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Neuroimaging of Headache Disorders (Headache)
by Igor Petrušić Yonggang WangThis book offers a comprehensive overview of structural and functional neuroimaging findings related to the pathophysiology of primary and secondary headaches. In addition, it provides recommendations for best practice and decision-making in ordering neuroimaging investigation when faced with patients suffering from a vast range of headache types, whether in everyday practice, or in an ambulance or emergency room. Hopefully, this book will promote the adequate use of cutting-edge neuroimaging in headache research and in ongoing clinical trials in major neurology centers in Europe and worldwide. The structure of the book is designed to cover the basic principles of neuroimaging that neurologists should be aware of when making decisions about headache management, scientifically based recommendations for the application of different neuroimaging protocols in the emergency department and in the neurological clinic, the latest findings from advanced neuroimaging related to migraine without and with aura, chronic migraine and medication overuse headache, cluster headache, trigeminal neuralgia and other forms of headache and orofacial pain. Finally, the book contains a chapter on future directions in headache neuroimaging and the implementation of machine and deep learning algorithms in the neuroimaging and classification of headaches and the prediction of treatment outcomes. Neurologists, radiologists and physicians involved in pain medicine will benefit from this book, by having access to comprehensive, state-of-the-art knowledge on research and clinical practice in the field of headache neuroimaging. Furthermore, it could be a compendium for medical students and residents who are usually introduced to headache neuroimaging through multidisciplinary university programmes. Headache patients will also benefit from this book, being helped to better understand their condition from a neuroimaging techniques perspective.
Neuromorphic Computing Principles and Organization
by Abderazek Ben Abdallah Khanh N. DangThis book focuses on neuromorphic computing principles and organization and how to build fault-tolerant scalable hardware for large and medium scale spiking neural networks with learning capabilities. In addition, the book describes in a comprehensive way the organization and how to design a spike-based neuromorphic system to perform network of spiking neurons communication, computing, and adaptive learning for emerging AI applications. The book begins with an overview of neuromorphic computing systems and explores the fundamental concepts of artificial neural networks. Next, we discuss artificial neurons and how they have evolved in their representation of biological neuronal dynamics. Afterward, we discuss implementing these neural networks in neuron models, storage technologies, inter-neuron communication networks, learning, and various design approaches. Then, comes the fundamental design principle to build an efficient neuromorphic system in hardware. The challenges that need to be solved toward building a spiking neural network architecture with many synapses are discussed. Learning in neuromorphic computing systems and the major emerging memory technologies that promise neuromorphic computing are then given.A particular chapter of this book is dedicated to the circuits and architectures used for communication in neuromorphic systems. In particular, the Network-on-Chip fabric is introduced for receiving and transmitting spikes following the Address Event Representation (AER) protocol and the memory accessing method. In addition, the interconnect design principle is covered to help understand the overall concept of on-chip and off-chip communication. Advanced on-chip interconnect technologies, including si-photonic three-dimensional interconnects and fault-tolerant routing algorithms, are also given. The book also covers the main threats of reliability and discusses several recovery methods for multicore neuromorphic systems. This is important for reliable processing in several embedded neuromorphic applications. A reconfigurable design approach that supports multiple target applications via dynamic reconfigurability, network topology independence, and network expandability is also described in the subsequent chapters. The book ends with a case study about a real hardware-software design of a reliable three-dimensional digital neuromorphic processor geared explicitly toward the 3D-ICs biological brain’s three-dimensional structure. The platform enables high integration density and slight spike delay of spiking networks and features a scalable design. We present methods for fault detection and recovery in a neuromorphic system as well.Neuromorphic Computing Principles and Organization is an excellent resource for researchers, scientists, graduate students, and hardware-software engineers dealing with the ever-increasing demands on fault-tolerance, scalability, and low power consumption. It is also an excellent resource for teaching advanced undergraduate and graduate students about the fundamentals concepts, organization, and actual hardware-software design of reliable neuromorphic systems with learning and fault-tolerance capabilities.
