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Boundary Value Problems for Engineers: with MATLAB Solutions
by Ali Ümit KeskinThis book is designed to supplement standard texts and teaching material in the areas of differential equations in engineering such as in Electrical ,Mechanical and Biomedical engineering. Emphasis is placed on the Boundary Value Problems that are often met in these fields.This keeps the the spectrum of the book rather focussed .The book has basically emerged from the need in the authors lectures on “Advanced Numerical Methods in Biomedical Engineering” at Yeditepe University and it is aimed to assist the students in solving general and application specific problems in Science and Engineering at upper-undergraduate and graduate level.Majority of the problems given in this book are self-contained and have varying levels of difficulty to encourage the student. Problems that deal with MATLAB simulations are particularly intended to guide the student to understand the nature and demystify theoretical aspects of these problems. Relevant references are included at the end of each chapter. Here one will also find large number of software that supplements this book in the form of MATLAB script (.m files). The name of the files used for the solution of a problem are indicated at the end of each corresponding problem statement.There are also some exercises left to students as homework assignments in the book. An outstanding feature of the book is the large number and variety of the solved problems that are included in it. Some of these problems can be found relatively simple, while others are more challenging and used for research projects. All solutions to the problems and script files included in the book have been tested using recent MATLAB software.The features and the content of this book will be most useful to the students studying in Engineering fields, at different levels of their education (upper undergraduate-graduate).
Bounded Rationality in Decision Making Under Uncertainty: Towards Optimal Granularity (Studies in Systems, Decision and Control #99)
by Vladik Kreinovich Joe LorkowskiThis book addresses an intriguing question: are our decisions rational? It explains seemingly irrational human decision-making behavior by taking into account our limited ability to process information. It also shows with several examples that optimization under granularity restriction leads to observed human decision-making. Drawing on the Nobel-prize-winning studies by Kahneman and Tversky, researchers have found many examples of seemingly irrational decisions: e. g. , we overestimate the probability of rare events. Our explanation is that since human abilities to process information are limited, we operate not with the exact values of relevant quantities, but with "granules" that contain these values. We show that optimization under such granularity indeed leads to observed human behavior. In particular, for the first time, we explain the mysterious empirical dependence of betting odds on actual probabilities. This book can be recommended to all students interested in human decision-making, to researchers whose work involves human decisions, and to practitioners who design and employ systems involving human decision-making --so that they can better utilize our ability to make decisions under uncertainty.
Bow-Tie Industrial Risk Management Across Sectors: A Barrier-Based Approach
by Luca FiorentiniBOW-TIE INDUSTRIAL RISK MANAGEMENT ACROSS SECTORS Explore an approachable but rigorous treatment of systematic barrier-based approaches to risk management and failure analysisIn Bow-Tie Industrial Risk Management Across Sectors: A Barrier-Based Approach, accomplished researcher and author Luca Fiorentini delivers a practical guide to risk management tools, with a particular emphasis on a systematic barrier-based approach called “bow-tie.” The book includes discussions of two barrier-based methods, Bow-Tie and Layers of Protection Analysis (LOPA), for risk assessment, and one barrier-based method for incident analysis, Barrier Failure Analysis (BFA). The author also describes a traditional method–Root Cause Analysis–and three quantitative methods–FMEA/FMECA, Fault Tree (FTA), and Event Tree (ETA) with a discussion about their link with barriers.Written from the ground up to be in full compliance with recent ISO 31000 standards on enterprise risk management, and containing several case studies and examples from a variety of industries, Bow-Tie Industrial Risk Management Across Sectors also contains discussions of international standards dealing with common risks faced by organizations, including occupational health and safety, industrial safety, functional safety, environmental, quality, business continuity, asset integrity, and information security.Readers will also benefit from the inclusion of:A thorough introduction to the Bow-Tie method, including its practical application in risk management workflow from ISO 31000, the history of Bow-Tie, related methods, and the application of Bow-Tie in qualitative and quantitative waysAn exploration of Barrier Failure Analysis, including events, timelines, barriers, causation paths, and multi-level causesA practical discussion of how to build a Barrier Failure Analysis, including fact finding, event chaining, identifying barriers, assessing barrier states, causation analysis, and recommendationsA concise treatment of Bow-Tie construction workflow, including a step-by-step guidePerfect for engineers and other professionals working in risk management, Bow-Tie Industrial Risk Management Across Sectors: A Barrier-Based Approach will also earn a place in the libraries of advanced undergraduate and graduate students studying risk management and seeking a one-stop reference on the “bow-tie” approach and barrier-based methods.
