Lakshmikantham 
Random Differential Inequalities [PDF ebook] 

This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs) . DNNs are currently widely used for many artificial in …

An emerging interdisciplinary field of study in the realm of academia has been quantum computing and its various applications. The rapid rate of progress of this advancing technology as well as its m …

Python GUI with Py Qt is an invaluable guide for both novice and experienced programmers who want to master the art of creating visually appealing and interactive graphical user interfaces (GUIs) for …

Neural Network Computer Vision with Open CV equips you with professional skills and knowledge to build intelligent vision systems using Open CV. It creates a sequential pathway for understanding morp …

This volume provides a comprehensive introduction to foundational topics in sound design for linear media, such as listening and recording; audio postproduction; key musical concepts and forms such a …

The metaverse has been a topic of conversation for a long time, but it still remains loosely defined. Some see it as a game in the virtual world, while others see it as a more connected version of th …

The Potential of Generative AI invites you for a captivating journey into the revolutionary technology, where machines become co-creators and the line between imagination and reality blurs. You will …

The second edition of "Machine Learning for Beginners" addresses key concepts and subjects in machine learning. The book begins with an introduction to the foundational principles of machin …

This book provides an overview of Federated Learning and how it can be used to build real-world AI-enabled applications. Real-world AI applications frequently have training data distributed in many d …