduate students), Prolog for Computer Science provides a comprehensive tutorial that assumes no prior knowledge of programming. There are lots of realistic examples and case-studies, including an English-Dutch translator. |
| computer science applications in real life: Computer Science - Theory and Applications Edward A. Hirsch, Alexander A. Razborov, Alexei Semenov, Anatol Slissenko, 2008-05-14 This book constitutes the refereed proceedings of the Third International Computer Science Symposium in Russia, CSR 2008, held in Moscow, Russia, June 7-12, 2008. The 33 revised papers presented together with 5 invited papers and one opening lecture were carefully reviewed and selected from 103 submissions. All major areas in computer science are addressed. The theory track deals with algorithms, protocols, and data structures; complexity and cryptography; formal languages, automata and their applications to computer science; computational models and concepts; proof theory and applications of logic to computer science. The application part comprises programming and languages; computer architecture and hardware design; symbolic computing and numerical applications; application software; artificial intelligence and robotics. |
| computer science applications in real life: Linear Algebra and Probability for Computer Science Applications Ernest Davis, 2012-05-02 Based on the author's course at NYU, Linear Algebra and Probability for Computer Science Applications gives an introduction to two mathematical fields that are fundamental in many areas of computer science. The course and the text are addressed to students with a very weak mathematical background. Most of the chapters discuss relevant MATLAB functi |
| computer science applications in real life: Explorations in Computing John S. Conery, 2011-06-27 Based on the author’s introductory course at the University of Oregon, Explorations in Computing: An Introduction to Computer Science focuses on the fundamental idea of computation and offers insight into how computation is used to solve a variety of interesting and important real-world problems. Taking an active learning approach, the text encourages students to explore computing ideas by running programs and testing them on different inputs. It also features illustrations by Phil Foglio, winner of the 2009 and 2010 Hugo Award for Best Graphic Novel. Classroom-Tested Material The first four chapters introduce key concepts, such as algorithms and scalability, and hone practical lab skills for creating and using objects. In the remaining chapters, the author covers divide and conquer as a problem solving strategy, the role of data structures, issues related to encoding data, computer architecture, random numbers, challenges for natural language processing, computer simulation, and genetic algorithms. Through a series of interactive projects in each chapter, students can experiment with one or more algorithms that illustrate the main topic. Requiring no prior experience with programming, these projects show students how algorithms provide computational solutions to real-world problems. Web Resource The book’s website at www.cs.uoregon.edu/eic presents numerous ancillaries. The lab manual offers step-by-step instructions for installing Ruby and the RubyLabs gem with Windows XP, Mac OS X, and Linux. The manual includes tips for editing programs and running commands in a terminal emulator. The site also provides online documentation of all the modules in the RubyLabs gem. Once the gem is installed, the documentation can be read locally by a web browser. After working through the in-depth examples in this textbook, students will gain a better overall understanding of what computer science is about and how computer scientists think about problems. |
| computer science applications in real life: Deep Learning for Coders with fastai and PyTorch Jeremy Howard, Sylvain Gugger, 2020-06-29 Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala |
| computer science applications in real life: Proceedings of the Second International Conference on Innovations in Computing Research (ICR’23) Kevin Daimi, Abeer Al Sadoon, 2023-06-16 The Second International Conference on Innovations in Computing Research (ICR’23) brings together a diverse group of researchers from all over the world with the intent of fostering collaboration and dissemination of the innovations in computing technologies. The conference is aptly segmented into six tracks: Data Science, Computer and Network Security, Health Informatics and Medical Imaging, Computer Science and Computer Engineering Education, Internet of Things, and Smart Cities/Smart Energy. These tracks aim to promote a birds-of-the-same-feather congregation and maximize participation. The Data Science track covers a wide range of topics including complexity score for missing data, deep learning and fake news, cyberbullying and hate speech, surface area estimation, analysis of gambling data, car accidents predication model, augmenting character designers’ creativity, deep learning for road safety, effect of sleep disturbances on the quality of sleep, deep learning-based path-planning, vehicle data collection and analysis, predicting future stocks prices, and trading robot for foreign exchange. Computer and Network Security track is dedicated to various areas of cybersecurity. Among these are decentralized solution for secure management of IoT access rights, multi-factor authentication as a service (MFAaaS) for federated cloud environments, user attitude toward personal data privacy and data privacy economy, host IP obfuscation and performance analysis, and vehicle OBD-II port countermeasures. The Computer Science and Engineering Education track enfolds various educational areas, such as data management in industry–academia joint research: a perspective of conflicts and coordination in Japan, security culture and security education, training and awareness (SETA), influencing information security management, engaging undergraduate students in developing graphical user interfaces for NSF funded research project, and emotional intelligence of computer science teachers in higher education. On the Internet of Things (IoT) track, the focus is on industrial air quality sensor visual analytics, social spider optimization meta-heuristic for node localization optimization in wireless sensor networks, and privacy aware IoT-based fall detection with infrared sensors and deep learning. The Smart Cities and Smart Energy track spans various areas, which include, among others, research topics on heterogeneous transfer learning in structural health monitoring for high-rise structures and energy routing in energy Internet using the firefly algorithm. |