Box2D for Flash Games
by Emanuele FeronatoThis book is a step by step guide to create games with Box2D explained in a simple and friendly way. Are you familiar with ActionScript3 and want to explore the capabilities of physics in game design using Box2D, then this book is for you. You don't have to be an AS3 hero: if you know how to create classes and functions with AS3, then you can make your first physics game!
Brain Art: Brain-Computer Interfaces for Artistic Expression
by Anton NijholtThis is the first book on brain-computer interfaces (BCI) that aims to explain how these BCI interfaces can be used for artistic goals. Devices that measure changes in brain activity in various regions of our brain are available and they make it possible to investigate how brain activity is related to experiencing and creating art. Brain activity can also be monitored in order to find out about the affective state of a performer or bystander and use this knowledge to create or adapt an interactive multi-sensorial (audio, visual, tactile) piece of art. Making use of the measured affective state is just one of the possible ways to use BCI for artistic expression. We can also stimulate brain activity. It can be evoked externally by exposing our brain to external events, whether they are visual, auditory, or tactile. Knowing about the stimuli and the effect on the brain makes it possible to translate such external stimuli to decisions and commands that help to design, implement, or adapt an artistic performance, or interactive installation. Stimulating brain activity can also be done internally. Brain activity can be voluntarily manipulated and changes can be translated into computer commands to realize an artistic vision. The chapters in this book have been written by researchers in human-computer interaction, brain-computer interaction, neuroscience, psychology and social sciences, often in cooperation with artists using BCI in their work. It is the perfect book for those seeking to learn about brain-computer interfaces used for artistic applications.
Brain Computer Interface: EEG Signal Processing
by Saraju P. Mohanty Narayan PanigrahiBrain Computer Interface: EEG Signal Processing discusses electroencephalogram (EEG) signal processing using effective methodology and algorithms. This book provides a basic introduction to EEG and a classification of different components present in EEG. It also helps the reader to understand the scope of processing EEG signals and their associated applications. Further, it covers specific aspects such as epilepsy detection; exploitation of P300 for various applications; design of an EEG acquisition system; and detection of saccade, fix, and blink from EEG and EOG data. Key Features: Explains the basis of brain computer interface and how it can be established using different EEG signal characteristics Covers the detailed classification of different types of EEG signals with respect to their physical characteristics Explains detection and diagnosis of epileptic seizures from the EEG data of a subject Reviews the design and development of a low-cost and robust EEG acquisition system Provides mathematical analysis of EEGs, including MATLAB® codes for students to experiment with EEG data This book is aimed at graduate students and researchers in biomedical, electrical, electronics, communication engineering, healthcare, and cyber physical systems.
