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: Инструменты, алгоритмы и структуры данных
Автор: Мейер Б.
Издательство: ИНТУИТ
Год: 2021
Cтраниц: 540
Формат: pdf
Размер: 75 мб
Язык: русский

В учебном пособии рассматриваются технологии, поддерживающие программирование: синтаксис языков программирования, особенности языков, основы компиляции, используемый инструментарий. Большую часть издания составляет рассмотрение структур данных и алгоритмов. При изучении структур данных основное внимание уделяется динамическим структурам, прежде всего, спискам и деревьям. Также излагаются понятия сложности алгоритмов, рекурсивных алгоритмов.

Название: Biological Pattern Discovery with R: Machine Learning Approaches
Автор: Zheng Rong Yang
Издательство: World Scientific
Год: 2022
Формат: PDF
Страниц: 462
Размер: 17,7 Mb
Язык: English

This book provides the research directions for new or junior researchers who are going to use machine learning approaches for biological pattern discovery. The book was written based on the research experience of the author's several research projects in collaboration with biologists worldwide. The chapters are organised to address individual biological pattern discovery problems. For each subject, the research methodologies and the machine learning algorithms which can be employed are introduced and compared. Importantly, each chapter was written with the aim to help the readers to transfer their knowledge in theory to practical implementation smoothly. Therefore, the R programming environment was used for each subject in the chapters. The author hopes that this book can inspire new or junior researchers' interest in biological pattern discovery using machine learning algorithms.

Название: Applied Software Development with Python & Machine Learning
Автор: Robert LeMoyne, Timothy Mastroianni
Издательство: World Scientific
Год: 2022
Формат: PDF
Страниц: 249
Размер: 22,8 Mb
Язык: English

The book presents the confluence of wearable and wireless inertial sensor systems, such as a smartphone, for deep brain stimulation for treating movement disorders, such as essential tremor, and machine learning. The machine learning distinguishes between distinct deep brain stimulation settings, such as 'On' and 'Off' status. This achievement demonstrates preliminary insight with respect to the concept of Network Centric Therapy, which essentially represents the Internet of Things for healthcare and the biomedical industry, inclusive of wearable and wireless inertial sensor systems, machine learning, and access to Cloud computing resources.Imperative to the realization of these objectives is the organization of the software development process. Requirements and pseudo code are derived, and software automation using Python for post-processing the inertial sensor signal data to a feature set for machine learning is progressively developed.

Название: Black Hat Python: Программирование на Python для хакеров и пентестеров
Автор: Зейтц Юстин, Арнольд Тим
Издательство: СПб.: Питep
Год: 2022
Формат: pdf/djvu
Страниц: 256
Размер: 11 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: Python Concurrency with asyncio
Автор: M Fowler
Издательство: Manning Publications
Год: 2022
Формат: True PDF
Страниц: 378
Размер: 10 Mb
Язык: English

Learn how to speed up slow Python code with concurrent programming and the cutting-edge asyncio library.
Use coroutines and tasks alongside async/await syntax to run code concurrently
Build web APIs and make concurrency web requests with aiohttp
Run thousands of SQL queries concurrently
Create a map-reduce job that can process gigabytes of data concurrently
Use threading with asyncio to mix blocking code with asyncio code

Название: Core Java, Vol. II-Advanced Features, 12th Edition
Автор: Cay S. Horstmann
Издательство: Addison-Wesley Professional
Год: 2022
Формат: ePUB
Страниц: 944
Размер: 14,8 Mb
Язык: English

The #1 Java Guide for Serious Programmers: Fully Updated through Java 17
Core Java, Volume II: Fundamentals, Twelfth Edition, is the definitive guide to writing robust, maintainable code. Whatever version of Java you are usingup to and including Java 17this book will help you achieve a deep and practical understanding of the language and APIs. With with authoritative coverage of enterprise programming, networking, databases, security, modularization, internationalization, code processing, native methods, and more. Cay S. Horstmann explores sophisticated new features with depth and completeness, demonstrating how to use them to build professional-quality applications

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.