Download or read book Behavior Analysis with Machine Learning Using R written by Enrique Garcia Ceja and published by CRC Press. This book was released on 2021-11-26 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: Behavior Analysis with Machine Learning Using R introduces machine learning and deep learning concepts and algorithms applied to a diverse set of behavior analysis problems. It focuses on the practical aspects of solving such problems based on data collected from sensors or stored in electronic records. The included examples demonstrate how to perform common data analysis tasks such as: data exploration, visualization, preprocessing, data representation, model training and evaluation. All of this, using the R programming language and real-life behavioral data. Even though the examples focus on behavior analysis tasks, the covered underlying concepts and methods can be applied in any other domain. No prior knowledge in machine learning is assumed. Basic experience with R and basic knowledge in statistics and high school level mathematics are beneficial. Features: Build supervised machine learning models to predict indoor locations based on WiFi signals, recognize physical activities from smartphone sensors and 3D skeleton data, detect hand gestures from accelerometer signals, and so on. Program your own ensemble learning methods and use Multi-View Stacking to fuse signals from heterogeneous data sources. Use unsupervised learning algorithms to discover criminal behavioral patterns. Build deep learning neural networks with TensorFlow and Keras to classify muscle activity from electromyography signals and Convolutional Neural Networks to detect smiles in images. Evaluate the performance of your models in traditional and multi-user settings. Build anomaly detection models such as Isolation Forests and autoencoders to detect abnormal fish behaviors. This book is intended for undergraduate/graduate students and researchers from ubiquitous computing, behavioral ecology, psychology, e-health, and other disciplines who want to learn the basics of machine learning and deep learning and for the more experienced individuals who want to apply machine learning to analyze behavioral data.
Download or read book Human Behavior Analysis Sensing and Understanding written by Zhiwen Yu and published by Springer Nature. This book was released on 2020-02-29 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the last decade, there has been a growing interest in human behavior analysis, motivated by societal needs such as security, natural interfaces, affective computing, and assisted living. However, the accurate and non-invasive detection and recognition of human behavior remain major challenges and the focus of many research efforts. Traditionally, in order to identify human behavior, it is first necessary to continuously collect the readings of physical sensing devices (e.g., camera, GPS, and RFID), which can be worn on human bodies, attached to objects, or deployed in the environment. Afterwards, using recognition algorithms or classification models, the behavior types can be identified so as to facilitate advanced applications. Although such traditional approaches deliver satisfactory performance and are still widely used, most of them are intrusive and require specific sensing devices, raising issues such as privacy and deployment costs. In this book, we will present our latest findings on non-invasive sensing and understanding of human behavior. Specifically, this book differs from existing literature in the following senses. Firstly, we focus on approaches that are based on non-invasive sensing technologies, including both sensor-based and device-free variants. Secondly, while most existing studies examine individual behaviors, we will systematically elaborate on how to understand human behaviors of various granularities, including not only individual-level but also group-level and community-level behaviors. Lastly, we will discuss the most important scientific problems and open issues involved in human behavior analysis.
Download or read book NBS Special Publication written by and published by . This book was released on 1968 with total page 700 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Publications of the National Institute of Standards and Technology Catalog written by National Institute of Standards and Technology (U.S.) and published by . This book was released on 1979 with total page 696 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Handbook of Research on Threat Detection and Countermeasures in Network Security written by Al-Hamami, Alaa Hussein and published by IGI Global. This book was released on 2014-10-31 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cyber attacks are rapidly becoming one of the most prevalent issues in the world. As cyber crime continues to escalate, it is imperative to explore new approaches and technologies that help ensure the security of the online community. The Handbook of Research on Threat Detection and Countermeasures in Network Security presents the latest methodologies and trends in detecting and preventing network threats. Investigating the potential of current and emerging security technologies, this publication is an all-inclusive reference source for academicians, researchers, students, professionals, practitioners, network analysts, and technology specialists interested in the simulation and application of computer network protection.