| computer science applications in real life: Financial Data Science with SAS Babatunde O Odusami, 2024-06-14 Explore financial data science using SAS. Financial Data Science with SAS provides readers with a comprehensive explanation of the theoretical and practical implementation of the various types of analytical techniques and quantitative tools that are used in the financial services industry. This book shows readers how to implement data visualization, simulation, statistical predictive models, machine learning models, and financial optimizations using real-world examples in the SAS Analytics environment. Each chapter ends with practice exercises that include use case scenarios to allow readers to test their knowledge. Designed for university students and financial professionals interested in boosting their data science skills, Financial Data Science with SAS is an essential reference guide for understanding how data science is used in the financial services industry and for learning how to use SAS to solve complex business problems. |
| computer science applications in real life: Algorithms and Architectures for Parallel Processing Sheng Wen, Albert Zomaya, Laurence T. Yang, 2020-01-21 The two-volume set LNCS 11944-11945 constitutes the proceedings of the 19th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2019, held in Melbourne, Australia, in December 2019. The 73 full and 29 short papers presented were carefully reviewed and selected from 251 submissions. The papers are organized in topical sections on: Parallel and Distributed Architectures, Software Systems and Programming Models, Distributed and Parallel and Network-based Computing, Big Data and its Applications, Distributed and Parallel Algorithms, Applications of Distributed and Parallel Computing, Service Dependability and Security, IoT and CPS Computing, Performance Modelling and Evaluation. |
| computer science applications in real life: Computing Fundamentals and Programming in C Nasib Singh Gill, The complete spectrum of computing fundamentals starting from abc of computer to internet usage has been well covered in simple and readers loving style, The language used in the book is lucid, is easy to understand, and facilities easy grasping of concepts, The chapter have been logically arranged in sequence, The book is written in a reader-friendly manner both the students and the teachers, Most of the contents presented in the book are in the form of bullets, organized sequentially. This form of presentation, rather than in a paragraph form, facilities the reader to view, understand and remember the points better, The explanation is supported by diagrams, pictures and images wherever required, Sufficient exercises have been included for practice in addition to the solved examples in every chapter related to C programming, Concepts of pointers, structures, Union and file management have been extensively detailed to help advance learners, Adequate exercises have been given at the end of the every chapter, Pedagogy followed for sequencing the contents on C programming supported by adequate programming examples is likely to help the reader to become proficient very soon, 200 problems on C programming & their solutions, 250 Additional descriptive questions on C programming. |
| computer science applications in real life: Advanced IoT Sensors, Networks and Systems Ashwani Kumar Dubey, Vijayan Sugumaran, Peter Han Joo Chong, 2023-06-24 This volume comprises selected peer-reviewed proceedings of the 9th International Conference on Signal Processing and Integrated Networks (SPIN 2022). It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in signal processing, IoT sensors, systems and technologies, cloud computing, wireless communication, and wireless sensor networks. This volume will provide a valuable resource for those in academia and industry. |
| computer science applications in real life: Encyclopedia of Computer Science and Technology Harry Henderson, 2009 Presents an illustrated A-Z encyclopedia containing approximately 600 entries on computer and technology related topics. |
| computer science applications in real life: Computational Science — ICCS 2003 Peter M.A. Sloot, David Abramson, Alexander V. Bogdanov, Jack J. Dongarra, Albert Y. Zomaya, Yuriy E. Gorbachev, 2003-08-03 The four-volume set LNCS 2657, LNCS 2658, LNCS 2659, and LNCS 2660 constitutes the refereed proceedings of the Third International Conference on Computational Science, ICCS 2003, held concurrently in Melbourne, Australia and in St. Petersburg, Russia in June 2003. The four volumes present more than 460 reviewed contributed and invited papers and span the whole range of computational science, from foundational issues in computer science and algorithmic mathematics to advanced applications in virtually all application fields making use of computational techniques. These proceedings give a unique account of recent results in the field. |
| computer science applications in real life: Computer Science and Health Engineering in Health Services José Antonio Marmolejo-Saucedo, Pandian Vasant, Igor Litvinchev, Roman Rodriguez-Aguilar, Felix Martinez-Rios, 2021-02-24 This book constitutes the refereed post-conference proceedings of the 4th International Conference on Computer Science and Health Engineering in Health Services. Due to COVID-19 pandemic the conference was held virtually. The 16 full papers presented were carefully reviewed and selected from 39 submissions. The papers highlight the latest research innovations and applications of algorithms designed for optimization applications within the fields of science, computer science, engineering, information technology, economics, and health systems. |
| computer science applications in real life: Energy and Water Development Appropriations for 2011, Part 3, February 2010, 111-2 Hearings , 2010 |
