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Intellectual disability nursing : an oral history project /
Published 2020Full-text access
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Advances in Unconventional Computing Volume 1: Theory /
Published 2017Table of Contents: “…-Asymptotic Intrinsic Universality and Natural Reprogrammability by BehaviouralEmulation -- Two Small Universal Reversible Turing Machines -- Percolation Transition and Related Phenomena in Terms of Grossone Infinity Computations -- Spacetime Computing: Towards Algorithmic Causal Sets with Special-Relativistic Properties -- Interaction-based Programming in MGS -- Cellular Automata in Hyperbolic Spaces -- A Computation in a Cellular Automaton Collider Rule 110 -- Quantum Queries Associated with Equi-Partitioning of States and Multipartite Relational Encoding Across Space-Time -- Solving the Broadcast Time Problem Using a D-Wave Quantum Computer -- The Group Zoo of Classical Reversible Computing and Quantum Computing -- Fault Models in Reversible and Quantum Circuits -- A Class of Non-optimum-time 3n-Step FSSP Algorithms -- Universality of Asynchronous Circuits Composed of Locally Reversible Elements -- Reservoir Computing as a Model for In-Materio Computing -- On Reservoir Computing: from Mathematical Foundations to Unconventional Applications -- Computational Properties of Cell Regulatory Pathways through Petri Nets -- Kernel P Systems and Stochastic P Systems for Modelling and Formal Verification of Genetic Logic Gates -- On Improving the Expressive Power of Chemical Computation -- Conventional and Unconventional Approaches to Swarm Logic -- On the Inverse Pattern Recognition Problem in the Context of the Time-Series Data Processing withMemristor Networks -- Self-Awareness in Digital Systems: Augmenting Self-Modification with Introspection to Create Adaptive, Responsive Circuitry -- Looking for Computers in the Biological Cell. …”
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Deep Learning with TensorFlow and Keras - 3rd Edition : Build and Deploy Supervised, Unsupervised, Deep, and Reinforcement Learning Models.
Published 2022Table of Contents: “…Cover -- Copyright -- Contributors -- Table of Contents -- Preface -- Chapter 1: Neural Network Foundations with TF -- What is TensorFlow (TF)? -- What is Keras? …”
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