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Название: Handbook of Artificial Intelligence and Data Sciences for Routing Problems
Автор: Carlos A.S. Oliveira, Miltiades P. Pardalos
Издательство: Springer
Год: 2025
Страниц: 273
Язык: английский
Формат: pdf
Размер: 10.8 MB

This handbook delves into the rapidly evolving field of Artificial Intelligence (AI) and optimization, focusing on the intersection of Machine Learning, combinatorial optimization, and real-world applications in transportation and network design. Covering an array of topics from classical optimization problems such as the Traveling Salesman Problem and the Knapsack Problem, to modern techniques including advanced heuristic methods, Generative Adversarial Networks, and Variational Autoencoders, this book provides a roadmap for solving complex problems. The included case studies showcase practical implementations of algorithms in predicting route sequences, traffic management, and eco-friendly transportation. This comprehensive guide is essential for researchers, practitioners, and students interested in AI and optimization.

Название: Алгоритмический язык СИ. Примеры и задания. Части 1-2
Автор(ы): Парасич И.В.
Издательство: Лань
Год: 2024
Страниц: 72 и 65
Формат: PDF
Размер: 11 Мб
Язык: русский

Пособие представляет собой сборник заданий, предназначенных для изучения алгоритмического языка СИ. В первой части пособия задания сгруппированы в параграфы по изучаемым темам курса. В начале каждого параграфа приведены краткие теоретические сведения по теме и примеры программного кода с подробными комментариями, иллюстрирующие применение рассматриваемого материала. Во второй части пособия собрано большое количество задач для программирования, которые могут использоваться в качестве индивидуальных и семестровых заданий.

Название: C++ Step by Step: A Practical Guide with Examples
Автор: William E. Clark
Издательство: Nobtrex L.L.C.
Год: 2025
Страниц: 532
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

This book offers a comprehensive, precise, and practical approach to mastering C++ programming. It is meticulously designed to guide readers through the intricacies of the language, starting from the very basics and steadily advancing to more complex concepts. The clear and concise explanations, supported by practical examples, ensure that learners can grasp both fundamental and advanced elements of C++ with ease. The content is organized in a logical and methodical manner, providing a robust foundation in core programming concepts while gradually introducing specialized topics such as object-oriented programming, memory management, and modern C++ features. Readers will benefit from detailed discussions on syntax, control structures, error handling, and the effective utilization of the Standard Template Library, all of which contribute to building a solid command of the language.

Название: Scaling Responsible AI: From Enthusiasm to Execution
Автор: Noelle Russell
Издательство: Wiley
Год: 2025
Страниц: 352
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.1 MB

Implement AI in your organization with confidence while mitigating risk with responsible, ethical guardrails. Much like a baby tiger in the wild, Artificial Intelligence (AI) is almost irresistibly alluring. But, just as those tiger cubs inevitably grow up into formidable and fierce adults, the dangers and risks of AI make it a force unto itself. Useful and profitable, yes, but also inherently powerful and risky. In Scaling Responsible AI: From Enthusiasm to Execution, celebrated speaker, AI strategist, and tech visionary Noelle Russell delivers an exciting and fascinating new discussion of how to implement Artificial Intelligence responsibly, ethically, and profitably at your organization. Scaling Responsible AI equips executives, managers, and board members with the knowledge and responsibility to make smart AI decisions. Avoid compliance disasters, brand damage, or wasted resources on AI that fails to deliver. Implement Artificial Intelligence that drives profits, innovation, and competitive edge—the responsible way.

Название: Generative Machine Learning Models in Medical Image Computing
Автор: Le Zhang, Chen Chen, Zeju Li, Greg Slabaugh
Издательство: Springer
Год: 2025
Страниц: 373
Язык: английский
Формат: pdf
Размер: 29.7 MB

Generative Machine Learning Models in Medical Image Computing" provides a comprehensive exploration of generative modeling techniques tailored to the unique demands of medical imaging. This book presents an in-depth overview of cutting-edge generative models such as GANs, VAEs, and diffusion models, examining how they enable groundbreaking applications in medical image synthesis, reconstruction, and enhancement. Covering diverse imaging modalities like MRI, CT, and ultrasound, it illustrates how these models facilitate improvements in image quality, support data augmentation for scarce datasets, and create new avenues for predictive diagnostics. Beyond technical details, the book addresses critical challenges in deploying generative models for healthcare, including ethical concerns, interpretability, and clinical validation. With a strong focus on real-world applications, it includes case studies and implementation guidelines, guiding readers in translating theory into practice. By addressing model robustness, reproducibility, and clinical utility, this book is an essential resource for researchers, clinicians, and data scientists seeking to leverage generative models to enhance biomedical imaging and deliver impactful healthcare solutions. Combining technical rigor with practical insights, it offers a roadmap for integrating advanced generative approaches in the field of medical image computing.

