Название: Languages and Compilers for Parallel Computing: 32nd International Workshop
Автор: Santosh Pande, Vivek Sarkar
Издательство: Springer
Год: 2021
Страниц: 177
Язык: английский
Формат: epub
Размер: 18.9 MB

This book constitutes the thoroughly refereed post-conference proceedings of the 32nd International Workshop on Languages and Compilers for Parallel Computing, LCPC 2019, held in Atlanta, GA, USA, in October 2019. The 8 revised full papers and 3 revised short papers were carefully reviewed and selected from 17 submissions. The scope of the workshop includes advances in programming systems for current domains and platforms, e.g., scientific computing, batch/ streaming/ real-time data analytics, Machine Learning, cognitive computing, heterogeneous/ reconfigurable computing, mobile computing, cloud computing, IoT, as well as forward-looking computing domains such as analog and quantum computing.

Название: Modelling to Program: Second International Workshop
Автор: Ajantha Dahanayake, Oscar Pastor, Bernhard Thalheim
Издательство: Springer
Год: 2021
Страниц: 243
Язык: английский
Формат: epub
Размер: 20.2 MB

This book constitutes revised selected papers from the Second International Workshop on Modelling to Program, M2P 2020, held in Lappeenranta, Finland, in March 2020. Programming has become a technique for everybody, especially for non-computer scientists. Programs have become an essential part of modern infrastructure. Programming is nowadays a socio-material practice fundamental to the disciplines of science and engineering. Programs of the future must be understandable by all parties involved, must be accurate and precise enough for the task they support, and must support reasoning and controlled realisation and evolution at all levels of abstraction.

Название: Systems Analysis and Design, Global Edition, 10th Edition
Автор: Julie E. Kendall, Kenneth E. Kendall
Издательство: Pearson
Год: 2020
Формат: PDF
Страниц: 578
Размер: 38 Mb
Язык: English

The tenth edition of Systems Analysis and Design includes extensive changes inspired by the rapid changes in the IS field over the past four years, and they are included as a response to the thoughtful input of our audience of adopters, students, and academic reviewers. Many new and advanced features are integrated throughout this new edition.

Название: New Perspectives on Enterprise Decision-Making Applying Artificial Intelligence Techniques
Автор: Julian Andres Zapata-Cortes, Giner Alor-Hernandez
Издательство: Springer
Год: 2021
Страниц: 529
Язык: английский
Формат: pdf (true)
Размер: 20.5 MB

Artificial Intelligence (AI) techniques cover the automation of cognitive and physical tasks. These techniques help people to perform tasks faster and make better decisions. It enables the automation of decision-making process without human intervention. AI techniques can enhance automation by reducing intensive human labor and tedious tasks. There are more forms in which Artificial Intelligence is making a difference for enterprises in decision-making marketing, customer relationship management, recommender systems, problem-solving, opinion mining, augmented analytics, to mention but a few.

Название: Python - Learn a New Skill Today: Lab 2: Business Expenses (Visual Programming)
Автор: Cathy Young
Издательство: Independently published
Год: 2021
Страниц: 285
Язык: английский
Формат: pdf, azw, epub
Размер: 10.1 MB

Are you curious about the Python language and wondering how to read and write Excel files efficiently? This book uses the format of a hands-on lab to create a complete program, with simple code examples that gather and categorize business expense details. The lab uses the “openpyxl” functions to read, write, and format Excel objects. We’ll also use dictionaries and lists with the data to drastically improve performance. The code is organized around several lab functions. The compartmentalized functions provide a logical stopping place if you want to take a break and make it easier to “test” parts of your code and know they’re working OK.

Название: Artificial Neural Networks
Автор: Hugh Cartwright
Издательство: Humana Press, Springer
Год: 2021
Страниц: 371
Язык: английский
Формат: epub
Размер: 65.8 MB

This volume presents examples of how Artificial Neural Networks (ANNs) are applied in biological sciences and related areas. Chapters cover a wide variety of topics, including the analysis of intracellular sorting information, prediction of the behavior of bacterial communities, biometric authentication, studies of Tuberculosis, gene signatures in breast cancer classification, the use of mass spectrometry in metabolite identification, visual navigation, and computer diagnosis. Two decades ago it would have been hard to foresee the remarkable growth in the use of artificial intelligence (AI) in the physical and life sciences. But there is a simple explanation for that rise: AI tools work. Software is now readily available for Artificial Neural Networks, Genetic Algorithms, Deep Learning, Random Forests, Support Vector Machines, and other methods.

Название: Learning Java Programming in Clara‘s World
Автор: Bogdanovych, Anton, Trescak, Tomas
Издательство: Springer
Год: 2021
Формат: PDF
Страниц: 303
Размер: 14 Mb
Язык: English

This book introduces the key concepts of Java programming through the eyes of a small ladybug called Clara. Clara is a fun and extremely obedient insect, whose journey starts with limited skills. Readers learn programming by making Clara move around and manipulate objects in her world. As the book progresses, Clara becomes more intelligent and acquires new skills and (together with readers) learns by tackling some of the world’s greatest challenges.

Название: Hybrid Cloud Apps with OpenShift and Kubernetes: Delivering Highly Available Applications and Services
Автор: Michael Elder, Jake Kitchener, Dr. Brad Topol
Издательство: O’Reilly Media
Год: 2021
Формат: True ePUB
Страниц: 274
Размер: 10 Mb
Язык: English

Selling your CTO on the merits of OpenShift and Kubernetes is only the beginning. To operate and scale OpenShift, you also need to know how to manage and expose resources to application teams and continuously deliver changes to the applications running in these environments. With this practical book, new and experienced developers and operators will learn specific techniques for operationalizing OpenShift and Kubernetes in the enterprise.

Название: Программирование на языке MQL5 от основ до индикаторов и экспертов
Автор: Дмитрий Федосеев
Издательство: Издательские решения
Год: 2021
Формат: PDF
Страниц: 422
Размер: 10 Mb
Язык: Русский

Книга предназначена для самостоятельного изучения языка программирования MQL5. Все теоретические положения, рассматриваемые в книге, сопровождаются практическими примерами, рекомендуемыми для самостоятельного выполнения. Рассмотрение материала выполняется от элементарных основ программирования до разработки индикаторов технического анализа и полноценных торговых экспертов для терминала MetaTrader5. Данных подход делает книгу полезной для новичков, не имеющих опыта в программировании. Также книга будет полезна и опытным программистам, желающим ускорить освоение языка MQL5 или познакомится с авторским подходом в разработке индикаторов и экспертов.

Название: BIM-enabled Cognitive Computing for Smart Built Environment: Potential, Requirements, and Implementation
Автор: Ibrahim Yitmen
Издательство: CRC Press
Год: 2021
Страниц: 256
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

The book provides knowledge in the Building Information Model (BIM)-enabled cognitive computing methods for smart built environment involving cognitive network capabilities for smart buildings, integrating Augmented Reality/Mixed Reality in cognitive building concepts, cognitive Internet of Things (CIoT) for smart cities, Artificial Intelligence applications for cognitive cities, and cognitive smart cities using Big Data and Machine Learning (ML). It focuses on the potential, requirements and implementation of CIoT paradigm to buildings, Artificial Intelligence techniques, reasoning, and Augmented Reality/Mixed Reality in cognitive building concepts, the concept of cognitive smart cities in its complexity, heterogeneity, and scope, and the challenge of utilizing the Big Data generated by smart cities from a Machine Learning perspective.