Download or read book Publications written by United States. National Bureau of Standards and published by . This book was released on 1979 with total page 702 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Identifying the Epileptic Network written by Don Tucker and published by Frontiers E-books. This book was released on 2014-10-30 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: An important area of current research in epilepsy focuses on identifying the specific regions within the brain that are affected in individuals with recurring seizures. The epileptogenic process may result not only in pathology in focal cortical regions, but abnormalities in subcortical structures, such as thalamus and basal ganglia, and in intercortical and intracortical connecting white matter pathways. Novel methods of treating refractory epilepsy are urgently needed. The goal of identifying for each affected individual the specific brain regions that are involved offers the promise that novel methods of treatment will one day be developed that specifically target those abnormal regions. Researchers from disparate fields are required to develop and advance this area of research, and this current topic proposes to place a spotlight on the “state of the art” of methods to identify the abnormal networks. Recent work covering a wide variety of disciplines and technologies, including dense array electroencephalography (dEEG), novel methods of analyses of both the interictal dEEG and intracranial EEG (icEEG), magnetoencephalography (MEG), high-resolution magnetic resonance imaging (MRI), functional MRI (fMRI), simultaneous fMRI-EEG, fMRI connectivity measures, simultaneous dEEG-icEEG, and techniques to coregister patient-specific MRI (including white matter pathways) and dEEG, are all examples of areas of research that have contributed to a greater understanding of potential epileptogenic regions. We asked for individuals with expertise in an area of research that expands an understanding of identifying epileptic networks to contribute to this research topic.
Download or read book Publications of the National Bureau of Standards 1978 Catalog written by United States. National Bureau of Standards and published by . This book was released on 1979 with total page 692 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Publications of the National Bureau of Standards Catalog written by United States. National Bureau of Standards and published by . This book was released on 1979 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Complex Networks IV written by Gourab Ghoshal and published by Springer. This book was released on 2013-02-19 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: A network is a mathematical object consisting of a set of points (called vertices or nodes) that are connected to each other in some fashion by lines (called edges). Turns out this simple description corresponds to a bewildering array of systems in the real world, ranging from technological ones such as the Internet and World Wide Web, biological networks such as that of connections of the nervous systems or blood vessels, food webs, protein interactions, infrastructural systems such as networks of roads, airports or the power-grid, to patterns of social acquaintance such as friendship, network of Hollywood actors, connections between business houses and many more. Recent years have witnessed a substantial amount of interest within the scientific community in the properties of these networks. The emergence of the internet in particular, coupled with the widespread availability of inexpensive computing resources has facilitated studies ranging from large scale empirical analysis of networks in the real world, to the development of theoretical models and tools to explore the various properties of these systems. The study of networks is broadly interdisciplinary and central developments have occurred in many fields, including mathematics, physics, computer and information sciences, biology, and the social sciences. This book brings together a collection of cutting-edge research in the field from a diverse array of researchers ranging from physicists to social scientists, and presents them in a coherent fashion, highlighting the strong interconnections between the different areas. Topics included are social networks and social media, opinion and innovation diffusion, syncronization, transportation networks and human mobility, as well as theory, modeling and metrics of Complex Networks.
Download or read book Behavior and Self Similarity between Nano and Human Scales From T pattern and T string Analysis TPA with THEME to T Societies written by Magnus S. Magnusson and published by Frontiers Media SA. This book was released on 2023-09-12 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: This project was inspired in the sixties by primatologist D. Morris’s “The Naked Ape”, Niko Tinbergen, K. Lorenz, and K. von Frisch ethological research rewarded in 1973 by a shared Nobel Prize in Medicine or Physiology and E. O. Wilson’s 1975 opus “Sociobiology”. Other important inspirations were B. F. Skinner’s work on probabilistic real-time contingencies, N. Chomsky’s on syntactic structure and creativity, H. Montagner’s on interactions in social insects and children, S. Duncan’s on turn-taking in human dyadic interactions, and Richard Dawkins’ on behavioral hierarchy and detection algorithms. Structured animal mass-societies (>104 individuals) are only found in insects and modern humans and understanding their similarities and differences became a major aim through a search for hidden interaction patterns. Existing multivariate and artificial neural network methods and models lacked adequate description and detection of complex real-time patterns requiring new mathematical time structure (1-D) models, now the T-system, with detection algorithms and software (THEME™).
Download or read book Biomedical Index to PHS supported Research written by and published by . This book was released on 1990 with total page 866 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Proceedings of the 2012 International Conference on Information Technology and Software Engineering written by Wei Lu and published by Springer Science & Business Media. This book was released on 2012-11-06 with total page 957 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the 2012 International Conference on Information Technology and Software Engineering presents selected articles from this major event, which was held in Beijing, December 8-10, 2012. This book presents the latest research trends, methods and experimental results in the fields of information technology and software engineering, covering various state-of-the-art research theories and approaches. The subjects range from intelligent computing to information processing, software engineering, Web, unified modeling language (UML), multimedia, communication technologies, system identification, graphics and visualizing, etc. The proceedings provide a major interdisciplinary forum for researchers and engineers to present the most innovative studies and advances, which can serve as an excellent reference work for researchers and graduate students working on information technology and software engineering. Prof. Wei Lu, Dr. Guoqiang Cai, Prof. Weibin Liu and Dr. Weiwei Xing all work at Beijing Jiaotong University.