Neuromorphic Computing Principles and Organization
by Abderazek Ben Abdallah Khanh N. DangThe second edition of Neuromorphic Computing Principles and Organization delves deeply into neuromorphic computing, focusing on designing fault-tolerant, scalable hardware for spiking neural networks. Each chapter includes exercises to enhance understanding. All existing chapters have been meticulously revised, and a new chapter on advanced neuromorphic prosthesis design serves as a comprehensive case study. The book starts with an overview of neuromorphic systems and fundamental artificial neural network concepts. It explores artificial neurons, neuron models, storage technologies, inter-neuron communication, learning mechanisms, and design approaches. Detailed discussions cover challenges in constructing spiking neural networks and emerging memory technologies. A dedicated chapter addresses circuits and architectures, including Network-on-Chip (NoC) fabric, Address Event Representation (AER), memory access methods, and photonic interconnects. Reliability issues, recovery methods for multicore systems, and reconfigurable designs supporting multiple applications are examined. The book also describes the hardware-software design of a three-dimensional neuromorphic processor, focusing on high integration density, minimal spike delay, and scalable design. The book concludes with a comprehensive review of neuromorphic systems, providing a detailed analysis of the field and an overarching understanding of the key concepts discussed throughout the text.
Neuromorphic Computing and Beyond: Parallel, Approximation, Near Memory, and Quantum
by Khaled Salah MohamedThis book discusses and compares several new trends that can be used to overcome Moore’s law limitations, including Neuromorphic, Approximate, Parallel, In Memory, and Quantum Computing. The author shows how these paradigms are used to enhance computing capability as developers face the practical and physical limitations of scaling, while the demand for computing power keeps increasing. The discussion includes a state-of-the-art overview and the essential details of each of these paradigms.
Neuromorphic Computing: Transforming Disaster Management and Resilience in Civil Engineering (SpringerBriefs in Applied Sciences and Technology)
by Ali Akbar Firoozi Ali Asghar FirooziThis book delves into the transformative potential of neuromorphic computing within the field of civil engineering, specifically focusing on its application to disaster management. With the increasing frequency and severity of natural disasters, traditional disaster management systems face significant challenges in prediction accuracy, response time, and effective resource allocation. Neuromorphic computing, inspired by the neural processes of the human brain, offers a revolutionary approach to addressing these challenges. Through an in-depth exploration, this book outlines the theoretical foundations of neuromorphic computing, its integration into smart infrastructure, and the development of advanced predictive models for natural disasters such as earthquakes, floods, and urban fires. Additionally, it examines the technical, ethical, and social considerations inherent in deploying these technologies, alongside a vision for their future development. The convergence of neuromorphic computing and civil engineering heralds a new era of enhanced resilience, where more informed, rapid, and effective disaster management strategies are not just a possibility but a reality. The book contributes to the discourse on leveraging cutting-edge computing technologies to foster safer, more resilient communities in the face of natural calamities.
Neuromorphic Engineering: The Scientist’s, Algorithms Designer’s and Computer Architect’s Perspectives on Brain-Inspired Computing
by Elishai Ezra TsurThe brain is not a glorified digital computer. It does not store information in registers, and it does not mathematically transform mental representations to establish perception or behavior. The brain cannot be downloaded to a computer to provide immortality, nor can it destroy the world by having its emerged consciousness traveling in cyberspace. However, studying the brain's core computation architecture can inspire scientists, computer architects, and algorithm designers to think fundamentally differently about their craft. Neuromorphic engineers have the ultimate goal of realizing machines with some aspects of cognitive intelligence. They aspire to design computing architectures that could surpass existing digital von Neumann-based computing architectures' performance. In that sense, brain research bears the promise of a new computing paradigm. As part of a complete cognitive hardware and software ecosystem, neuromorphic engineering opens new frontiers for neuro-robotics, artificial intelligence, and supercomputing applications. This book will present neuromorphic engineering from three perspectives: the scientist, the computer architect, and the algorithm designer. We will zoom in and out of the different disciplines, allowing readers with diverse backgrounds to understand and appreciate the field. Overall, the book will cover the basics of neuronal modeling, neuromorphic circuits, neural architectures, event-based communication, and the neural engineering framework. Readers will have the opportunity to understand the different views over the inherently multidisciplinary field of neuromorphic engineering.
