Название: Объектно-ориентированный подход в логических моделях
Автор: Ульянов В.С.
Издательство: ИГУ
Год: 2014
ISBN: 978-5-9624-1176-7
Формат: pdf
Страниц: 83
Размер: 18,3 Мб
Язык: русский

Монография посвящена проблеме моделирования объектных структур данных в рамках дескриптивной логики. В работе исследуется построение информационных систем, ориентированных на создание баз данных и знаний, в которых эффективная обработка структур данных на уровне объектной модели сочетается с интеллектуальной обработкой знаний на логическом уровне.

Название: Zero To Mastery In .Net Framework - No.1 net Programming Book To Become Zero To Hero In net Development, This Amazing .net Framework Book Covers A-Z ...
Автор: Dr. Rajiv Kumar Jain
Издательство: Vayu Education Of India
Год: 2022
Страниц: 335
Язык: английский
Формат: pdf
Размер: 94.3 MB

The .NET Framework is the infrastructure for the new Microsoft .NET Platform. The .NET Framework is a common environment for building, deploying, and running Web Services and Web Applications. The .NET Framework contains common class libraries-like ADO.NET, ASP.NET and Windows Forms-to provide advanced standard services that can be integrated into a variety of computer systems. The .NET Framework is language neutral. Currently it supports C++, C#, Visual Basic, JScript (The Microsoft version of jаvascript) and COBOL. Third-party languages - like Eiffel, Perl, Python, Smalltalk, and others - will also be available for building future .NET Framework applications. The new Visual Studio.NET is a common development environment for the new .NET Framework. It provides a feature-rich application execution environment, simplified development and easy integration between a number of different development languages.

Название: Computational Cryptography: Algorithmic Aspects of Cryptology
Автор: Joppe Bos, Martijn Stam
Издательство: Cambridge University Press
Год: 2021
Страниц: 402
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

The area of computational cryptography is dedicated to the development of effective methods in algorithmic number theory that improve implementation of cryptosystems or further their cryptanalysis. Computational cryptography has two sides: a potentially destructive side and a constructive one. The destructive side challenges the hardness assumptions underlying modern cryptographic systems by the development of suitable number-theoretic algorithms; the constructive side offers techniques and recommendations that help implement and deploy cryptosystems. Although the two sides are intricately intertwined, this book is divided into two parts accordingly. The first part is dedicated to cryptanalysis, whereas the second part focusses on the implementation aspects of computational cryptography.

Название: Machine Learning in Healthcare: Fundamentals and Recent Applications
Автор: Bikesh Kumar Singh, G.R. Sinha
Издательство: CRC Press
Год: 2022
Страниц: 253
Язык: английский
Формат: pdf (true)
Размер: 13.2 MB

Artificial intelligence (AI) and Machine Learning (ML) techniques play an important role in our daily lives by enhancing predictions and decision-making for the public in several fields such as financial services, real estate business, consumer goods, social media, etc. Despite several studies that have proved the efficacy of AI/ML tools in providing improved healthcare solutions, it has not gained the trust of health-care practitioners and medical scientists. This is due to poor reporting of the technology, variability in medical data, small datasets, and lack of standard guidelines for application of AI. Therefore, the development of new AI/ML tools for various domains of medicine is an ongoing field of research.

Название: C# 10 in a Nutshell: The Definitive Reference (Final)
Автор: Joseph Albahari
Издательство: O’Reilly Media, Inc.
Год: 2022
Страниц: 1052
Язык: английский
Формат: epub
Размер: 10.2 MB

When you have questions about C# 10 or .NET 6, this best-selling guide has the answers you need. C# is a language of unusual flexibility and breadth, and with its continual growth, there's always so much more to learn. In the tradition of O'Reilly's Nutshell guides, this thoroughly updated edition is simply the best one-volume reference to the C# language available today.