Название: Mastering Concurrency and Parallel Programming: Unlock the Secrets of Expert-Level Skills
Автор: Larry Jones
Издательство: Walzone Press
Год: 2025
Страниц: 512
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Unlock the full potential of modern computing with "Mastering Concurrency and Parallel Programming: Unlock the Secrets of Expert-Level Skills." Designed for experienced programmers eager to enhance their expertise, this comprehensive guide delves into the intricate world of concurrency and parallelism. As computing power becomes more sophisticated, understanding and applying these concepts are crucial for crafting efficient and scalable software solutions. This book stands as an essential resource, offering in-depth coverage of foundational principles and advanced techniques to navigate the complexities of multi-core processors and distributed systems. Within its pages, readers will explore the core strategies that underpin effective thread management, synchronization, and task parallelism, gaining insights into both lock-based and lock-free algorithms. Practical case studies, enriched with real-world examples, provide a clear pathway to mastering intricate concurrency patterns, memory models, and the debugging tools essential for robust concurrent application development. The inclusion of advanced topics like transactional memory and speculative execution keeps readers at the forefront of technological innovation, equipping them to tackle cutting-edge challenges with confidence and precision.

Название: Blender Scripting with Python: Automate Tasks, Write Helper Tools, and Procedurally Generate Models in Blender 4
Автор: Isabel Lupiani
Издательство: Apress
Год: 2025
Страниц: 502
Язык: английский
Формат: pdf (true), epub (true)
Размер: 22.8 MB

Learn to automate tasks, develop custom extensions, and procedurally generate meshes in Blender. This book will show you how to streamline virtually every stage of the 3D modeling pipeline for your next game or animation project. Start with a hands-on introduction to the Blender Python API and dive right into basics like loading/running scripts and turning hand-modelling steps into Python by capturing them in the Info Editor. Then experiment with Blender menu options, typing them into the Python console and watch things move in the viewport. You'll also dissect with Blender-shipped add-ons and take advantage of built-in templates to quickly create new scripts. With a firm grasp of scripting basics, you'll start to develop your own add-ons for editing and generating models. Then add more advanced mesh edits like extrude and loop cut-and-slides to your script, and essentials for shaping mesh elements like merge, bevel, and so on. Putting it altogether, you'll create an extension to procedurally generate stylized fire hydrants with parametric controls. New and seasoned users of the Blender Python API, that have either some experience with Blender or some experience with general Python development.

Название: Mastering C++ Error Handling: Unlock the Secrets of Expert-Level Skills
Автор: Larry Jones
Издательство: Walzone Press
Год: 2025
Страниц: 550
Язык: английский
Формат: epub (true)
Размер: 11.8 MB

Unlock the full potential of your C++ programming, as you delve into the intricacies of error handling with "Mastering C++ Error Handling: Unlock the Secrets of Expert-Level Skills." This comprehensive guide is meticulously crafted for seasoned developers seeking to elevate their understanding and mastery of error management. By emphasizing advanced techniques and best practices, this book empowers you to develop resilient applications that gracefully navigate and recover from unexpected conditions and failures. Explore an expansive range of topics from the foundational principles of C++ error handling to sophisticated debugging methodologies and the integration of error handling strategies with external libraries. Each chapter offers in-depth analysis and practical insights, equipping you with a robust toolkit designed to tackle even the most complex error scenarios in multi-threaded and concurrent programming environments. With an emphasis on performance optimization and seamless software integration, this book ensures that your applications are both efficient and reliable.

Название: Safety Assurance under Uncertainties: From Software to Cyber-Physical/Machine Learning Systems
Автор: Ichiro Hasuo, Fuyuki Ishikawa
Издательство: CRC Press
Год: 2025
Страниц: 348
Язык: английский
Формат: epub (true)
Размер: 17.2 MB

Safety assurance of software systems has never been as imminent a problem as it is today. Practitioners and researchers who work on the problem face a challenge unique to modern software systems: uncertainties. For one, the cyber-physical nature of modern software systems as exemplified by automated driving systems mandates environmental uncertainties to be addressed and the resulting hazards to be mitigated. Besides, the abundance of statistical Machine Learning components massive numerical computing units for statistical reasoning such as deep neural networks make systems hard to explain, understand, analyze or verify. Testing is an “activity in which a system or component is executed under specified conditions, the results are observed or recorded, and an evaluation is made of some aspect of the system or component”. Testing has been one of the key activities for quality assurance in software-intensive systems. The recent advance of Machine Learning (ML) techniques, especially Deep Learning, has led to active investigation towards their industrial applications. Beforehand, ML techniques were target of laboratory research and the primary concern was on the prediction performance.

Название: Unit Oriented Enterprise Architecture: Constructing Large Sociotechnical Systems in the Age of AI
Автор: Andre Milchman
Издательство: Apress
Год: 2025
Страниц: 445
Язык: английский
Формат: pdf (true), epub (true)
Размер: 45.4 MB

Examine a new approach to Enterprise Architecture (EA) that challenges conventional practices and supports a transformative shift to address the demands of a rapidly evolving technological landscape. This book offers alternatives to traditional EA methods that often divide the enterprise into isolated business, application, data, and technology architectures, often resulting in disjointed operations and missed opportunities for innovation. Unit Oriented Enterprise Architecture is your essential resource for system architects, organizational leaders, IT professionals, and students seeking to revolutionize their approach to enterprise architecture and position their organizations for success in the digital age. Primary Audience: Enterprise architects, organizational leaders, IT professionals; Secondary Audience: Consultants, advisors, and policymakers; Tertiary Audience: Students in system design and organizational studies, academic researchers.