Osvaldo Gervasi 
Computational Science and Its Applications – ICCSA 2007 [PDF ebook] 
International Conference, Kuala Lumpur, Malaysia, August 26-29, 2007. Proceedings, Part II

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 ideal reference source for CEOs, marketing and sales managers, sales consultants, and students of international marketing, Guide to Software Export provides a step-by-step approach to initiating o …

The signal processing (SP) landscape has been enriched by recent advances in artificial intelligence (AI) and machine learning (ML), yielding new tools for signal estimation, classification, predicti …

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 …

Transform your business landscape with the formidable prowess of large language models (LLMs). The book provides you with practical insights, guiding you through conceiving, designing, and implementi …

To understand the dynamic patterns of behaviours and interactions between athletes that characterize successful performance in different sports is an important challenge for all sport practitioners. …

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 …

Not only does almost everyone in the civilized world use a personal computer, smartphone, and/or tablet on a daily basis to communicate with others and access information, but virtually every other m …

The research and exploitation of optoelectronic properties in the industrial branch of electronics is becoming more popular each day due to the important role they play in the development of a large …

The proclivity of today’s technology to think like humans may be seen in new developing disciplines such as neural computing, fuzzy logic, evolutionary computation, machine learning, and probabilisti …