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The book Architectures of Digital Knowledge: Exploring Structured Computing and Computer Vision delves into the theoretical and practical foundations that underpin the intelligent processing of digital information, with a focus on computer architectures and computer vision techniques. The book explores fundamental concepts of structured computing, algorithms, neural networks and image processing, presenting how these technologies work together to interpret and transform visual data into applicable knowledge.Aimed at students, researchers and professionals in the fields of computer science, engineering and technology, the book offers a balanced combination of theory and practice, with examples, case studies and challenges that stimulate the development of innovative solutions to complex problems in fields such as automation, robotics, health and safety.By integrating mathematical, architectural and computational foundations, this book contributes to the critical and technical training of readers, preparing them to operate in a constantly evolving digital landscape, where structured knowledge is key to innovation and efficiency in the treatment of visual information.