Brain Fingerprint Identification (Brain Informatics and Health)
by Wanzeng Kong Xuanyu JinThis open access book delves into the emerging field of biometric identification using brainwave patterns. Specifically, this book presents recent advances in electroencephalography (EEG)-based biometric recognition to identify unique neural signatures that can be used for secure authentication and identification. Traditional biometric systems such as fingerprints, iris scans, and face recognition have become integral to security and identification. However, these methods are increasingly vulnerable to spoofing and other forms of attack. Unlike other traditional biometrics, EEG signals are non-invasive, continuous authentication, liveness detection, and resistance to coercion due to the complexity and uniqueness of brain patterns. Therefore, it is particularly suitable for high-security fields such as military and finance, providing a promising alternative for future high-security identification and authentication. However, most of the existing brain fingerprint identification studies require subjects to perform specific cognitive tasks, which limits the popularization and application of brain fingerprint identification in practical scenarios. Additionally, due to the low signal-to-noise ratio (SNR) and time-varying characteristics of EEG signals, there are distribution differences in EEG data across sessions from several days, leading to stability issues in brain fingerprint features extracted at different sessions. Finally, because the EEG signal is affected by the coupling of multiple factors and the nervous system has continuous spontaneous variability, which makes it difficult for the brain fingerprint identification model to be suitable for the scenarios of unseen sessions and cognitive tasks, and there is the problem of insufficient model generalization. In this book, based on traditional machine learning methods and deep learning methods, the authors will carry out multi-task single-session, single-task multi-session, and multi-task multi-session brain fingerprint identification research respectively for the above problems, to provide an effective solution for the application of brain fingerprint identification in practical scenarios.
Brain Function Assessment in Learning: Second International Conference, BFAL 2020, Heraklion, Crete, Greece, October 9–11, 2020, Proceedings (Lecture Notes in Computer Science #12462)
by Claude Frasson Panagiotis Bamidis Panagiotis VlamosThis book constitutes the thoroughly refereed proceedings of the Second International Conference on Brain Function Assessment in Learning, BFAL 2020, held in Heraklion, Crete, Greece, in October 2020*.The 11 revised full papers and 10 short papers presented were carefully selected from 35 submissions. The BFAL conference aims to regroup research in multidisciplinary domains such as neuroscience, computer science, medicine, education, human-computer interactions, and social interaction on the theme of Brain Function Assessment in Learning.*The conference was held virtually due to the COVID-19 pandemic.
Brain Gain: Technology and the Quest for Digital Wisdom
by Marc Prensky"In an age where the answer to every question is at your fingertips, where does the human brain fit in?"In one hand-held object, we are able to manage all of our calendars, documents, and interpersonal relationships with such ease that many people are lost when forced to do perform these tasks without the aid of electronics. Often heard are the calls for less technology and more face-to-face interaction, for fear that the use of all this artificial intelligence is dampening our own ability to think.Author Marc Prensky has a different idea. In this controversial and well-argued treatise, Prensky offers the idea that rather than stunting the mind—that most essential aspect of an individual's intelligence and sense of self—smart technology (and smart use of technology) enhances our humanity in ways that the brain on its own never could. Through scores of fascinating examples, Prensky shows that the symbiotic combination of the human brain and technology—from marrying the brain's strengths such as sense-making and complex reasoning abilities with technology's strengths like storing and processing large amounts of data—has great benefits for our own cognitive functioning. How should we best combine the strengths of mind and machine for maximum benefit? Prensky's call is for digital wisdom—a new interconnectedness between human and technology that is already enabling Homo Sapiens to begin the journey into the next stages of cognitive evolution.
Brain Informatics and Health: International Conference, BIH 2016, Omaha, NE, USA, October 13-16, 2016 Proceedings (Lecture Notes in Computer Science #9919)
by Yong Shi Giorgio A. Ascoli Michael Hawrylycz Hesham Ali Deepak KhazanchiThis book constitutes the refereed proceedings of the International Conference on Brain and Health Informatics, BHI 2016, held in Omaha, USA, in October 2016. The 37 revised full papers, including two workshop papers from BAI 2016, presented were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on cognitive and computational foundations of brain science; investigations of human information processing systems; brain big data analytics, curation and management; new methodologies for brain and mental health; brain-inspired intelligence and computing; brain and artificial intelligence.
