Название: Computational Imaging and Analytics in Biomedical Engineering: Algorithms and Applications
Автор: T.R. Ganesh Babu, U. Saravanakumar, Balachandra Pattanaik
Издательство: Apple Academic Press/CRC Press
Серия: AAP Series on Digital Signal Processing, Computer Vision and Image Processing
Год: 2024
Страниц: 356
Язык: английский
Формат: pdf (true)
Размер: 27.9 MB

This new book focuses on mathematical and numerical methods for medical images and data. The book presents the various mathematical modeling techniques, numerical analysis, computing and computational techniques, and applications of machine learning for medical images and medical informatics. It also focuses on programming concepts using MATLAB and Python for medical image and signal analytics. The volume demonstrates the use of computational techniques and tools such as Machine Learning, deep neural networks, Artificial Intelligence (AI) and human-computer interaction ,fusion methods for CT and pet images, etc., for diagnosis of brain disorders, cervical cancer, lung disease, melanoma, atrial fibrillation and other circulatory issues, dental images, diabetes, and other medical issues. For further simplification and optimization, emerging techniques such as neural networks, Machine Learning, Deep Learning (DL), and Artificial Intelligence (AI) are adapted for feature extraction of medical images, medical image segmen­tation, and image-based bio-models. Image categorization, object identifica­tion, pattern recognition, and reasoning are just a few of the principles that are examined in medical imaging. By extracting meaningful patterns for a specific condition, they are employed in medical imaging to improve accu­racy. They also aid in the process of deciding on a course of action. Using Machine Learning to improve medical imaging is a trend that will continue in the future.

Название: Generative Art with jаvascript and SVG: Utilizing Scalable Vector Graphics and Algorithms for Creative Coding and Design
Автор: David Matthew
Издательство: Apress
Год: 2024
Страниц: 237
Язык: английский
Формат: pdf, epub
Размер: 11.3 MB

This book introduces you to the exciting world of generative art (artwork that are solely or partially created with the use of an autonomous system) through the medium of SVG and jаvascript. More specifically, it will teach the use of Graphery SVG (gySVG), a jаvascript library that closely mirrors the SVG spec and makes scripting SVG very intuitive and enjoyable. Armed with gySVG, the reader will be taught tried and trusted techniques in producing generative imagery. Each chapter will build upon the previous one, and those completely new to programming will be given a primer to help them find their feet. Beginning with a simple generative sketch that illustrates, and then explains, fundamental programming concepts such as variables, data types, operators, loops, conditionals and functions - the reader will go on to explore the power of Scalable Vector Graphics, how to play with randomness and regularity, how to use noise to create organic variance, and how to make sketches interactive and dynamic. More advanced topics will then be tackled, such as paths, filter effects, trigonometry, shape packing, flow fields and fractals. For web developers and designers and creative coders with an interest in digital and generative art as well as artists who are interested in learning to code with jаvascript.

Название: Scratch 3 для юных программистов
Автор: Голиков Д.
Издательство: БХВ-Петербург
Год: 2020
Cтраниц: 165, цвет.ил.
Формат: pdf
Размер: 42 мб
Язык: русский

Юные программисты узнают о логических и математических операторах, циклах и условиях, научатся создавать забавные рисунки и узоры, музыкальные проекты, мультфильмы и веселые игры, которые будут работать на всех устройствах – и на смартфонах, и на планшетах, и на компьютерах.

Название: Google Gemini for Python: Coding with Bard
Автор: Oswald Campesato
Издательство: Mercury Learning and Information
Год: 2024
Страниц: 203
Язык: английский
Формат: pdf (true), epub (true)
Размер: 10.1 MB

This book provides a bridge between the worlds of Python 3 programming and Generative AI, aiming to equip readers with the skills to navigate both domains with confidence. It begins with an introduction to fundamental aspects of Python programming, which include various data types, number formatting, Unicode and UTF-8 handling, and text manipulation techniques. In addition, you will learn about loops, functions, data structures, NumPy, Pandas, conditional logic, and reserved words in Python. Further chapters show how to handle user input, manage exceptions, and work with command-line arguments. The text then transitions to the realm of Generative AI, discussing its distinction from Conversational AI. Popular platforms and models, including Bard (now called “Gemini”) and its competitors, are presented to give readers an understanding of the current AI landscape. The book discusses the capabilities of Bard, its strengths, weaknesses, and potential applications. Finally, you will learn how to generate a variety of Python 3 code samples via Bard. This book is intended primarily for people who want to learn both Python and how to use Bard with Python.

Название: Java Beginners To Advance: Beginners to Advance Java Programming Simply Follow The Steps Course is Designed in Such a Way That User Can Learn Easily
Автор: Amit K
Издательство: Independently published
Год: 2024
Страниц: 469
Язык: английский
Формат: pdf
Размер: 33.3 MB

Beginners to Advance Java Programming Simply Follow The Steps Course is Designed in Such a Way That User Can Learn Easily. Become Java Expert With This Concise Guide To The Most Versatile Programming Language in Software Industry. Designed for absolute beginners, Java For Beginners is a powerful primer to the world's most adaptable language. It explains complex programming ideas in a simple and easy-to-understand manner, allowing you to acquaint yourself with the program very quickly. Simplicity sets this book apart from all the others. This book contains proven strategies to learn Java programming in a short time.In this book, you’ll be able to easily understand each line of code with added explanations and comments for each code. Are you interested in learning the ins and outs of backend development? Have you learned the basics of the Java computer programming language and want to take your learning further? Then you've picked up the right guide.