Neuromorphic Intelligence: Learning, Architectures and Large-Scale Systems (Synthesis Lectures on Engineering, Science, and Technology)
by Badong Chen Shuangming YangThis book provides a valuable resource on the design of neuromorphic intelligence, which serves as a computational foundation for building compact and low-power brain-inspired intelligent systems. The book introduces novel spiking neural network learning algorithms, including spike-based learning based on the multi-compartment model and spike-based learning with information theory. These offer important insights and academic value for readers to grasp the latest advances in neural-inspired learning. Additionally, the book presents insights and approaches to the design of scalable neuromorphic architectures, which are crucial foundations for achieving highly cognitive and energy-efficient computing systems. Furthermore, the book introduces representative large-scale neuromorphic systems and reviews several recently implemented large-scale digital neuromorphic systems by the authors, providing corresponding application scenarios.
Neuromorphic Solutions for Sensor Fusion and Continual Learning Systems: Applications in Drone Navigation and Radar Sensing
by Francky Catthoor Georges Gielen Ali Safa Lars KeuninckxThis book provides novel theoretical foundations and experimental demonstrations of Spiking Neural Networks (SNNs) in tasks such as radar gesture recognition for IoT devices and autonomous drone navigation using a fusion of retina-inspired event-based camera and radar sensing. The authors describe important new findings about the Spike-Timing-Dependent Plasticity (STDP) learning rule, which is widely believed to be one of the key learning mechanisms taking place in the brain. Readers will be enabled to create novel classes of edge AI and robotics applications, using highly energy- and area-efficient SNNs
Neuromorphic and Brain-Based Robots
by Hiroaki Wagatsuma Jeffrey L. KrichmarNeuromorphic and brain-based robotics have enormous potential for furthering our understanding of the brain. By embodying models of the brain on robotic platforms, researchers can investigate the roots of biological intelligence and work towards the development of truly intelligent machines. This book provides a broad introduction to this groundbreaking area for researchers from a wide range of fields, from engineering to neuroscience. Case studies explore how robots are being used in current research, including a whisker system that allows a robot to sense its environment and neurally inspired navigation systems that show impressive mapping results. Looking to the future, several chapters consider the development of cognitive, or even conscious robots that display the adaptability and intelligence of biological organisms. Finally, the ethical implications of intelligent robots are explored, from morality and Asimov's three laws to the question of whether robots have rights.
Neuronale Modellierung der Sprachverarbeitung und des Sprachlernens: Eine Einführung
by Bernd J. KrögerDieses Buch erläutert die Thematik der Produktion und Wahrnehmung gesprochener Sprache aus neurowissenschaftlicher Sicht. Nach der Darstellung der Grundlagen der Sprachverarbeitung und des Spracherwerbs wird dem Leser ein neurobiologisch basiertes und computerimplementiertes neuronales Simulationsmodell vorgestellt. Diese Einführung in die quantitative und computerimplementierbare Modellierung der Sprachverarbeitung und des Sprachlernens basiert auf einem naturwissenschaftlich orientierten Ansatz zur Beschreibung gesprochener Sprache. Dennoch wird weitgehend auf mathematische Beschreibungen verzichtet.Das Buch spricht Studierende und Wissenschaftler der Bereiche Neurowissenschaften, Informatik, Medizin, Psychologie und Linguistik an, die sich in das Gebiet der Sprachverarbeitung und des Spracherwerbs aus neurowissenschaftlicher Sicht einarbeiten möchten. Es richtet sich aber auch an Anwender, die sich mit der Entwicklung von Software zur Sprachverarbeitung befassen.
