Описание: A revolutionary approach to making better-looking, better-tasting drinks.
Автор: Herrnstein, Richard J. Murray, Charles Название: Bell Curve: Intelligence and Class Structure in American Life ISBN: 0684824299 ISBN-13(EAN): 9780684824291 Издательство: Simon&Schuster UK Рейтинг: Цена: 2803.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This work offers a perspective on the causes of the social and economic problems that plague contemporary America. It examines the relationship between ethnicity and intelligence and presents the view that America`s population is becoming polarized between an educated elite and uneducated poor.
Описание: Introduction.- Forensic Discovery and Investigation.- Intelligent Forensic Science Applications.
Автор: Nagarajan G., Minu R. I. Название: Edge Computing and Computational Intelligence Paradigms for the IoT ISBN: 1522585559 ISBN-13(EAN): 9781522585558 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 35739.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Edge computing is focused on devices and technologies that are attached to the internet of things (IoT). Identifying IoT use across a range of industries and measuring strategic values helps identify what technologies to pursue and can avoid wasted resources on deployments with limited values. The Handbook of Research on Edge Computing and Computational Intelligence Paradigms for the IoT is a critical research book that provides a complete insight on the recent advancements and integration of intelligence in IoT. This book highlights various topics such as disaster prediction, governance, and healthcare. It is an excellent resource for researchers, working professionals, academicians, policymakers, and defense companies.
1. Introduction.- Part I: High performance computational tools dedicated to computational intelligence.- 2. Urban Mobility in Multimodal Networks using Multi-objective Algorithms.- 3 Urban transport and traffic systems: an approach to the shortest path problem and network flow through colored graphs.- 4 An Adaptive Large Neighborhood Search Heuristic to solve the Crew Scheduling Problem.- 5. Proposal for analysis of location of popular residential using the p-median.- 6. An Ant Colony System Metaheuristic applied to a cooperative of recyclable materials of Sorocaba: a case study.- 7. Multilevel optimization applied to project of access networks for implementation of intelligent cities.- 8. A Comparison of Regression Techniques for the Residential Energy Consumption Forecast in the Brazilian Scenario.- Part II: Simulating the possibilities and getting ready for real applications.- 9 Simulation and evaluation of a Model for Assistive Smart City.- 10. Realistic Vehicular Networks Simulations.- 11. LoRaWan: Low Cost Solution for Smart Cities.- Part III: The social science behind the cities of the future.- 12. Digital cities and emerging technologies.- 13. A multi-criteria view about judicial and legislative decision making in digital cities and societies.- 14. Smart Planning: tools, concepts and approaches for a sustainable digital transformation.- Part IV: Emerging cities' services and systems.- 15. When CI and decentralized systems effectively meet smart cities and grids.- 16. Optimal Energy Trading Policy for Solar-Powered Microgrids: a modeling approach based on Plug-in Hybrid Electric Vehicles.- 17. UAVs and their role in future cities and industries.- 18. Critical systems for Smart Cities: towards certifying software.
Novel strategies for data-driven evolutionary optimization
Machine learning using distance-based methods
Counting cells and predicting immunoscore using gradient boosted convolutional neural networks
Kubelka-Munk model and stochastic model comparison in skin physical parameter retrieval using neural networks
A combined approach of neural networks and graphical models in skin cancer inference using spectral imaging
Using wave propagation simulations and convolutional neural networks to retrieve thin coating's thickness from hyperspectral images
Predicting future overweight and obesity from childhood growth data: A case study
Variable selection under a value acquisition budget
Stochastic approximation by successive piecewise linearization
Non-convex robust low-rank matrix recovery
Neural network learning via successive piecewise linearization
Learning for scientific computing purposes
Computational intelligence in design of new nanomaterials
Modeling flow, reactive transport and geomechanics in porous media
Physics constrained machine learning for industrial applications
Parameter and type identification in partial differential equations using deep neural networks
Stability maximization for layered moving web with total mass constraint
Similarity solutions for condensation on a non-isothermal vertical plate
Enhanced topology optimization approach using moving morphable components coupled with NURBS curves
Combined model order reduction and artificial neural network for data assimilation and damage detection in structures
Towards the optimization of fuzzy pattern trees by abs - linearization
Support vector machines in clusterwise linear regression
A Second-order method with enriched hessian information for composite sparse optimization problems
Missing value imputation via nonsmooth optimization and clusterwise linear regression
Parsimonious neural networks
Nobody can stop advancing artificial intelligence (AI) where developing
Computational sciences, physics field theories and geometry
Mini-symposium on ethics in AI
Essentializing software engineering practices for ethically designing and developing artificial intelligence systems 30 Ethics is important, but how can we implement it? Survey on software developers' views on AI ethics
Industrial IoT capabilities in reducing the LCOE of offshore wind energy: A review
High-Performance data analysis with the Helmholtz Analytics Toolkit (HeAT)
Dynamic data-driven application systems based on tensor factorization: learning the physics of model evolution
Predicting customer experience
Puhti-AI: Finland's new AI supercomputer
Using Artificial Intelligence to Classify Textual Applications for Reporting Purposes Application of machine learning methods to error control of approximate solutions
Iterative data selection strategy in offline data-driven evolutionary multiobjective optimization
On surrogate management in interactive multiobjective building energy system design
A modified deep neural network for the rapid inversion of geo-physical resistivity measurements
Using agents for automatic meta-modelling algorithm selection in data-driven multiobjective optimization problems
Future cooperation between Computational Science and AI in Industrial and Societal Applications - challenges, impact and expectations?