Название: 250+ Killer TypeScript One-Liners: Transform your code into powerful solutions
Автор: Hernando Abella
Издательство: Aluna Publishing House
Год: 2024
Страниц: 292
Язык: английский
Формат: pdf
Размер: 21.3 MB

"TypeScript is broadly used by developers in Google, Facebook, Microsoft, and many more". Welcome to a coding adventure like no other! '250+ Killer TypeScript One-Liners' is your passport to mastering the intricacies of TypeScript. Inside, discover a collection of powerful, concise code snippets that will transform the way you write and think about TypeScript. Whether you're a seasoned developer or just starting, this book is your gateway to unlocking the true potential of the language. Join us as we delve into the art of crafting code that not only solves problems but does so elegantly and efficiently. Get ready to elevate your coding game with every line you write!

Название: Stock Trading with Python: Strategies to build & Profit from Algorithmic Trading Programs
Автор: Hayden Van Der Post
Издательство: Reactive Publishing
Год: 2024
Страниц: 643
Язык: английский
Формат: pdf
Размер: 33.8 MB

In "Stock Trading with Python," embark on a journey into the world of algorithmic trading and discover how Python can revolutionize your approach to the stock market. This comprehensive guide combines theoretical knowledge with practical applications, empowering both beginners and seasoned traders to harness the power of automation and data analysis. Dive deep into the Python programming language and unlock its potential for trading automation. Learn to leverage libraries like Pandas, NumPy, and Matplotlib to analyze market data, implement trading strategies, and visualize results with ease. Explore a diverse range of proven trading strategies, from simple moving averages to advanced Machine Learning algorithms. Each strategy is explained in detail, with step-by-step instructions and code examples for implementation. "Stock Trading with Python" is your definitive guide to navigating the complexities of the stock market with confidence and proficiency. Whether you're a novice trader seeking to automate your strategies or an experienced investor looking to enhance your skills, this book equips you with the knowledge and tools needed to succeed in today's ever-evolving financial landscape. Unlock the potential of Python and transform your approach to stock trading today!

Название: Optimal Event-Triggered Control Using Adaptive Dynamic Programming
Автор: Sarangapani Jagannathan, Vignesh Narayanan, Avimanyu Sahoo
Издательство: CRC Press
Год: 2024
Страниц: 346
Язык: английский
Формат: pdf (true)
Размер: 22.6 MB

Optimal Event-triggered Control using Adaptive Dynamic Programming discusses event triggered controller design which includes optimal control and event sampling design for linear and nonlinear dynamic systems including networked control systems (NCS) when the system dynamics are both known and uncertain. The NCS are a first step to realize cyber-physical systems (CPS) or industry 4.0 vision. The authors apply several powerful modern control techniques to the design of event-triggered controllers and derive event-trigger condition and demonstrate closed-loop stability. Detailed derivations, rigorous stability proofs, computer simulation examples, and downloadable MATLAB codes are included for each case. In this section, we will provide a concise overview of artificial neural networks (NN), emphasizing aspects most pertinent to their applications in closed-loop control of dynamical systems. Numerous other neural network architectures, such as Long Short-Term Memory (LSTMs) networks, autoencoders, Generative Adversarial Networks (GANs), transformers, graph neural networks, reservoir networks, graph convolutional networks, and more advanced generative networks like diffusion models, have been introduced.

Название: Many-Sorted Algebras for Deep Learning & Quantum Technology
Автор: Charles R. Giardina
Издательство: Morgan Kaufmann/Elsevier
Год: 2024
Страниц: 423
Язык: английский
Формат: pdf (true), epub (true)
Размер: 14.2 MB

Many-Sorted Algebras for Deep Learning and Quantum Technology presents a precise and rigorous description of basic concepts in Quantum technologies and how they relate to Deep Learning and Quantum Theory. Current merging of Quantum Theory and Deep Learning techniques provides a need for a text that can give readers insight into the algebraic underpinnings of these disciplines. Although analytical, topological, probabilistic, as well as geometrical concepts are employed in many of these areas, algebra exhibits the principal thread. This thread is exposed using Many-Sorted Algebras (MSA). In almost every aspect of Quantum Theory as well as Deep Learning more than one sort or type of object is involved. For instance, in Quantum areas Hilbert spaces require two sorts, while in affine spaces, three sorts are needed. Both a global level and a local level of precise specification is described using MSA.

Название: AI for Absolute Beginners: A Clear Guide to Tomorrow
Автор: Oliver Theobald
Издательство: Scatterplot Press
Серия: AI, Data Science, Python & Statistics for Beginners
Год: 2023
Страниц: 209
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.1 MB

Curious about AI but feeling lost at the same time? Well, look no further! AI for Absolute Beginners is your guide to demystifying complex AI concepts and providing you with a solid foundation to step into and stay ahead in the new AI era. In this accessible and comprehensive book, we start from scratch, assuming no prior knowledge. Each chapter is carefully crafted to guide you through the fundamental concepts and practical applications of AI, including Machine Learning, generative AI, and Deep Learning. With clear and plain English explanations, you'll be surprised at how quickly you can start thinking and speaking fluently in the words and mindset of an AI expert! From self-driving cars to large language models, the ability of Deep Learning to learn from raw data and process large datasets has dramatically broadened the use cases for Artificial Intelligence (AI). However, like all technologies, Deep Learning has its own unique limitations and challenges that we will examine in this chapter. Before we dive in, it’s important to explain the connection between Deep Learning and Machine Learning. Machine Learning, as discussed, involves algorithms and models that improve with experience and exposure to data. As a subfield of Machine Learning, Deep Learning takes the foundational principles of Machine Learning and applies its own techniques to even larger and more complex datasets. This involves the use of artificial neural networks with deep and multiple layers stacked together to form a model.