Neuronale Netze kompakt: Vom Perceptron zum Deep Learning (IT kompakt)
by Daniel SonnetDaten sind das neue Gold - und neuronale Netze haben bereits einigen Unternehmen geholfen, diesen Schatz auszugraben. Verschaffen Sie sich mit diesem Buch innerhalb kürzester Zeit einen soliden Überblick über neuronale Netze. Nach der Lektüre dieses Buches kennen Sie den historischen Werdegang dieser leistungsfähigen Approximatoren und Sie sind vertraut mit den aktuell wichtigsten Begriffen. Des Weiteren kennen Sie die Möglichkeiten sowie die Grenzen neuronaler Netze. Dieses Buch richtet sich in erster Linie an Praktiker, die einen schnellen Einstieg in das Thema suchen, ohne parallel einen Hochschulkurs in Mathematik und Statistik zu machen.
Neuroprosthetics and Brain-Computer Interfaces in Spinal Cord Injury: A Guide for Clinicians and End Users
by Gernot Müller-Putz Rüdiger RuppThis book provides a comprehensive overview of the current state of the art of practical applications of neuroprosthesis based on functional electrical stimulation for restoration of motor functions lost by spinal cord injury and discusses the use of brain-computer interfaces for their control.The book covers numerous topics starting with basics about spinal cord injury, electrical stimulation, electrical brain signals and brain-computer interfaces. It continues with an overview of neuroprosthetic solutions for different purposes and non-invasive and invasive brain-computer interface implementations and presents clinical use cases and practical applications of BCIs. Finally, the authors give an outlook on cutting edge research with a high potential for clinical translation in the near future.All authors committed themselves to use easy-to-understand language and to avoid very specific information, focusing instead on the essential aspects. This makes this book an ideal choice not only for researchers and clinicians at all stages of their education interested in the topic of brain-computer interface-controlled neuroprostheses, but also for end users and their caregivers who want to inform themselves about the current technological possibilities to improve paralyzed motor functions.
Neurorights and the Era of Neurotechnologies: An Analysis of the Brazilian Constitutional Law and the Need for New Fundamental Rights (SpringerBriefs in Law)
by Alisson Alexsandro PossaThis book provides an in-depth study on the theory of fundamental rights and the legal challenges posed by new technologies, with a particular focus on neurotechnologies and neurorights. The book begins with an overview of the evolution of neuroscience and neurotechnology, highlighting the current challenges these advancements pose to contemporary legal frameworks. It also discusses the potential for widespread adoption of these technologies, driven by significant investments from tech companies. The first chapter delves into the development of neuroscience and neurotechnology, emphasizing the legal implications and future concerns associated with their mass adoption. It explores how these technologies are being integrated into society and the legal challenges they present. The second chapter examines the concept of neurorights, identifying the legal objects these rights aim to protect and the new risks introduced by neurotechnologies. It provides a comprehensive review of the main neurorights proposals from recent decades, with a detailed analysis of the theoretical framework proposed by Marcello Ienca and Roberto Andorno in 2017. Their proposal includes four new human rights: cognitive freedom, mental privacy, mental integrity, and psychological continuity. The final chapter analyzes the relationship between neurorights and existing constitutional protections, focusing on the protection of human dignity. It discusses the right to free development of personality, physical and psychological integrity, and privacy and data protection. The chapter draws on theories of fundamental rights from Brazilian constitutionalists to provide a thorough examination of these issues. The book offers a broad analysis of the main neurorights proposals by international researchers, comparing them with the fundamental rights recognized in the Brazilian Constitution. It aims to determine whether new fundamental rights are necessary to protect Brazilian citizens from the potential harms of neurotechnology. This study is essential for researchers in neuroethics, neurorights, and fundamental rights, providing valuable insights into the intersection of law and emerging technologies.
