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Applications and Techniques in Information Security ; 11th International Conference, ATIS 2020, Brisbane, QLD, Australia, November 12–13, 2020, Proceedings
This book constitutes the refereed proceedings of the 11th International Conference on Applications and Techniques in Information Security, ATIS 2020, held in Brisbane, QLD, Australia, in November 2020. Due to the COVID-19 pandemic the conference was be held online. The 8 full papers presented in the volume were carefully reviewed and selected from 24 submissions. The papers are focused on all aspects on techniques and applications in information security research.
Applications and Innovations in Intelligent Systems XV ; Proceedings of AI-2007, the Twenty-seventh SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence
The papers in this volume are the refereed application papers presented at AI-2007, the Twenty-seventh SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, held in Cambridge in December 2007.
Applications and Innovations in Intelligent Systems XIII ; Proceedings of AI-2005, the Twenty-fifth SGAI International Conference on Innovative Techniques and Applications of Artifical Intelligence
The papers in this volume present new and innovative developments in the field, divided into sections on Applied AI in Information Processing, Techniques for Applied AI, Industrial Applications and Medical Applications.This is the thirteenth volume in the Applications and Innovations series. The series serves as a key reference as to how AI technology has enabled organisations to solve complex problems and gain significant business benefit.
Application of numerical methods in engineering problems using MATLAB
Presents an analysis of structures using numerical methods and mathematical modeling. This structural analysis also includes beam, plate, and pipe elements, and examines deflection and frequency or buckling loads. The various engineering theories of beams/plates/shells are comprehensively presented, and the relationships between stress and strain, and the governing equations of the structure are extracted. To solve governing equations with numerical methods, there are two general types, including methods based on derivatives or integrals. Derivative-based methods have the advantage of flexibility in modeling boundary conditions, low analysis time, and a very high degree of accuracy.
Application and theory of multimedia signal processing using machine learning or advanced methods
Consists of a collection of peer-reviewed published papers on various advanced technology researches related to signal processing applications and theories for multimedia systems using machine learning or advanced methods. Multimedia signals include image, video, audio, character recognition, and communication channel optimization for networks. The specific contents included in this book are data hiding, encryption, object detection, image classification, and character recognition.
Anxiety in health behaviors and physical illness
While the links between physical illness and depression have been well-documented and analyzed, little has been made of the data relating physical illness to anxiety—until now. Anxiety in Health Behavior and Physical Illness explores complex relationships between medical and anxiety pathology on the theoretical, research, and practical fronts. Over forty experts examine reciprocal roles of anxiety and medical illness as causal or exacerbating factors in each other’s onset and development, describe forms of anxiety typical to major disease entities, discuss common health behaviors as they impact anxiety, recast anxiety disorders as chronic illness, and identify patients for whom new forms of treatment may be warranted.
Antibiotics as Anti-Inflammatory and Immunomodulatory Agents
Although the potential for immunomodulation has been recognized for many years there has been an explosion of data in this field with relevance especially to the treatment of chronic airway diseases. Most of the work in this field has been conducted by Japanese investigators but in the last decade there has been a body of work outside of Japan that supports and enhances these findings. The book covers basic research like effects on bacteria, anti-inflammatory and mucoregulatory effects, but also clinical results with up-to-date information for the use of such medications to potentially treat diseases as diverse as chronic airway diseases, arthritis, inflammatory bowel disease, and cancer.
Antarctic ecosystems : Environmental contamination, climate change, and human impact
This volume provides an overview of climate change data, its effects on the structure and functioning of Antarctic ecosystems, and the occurrence and cycling of persistent contaminants. It discusses the unique physico-chemical characteristics of the Antarctic environment, ecophysiological adaptations of terrestrial and marine organisms, the transfer of contaminants in pelagic and neritic food chains and the possible consequences for animals at higher trophic levels.
Anomaly Detection : Techniques and Applications
When information in the data warehouse is processed, it follows a definite pattern. An unexpected deviation in the data pattern from the usual behavior is called an anomaly. The anomaly in the data is also referred to as noise, outlier, spammer, deviations, novelties and exceptions. Identification of the rare items, events, observations, patterns which raise suspension by differing significantly from the majority of data is called anomaly detection. With progress in the technologies and the widespread use of data for the purpose for business the increase in the spams faced by the individuals and the companies are increasing day by day. This noisy data has boomed as a major problem in various areas such as Internet of Things, web service, Machine Learning, Artificial Intelligence, Deep learning, Image Processing, Cloud Computing, Audio processing, Video Processing, VoIP, Data Science, Wireless Sensor etc. Identifying the anomaly data and filtering them before processing is a major challenge for the data analyst. This anomaly is unavoidable in all areas of research. This book covers the techniques and algorithms for detecting the deviated data.
