Online access with purchase: Morgan & Claypool (Synthesis Collection Ten)
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The series Online access with purchase: Morgan & Claypool (Synthesis Collection Ten) represents a set of related resources, especially of a specified kind, found in Sydney Jones Library, University of Liverpool.
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Online access with purchase: Morgan & Claypool (Synthesis Collection Ten)
Resource Information
The series Online access with purchase: Morgan & Claypool (Synthesis Collection Ten) represents a set of related resources, especially of a specified kind, found in Sydney Jones Library, University of Liverpool.
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- Online access with purchase: Morgan & Claypool (Synthesis Collection Ten)
55 Items in the Series Online access with purchase: Morgan & Claypool (Synthesis Collection Ten)
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- 5G mobile networks : a systems approach
- AI for computer architecture : principles, practice, and prospects
- Advanced concepts and architectures for plasma-enabled material processing
- AgeTech, cognitive health, and dementia
- An introduction to numerical methods for the physical sciences
- An introduction to proofs with set theory
- Anywhere-anytime signals and systems laboratory : from MATLAB to smartphones
- Applications of minimally invasive nanomedicine-based therapies in 3D in vitro cancer platforms
- Arduino II : systems
- Asymptotic modal analysis of structural and acoustical systems
- Atomically precise metal nanoclusters
- Blockchain platforms : a look at the underbelly of distributed platforms
- Case studies in forensic physics
- Conversational AI : dialogue systems, conversational agents, and chatbots
- Creating autonomous vehicle systems
- Crowd dynamics by kinetic theory modeling : complexity, modeling, simulations, and safety
- Data orchestration in deep learning accelerators
- Decision making, planning, and control strategies for intelligent vehicles
- Deep learning systems : algorithms, compilers, and processors for large-scale production
- Edge intelligence in the making : optimization, deep learning, and applications
- Efficient processing of deep neural networks
- Embeddings in natural language processing : theory and advances in vector representations of meaning
- Engineering design : an organic approach to solving complex problems in the modern world
- Fluid mechanics experiments
- Graph representation learning
- Gravitational waves : an overview
- Integrated process design and operational optimization via multiparametric programming
- Introduction to deep learning for engineers : using Python and Google Cloud Platform
- Introduction to optics, I, Interaction of light with matter
- Inventing a European nation : engineers for Portugal, from baroque to fascism
- Machine design for technology students : a systems engineering approach
- Machine learning for solar array monitoring, optimization, and control
- Multi-modal face presentation attack detection
- Nanotechnology for bioengineers
- Nanotechnology past and present : leading to science, engineering, and technology
- Parallel processing, 1980 to 2020
- Path planning and tracking for vehicle collision avoidance in lateral and longitudinal motion directions
- Poisson line Cox process : foundations and applications to vehicular networks
- Privacy risk analysis of online social networks
- Probability and statistics for STEM : a course in one semester
- Quantum computer systems : research for noisy intermediate-scale quantum computers
- Research advances in ADHD and technology
- Scientific analysis of cultural heritage objects
- Sequential bifurcation trees to chaos in nonlinear time-delay systems
- Simulating information retrieval test collections
- Skylines and other dominance-based queries
- Smartphone-based real-time digital signal processing
- Socially just mining : rethoric or reality? Lessons from Peru
- Spoof plasmons
- State-space control systems : the MATLAB®/Simulink® approach
- The art of teaching physics with ancient Chinese science and technology
- The engineering dynamics course companion, Part 1, Particles: kinematics and kinetics
- The engineering dynamics course companion, Part 2, Rigid bodies: kinematics and kinetics
- Water-train : the most energy-efficient inland water transportation
- Why AI/data science projects fail : how to avoid project pitfalls
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.liverpool.ac.uk/resource/TbOgvYZ_43s/" typeof="Series http://bibfra.me/vocab/lite/Series"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.liverpool.ac.uk/resource/TbOgvYZ_43s/">Online access with purchase: Morgan & Claypool (Synthesis Collection Ten)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.liverpool.ac.uk/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.liverpool.ac.uk/">Sydney Jones Library, University of Liverpool</a></span></span></span></span></div>
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.liverpool.ac.uk/resource/TbOgvYZ_43s/" typeof="Series http://bibfra.me/vocab/lite/Series"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.liverpool.ac.uk/resource/TbOgvYZ_43s/">Online access with purchase: Morgan & Claypool (Synthesis Collection Ten)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.liverpool.ac.uk/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.liverpool.ac.uk/">Sydney Jones Library, University of Liverpool</a></span></span></span></span></div>