Brain Informatics: 12th International Conference, BI 2019, Haikou, China, December 13–15, 2019, Proceedings (Lecture Notes in Computer Science #11976)
by Vinod Goel Peipeng Liang Chunlei ShanThis book constitutes the refereed proceedings of the 12th International Conference on Brain Informatics, BI 2019, held in Haikou, China, in December 2019.The 26 revised full papers were carefully reviewed and selected from 36 submissions. The papers are organized in the following topical sections: cognitive and computational foundations of brain science; human information processing systems; brain big data analysis, curation and management; informatics paradigms for brain and mental health research; and brain-machine intelligence and brain-inspired computing. Also included is a special session on computational social analysis for mental health.
Brain Informatics: 13th International Conference, BI 2020, Padua, Italy, September 19, 2020, Proceedings (Lecture Notes in Computer Science #12241)
by Ning Zhong Mufti Mahmud Stefano Vassanelli M. Shamim KaiserThis book constitutes the refereed proceedings of the 13th International Conference on Brain Informatics, BI 2020, held in Padua, Italy, in September 2020. The conference was held virtually due to the COVID-19 pandemic. The 33 full papers were carefully reviewed and selected from 57 submissions. The papers are organized in the following topical sections: cognitive and computational foundations of brain science; investigations of human information processing systems; brain big data analytics, curation and management; informatics paradigms for brain and mental health research; and brain-machine intelligence and brain-inspired computing.
Brain Informatics: 14th International Conference, BI 2021, Virtual Event, September 17–19, 2021, Proceedings (Lecture Notes in Computer Science #12960)
by Ning Zhong Mufti Mahmud Stefano Vassanelli Qionghai Dai M Shamim KaiserThis book constitutes the refereed proceedings of the 14th International Conference on Brain Informatics, BI 2021, held in September 2021. The conference was held virtually due to the COVID-19 pandemic. The 49 full and 2 short papers together with 18 abstract papers were carefully reviewed and selected from 90 submissions. The papers are organized in the following topical sections: cognitive and computational foundations of brain science; investigations of human information processing systems; brain big data analytics, curation and management; informatics paradigms for brain and mental health research; and brain-machine intelligence and brain-inspired computing.
Brain Informatics: 15th International Conference, BI 2022, Padua, Italy, July 15–17, 2022, Proceedings (Lecture Notes in Computer Science #13406)
by Jing He Ning Zhong Mufti Mahmud Stefano Vassanelli André Van ZundertThis book constitutes the refereed proceedings of the 15th International Conference on Brain Informatics, BI 2022, held as hybrid event in Padua, Italy (in person) and Queensland, Australia (online) in July 2022. The 29 papers were selected from 65 submissions and the main theme of BI 2022 is Brain Science meets Artificial Intelligence with respect to the five tracks: Cognitive and computational foundations of brain science; human information processing systems; brain big data analytics, curation and management; informatics paradigms for brain and mental health research; and brain-machine intelligence and brain inspired computing.
Brain Informatics: 16th International Conference, BI 2023, Hoboken, NJ, USA, August 1–3, 2023, Proceedings (Lecture Notes in Computer Science #13974)
by Feng Liu Yu Zhang Hongjun Wang Hongzhi Kuai Emily P. StephenThis book constitutes the proceedings of the 16th International Conference on Brain Informatics, BI 2023, which was held in Hoboken, NJ, USA, during August 1–3, 2023.The 40 full papers presented in this book were carefully reviewed and selected from 101 submissions. The papers are divided into the following topical sections: cognitive and computational foundations of brain science; investigations of human Information processing systems; brain big data analytics, curation and management; informatics paradigms for brain and mental health research; brain-machine intelligence and brain-inspired computing; and the 5th international workshop on cognitive neuroscience of thinking and reasoning.