Neurorobotics: Connecting the Brain, Body, and Environment (Intelligent Robotics and Autonomous Agents series)
by Jeffrey L. Krichmar Tiffany J. HwuAn introduction to neurorobotics that presents approaches and design principles for developing intelligent autonomous systems grounded in biology and neuroscience.Neurorobotics is an interdisciplinary field that draws on artificial intelligence, cognitive sciences, computer science, engineering, psychology, neuroscience, and robotics. Because the brain is closely coupled to the body and situated in the environment, neurorobots—autonomous systems modeled after some aspect of the brain—offer a powerful tool for studying neural function and may also be a means for developing autonomous systems with intelligence that rivals that of biological organisms. This textbook introduces approaches and design principles for developing intelligent autonomous systems grounded in biology and neuroscience. It is written for anyone interested in learning about this topic and can be used in cognitive robotics courses for students in psychology, cognitive science, and computer science.Neurorobotics covers the background and foundations of the field, with information on early neurorobots, relevant principles of neuroscience, learning rules and mechanisms, and reinforcement learning and prediction; neurorobot design principles grounded in neuroscience and principles of neuroscience research; and examples of neurorobots for navigation, developmental robotics, and social robots, presented with the cognitive science and neuroscience background that inspired them. A supplementary website offers videos, robot simulations, and links to software repositories with neurorobot examples.
Neuroscience, Robotics and Virtual Reality: Internalized Vs Externalized Mind/brain (Cognitive Computation Trends #1)
by Irini GiannopuluThis is the first volume in the Cognitive Computation Trends book series, summarising our understanding on the neural correlate of memory, perception-representation, action, language, emotion and consciousness and their mutual interactions. Integrating research in the field of the Neuroscience, Robotics and Virtual Reality, this book is an original and attainable resource that has not been developed in any other writing. In 5 chapters, the author considers that representations are based on allegorical traces and are consciously and/or unconsciously embrained, and that the creation of robots is the expression of the mind. Whole-body virtual motion is thought of as the archetypal expression of virtual reality. Therefore, visual reality is analysed in a context of visuo-vestibular and somesthetic conflict while mixed and augmented reality are scrutinised in a context of visuo-vestibular and somesthetic interaction. This monograph is an indispensable handbook for students and investigators engaged in history of science, philosophy, psychology, neuroscience, engineering and those interested in there interconnections. The ambition of the book is to give students and investigators ideas on which they can build their future research in this new blooming area.
Neurotechnology, Electronics, and Informatics
by Ana Rita Londral Pedro Encarnação José Luis Pons RoviraThe International Congress on Neurotechnology, Electronics, and Informatics (NEUROTECHNIX) took place in Algarve, Portugal in September of 2013. The congress provided a meeting point of academics and clinical and engineering professionals, promoting translational discussions on how research and technology can meet the needs of clinical practitioners and patients. NEUROTECHNIX emphasized research and application of neurotechnologies to various neurological disorders, including neuromuscular diseases, Parkinson's disease, developmental disorders, dementia, epilepsy, sleep disorders, Multiple Sclerosis, neuroinfections, brain tumors, stroke, traumatic brain injuries, Cerebral Palsy, spinal cord injury and vision and hearing disorders. Authors were invited to submit innovative research work that highlighted new advancements of neurotechnology. Papers describing case studies, advanced prototypes, systems, tools and techniques and general survey papers indicating future directions were encouraged. This book contains a limited selection of extended and revised versions of the best papers presented at the congress, by regular and keynote speakers.
Neutrosophic Paradigms: Neutrosophic Principles for Handling Uncertainty (Studies in Fuzziness and Soft Computing #435)
by Florentin Smarandache Zahid KhanThis book offers a comprehensive reference guide to neutrosophic theory and its applications in decision-making in numerous disciplines, ranging from business, economics and management, computer science, health and environmental sciences, and many others. Chapters were selected to cover: different extensions of neutrosophic sets, statistical techniques for dealing with imprecise data and decision-making, and a range of real-life examples. All in all, the book is intended to provide a timely update on the state-of-the-art in neutrosophic decision-making for researchers and professionals from various disciplines, as well as master’s and graduate students in mathematics, statistics, and computer science.
