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Artificial Intelligence and Machine Learning in the Travel Industry
Over the past decade, Artificial Intelligence has proved invaluable in a range of industry verticals such as automotive and assembly, life sciences, retail, oil and gas, and travel. The leading sectors adopting AI rapidly are Financial Services, Automotive and Assembly, High Tech and Telecommunications. Travel has been slow in adoption, but the opportunity for generating incremental value by leveraging AI to augment traditional analytics driven solutions is extremely high. The contributions in this book, originally published as a special issue for the Journal of Revenue and Pricing Management, showcase the breadth and scope of the technological advances that have the potential to transform the travel experience, as well as the individuals who are already putting them into practice.
Engineering Mathematics and Artificial Intelligence
Explains the theory behind Machine Learning and highlights how Mathematics can be used in Artificial Intelligence Illustrates how to improve existing algorithms by using advanced mathematics and discusses how Machine Learning can support mathematical modeling Captures how to simulate data by means of artificial neural networks and offers cutting-edge Artificial Intelligence technologies Emphasizes the classification of algorithms, optimization methods, and statistical techniques Explores future integration between Machine Learning and complex mathematical techniques
Machine Learning and Interpretation in Neuroimaging
Brain imaging brings together the technology, methodology, research questions and approaches of a wide range of scientific fields including physics, statistics, computer science, neuroscience, biology, and engineering. Thus, methodological and technological advances that enable us to obtain measurements, examine relationships across observations, and link these data to neuroscientific hypotheses happen in a highly interdisciplinary environment. The dynamic field of machine learning with its modern approach to data mining provides many relevant approaches for neuroscience and enables the exploration of open questions. This state-of-the-art survey offers a collection of papers from the Worksho...
Artificial Intelligence for All
This Book provides introductory knowledge on Artificial Intelligence. You can briefly know about the areas of AI in which research is prospering. The book "Artificial Intelligence For All" is basically intended as a generic study for all the audience who are keen to know about the changing world and technology. Book provides knowledge in simple and systematic manner as it is written to gain generic knowledge of the most popular subject Artificial Intelligence and definitely about its spread. In general everybody now knows about Artificial Intelligence as due to availability of multiple channels like news, media and online literature which gives brief description about the subject. But how Ar...
Artificial Neural Networks as Models of Neural Information Processing
Modern neural networks gave rise to major breakthroughs in several research areas. In neuroscience, we are witnessing a reappraisal of neural network theory and its relevance for understanding information processing in biological systems. The research presented in this book provides various perspectives on the use of artificial neural networks as models of neural information processing. We consider the biological plausibility of neural networks, performance improvements, spiking neural networks and the use of neural networks for understanding brain function.
Factories of the Future: Manager's Guide to Industry 4.0
The manufacturing world is undergoing a massive digital transformation. Smart and connected infrastructures powered by artificial intelligence are bringing about yet another industrial revolution. Data based innovation is creating unprecedented opportunities for optimizing processes and gaining competitive advantage through new business models. In this book, we follow the magnificent story of the first three industrial revolutions in the tracks of great scientists, engineers and industrialists of yesterday, all the way up to cyber physical systems that will redefine the manufacturing value chain. Smart manufacturing revolution is rebuilding the factory from the ground up, changing old ways of doing business. Join me on this journey where we cover all the basic concepts and enabling technologies, then move on to formulate viable strategies on the path to Industry 4.0; for creating the Factories of the Future.
Cutting-edge Technologies in Biological Sensing and Analysis
Advanced technologies have been transforming the ways we carry out biological studies as well as deliver healthcare. While micro- and nano-fabrication have provided miniaturized sensors and systems with better sensitivity and selectivity,; innovations in flexible electronics, biomaterials and telecommunications have helped in enabling novel biomedical devices, reducing cost, bringing convenience and establishing mobile-health (m-Health), and personalized- and tele-medicine. Further, the recent rise of the internet of things (IoTs) and machine learning-based approaches has paved the avenue for those biomedical systems to become popular and widely accepted by our society. In this context, we edit this book aiming to cover a broad field of novel technologies used in biological assessment and analysis for humans, animal models and in vitro platforms, in both health monitoring and biological studies. Technical topics discussed in the book include: Biosensing systems and biomedical techniques Imaging techniques and systems Biosignal analysis Animal models used in biological research
Tales of Literacy for the 21st Century
Introduction -- A linguist's tale -- A child's tale -- A neuroscientist's tale of words -- The deep reading brain -- A second revolution in the brain -- A tale of hope for non-literate children -- Epilogue.
Intelligent Image and Video Analytics
Video has rich information including meta-data, visual, audio, spatial and temporal data which can be analysed to extract a variety of low and high-level features to build predictive computational models using machine-learning algorithms to discover interesting patterns, concepts, relations, and associations. This book includes a review of essential topics and discussion of emerging methods and potential applications of video data mining and analytics. It integrates areas like intelligent systems, data mining and knowledge discovery, big data analytics, machine learning, neural network, and deep learning with focus on multimodality video analytics and recent advances in research/applications...
