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Intelligent Technologies for Automated Electronic Systems

Автор: literator от 16-04-2024, 03:32, Коментариев: 0

Категория: КНИГИ » АППАРАТУРА

Название: Intelligent Technologies for Automated Electronic Systems
Автор: S. Kannadhasan, R. Nagarajan, N. Shanmugasundaram, Jyotir Moy Chatterjee
Издательство: Bentham Books
Год: 2024
Страниц: 234
Язык: английский
Формат: pdf (true)
Размер: 48.4 MB

This volume explores a diverse range of applications for automated Machine Learning and predictive analytics. The content provides use cases for Machine Learning in different industries such as healthcare, agriculture, cybersecurity, computing and transportation. The major objective of Smart Electronic Systems is to provide a platform where researchers from the fields of hardware and software may work together under one roof to speed up the development of smart electronic systems. Effective and secure data sensing, storage, and processing are essential in today's information age. Modern smart electronic systems meet the criteria of effective sensing, storage, and processing. Effective techniques and software that allow for a quicker analysis and retrieval of necessary data are simultaneously becoming more important. The internet world now includes big data, which comprises large, complex data collections. It is becoming harder to store and analyse the vast amount of structured and unstructured data that has to be collected. With concurrent hardware and software development, the Internet of Things (IoT) and cyber-physical systems (CPS) have been growing to include everyday consumer electronics. The effectiveness and performance of current and next generations of computing and information processing systems depend on advancements in both hardware and software. Some of the focused areas in this field include memristor and memristive systems, advanced 3D IC technologies, design methodologies, and 3D pacing. Others include molecular electronics, biosensors, bio-molecular and biologically inspired computing, nanoelectronics for energy harvesting, spintronics, domain-wall and phase-change memories, and nanoelectronics for energy harvesting.
 

Software Project Management: Methods and Techniques

Автор: literator от 16-04-2024, 02:31, Коментариев: 0

Категория: КНИГИ » ПРОГРАММИРОВАНИЕ

Название: Software Project Management: Methods and Techniques
Автор: Lawrence J. Peters
Издательство: CRC Press
Год: 2024
Страниц: 245
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

The management of a software project has been shown to be the number one factor in determining a software development project’s success. It has been found that most software projects fail because of poor management. Not surprisingly, most software development managers have not been trained in project management. Software Project Management: Methods and Techniques aims to remedy this situation in two ways: familiarizing software developers with the elements of the project management discipline and providing fact-based resources on practicing software project management. Much like the checklist pilots go through prior to a flight, this book provides a pre-project checklist which enables the software engineering team to review and evaluate an extensive set of technical and sociopolitical risks which will help the software project manager and the team determine the project team’s chances of success. This same list and the individual question responses can be used later as part of the project’s closeout process helping team members to improve their individual and collective abilities to assess risk. Intended for both students and software project managers, the book is organized along the lines of the five major functions of a software project manager: planning; scheduling and costing; controlling; staffing; and motivating. The basics of each of these functions are presented in a single chapter.
 

Комнатный цветник № 1, 2018. Шпаргалка цветовода

Автор: Tetyanka_ от 16-04-2024, 02:30, Коментариев: 0

Категория: ЖУРНАЛЫ » ДОМ И САД

Название: Комнатный цветник. Шпаргалка цветовода
Номер/дата выпуска: 1 (20), февраль, 2018
Издательство: Толока
Страниц: 64
Формат: PDF
Размер: 53.5 Мб
Язык: русский

Это журнал-"помощник" для любителей комнатных цветов. Каждый номер посвящен определенной теме. Вы узнаете, как ухаживать за своими любимцами, защищать их от болезней и вредителей, правильно поливать, прививать, пересаживать. Своим опытом выращивания и ухода за цветами делятся цветоводы-любители и профессионалы — кандидаты и доктора биологических наук.
Тема выпуска: "Шпаргалка цветовода": раскрываем секреты.
У цветоводов, а тем более "новичков" - всегда уйма вопросов: когда лучше обрезать цветущие комнатные растения, черенковать ли, какие купить семена, чтобы правильно посеять и вырастить себе "любимчика", какие тонкости ухода и секреты пышного цветения
 

Stochastic Methods in Scientific Computing: From Foundations to Advanced Techniques

Автор: literator от 16-04-2024, 01:40, Коментариев: 0

Категория: КНИГИ » ПРОГРАММИРОВАНИЕ

Название: Stochastic Methods in Scientific Computing: From Foundations to Advanced Techniques
Автор: Massimo D’Elia, Kurt Langfeld, Biagio Lucini
Издательство: CRC Press
Год: 2024
Страниц: 401
Язык: английский
Формат: pdf (true)
Размер: 10.3 MB

Stochastic Methods in Scientific Computing: From Foundations to Advanced Techniques introduces the reader to advanced concepts in stochastic modelling, rooted in an intuitive yet rigorous presentation of the underlying mathematical concepts. A particular emphasis is placed on illuminating the underpinning Mathematics, and yet have the practical applications in mind. The reader will find valuable insights into topics ranging from Social Sciences and Particle Physics to modern-day Computer Science with Machine Learning and AI in focus. The book also covers recent specialised techniques for notorious issues in the field of stochastic simulations, providing a valuable reference for advanced readers with an active interest in the field. Alongside the advances in computer hardware and the steady increase of available computer resources, computer simulations for advanced scientific computing have enjoyed an upsurge in interest. Practitioners and scientists realised that many applications have stochastic elements for a number of reasons: the lack of data is compensated by a stochastic model replacing those data; a deterministic description of a system is neither possible nor desirable. The Data Science revolution over the last decade has delivered many practical solutions using algoritms called Machine Learning (ML) or Artificial Intelligence (AI). It has triggered a proliferation of tools for everyday life with tremendous impacts, such as speech recognition, voice, image and video generation and medical and other expert systems to name just a few.
 
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