A cognitive psychologist and an industrial design engineer draw on their own experiences of cognition in the context of everyday life and work to explore how people attempt to find practical solutions for complex situations.
Machine Learning for Mobile Communications will take readers on a journey from basic to advanced knowledge about mobile communications and machine learning.
Reinforcement Learning for Cyber-Physical Systems: with Cybersecurity Case Studies was inspired by recent developments in the fields of reinforcement learning (RL) and cyber-physical systems (CPSs).
The book is a multidisciplinary space and serves as a platform to share and learn about the frontier knowledge between different areas related to "e;Recent trends in sustainable engineering.
In recent years, control systems have become more sophisticated in order to meet increased performance and safety requirements for modern technological systems.
Available for the first time in English, this two-volume course on theoretical and applied mechanics has been honed over decades by leading scientists and teachers, and is a primary teaching resource for engineering and maths students at St.
Interdisciplinary approaches using Machine Learning and Deep Learning techniques are smartly addressing real life challenges and have emerged as an inseparable element of disruption in current times.
The Virtual Mind: Designing the Logic to Approximate Human Thinking, through an in-depth and multidisciplinary review, outlines and defines the underpinnings for modelling human thinking through approximating the mind.
Cybersecurity Analytics is for the cybersecurity student and professional who wants to learn data science techniques critical for tackling cybersecurity challenges, and for the data science student and professional who wants to learn about cybersecurity adaptations.
Disruptive Trends in Computer Aided Diagnosis collates novel techniques and methodologies in the domain of content based image classification and deep learning/machine learning techniques to design efficient computer aided diagnosis architecture.
Social robots not only work with humans in collaborative workspaces - we meet them in shopping malls and even more personal settings like health and care.
This book is a collection of proceedings of the International Conference on Mechatronics and Intelligent Robotics (ICMIR2018), held in Kunming, China during May 19-20, 2018.
This book contains all refereed papers accepted during the tenth edition of the conference that took place at the Cite Internationale Universitaire de Paris on December 12-13, 2019.
Artificial intelligence (AI) is increasingly impacting many aspects of people's lives across the globe, from relatively mundane technology to more advanced digital systems that can make their own decisions.
The paradigm of multi-agent cooperative control is the challenge frontier for new control system application domains, and as a research area it has experienced a considerable increase in activity in recent years.
The book deals with the conceptual and practical knowledge of the latest tools and methodologies of hardware development for Internet of Things (IoT) and variety of real-world challenges.
Industrial assets (such as railway lines, roads, pipelines) are usually huge, span long distances, and can be divided into clusters or segments that provide different levels of functionality subject to different loads, degradations and environmental conditions, and their efficient management is necessary.
Featuring a model-based approach to fault detection and diagnosis in engineering systems, this book contains up-to-date, practical information on preventing product deterioration, performance degradation and major machinery damage.
The book explores the available omics resources, the integration of multi-omics data, and systems biology methods, focusing on their applications in cereals breeding and research.
Includes insights on valve sizing, smart (digital) valve positioners, field-based architecture, network system technology, and control loop performance evaluation.
This new book explores the dynamic integration of soft robotics and biomedical sciences, emphasizing a human-centered approach on how soft robotic technologies may fundamentally alter the healthcare sector, from personalized treatment to cutting-edge medical equipment.
This book provides a thorough exploration of the intersection between gender-based healthcare disparities and the transformative potential of artificial intelligence (AI) and machine learning (ML).
Since the publication of the second edition in 2013, there has been an increasing interest in asset management globally, as evidenced by a series of international standards on asset management systems, to achieve excellence in asset management.
Control Engineering and Information Systems contains the papers presented at the 2014 International Conference on Control Engineering and Information Systems (ICCEIS 2014, Yueyang, Hunan, China, 20-22 June 2014).
Nanorobots can be defined as intelligent systems with overall dimensions at or below the micrometer range that are made of assemblies of nanoscale components with individual dimensions ranging between 1 to 100 nm.
Machine Learning for Knowledge Discovery with R contains methodologies and examples for statistical modelling, inference, and prediction of data analysis.
In addition to the contributions presented at the 2018 International Symposium on Experimental Robotics (ISER 2018), this book features summaries of the discussions that were held during the event in Buenos Aires, Argentina.
This book reports on advances in sensing, modeling and control methods for different robotic platforms such as multi-degree of freedom robotic arms, unmanned aerial vehicles and autonomous mobile platforms.
