Название: Думай и богатей. Для тех, кто ценит время
Автор: Наполеон Хилл
Издательство: Попурри
Год: 2023
Страниц: 90
Формат: pdf
Язык: русский
Размер: 11 Мб

Эта книга представляет собой краткое изложение оригинального текста классического труда Наполеона Хилла 1937 года «Думай и богатей». Здесь собраны ключевые принципы, инструкции и примеры, чтобы современный читатель, независимо от своей занятости, мог извлечь для себя пользу. Читайте не более одной главы в день, предоставляя себе пространство и время для полного усвоения идей и позволяя своим способностям проявляться в полной мере. Последовательная практика шагов, изложенных в книге, приведет вас к устойчивому личностному росту и придаст сил для достижения мечты.

Название: Artificial intelligence in Pharmaceutical Sciences
Автор: Mullaicharam Bhupathyraaj, K. Reeta Vijaya Rani, Musthafa Mohamed Essa
Издательство: CRC Press
Год: 2024
Страниц: 181
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

This cutting-edge reference book discusses the intervention of Artificial Intelligence (AI) in the fields of drug development, modified drug delivery systems, pharmaceutical technology, and medical devices development. This comprehensive book includes an overview of Artificial Intelligence in pharmaceutical sciences and applications in the drug discovery and development process. It discusses the role of Machine Learning (ML) in the automated detection and sorting of pharmaceutical formulations. It covers nanosafety and the role of Artificial Intelligence in predicting potential adverse biological effects. Artificial Intelligence (AI) has offered a crucial part in significantly developing and nurturing the field of pharmacy throughout the world. The chapters in this book will deal with the omnipotent and omnipresent inevitability of AI, an overview of AI-driven pharmaceutical functionality, AI in drug delivery systems, the role of AI in drug discovery and development, AI applications in scrutinizing health status, and the benefits of robotics in surgery, analysis of pharmaceutical formulations using AI, role of AI in pharmaceutical drugs, gene therapies, and medical device regulation, etc. Deep Learning (DL) is a function of AI that mimics the activity of the human brain to create patterns for information processing and decision-making. It is a subset of ML in the field of AI that can control learning from unstructured or networked data. This is also referred to as deep neural learning or deep neural network.

Название: Medical-Grade Software Development: How to Build Medical-Device Products That Meet the Requirements of IEC 62304 and ISO 13485
Автор: Ilkka Juuso, Ilpo Poyhonen
Издательство: Routledge
Год: 2024
Страниц: 387
Язык: английский
Формат: pdf (true)
Размер: 13.5 MB

This book is a practical guide to meeting IEC 62304 software-development requirements within the context of an ISO 13485 quality management system (QMS). The book proves this can be done with a minimum amount of friction, overlap, and back-and-forth between development stages. It essentially shows you how you should shape your medical-software development processes to fit in with the QMS processes in the smartest and leanest way possible. By following the advice in this book, you can reuse processes from your QMS, ensure your product-realization processes meet the requirements for medical-software development, and marry all the requirements together using tried and tested solutions into one efficient system. The expertise of the authors here goes beyond just the experiences of one real-world project as they tap into over 30 years of experience and countless software and software-assessment projects to distill their advice.

Название: Number Systems for Deep Neural Network Architectures
Автор: Ghada Alsuhli, Vasilis Sakellariou, Hani Saleh, Mahmoud Al-Qutayri
Издательство: Springer
Год: 2024
Страниц: 100
Язык: английский
Формат: pdf (true), epub
Размер: 11.2 MB

This book provides readers a comprehensive introduction to alternative number systems for more efficient representations of Deep Neural Network (DNN) data. Various number systems (conventional/unconventional) exploited for DNNs are discussed, including Floating Point (FP), Fixed Point (FXP), Logarithmic Number System (LNS), Residue Number System (RNS), Block Floating Point Number System (BFP), Dynamic Fixed-Point Number System (DFXP) and Posit Number System (PNS). The authors explore the impact of these number systems on the performance and hardware design of DNNs, highlighting the challenges associated with each number system and various solutions that are proposed for addressing them. During the past decade, DNNs have shown outstanding performance in a myriad of Artificial Intelligence (AI) applications. Since their success in both speech and image recognition, great attention has been drawn to DNNs from academia and industry, which subsequently led to a wide range of products that utilize them.

Название: Impact Measurement and Outcomes Evaluation Using Salesforce for Nonprofits: A Guide to Data-Driven Frameworks
Автор: Dustin MacDonald
Издательство: Apress
Год: 2023
Страниц: 238
Язык: английский
Формат: pdf, epub
Размер: 10.2 MB

Conduct impact measurement and outcomes evaluation, with a specific focus on nonprofits, using Salesforce Nonprofit Cloud (aka Salesforce for Nonprofits). As funding grows more challenging for nonprofits, having a robust technology system in place allows nonprofits to better seek out funding and receive more when they do. Readers of this book will be better positioned to ensure the long-term success of their organization and make maximum use of their technology. The book begins with an introduction to Salesforce and to Nonprofit Cloud for users who may be new to the platform. Next, you will learn the fundamentals of impact measurement and outcomes evaluation. You will understand why these are important and discover several frameworks that can be used to select outcomes that make sense for your organization to prove that its work is successful. These frameworks include Social Return on Investment (SROI), Cost-Benefit Analysis (CBA), and Pre and Post Comparison (and others). For Salesforce administrators, nonprofit staff members, and others working at nonprofits who are required to conduct impact measurement and outcomes evaluation.

