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 English | 2021 | ISBN: 0367710064 | 457 pages | pdf | 3.48 MB This book provides comprehensive, rigorous and up-to-date coverage of key issues that have emerged in the first quarter of the 21st Century in transnational construction arbitration and alternative dispute resolution (ADR).  English | 2021 | ISBN: 0198850247 | 316 pages | True PDF | 101.51 MB The global loss of biodiversity is occurring at an unprecedented pace. Despite the considerable effort devoted to conservation science and management, we still lack even the most basic data on the distribution and density of the majority of plant and animal species, which in turn hampers our efforts to study changes over time. In addition, we often lack behavioural data from the very animals most influenced by environmental changes; this is largely due to the  English | 2021 | ISBN: 153619378X , 978-1536193787 | 162 pages | True PDF | 6.05 MB Ethics is an important basis for controlling and regulating human behaviour in all areas of life, including but not limited to dealing with other people at work. This book covers ethical issues related to the field of information technology and computing, and discusses some of the ethical issues from the perspective of the Arabic and Islamic cultures. The book concentrates on understanding the legal, ethical, and societal issues related to the field of information technology and computing without indulging into the implications of these issues on other fields, such as music or painting copyrights. The book is well suited for undergraduate and graduate students in colleges and universities in the Middle East and Islamic world. The book also provides an excellent foundation in ethical, legal and cultural decision-making for current and future professionals, practitioners and managers in the field of computer science and information technology. The book covers many fundamental and contemporary topics, including: Ethical theories, philosophy, responsibility and code of ethics; History of computing ethics and ethics for the computing professions; Professional ethics in Islam; Negative uses of computers and the Internet; Privacy, anonymity and position of Islam on privacy; Ethical issues related to software piracy and intellectual property; Supporting and opposing Islamic views on intellectual copyright; Ethical Issues related to globalisation; Ethicality of threats and violation to information security; Hackers, vandals, spyware and network security risks.  English | 2021 | ISBN: 1636392431 , 978-1636392431 | 138 pages | True PDF | 2.93 MB Human visual perception is limited to the visual-optical spectrum. Machine vision is not. Cameras sensitive to the different infrared spectra can enhance the abilities of autonomous systems and visually perceive the environment in a holistic way. Relevant scene content can be made visible especially in situations, where sensors of other modalities face issues like a visual-optical camera that needs a source of illumination. As a consequence, not only human mistakes can be avoided by increasing the level of automation, but also machine-induced errors can be reduced that, for example, could make a self-driving car crash into a pedestrian under difficult illumination conditions. Furthermore, multi-spectral sensor systems with infrared imagery as one modality are a rich source of information and can provably increase the robustness of many autonomous systems. Applications that can benefit from utilizing infrared imagery range from robotics to automotive and from biometrics to surveillance. In this book, we provide a brief yet concise introduction to the current state-of-the-art of computer vision and machine learning in the infrared spectrum. Based on various popular computer vision tasks such as image enhancement, object detection, or object tracking, we first motivate each task starting from established literature in the visual-optical spectrum. Then, we discuss the differences between processing images and videos in the visual-optical spectrum and the various infrared spectra. An overview of the current literature is provided together with an outlook for each task. Furthermore, available and annotated public datasets and common evaluation methods and metrics are presented. In a separate chapter, popular applications that can greatly benefit from the use of infrared imagery as a data source are presented and discussed. Among them are automatic target recognition, video surveillance, or biometrics including face recognition. Finally, we conclude with recommendations for well-fitting sensor setups and data processing algorithms for certain computer vision tasks. We address this book to prospective researchers and engineers new to the field but also to anyone who wants to get introduced to the challenges and the approaches of computer vision using infrared images or videos. Readers will be able to start their work directly after reading the book supported by a highly comprehensive backlog of recent and relevant literature as well as related infrared datasets including existing evaluation frameworks. Together with consistently decreasing costs for infrared cameras, new fields of application appear and make computer vision in the infrared spectrum a great opportunity to face nowadays scientific and engineering challenges.  English | 2022 | ISBN: 1292405465 | 797 pages | True PDF | 58.94 MB A top-down,layered approach to computer networking.  English | 2021 | ISBN: 0367765241 | 491 pages | pdf | 115.94 MB While various software packages have become quite useful for performing unit operations and other kinds of processes in chemical engineering, the fundamental theory and methods of calculation must also be understood in order to effectively test the validity of these packages and verify the results. Computer Methods in Chemical Engineering presents  English | 2021 | ISBN: 0367680807 | 292 pages | True PDF | 51.56 MB This book provides a thorough understanding of the integration of computational intelligence with information retrieval including content-based image retrieval using intelligent techniques, hybrid computational intelligence for pattern recognition, intelligent innovative systems, and protecting and analysing big data on cloud platforms. The book aims to investigate how computational intelligence frameworks are going to improve information retrieval systems. The emerging and promising state-of-the-art of human-computer interaction is the motivation behind this book.
 English | 2021 | ISBN: 1774630087 | 391 pages | True PDF | 121.14 MB This textbook, Computational Fluid Dynamics and COSMOL Multiphysics: A Step-by-Step Approach for Chemical Engineers, covers computational fluid dynamics simulation using COMSOL Multiphysics® Modeling Software in chemical engineering applications. In the volume, the COMSOL Multiphysics package is introduced and applied to solve typical problems in chemical reactors, transport processes, fluid flow, and heat and mass transfer. Inspired by the difficulties of introducing the use of COMSOL Multiphysics software during classroom time, the book incorporates the author's experience of working with undergraduate, graduate, and postgraduate students, which helps to make the book user friendly and that, at the same time, addresses typical examples within the subjects covered in the chemical engineering curriculum. Real-world problems require the use of simulation and optimization tools, and this volume shows how COMSOL Multiphysics software can be used for that purpose. The book includes over 560 snapshots to provide a step-by-step approach to using the program for computational fluid dynamics simulations.Key features:  English | 2021 | ISBN: 1119654718 | 352 pages | True PDF | 13.58 MB COMPUTATION IN BIOINFORMATICS  English | 2021 | ISBN: 110842161X | 620 pages | True PDF | 16.9 MB Accurate, robust and fast image reconstruction is a critical task in many scientific, industrial and medical applications. Over the last decade, image reconstruction has been revolutionized by the rise of compressive imaging. It has fundamentally changed the way modern image reconstruction is performed. This in-depth treatment of the subject commences with a practical introduction to compressive imaging, supplemented with examples and downloadable code, intended for readers without extensive background in the subject. Next, it introduces core topics in compressive imaging - including compressed sensing, wavelets and optimization - in a concise yet rigorous way, before providing a detailed treatment of the mathematics of compressive imaging. The final part is devoted to recent trends in compressive imaging: deep learning and neural networks. With an eye to the next decade of imaging research, and using both empirical and mathematical insights, it examines the potential benefits and the pitfalls of these latest approaches. |
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