Never Look Back: She was the most brutal serial killer of our time. And she may have been my mother.
by A.L. Gaylin'Aflame with tension. An intricate, powerful thriller - rivals the very best of Harlan Coben and Lisa Gardner' AJ Finn, author of THE WOMAN IN THE WINDOW*****************She was the most brutal killer of our time. And she may have been my mother...When website columnist Robin Diamond is contacted by true crime podcast producer Quentin Garrison, she assumes it's a business matter. It's not. Quentin's podcast, Closure, focuses on a series of murders in the 1970s, committed by teen couple April Cooper and Gabriel LeRoy. It seems that Quentin has reason to believe Robin's own mother may be intimately connected with the killings.Robin thinks Quentin's claim is absurd. But is it? The more she researches the Cooper/LeRoy murders herself, the more disturbed she becomes by what she finds. Living just a few blocks from her, Robin's beloved parents are the one absolute she's always been able to rely upon, especially now amid rising doubts about her husband and frequent threats from internet trolls. Robin knows her mother better than anyone.But then her parents are brutally attacked, and Robin realises she doesn't know the truth at all...*****************'Completely absorbing with a knock-out twist' Harlan Coben'Gaylin is an expert at acute emotional observation combined with seamless plotting' Alex Marwood'AL Gaylin is at the top of her game, crafting exhilarating and audacious crime novels that are both rich in character and rivetingly told. They are, quite simply, not to be missed' Megan Abbott'AL Gaylin is a storyteller guaranteed to keep you up at night' Laura Lippman'AL Gaylin is a great storyteller' Mark Billingham'A fiendishly well-told thriller that deepens its grip the faster you read - I loved it' Louise CandlishIf you love Serial, S-Town, Clare Mackintosh, Cara Hunter, KL Slater or Lisa Jewell, you will be utterly gripped by this psychological thriller with a twist you'll never see coming...
Never Look Back: She was the most brutal serial killer of our time. And she may have been my mother.
by A.L. GaylinShe was the most brutal killer of our time. And she may have been my mother...When website columnist Robin Diamond is contacted by true crime podcast producer Quentin Garrison, she assumes it's a business matter. It's not. Quentin's podcast, Closure, focuses on a series of murders in the 1970s, committed by teen couple April Cooper and Gabriel LeRoy. It seems that Quentin has reason to believe Robin's own mother may be intimately connected with the killings.Robin thinks Quentin's claim is absurd. But is it? The more she researches the Cooper/LeRoy murders herself, the more disturbed she becomes by what she finds. Living just a few blocks from her, Robin's beloved parents are the one absolute she's always been able to rely upon, especially now amid rising doubts about her husband and frequent threats from internet trolls. Robin knows her mother better than anyone.But then her parents are brutally attacked, and Robin realises she doesn't know the truth at all...
Never Say Nether: An Unofficial Minecrafter's Novel (Secrets of an Overworld Survivor #4)
by Grace Sandford Greyson MannWill can hardly wait to explore the Nether with his best friend, Mina. But when his perfect older brother insists on coming along, Will’s excitement fades—he is sure he doesn’t need Seth’s protection!To prove it, Will challenges every mob they meet along the way to a fight. Will’s battle skills are improving, but when the trio reaches the Nether, they’re quickly in over their heads—and Will’s showing off puts everyone in danger! Can he learn to work together with his brother in order to survive?Beginning readers and young gamers alike will root for Will and Seth in this fourth installment in the Secrets of an Overworld Survivor series!