Brain Informatics: 17th International Conference, BI 2024, Bangkok, Thailand, December 13–15, 2024, Proceedings, Part I (Lecture Notes in Computer Science #15541)
by Giorgio A. Ascoli Hongzhi Kuai Sirawaj Itthipuripat Anan Li Narun PatThis book constitutes the proceedings of the 17th International Conference on Brain Informatics, BI 2024, which was held in Bangkok, Thailand, during December 13–15, 2024. The 35 full papers and 17 workshop papers presented in this book were carefully reviewed and selected from 126 submissions. These papers have been organized in the following topical sections: Pat I- Cognitive and Computational Foundations of Brain Science; Investigations of Human Information Processing Systems; Brain Big Data Analytics, Curation and Management; Informatics Paradigms for Brain and Mental Health Research; Brain-Machine Intelligence and Brain-Inspired Computing. Part II- The International Workshop on Generative AI Empowers Brain Signal Processing (GAIEBSP 2024); The International Workshop on Web Intelligence meets Brain Informatics (WImeetsBI 2024); The 4th Workshop on Environmental Adaptation and Mental Health (EAMH 2024); The International Workshop on Application of Artificial Intelligence and Innovative Technologies in Brain Informatics and Health (AAIITBIH 2024); The International Workshop on Reconstruction and Modeling of the Brain at the Single-Cell Level (RMBSCL 2024); The International Workshop on Mesoscopic Brain-wide Connectivity Atlas in Brainsmatics (MBCAB 2024); The 4th Special Session on Explainable Artificial Intelligence for Unveiling the Brain: From the Black-Box to the Glass-Box (XAIB 2024); The International Workshop on Elucidation of Mechanistic Information using Neuroimaging for Psychiatric Disorders (EMINPD 2024).
Brain Informatics: 17th International Conference, BI 2024, Bangkok, Thailand, December 13–15, 2024, Proceedings, Part II (Lecture Notes in Computer Science #15542)
by Giorgio A. Ascoli Hongzhi Kuai Sirawaj Itthipuripat Anan Li Narun PatThis book constitutes the proceedings of the 17th International Conference on Brain Informatics, BI 2024, which was held in Bangkok, Thailand, during December 13–15, 2024. The 35 full papers 17 workshop papers presented in this book were carefully reviewed and selected from 126 submissions. These papers have been organized in the following topical sections: Pat I- Cognitive and Computational Foundations of Brain Science; Investigations of Human Information Processing Systems; Brain Big Data Analytics, Curation and Management; Informatics Paradigms for Brain and Mental Health Research; Brain-Machine Intelligence and Brain-Inspired Computing. Part II- The International Workshop on Generative AI Empowers Brain Signal Processing (GAIEBSP 2024); The International Workshop on Web Intelligence meets Brain Informatics (WImeetsBI 2024); The 4th Workshop on Environmental Adaptation and Mental Health (EAMH 2024); The International Workshop on Application of Artificial Intelligence and Innovative Technologies in Brain Informatics and Health (AAIITBIH 2024); The International Workshop on Reconstruction and Modeling of the Brain at the Single-Cell Level (RMBSCL 2024); The International Workshop on Mesoscopic Brain-wide Connectivity Atlas in Brainsmatics (MBCAB 2024); The 4th Special Session on Explainable Artificial Intelligence for Unveiling the Brain: From the Black-Box to the Glass-Box (XAIB 2024); The International Workshop on Elucidation of Mechanistic Information using Neuroimaging for Psychiatric Disorders (EMINPD 2024).
Brain Informatics: International Conference, BI 2017, Beijing, China, November 16-18, 2017, Proceedings (Lecture Notes in Computer Science #10654)
by Yi Zeng, Yong He, Jeanette Hellgren Kotaleski, Maryann Martone, Bo Xu, Hanchuan Peng and Qingming LuoThis book constitutes the refereed proceedings of the International Conference on Brain Informatics, BI 2017, held in Beijing, China, in November 2017. The 31 revised full papers were carefully reviewed and selected from 64 submissions. BI addresses the computational, cognitive, physiological, biological, physical,ecological and social perspectives of brain informatics, as well as topics related tomental health and well-being.
