Post under History of Computing, Computational Simulations and Modeling

This book explores a media history of simulation to excavate three salient aspects of digital culture, profiles simulation as cultural technique, enabling symbolic work and foregrounding hypothetical literacy.

Post under Virtual Reality and Virtual Worlds

Virtual Reality is the next new frontier for Silicon Valley. The fantasies that underpin common perceptions of Virtual Reality - and what we need to know about VR’s potential risks as well as its opportunities.

Post under Computer Vision and Digital Signal Processing (DSP)

This open access book delves into the fundamental principles and cutting-edge techniques of plenoptic imaging and processing. Plenoptic imaging aims to detect and reconstruct multidimensional and multiscale information from light rays in space.

Post under Embedded Systems

Presents the results of the "Collaborative Embedded Systems" (CrESt) project, aimed at adapting and complementing the methodology underlying modeling techniques developed to cope with the challenges of collaborative embedded systems (CESs)

Post under Embedded Systems

This Open Access book provides a comprehensive view from leading researchers with respect to the past, present, and future of the design of embedded and cyber-physical systems.

Post under Computational Linguistics

This open access book introduces a general framework that allows natural language researchers to enhance existing competence theories with fully specified performance and processing components.

Post under Deep Learning and Neural Networks

Proposes a novel deep learning based detection method, focusing on vehicle detection in aerial imagery recorded in top view. A lightweight CNN architecture is proposed as base architecture and a novel module that restricts the search area is introduced.

Post under Artificial Intelligence (AI)

As algorithmic data processing increasingly pervades everyday life, it is also making its way into the worlds of art, literature and music. In doing so, it shifts notions of creativity and evokes non-anthropocentric perspectives on artistic practice.

Post under Neural Networks

An elegant, compact book that renders visible the too-often naturalized equation of brain and computer. A critical examination of the figure of the neural network as it mediates neuroscientific and computational discourses and technical practices.

Post under Python Programming

This book offers a quick and incisive introduction to Python programming for anyone. It has carefully developed a concise approach to using Python in any discipline of science and engineering, with plenty of examples, practical hints, and insider tips.

Post under Reinforcement Learning

The purpose of the course is to give an overview of the Reinforcement Learning (RL) methodology, particularly as it relates to problems of optimal and suboptimal decision and control, as well as discrete optimization.

Post under Database Theory and Systems

Replicating a database can make our apps faster and increase our tolerance to failures, but there are a lot of different options available and each one comes with a price tag. Reduce the effort in the Database Replication work to be done to get problems solved.

Post under Real-Time Systems, Embedded Systems, Microcontrollers, etc.

This is a concise, step by step, 'hands on' guide that describes both general multitasking concepts and FreeRTOS specifics. It presents and explains numerous examples that are written using the FreeRTOS API.

Post under Microcontrollers, etc., C Programming, Embedded Systems

Explore the 8051 and discover C programming through project work. Through graded projects, it introduces the reader to the fundamentals of microelectronics, the 8051 family, programming in C, and the use of a C compiler.

Post under MATLAB Programming, Mathematical Software

The goal of this book is to provide you with skills in scientific computing: tools and techniques that you can use in your own scientific research. We will focus on learning to think about experiments and data in a computational framework.

Post under Data Science, Data Analysis, Python Programming

The main goal is to help people take the best actionable steps possible towards a career in data science. For Everything A Data Scientist Needs to Know: Python, Linear Algebra, Statistics, Coding, Applications, Neural Networks, and Decision Trees.

Post under Microsoft .NET Programming, C# Programming, Web API

Build fully-featured APIs with ASP.NET Core! This all-practical guide is written like a real development project, taking you hands-on with modern APIs utilizing REST and GraphQL standards.

Post under Linear Algebra, Machine Learning, Computer Vision, Robotics

This book provides the mathematical fundamentals of linear algebra to practicers in computer vision, machine learning, robotics, applied mathematics, and electrical engineering.

Post under Electronics Circuit Design, Verilog, Electronic Engineering

Integrate coverage of logic design principles, Verilog as a hardware design language, and FPGA implementation. Present Verilog constructs side-by-side with hardware, encouraging you to think in terms of desired hardware while writing Verilog.

Post under Real-Time Systems and Embedded Systems

This book is a comprehensive text for the design of safety critical, hard real-time embedded systems. It offers a splendid example for the balanced, integrated treatment of systems and software engineering, etc.

Post under Embedded Systems, C++ Programming, C Programming

This book explores various programming languages such as C, C++, and assembly language, and discussed their strengths and weaknesses in the context of embedded systems.

Post under Python Programming, Object-Oriented (OOD/OOP), Computer Programming

An intuitive and thorough guide to mastering object-oriented programming from the ground up. Cover the basics of building classes and creating objects, and put theory into practice with clear examples that help visualize the object-oriented style.

Post under Fractal Geometry and Fractals on Sat Dec 23, 2023

This is a mathematically rigorous introduction to Fractals which emphasizes examples and fundamental ideas. Building up from basic techniques of geometric measure theory and probability. Chapters are designed to be read independently.

Post under COBOL Programming on Sat Dec 23, 2023

This book is a comprehensive guide designed to engage and empower readers, ensuring they not only learn COBOL but also stay curious and eager to explore its depths. You'll never feel overwhelmed as you gradually build your COBOL skills.

Post under Computer, Digital, and Mathematical Music on Sat Dec 30, 2023

This book chronicles the history of Center for Computer Research in Music and Acoustics (CCRMA), tracing its origins in Stanford's Artificial Intelligence Laboratory through its present-day influence on Silicon Valley and digital music groups worldwide.

Post under Neural Networks and Deep Learning on Sat Dec 30, 2023

This fundamental book on Artificial Neural Networks (ANN) has its emphasis on clear concepts, ease of understanding and simple examples. It presents a large variety of standard neural networks with architecture, algorithms and applications.

Post under Physics and Quantum Computing on Sat Dec 30, 2023

This book presents the deterministic view of quantum mechanics developed by Nobel Laureate Gerard 't Hooft. The author gives examples of models that are classical in essence, but can be analysed by the use of quantum techniques.

Post under Numerical Analysis and Linear Algebra on Sat Jan 06, 2024

This book is intended for researchers in applied mathematics and scientific computing as well as for practitioners interested in understanding the theory of numerical methods used for eigenvalue problems.