Название: Computational Analysis of Storylines: Making Sense of Events (Studies in Natural Language Processing)
Автор: Tommaso Caselli, Eduard Hovy
Издательство: Cambridge University Press
Год: 2021
Страниц: 275
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Event structures are central in Linguistics and Artificial Intelligence research: people can easily refer to changes in the world, identify their participants, distinguish relevant information, and have expectations of what can happen next. Part of this process is based on mechanisms similar to narratives, which are at the heart of information sharing. But it remains difficult to automatically detect events or automatically construct stories from such event representations. This book explores how to handle today's massive news streams and provides multidimensional, multimodal, and distributed approaches, like automated deep learning, to capture events and narrative structures involved in a 'story'. This overview of the current state-of-the-art on event extraction, temporal and casual relations, and storyline extraction aims to establish a new multidisciplinary research community with a common terminology and research agenda. Graduate students and researchers in natural language processing, computational linguistics, and media studies will benefit from this book.

Название: Black Hat Python: программирование для хакеров и пентестеров, 2-е изд
Автор: Зейтц Д., Арнольд Т.
Издательство: Питep
Год: 2022
Формат: True PDF
Страниц: 224
Размер: 10 Mb
Язык: Русский

Когда речь идет о создании мощных и эффективных хакерских инструментов, большинство аналитиков по безопасности выбирают Python. Во втором издании бестселлера Black Hat Python вы исследуете темную сторону возможностей Python — все от написания сетевых снифферов, похищения учетных данных электронной почты и брутфорса каталогов до разработки мутационных фаззеров, анализа виртуальных машин и создания скрытых троянов.

Название: Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications
Автор: Om Prakash Jena, Bharat Bhushan, Utku Kose
Издательство: CRC Press
Год: 2022
Страниц: 292
Язык: английский
Формат: pdf (true)
Размер: 14.3 MB

Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications introduces and explores a variety of schemes designed to empower, enhance, and represent multi-institutional and multi-disciplinary Machine Learning (ML) and Deep Learning (DL) research in healthcare paradigms. Serving as a unique compendium of existing and emerging ML/DL paradigms for the healthcare sector, this book demonstrates the depth, breadth, complexity, and diversity of this multi-disciplinary area. It provides a comprehensive overview of ML/DL algorithms and explores the related use cases in enterprises such as computer-aided medical diagnostics, drug discovery and development, medical imaging, automation, robotic surgery, electronic smart records creation, outbreak prediction, medical image analysis, and radiation treatments.

Название: Prediction and Analysis for Knowledge Representation and Machine Learning
Автор: Avadhesh Kumar, Shrddha Sagar, T. Ganesh Kumar
Издательство: CRC Press
Год: 2022
Страниц: 232
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Number of approaches are being defined for statistics and Machine Learning. These approaches are used for the identification of the process of the system and the models created from the system's perceived data, assisting scientists in the generation or refinement of current models. Machine Learning (ML) is being studied extensively in science, particularly in bioinformatics, economics, social sciences, ecology, and climate science, but learning from data individually needs to be researched more for complex scenarios. Advanced knowledge representation approaches that can capture structural and process properties are necessary to provide meaningful knowledge to Machine Learning algorithms. It has a significant impact on comprehending difficult scientific problems.

Название: Regression Models for Data Science in R: Statistical inference for Data Science
Автор: Yassine Mousaif
Издательство: Independently published
Год: 2022
Страниц: 132
Язык: английский
Формат: pdf, epub
Размер: 10.2 MB

What's Special about this Book: The ideal reader for this book will be quantitatively literate and has a basic understanding of statistical concepts and R programming. The student should have a basic understanding of statistical inference such as contained in "Statistical inference for Data Science". The book gives a rigorous treatment of the elementary concepts of regression models from a practical perspective. After reading the book and watching the associated videos, students will be able to perform multivariable regression models and understand their interpretations. Regression models are the workhorse of Data Science. They are the most well described, practical and theoretically understood models in statistics. A data scientist well versed in regression models will be able to solve and incredible array of problems. Perhaps the key insight for regression models is that they produce highly interpretable model fits. This is unlike Machine Learning algorithms, which often sacrifice interpretability for improved prediction performance or automation.