Название: Однокристальные декодеры фирмы STMicroelectronics для цифрового ТВ
Автор: Федоров В.К.
Издательство: СОЛОН-Пресс
Год: 2020
Страниц: 160
Язык: русский
Формат: pdf
Размер: 68.9 MB

Данное руководство является справочным пособием по однокристальным декодерам компании STMicroelectronics, предназначенным для использования в телевизионных приставках (ресиверах), абонентских терминалах и телевизионных приемниках цифровых телевизионных сигналов. Руководство содержит документацию практически на все декодеры ST, начиная с первых интегральных схем, изготовленных по технологии "система-на-кристалле" (SnC) и используемых для приема сигналов стандартной четкости, и заканчивая семейством LIEGE, предназначенным для приема телевизионных сигналов высокой четкости. Помимо описания функциональных устройств однокристальных декодеров, описаны пространственное расположение и назначение их выводов, а также характерные неисправности и методы их устранения, связанные с отказами этих интегральных схем. Данное издание предназначено для всех типов специалистов, занимающихся ремонтом электронной техники, как начинающих, так и имеющих определенный опыт ремонта оборудования в этой области.

Название: Analysis of Epidemiologic Data Using R
Автор: Robert Hirschs
Издательство: Springer
Год: 2024
Страниц: 115
Язык: английский
Формат: pdf (true), epub
Размер: 10.4 MB

This book addresses the description and analysis of occurrence data frequently encountered in epidemiological studies. With the occurrence of Covid-19, people have been exposed to the analysis and interpretation of epidemiological data. To be informed consumers of this information, people need to understand the nature and analysis of these data. Effort is made to emphasize concepts rather than mathematics. Subjects range from description of the frequencies of disease to the analysis of associations between the occurrence of disease and exposure. Those analyses begin with simple associations and work up to complex relationships that involve the control of extraneous characteristics. Analyses rely on the statistical software R, which is freeware in wide use by professional epidemiologists and other scientists. R is free statistical software that is available for download on the web. It is usually run from an interface called “RStudio.” RStudio is set up with four quadrants. The lower left is where the programs are run. The lower right is where the documentation is available and where graphic output appears. Statistical packages for R have been developed by users and made available to the R community. These packages as well as the original collection of programs are available free of charge and are widely used by epidemiologists and other researchers. R has many collections of programs available.

Название: Drone Data Analytics in Aerial Computing
Автор: P. Karthikeyan, Sathish Kumar, V. Anbarasu
Издательство: Springer
Серия: Transactions on Computer Systems and Networks
Год: 2023
Страниц: 282
Язык: английский
Формат: pdf (true), epub
Размер: 57.7 MB

Drone data analytics guarantee that the right people have the correct data at their fingertips whenever needed. Drone flight gathers a Terabyte of data and geo-tagged reference points without traditional ground control. The data automatically uploads to the aerial computing platform. Aerial computing analyzes the data and generates the required output in visualization, graph, and action. This book presents a comprehensive overview of Drone Data Analytics in Aerial Computing, exploring the latest techniques, tools, and technologies in this rapidly growing field. This book aims to provide readers with a comprehensive understanding of drone data analytics and aerial computing. It aims to bridge the gap between the technical and non-technical aspects, making it accessible and understandable to a wide range of readers. The world of AI and Data Science is changing fast, and so are its successor technologies. One of the latest additions to this stack is Federated analytics. Federated Learning (FL) is a way to train centralized Machine Learning models on decentralized data. A dominant application of Federated Learning has been In the medical sector, where data privacy and accuracy are of prime importance. Another application where Federated Learning can make a mark is federated analytics for drone technology.

Название: Data Analysis and Optimization: In Honor of Boris Mirkin's 80th Birthday
Автор: Boris Goldengorin, Sergei Kuznetsov
Издательство: Springer
Год: 2023
Страниц: 447
Язык: английский
Формат: pdf (true)
Размер: 14.7 MB

This book presents the state-of-the-art in the emerging field of Data Science and includes models for layered security with applications in the protection of sites―such as large gathering places―through high-stake decision-making tasks. Such tasks include cancer diagnostics, self-driving cars, and others where wrong decisions can possibly have catastrophic consequences. The manipulability of aggregation procedures for the case of large numbers of voters is analyzed from a theoretical point of view and justified by computational experiments involving at least an order of magnitude larger number of voters. Many tree-type structures are considered: from phylogenetic trees representing the main patterns of vertical descent through consensus trees and super- trees widely used in evolutionary studies to combine phylogenetic information contained in individual gene trees. The statistical part of this book studies an impact of data mining and modeling on predictability assessment of time series. New notions of mean values based on ideas of multicriteria optimization are compared to their conventional definitions leading to fresh algorithmic approaches. To summarize, the book presents methods for automated analysis of patterns and models for data of different nature with applications ranging from scientific discovery to business intelligence and analytics. The style of the written chapters allows to recommend this book for senior undergraduate and graduate data mining courses providing a broad yet in-depth review integrating novel concepts from Machine Learning and statistics.

Название: The Python Handbook
Автор: Flavio Copes
Издательство: Independently published
Год: 2023
Язык: английский
Формат: pdf, epub
Размер: 14.0 MB

Python is literally eating the programming world. It is growing in popularity and usage in ways that are pretty much unprecedented in the history of computers. There is a huge variety of scenarios that Python excels in. Shell scripting, task automation, Web development are just some basic examples. Python is the language of choice for data analysis and machine learning, but it can also adapt to create games and work with embedded devices. Most importantly, it's the language of choice for introductory computer science courses in universities all around the world. Many students learn Python as their first programming language. Many are learning it right now, many will learn it in the future. And for many of them, Python will be the only programming language they need. Thanks to this unique position, Python is likely going to grow even more in the future. The language is simple, expressive, and it's quite straightforward. The ecosystem is huge. There seems to be a library for everything you can imagine. Python is a high-level programming language suitable for beginners thanks to its intuitive syntax, its huge community and vibrant ecosystem.