Never Send a Human to Do a Machine's Job: Correcting the Top 5 EdTech Mistakes
by Yong Zhao Dr Gaoming Zhang Jing Lei Wei QiuDo what you do best and let technology do the rest Technology has transformed lives. Why then, has it not transformed education? What needs to change to ensure integration that empowers students and enhances teacher depth? Learn how to let technology cultivate student autonomy, creativity, and responsibility while focusing on lessons that hone higher-order and critical thinking skills. See technology as a complement rather than a replacement Embrace its creation potential over consumption Encourage personalized learning, autonomy, and creativity over outcomes Celebrate digital competence over curriculum improvement Focus on tech-pedagogy over product usage
Never Send a Human to Do a Machine's Job: Correcting the Top 5 EdTech Mistakes
by Yong Zhao Dr Gaoming Zhang Jing Lei Wei QiuDo what you do best and let technology do the rest Technology has transformed lives. Why then, has it not transformed education? What needs to change to ensure integration that empowers students and enhances teacher depth? Learn how to let technology cultivate student autonomy, creativity, and responsibility while focusing on lessons that hone higher-order and critical thinking skills. See technology as a complement rather than a replacement Embrace its creation potential over consumption Encourage personalized learning, autonomy, and creativity over outcomes Celebrate digital competence over curriculum improvement Focus on tech-pedagogy over product usage
Never Waste a Good Crisis: Lessons Learned from Data Fraud and Questionable Research Practices (ASA-CRC Series on Statistical Reasoning in Science and Society)
by Klaas SijtsmaThis book covers statistical consequences of breaches of research integrity such as fabrication and falsification of data, and researcher glitches summarized as questionable research practices. It is unique in that it discusses how unwarranted data manipulation harms research results and that questionable research practices are often caused by researchers’ inadequate mastery of the statistical methods and procedures they use for their data analysis. The author’s solution to prevent problems concerning the trustworthiness of research results, no matter how they originated, is to publish data in publicly available repositories and encourage researchers not trained as statisticians not to overestimate their statistical skills and resort to professional support from statisticians or methodologists.The author discusses some of his experiences concerning mutual trust, fear of repercussions, and the bystander effect as conditions limiting revelation of colleagues’ possible integrity breaches. He explains why people are unable to mimic real data and why data fabrication using statistical models stills falls short of credibility. Confirmatory and exploratory research and the usefulness of preregistration, and the counter-intuitivenature of statistics, are discussed.The author questions the usefulness of statistical advice concerning frequentist hypothesis testing, Bayes-factor use, alternative statistics education, and reduction of situational disturbances like performance pressure, as stand-alone means to reduce questionable research practices when researchers lack experience with statistics.An interview with the author can be found here: https://www.tilburguniversity.edu/magazine/overview/former-rector-sijtsma-turn-statistician-fight-fraud-and-sloppiness.
New Achievements in Unmanned Systems: International Symposium on Unmanned Systems and the Defense Industry 2021 (Sustainable Aviation)
by T. Hikmet Karakoc Alper Dalkiran Nadir Yilmaz Ali Haydar ErcanUnmanned systems are one of the fastest-growing and widely developing technologies in the world, offering many possibilities for a variety of research fields. This book comprises the proceedings of the 2021 International Symposium on Unmanned Systems and the Defense Industry (ISUDEF), a multi-disciplinary conference on a broad range of current research and issues in areas such as autonomous technology, unmanned aircraft technologies, avionics, radar systems, air defense, aerospace robotics and mechatronics, and aircraft technology design. ISUDEF allows researchers, scientists, engineers, practitioners, policymakers, and students to exchange information, present new technologies and developments, and discuss future direction, strategies, and priorities in the field of autonomous vehicles and unmanned aircraft technologies.Covers a range of emerging topics;Addresses current issues on autonomous vehicles and unmanned aircraft;Full proceedings of ISUDEF 2021 held at Howard University.
New Advancements in Swarm Algorithms: Operators and Applications (Intelligent Systems Reference Library #160)
by Erik Cuevas Fernando Fausto Adrián GonzálezThis book presents advances in alternative swarm development that have proved to be effective in several complex problems. Swarm intelligence (SI) is a problem-solving methodology that results from the cooperation between a set of agents with similar characteristics. The study of biological entities, such as animals and insects, manifesting social behavior has resulted in several computational models of swarm intelligence. While there are numerous books addressing the most widely known swarm methods, namely ant colony algorithms and particle swarm optimization, those discussing new alternative approaches are rare. The focus on developments based on the simple modification of popular swarm methods overlooks the opportunity to discover new techniques and procedures that can be useful in solving problems formulated by the academic and industrial communities. Presenting various novel swarm methods and their practical applications, the book helps researchers, lecturers, engineers and practitioners solve their own optimization problems.