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This Reprint comprises all of the accepted articles published as part of the Special Issue “Mathematical Methods and Applications for Artificial Intelligence and Computer Vision”. The aim of this Special Issue was to publish recent theoretical and applied studies in computational intelligence and related fields, with a particular focus on computer vision. Our goal was to inspire researchers…
This open access book revolves around predictive mathematical modelling and simulation of brain multiphysics with an emphasis on cerebrospinal fluid flow and solute transport in and around the human brain. The book consists of 10 self-contained and relatively short chapters, each offering a rapid introduction to a key problem or topic, supported by open source software. Readers will gain insigh…
The areas of machine learning and deep learning have experienced impressive progress in recent years. This progress has mainly been driven by the availability of high processing performance at an affordable cost and a large quantity of data. Most state-of-the-art techniques today are based on deep neural networks or the more recently proposed transformers. This progress has sparked innovations …
The simultaneous availability of large datasets and high-performance computing capability in recent years has enabled the rapid development of powerful machine learning algorithms. On the one hand, state-of-the-art machine learning techniques have transformed many areas of science and engineering; on the other hand, theoretical discoveries in mathematical algorithms, differential equations, and…
David Bailin, Alexander Love.
A reinterpretation of James Lovelock's Gaia Hypothesis through the lens of Darwinian natural selection and multispecies community evolution. First conceived in the 1970s, James Lovelock's Gaia Hypothesis proposed that living organisms developed in tandem with their inorganic surroundings, forming a complex, self-regulating system. Today, most evolutionary biologists consider the theory probl…
This book establishes a new theoretical and practical framework for multimodal disciplinary literacy (MDL) fused with the subject-specific science pedagogies of senior high school biology, chemistry and physics. It builds a compatible alignment of multiple representation and representation construction approaches to science pedagogy with the social semiotic, systemic functional linguistic-based…
Young children have remarkable capacities for causal reasoning, which are part of the foundation of their scientific thinking abilities. In Constructing Science, Deena Weisberg and David Sobel trace the ways that young children's sophisticated causal reasoning abilities combine with other cognitive, metacognitive, and social factors to develop into a more mature set of scientific thinking abili…
This book challenges the common assumption that the predominant focus of the history of science should be the achievements of Western scientists since the so-called scientific revolution. The conceptual frameworks within which the members of earlier societies and of modern indigenous groups worked admittedly pose severe problems for our understanding. But rather than dismiss them on the grounds…
This book is the result of a chance meeting between the authorsm in the summer of 2019 on a 12-hour international flight. This was not a case of quantum superposition, but it certainly demonstrates the power of chance.The Oxford English Dictionary defines quantum as “A discrete quantity of electromagnetic energy proportional in magnitude to the frequency of the radiation it represents.”1 In…