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Karim Khan Zand
A forward thinking and notably popular leader, Karim Khan Zand (1705-1779) was the founder of the Zand dynasty in Iran. In this insightful profile of a man before his time, esteemed academic John Perry shows how by opening up international trade, employing a fair fiscal system and showing respect for existing religious institutions, Karim Khan succeeded in creating a peaceful and prosperous state in a particularly turbulent epoch of history.
Cognitive Systems and Signal Processing
This book constitutes the refereed post-conference proceedings of the 5th International Conference on Cognitive Systems and Signal Processing, ICCSIP 2020, held in Zhuhai, China, in December 2020. The 59 revised papers presented were carefully reviewed and selected from 120 submissions. The papers are organized in topical sections on algorithm; application; manipulation; bioinformatics; vision; and autonomous vehicles.
Simulations in Medicine
Modern practical medicine requires high tech in diagnostics and therapy and in consequence in education. All disciplines use computers to handle large data bases allowing individual therapy, to interpret large data bases in form of neuronal signals, help visualization of organs during surgery. This book contains chapters on personalised therapy, advanced diagnostics in neurology, modern techniques like robotic surgery (da Vinci robots), 3D-printing and 3D-bioprinting, augmented reality applied in medical diagnostics and therapy. It is impossible without fast large scale data mining in both: clinical data interpretation as well as in hospital organization including hybrid surgery rooms and personal data flow. The book is based on a course for medical students organized in the editor's department. Every year, around 300 international undergraduate medical students take the course.
Explainable Artificial Intelligence for Intelligent Transportation Systems
Artificial Intelligence (AI) and Machine Learning (ML) are set to revolutionize all industries, and the Intelligent Transportation Systems (ITS) field is no exception. While ML, especially deep learning models, achieve great performance in terms of accuracy, the outcomes provided are not amenable to human scrutiny and can hardly be explained. This can be very problematic, especially for systems of a safety-critical nature such as transportation systems. Explainable AI (XAI) methods have been proposed to tackle this issue by producing human interpretable representations of machine learning models while maintaining performance. These methods hold the potential to increase public acceptance and trust in AI-based ITS. FEATURES: Provides the necessary background for newcomers to the field (both academics and interested practitioners) Presents a timely snapshot of explainable and interpretable models in ITS applications Discusses ethical, societal, and legal implications of adopting XAI in the context of ITS Identifies future research directions and open problems
Soft and Stiffness-controllable Robotics Solutions for Minimally Invasive Surgery
Soft and Stiffness-controllable Robotics Solutions for Minimally Invasive Surgery presents the results of a research project, funded by European Commission, STIFF-FLOP: STIFFness controllable Flexible and Learn-able manipulator for surgical Operations. In Minimally Invasive Surgery (MIS), tools go through narrow openings and manipulate soft organs that can move, deform, or change stiffness. There are limitations on modern laparoscopic and robot-assisted surgical systems due to restricted access through Trocar ports, lack of haptic feedback, and difficulties with rigid robot tools operating inside a confined space filled with organs. Also, many control algorithms suffer from stability problem...
Mathematics for Machine Learning
Distills key concepts from linear algebra, geometry, matrices, calculus, optimization, probability and statistics that are used in machine learning.
Advances In Cooperative Robotics - Proceedings Of The 19th International Conference On Clawar 2016
This book provides state-of-the-art scientific and engineering research findings and developments in the area of mobile robotics and associated support technologies around the theme of cooperative robotics. The book contains peer reviewed articles presented at the CLAWAR 2016 conference. The book contains a strong stream of papers on multi-legged locomotion and cooperative robotics. There is also a strong collection of papers on human assistive devices, notably wearable exoskeletal and prosthetic devices, and personal care robots and mobility assistance devices designed to meet the growing challenges due to the global ageing society. Robot designs based on biological inspirations and ethical concerns and issues related to the design, development and deployment of robots are also strongly featured.
Eye Tracking
This volume explores the latest eye-tracking methodologies that help researchers understand the background, methods, and applications involved in these studies. The chapters in this book cover topics such as methods and models of eye-tracking in natural environments; natural gaze informatics (i.e., assisted wheelchair mobility); eye-tracking application to understand the visual control of locomotion; eye movement in neurological disorders; and eye movements in sports research and practice. In the Neuromethods series style, chapters include the kind of detail and key advice from the specialists needed to get successful results in your laboratory. Cutting-edge and practical, Eye Tracking: Background, Methods, and Applications is a valuable resource for experienced and novice researchers interested in learning more about this field and its future developments.