| computer science applications in real life: United States Air Force Academy United States Air Force Academy, 1968 |
| computer science applications in real life: Encyclopedia of Computer Science and Technology, Second Edition (Set) Phillip A. Laplante, 2017-10-02 With breadth and depth of coverage, the Encyclopedia of Computer Science and Technology, Second Edition has a multi-disciplinary scope, drawing together comprehensive coverage of the inter-related aspects of computer science and technology. The topics covered in this encyclopedia include: General and reference Hardware Computer systems organization Networks Software and its engineering Theory of computation Mathematics of computing Information systems Security and privacy Human-centered computing Computing methodologies Applied computing Professional issues Leading figures in the history of computer science The encyclopedia is structured according to the ACM Computing Classification System (CCS), first published in 1988 but subsequently revised in 2012. This classification system is the most comprehensive and is considered the de facto ontological framework for the computing field. The encyclopedia brings together the information and historical context that students, practicing professionals, researchers, and academicians need to have a strong and solid foundation in all aspects of computer science and technology. |
Computer | Definition, History, Operating Systems, & Facts
A computer is a programmable device for processing, storing, and displaying information. Learn more in this article about modern digital electronic computers and their design, constituent …
Computer - History, Technology, Innovation | Britannica
Computer - History, Technology, Innovation: A computer might be described with deceptive simplicity as “an apparatus that performs routine calculations automatically.” Such a definition …
Computer - Technology, Invention, History | Britannica
Apr 14, 2025 · Computer - Technology, Invention, History: By the second decade of the 19th century, a number of ideas necessary for the invention of the computer were in the air. First, …
computer - Kids | Britannica Kids | Homework Help
A computer is a device for working with information. The information can be numbers, words, pictures, movies, or sounds. Computer information is also called data.
Personal computer (PC) | Definition, History, & Facts | Britannica
6 days ago · Personal computer, a digital computer designed for use by only one person at a time. A typical personal computer assemblage consists of a central processing unit, which contains …
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May 29, 2025 · Computer science is the study of computers and computing, including their theoretical and algorithmic foundations, hardware and software, and their uses for processing …
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Computer - Memory, Storage, Processing: The earliest forms of computer main memory were mercury delay lines, which were tubes of mercury that stored data as ultrasonic waves, and …
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digital computer, any of a class of devices capable of solving problems by processing information in discrete form. It operates on data, including magnitudes, letters, and symbols, that are …
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Apr 14, 2025 · Computer - Supercomputing, Processing, Speed: The most powerful computers of the day have typically been called supercomputers. They have historically been very …
Computer programming language | Types & Examples | Britannica
May 13, 2025 · Computer programming language, any of various languages for expressing a set of detailed instructions for a computer. The earliest programming languages were assembly …
Computer | Definition, History, Operating Systems, & Facts
A computer is a programmable device for processing, storing, and displaying information. Learn more in this article about modern digital electronic computers and their design, constituent …
Computer - History, Technology, Innovation | Britannica
Computer - History, Technology, Innovation: A computer might be described with deceptive simplicity as “an apparatus that performs routine calculations automatically.” Such a definition …
Computer - Technology, Invention, History | Britannica
Apr 14, 2025 · Computer - Technology, Invention, History: By the second decade of the 19th century, a number of ideas necessary for the invention of the computer were in the air. First, …
computer - Kids | Britannica Kids | Homework Help
A computer is a device for working with information. The information can be numbers, words, pictures, movies, or sounds. Computer information is also called data.
Personal computer (PC) | Definition, History, & Facts | Britannica
6 days ago · Personal computer, a digital computer designed for use by only one person at a time. A typical personal computer assemblage consists of a central processing unit, which contains …
Computer science | Definition, Types, & Facts | Britannica
May 29, 2025 · Computer science is the study of computers and computing, including their theoretical and algorithmic foundations, hardware and software, and their uses for processing …
Computer - Memory, Storage, Processing | Britannica
Computer - Memory, Storage, Processing: The earliest forms of computer main memory were mercury delay lines, which were tubes of mercury that stored data as ultrasonic waves, and …
Digital computer | Evolution, Components, & Features | Britannica
digital computer, any of a class of devices capable of solving problems by processing information in discrete form. It operates on data, including magnitudes, letters, and symbols, that are …
Computer - Supercomputing, Processing, Speed | Britannica
Apr 14, 2025 · Computer - Supercomputing, Processing, Speed: The most powerful computers of the day have typically been called supercomputers. They have historically been very expensive …
Computer programming language | Types & Examples | Britannica
May 13, 2025 · Computer programming language, any of various languages for expressing a set of detailed instructions for a computer. The earliest programming languages were assembly …