Artificial Intelligence, Deep Lea
Автор: Hiranmay Ghosh Название: Computational Models for Cognitive Vision ISBN: 1119527864 ISBN-13(EAN): 9781119527862 Издательство: Wiley Рейтинг: Цена: 7754.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Learn how to apply cognitive principles to the problems of computer vision
Computational Models for Cognitive Vision formulates the computational models for the cognitive principles found in biological vision, and applies those models to computer vision tasks. Such principles include perceptual grouping, attention, visual quality and aesthetics, knowledge-based interpretation and learning, to name a few. The author's ultimate goal is to provide a framework for creation of a machine vision system with the capability and versatility of the human vision.
Written by Dr. Hiranmay Ghosh, the book takes readers through the basic principles and the computational models for cognitive vision, Bayesian reasoning for perception and cognition, and other related topics, before establishing the relationship of cognitive vision with the multi-disciplinary field broadly referred to as "artificial intelligence". The principles are illustrated with diverse application examples in computer vision, such as computational photography, digital heritage and social robots. The author concludes with suggestions for future research and salient observations about the state of the field of cognitive vision.
Other topics covered in the book include:
- knowledge representation techniques
- evolution of cognitive architectures
- deep learning approaches for visual cognition
Undergraduate students, graduate students, engineers, and researchers interested in cognitive vision will consider this an indispensable and practical resource in the development and study of computer vision.
Описание: This book explains the application of recent advances in computational intelligence - algorithms, design methodologies, and synthesis techniques - to the design of integrated circuits and systems.
Автор: Purnomo Hindriyanto Dwi Название: Computational Intelligence in the Internet of Things ISBN: 1522579559 ISBN-13(EAN): 9781522579557 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 28215.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In recent years, the need for smart equipment has increased exponentially with the upsurge in technological advances. To work to their fullest capacity, these devices need to be able to communicate with other devices in their network to exchange information and receive instructions. Computational Intelligence in the Internet of Things is an essential reference source that provides relevant theoretical frameworks and the latest empirical research findings in the area of computational intelligence and the Internet of Things. Featuring research on topics such as data analytics, machine learning, and neural networks, this book is ideally designed for IT specialists, managers, professionals, researchers, and academicians.
Автор: De, Sourav , Dutta, Paramartha Название: Computational Intelligence for Human Action Recognition ISBN: 0367184435 ISBN-13(EAN): 9780367184438 Издательство: Taylor&Francis Рейтинг: Цена: 12707.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book tends to involve major emerging trends in technology which support the current advancement of the human action recognition with the help of computational intelligence. It also aims to highlight advancement of the conventional approaches in the field of human action recognition.
Автор: Ashutosh Kumar Singh, Rajiv Singh Название: Computational Methodologies for Electrical and Electronics Engineers ISBN: 1799833283 ISBN-13(EAN): 9781799833284 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 29779.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Artificial intelligence has been applied to many areas of science and technology, including the power and energy sector. Renewable energy in particular has experienced the tremendous positive impact of these developments. With the recent evolution of smart energy technologies, engineers and scientists working in this sector need an exhaustive source of current knowledge to effectively cater to the energy needs of citizens of developing countries.
Computational Methodologies for Electrical and Electronics Engineers is a collection of innovative research that provides a complete insight and overview of the application of intelligent computational techniques in power and energy. Featuring research on a wide range of topics such as artificial neural networks, smart grids, and soft computing, this book is ideally designed for programmers, engineers, technicians, ecologists, entrepreneurs, researchers, academicians, and students.
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