Brain Informatics: International Conference, BI 2018, Arlington, TX, USA, December 7–9, 2018, Proceedings (Lecture Notes in Computer Science #11309)
by Tom Mitchell Yang Yang Shouyi Wang Vicky Yamamoto Jianzhong Su Erick Jones Leon IasemidisThis book constitutes the refereed proceedings of the International Conference on Brain Informatics, BI 2018, held in Arlington, TX, USA, in December 2018. The 46 revised full papers were carefully reviewed and selected from 53 submissions. The papers are grouped thematically on cognitive and computational foundations of brain science, human information processing systems, brain big data analysis, curation and management, informatics paradigms for brain and mental health research, brain-machine intelligence and brain-inspired computing.
Brain Inspired Cognitive Systems 2008 (Advances in Experimental Medicine and Biology #657)
by Leslie S. Smith Ron Chrisley Igor Aleksander Amir Hussain Allan Kardec Barros Vassilis CutsuridisBrain Inspired Cognitive Systems 2008 (June 24-27, 2008; São Luís, Brazil) brought together leading scientists and engineers who use analytic, syntactic and computational methods both to understand the prodigious processing properties of biological systems and, specifically, of the brain, and to exploit such knowledge to advance computational methods towards ever higher levels of cognitive competence. This book includes the papers presented at four major symposia: Part I - Cognitive Neuroscience Part II - Biologically Inspired Systems Part III - Neural Computation Part IV - Models of Consciousness.
Brain Magnet: Research Triangle Park and the Idea of the Idea Economy (Columbia Studies in the History of U.S. Capitalism)
by Alex CummingsBeginning in the 1950s, a group of academics, businesspeople, and politicians set out on an ambitious project to remake North Carolina’s low-wage economy. They pitched the universities of Raleigh, Durham, and Chapel Hill as the kernel of a tech hub, Research Triangle Park, which would lure a new class of highly educated workers. In the process, they created a blueprint for what would become known as the knowledge economy: a future built on intellectual labor and the production of intellectual property.In Brain Magnet, Alex Sayf Cummings reveals the significance of Research Triangle Park to the emergence of the high-tech economy in a postindustrial United States. She analyzes the use of ideas of culture and creativity to fuel economic development, how workers experienced life in the Triangle, and the role of the federal government in bringing the modern technology industry into being. As Raleigh, Durham, and Chapel Hill were transformed by high-tech development, the old South gave way to a distinctly new one, which welded the intellectual power of universities to a vision of the suburban good life. Cummings pinpoints how the story of the Research Triangle sheds new light on the origins of today’s urban landscape, in which innovation, as exemplified by the tech industry, is lauded as the engine of economic growth against a backdrop of gentrification and inequality. Placing the knowledge economy in a broader cultural and intellectual context, Brain Magnet offers vital insight into how tech-driven development occurs and the people and places left in its wake.
Brain Networks in Neuroscience: Personalization Unveiled Via Artificial Intelligence (River Publishers Series in Biotechnology and Medical Research)
by Sheikh Mohammed Shariful Islam Si Thu Aung Md. Mehedi Hassan Farhana Yasmin Anupam Kumar BairagiThis book is an in-depth exploration of brain networks, providing a comprehensive understanding of their structures, functions, and implications for personalization through artificial intelligence. Readers will gain insights into the intricate workings of the brain, making this book an indispensable resource for those seeking a thorough grasp of neuroscience concepts. It offers the seamless integration of neuroscience principles with artificial intelligence applications. The book bridges these two domains, elucidating how advancements in AI draw inspiration from the complexities of the human brain. This interdisciplinary approach sets the book apart, offering readers a holistic view of cutting-edge technologies. Readers can expect practical applications and real-world case studies that illustrate the tangible benefits of the concepts discussed. From personalized healthcare solutions to adaptive learning systems, the book goes beyond theory, empowering readers to apply knowledge in diverse domains. This practical emphasis enhances the book’s relevance for professionals and researchers alike. The inclusion of online enhancements, such as interactive visualizations, downloadable supplementary materials, and engaging video content, transforms the reading experience into an interactive learning journey. This added value distinguishes the book by providing readers with hands-on tools to deepen their understanding and apply newfound knowledge.This book doesn’t just dwell on current technologies; it takes readers into the future by exploring emerging trends at the intersection of neuroscience and artificial intelligence. By delving into potential breakthroughs and innovations, the book equips readers with insights that are forward-thinking and relevant in an ever-evolving technological landscape.
