This graduate level textbook provides a coherent introduction to the body of main-stream algorithms used in electromagnetic brain imaging, with specific emphasis on novel Bayesian algorithms. It helps readers to more easily understand literature in biomedical engineering and related fields and be ready to pursue research in either the engineering or the neuroscientific aspects of electromagnetic brain imaging. This textbook will not only appeal to graduate students but all scientists and e...

Advanced Technologies for Science and Engineering - Vol. 4 is a comprehensive compilation of cutting-edge research at the intersection of artificial intelligence, data analytics, and advanced engineering applications. The book focuses on leveraging intelligent technologies to solve complex, real-world problems in today's data-driven landscape.Comprising thirty-seven peer-reviewed chapters, the volume blends theoretical foundations with practical implementations across diverse domai...

Advanced Technologies for Science and Engineering - Vol. 4 is a comprehensive compilation of cutting-edge research at the intersection of artificial intelligence, data analytics, and advanced engineering applications. The book focuses on leveraging intelligent technologies to solve complex, real-world problems in today’s data-driven landscape.Comprising thirty-seven peer-reviewed chapters, the volume blends theoretical foundations with practical implementations across diverse domai...

This new volume presents a plethora of clever real-time applications of smart sensor technology with examples from diverse areas. The volume showcases novel applications of smart sensors, such as for automatic dual axis solar tracking systems, for wearable flexible electronic devices, for effective security systems in banking and finance, in healthcare for cancer detection and cardiac patient monitoring, for chemical safety in laboratories, for water quality monitoring systems, for agricul...

Zadeh introduced in 1965 the theory of fuzzy sets, in which truth values are modelled by numbers in the unit interval [0, 1], for tackling mathematically the frequently appearing in everyday life partial truths. In a second stage, when membership functions were reinterpreted as possibility distributions, fuzzy sets were extensively used to embrace uncertainty modelling. Uncertainty is defined as the shortage of precise knowledge or complete information and possibility theory is devoted to ...

This volume explores a diverse range of applications for automated machine learning and predictive analytics. The content provides use cases for machine learning in different industries such as healthcare, agriculture, cybersecurity, computing and transportation.Chapter 1 introduces an innovative device for automatically notifying and analyzing the impact of automobile accidents. Chapter 2 focuses on the detection of malaria using systematized image processing techniques. In Chapte...

This reference is a compilation of work from different technology groups that give an insight into strategies used for technology optimization and technical R&D. Each of the 14 chapters presented in the book are contributed by engineering experts and focus on different aspects of smart technologies. The chapters cover a wide range of technical disciplines with a list of references for further reading. The compilation demonstrates methods that are useful to apprentices and researchers invol...

This volume explores diverse applications for automated machine learning and predictive analytics. The content provides use cases for machine learning in different industries such as healthcare, agriculture, cybersecurity, computing and transportation. Key highlights of this volume include topics on engineering for underwater navigation, and computer vision for healthcare and biometric applications. Chapters 1-4 delve into innovative signal detection, biometric authentication, underwater A...

This volume explores diverse applications for automated machine learning and predictive analytics. The content provides use cases for machine learning in different industries such as healthcare, agriculture, cybersecurity, computing and transportation.Key highlights of this volume include topics on engineering for underwater navigation, and computer vision for healthcare and biometric applications.Chapters 1-4 delve into innovative signal detection, biometric authentication...

The fusion of quantum computing and machine learning holds the potential to revolutionize how we solve complex problems. Quantum computing, with its ability to process vast amounts of data through the principles of quantum mechanics, could accelerate machine learning algorithms, enabling faster and more efficient pattern recognition, optimization, and decision-making. This convergence helps overcome limitations faced by classical computing in fields like artificial intelligence, drug disco...

This book entitled “Mining Impacts and their Environmental Problems” presents a comprehensive view on various mining activities and a wide spectrum of environmental challenges associated with it. Case studies presented across global south such as Asia, Africa, and Latin America, are the first of its kind which presents a holistic and deep insight (into instead of about?) about this pressing environmental issue. In this book, thirteen chapters present various issues ranging from gold, silve...

Master shell basics and Unix tools and discover easy commands to perform complex tasks with speed Key FeaturesLearn why the Bash shell is widely used on Linux and iOSExplore advanced shell concepts, such as pipes and redirectionUnderstand how to use Unix command-line tools as building blocks for different tasksBook DescriptionThe most basic interface to a computer—the command line—remains the most flexible and powerful way of...