Download or read book INTRODUCTION TO DATA MINING WITH CASE STUDIES written by G. K. GUPTA and published by PHI Learning Pvt. Ltd.. This book was released on 2014-06-28 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of data mining provides techniques for automated discovery of valuable information from the accumulated data of computerized operations of enterprises. This book offers a clear and comprehensive introduction to both data mining theory and practice. It is written primarily as a textbook for the students of computer science, management, computer applications, and information technology. The book ensures that the students learn the major data mining techniques even if they do not have a strong mathematical background. The techniques include data pre-processing, association rule mining, supervised classification, cluster analysis, web data mining, search engine query mining, data warehousing and OLAP. To enhance the understanding of the concepts introduced, and to show how the techniques described in the book are used in practice, each chapter is followed by one or two case studies that have been published in scholarly journals. Most case studies deal with real business problems (for example, marketing, e-commerce, CRM). Studying the case studies provides the reader with a greater insight into the data mining techniques. The book also provides many examples, review questions, multiple choice questions, chapter-end exercises and a good list of references and Web resources especially those which are easy to understand and useful for students. A number of class projects have also been included.
Download or read book Malware Science written by Shane Molinari and published by Packt Publishing Ltd. This book was released on 2023-12-15 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock the secrets of malware data science with cutting-edge techniques, AI-driven analysis, and international compliance standards to stay ahead of the ever-evolving cyber threat landscape Key Features Get introduced to three primary AI tactics used in malware and detection Leverage data science tools to combat critical cyber threats Understand regulatory requirements for using AI in cyber threat management Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIn today's world full of online threats, the complexity of harmful software presents a significant challenge for detection and analysis. This insightful guide will teach you how to apply the principles of data science to online security, acting as both an educational resource and a practical manual for everyday use. Malware Science starts by explaining the nuances of malware, from its lifecycle to its technological aspects before introducing you to the capabilities of data science in malware detection by leveraging machine learning, statistical analytics, and social network analysis. As you progress through the chapters, you’ll explore the analytical methods of reverse engineering, machine language, dynamic scrutiny, and behavioral assessments of malicious software. You’ll also develop an understanding of the evolving cybersecurity compliance landscape with regulations such as GDPR and CCPA, and gain insights into the global efforts in curbing cyber threats. By the end of this book, you’ll have a firm grasp on the modern malware lifecycle and how you can employ data science within cybersecurity to ward off new and evolving threats.What you will learn Understand the science behind malware data and its management lifecycle Explore anomaly detection with signature and heuristics-based methods Analyze data to uncover relationships between data points and create a network graph Discover methods for reverse engineering and analyzing malware Use ML, advanced analytics, and data mining in malware data analysis and detection Explore practical insights and the future state of AI’s use for malware data science Understand how NLP AI employs algorithms to analyze text for malware detection Who this book is for This book is for cybersecurity experts keen on adopting data-driven defense methods. Data scientists will learn how to apply their skill set to address critical security issues, and compliance officers navigating global regulations like GDPR and CCPA will gain indispensable insights. Academic researchers exploring the intersection of data science and cybersecurity, IT decision-makers overseeing organizational strategy, and tech enthusiasts eager to understand modern cybersecurity will also find plenty of useful information in this guide. A basic understanding of cybersecurity and information technology is a prerequisite.
Download or read book Practical Machine Learning for Data Analysis Using Python written by Abdulhamit Subasi and published by Academic Press. This book was released on 2020-06-05 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical Machine Learning for Data Analysis Using Python is a problem solver's guide for creating real-world intelligent systems. It provides a comprehensive approach with concepts, practices, hands-on examples, and sample code. The book teaches readers the vital skills required to understand and solve different problems with machine learning. It teaches machine learning techniques necessary to become a successful practitioner, through the presentation of real-world case studies in Python machine learning ecosystems. The book also focuses on building a foundation of machine learning knowledge to solve different real-world case studies across various fields, including biomedical signal analysis, healthcare, security, economics, and finance. Moreover, it covers a wide range of machine learning models, including regression, classification, and forecasting. The goal of the book is to help a broad range of readers, including IT professionals, analysts, developers, data scientists, engineers, and graduate students, to solve their own real-world problems. - Offers a comprehensive overview of the application of machine learning tools in data analysis across a wide range of subject areas - Teaches readers how to apply machine learning techniques to biomedical signals, financial data, and healthcare data - Explores important classification and regression algorithms as well as other machine learning techniques - Explains how to use Python to handle data extraction, manipulation, and exploration techniques, as well as how to visualize data spread across multiple dimensions and extract useful features