Brain Rush: How to Invest and Compete in the Real World of Generative AI
by Peter CohanAfter decades of false starts, artificial intelligence (AI) is entering the mainstream of society. That is largely due to the rapid adoption of ChatGPT, a service that responds to almost any natural language question with cogent paragraphs. ChatGPT is the leading example of generative AI -- technology that creates original text, images, video and computer code based on uncovering patterns in training data. The book will explain how generative AI works and how much economic value it could create and will map out the industry value network. For each value network stage, the book will define the industry, estimate its size, growth rate, and profit potential, identify the most successful participants, and explain how they have achieved their success and where they will compete in the future. The book will conclude with a section on what investors and business leaders should do to make an informed decision on where to place their bets.What You Will LearnInsights on how best to assemble the resources – whether by hiring a consultant or bringing on board a generative AI expert -- to build, train, and operate company specific generative AI applicationsHow management can brainstorm, evaluate and execute the right opportunitiesConcepts and processes to enable investors to place bets with the highest risk-adjusted returnsWho This Book is ForBusiness and enterprises seeking to get value from generative AI, current or potential suppliers of technology and services to companies that build generative AI, and venture capitalists and public equity investors seeking to make profitable bets on generative AI companies
Brain Storm Optimization Algorithms: Concepts, Principles and Applications (Adaptation, Learning, and Optimization #23)
by Yuhui Shi Shi ChengBrain Storm Optimization (BSO) algorithms are a new kind of swarm intelligence method, which is based on the collective behavior of human beings, i.e., on the brainstorming process. Since the introduction of BSO algorithms in 2011, many studies on them have been conducted. They not only offer an optimization method, but could also be viewed as a framework of optimization techniques. The process employed in the algorithms could be simplified as a framework with two basic operations: the converging operation and the diverging operation. A “good enough” optimum could be obtained through recursive solution divergence and convergence. The resulting optimization algorithm would naturally have the capability of both convergence and divergence.This book is primarily intended for researchers, engineers, and graduate students with an interest in BSO algorithms and their applications. The chapters cover various aspects of BSO algorithms, and collectively provide broad insights into what these algorithms have to offer. The book is ideally suited as a graduate-level textbook, whereby students may be tasked with the study of the rich variants of BSO algorithms that involves a hands-on implementation to demonstrate the utility and applicability of BSO algorithms in solving optimization problems.
Brain Technology in Augmented Cognition: Current and Future Trends
by Suraj SoodBrain Technology in Augmented Cognition: Current and Future Trends informs engineers interested in human-computer interaction about the current state of augmented cognition. Its scope includes recent advances in electroencephalography (EEG), neural network (NN), and brain-computer interface (BCI) brain technologies.The title explores in detail each technological approach to augmented cognition and offers conclusions to them, summarizing the work and their respective futures. Augmented cognition research often includes the use of brain technology, and this book addresses advances in augmented cognition and its applications. It details recent uses of EEG, NN, and BCI in the field and how they may augment user, researcher, and practitioner cognition. Focusing on the use of EEG for eye-tracking, NN logic, and the BCI application of motor-imagery (MI) and discussing challenges and opportunities relevant to such applications, the title is a useful introduction to the subject matter.This is an engaging read for any student, researcher or academic in the fields of engineering, augmented cognition, human-computer interaction and human factors/ergonomics who will learn the basics and key concepts of augmented cognition through this simple and straightforward title.