Android smart health monitoring system
Recent years have witnessed an increasing interest in the application of machine learning to clinical informatics and healthcare system never forgetting that the data also states that half of the world's population uses mobile devices. Despite of the existence of tons of applications, algorithms, and systems, the achievement of prescribing proper food that is suitable for patient health case based on face health status, height, weight, daily calories etc.., wasn’t achieved yet because of the lack of knowledge in food therapy process. Our system provides the service of food suggestion based on the input that is inserted by the user in sign-up form which are (height, weight, age, etc….).
Android programming : The big Nerd Ranch guide (Big Nerd Ranch Guides)
For programmers with Kotlin experience. Based on Big Nerd Ranch's popular Android Bootcamp, this guide will lead you through the wilderness using hands-on example apps combined with clear explanations of key concepts and APIs. This book focuses on practical techniques for developing apps in Kotlin compatible with Android 7.0 (Nougat) through Android 12 and beyond. Write and run code every step of the way, using Android Studio to create apps that integrate with other apps, download and display pictures from the web, store data in databases, and more. Learn about the latest patterns and techniques, including Kotlin coroutines and Jetpack Compose, a new way to build Android UIs.
Anatomy ontologies for bioinformatics : Principles and practice
This book provides a timely and first-of-its-kind collection of contributed chapters on anatomy ontologies. It is interdisciplinary in its approach, bringing together relevant expertise from computing and biomedical studies, and covering both theoretical and applied aspects, with an emphasis on newer work relevant to the emerging Semantic Web.
Analyzing uncertainty in civil engineering
This volume addresses the issue of uncertainty in civil engineering from design to construction. Failures do occur in practice. Attributing them to a residual system risk or a faulty execution of the project does not properly cover the range of causes. A closer scrutiny of the adopted design, the engineering model, the data, the soil-construction-interaction and the model assumptions is required. Usually, the uncertainties in initial and boundary conditions are abundant. Current engineering practice often leaves these issues aside, despite the fact that new scientific tools have been developed in the past decades that allow a rational description of uncertainties of all kinds, from model uncertainty to data uncertainty. It is the aim of this volume to have a critical look at current engineering risk concepts in order to raise awareness of uncertainty in numerical computations, shortcomings of a strictly probabilistic safety concept, geotechnical models of failure mechanisms and their implications for construction management, execution, and the juristic question of responsibility. In addition, a number of the new procedures for modelling uncertainty are explained.
Analytical Ultracentrifugation VIII
This book presents a comprehensive collection of 21 contributions from leading scientists in this field covering a broad spectrum of topics and presenting recent progress concerning instrumentation, data analysis and modeling, biological systems, particles, colloids, synthetic macromolecules, interacting systems. Due to the versatility of this fascinating and powerful technique, information and original publications are widespread and comprehensive collections are rare. Therefore, this volume presents a valuable source for biologists, chemists, materials scientists, and physicists interested in most recent information, results and development related to this important analytical method.
Analysis of Waiting-Time Data in Health Services Research
Analysis of Waiting-Time Data in Health Services Research asks critical questions linking waiting times to health care outcomes. Generously illustrated with charts and tables, the book places this type of data collection, analysis, and reporting firmly in the context of health services research, the study of outcomes of health care delivery to a population.
Analysis of variance for random models, Vol. 2 : Unbalanced data : Theory, methods, applications, and data analysis
Analysis of variance (ANOVA) models have become widely used tools and play a fundamental role in much of the application of statistics today. In particular, ANOVA models involving random effects have found widespread application to experimental design in a variety of fields requiring measurements of variance, including agriculture, biology, animal breeding, applied genetics, econometrics, quality control, medicine, engineering, and social sciences. This two-volume work is a comprehensive presentation of different methods and techniques for point estimation, interval estimation, and tests of hypotheses for linear models involving random effects. Both Bayesian and repeated sampling procedures are considered. Volume I examines models with balanced data (orthogonal models); Volume II studies models with unbalanced data (nonorthogonal models).
Analysis of phylogenetics and evolution with R
This book integrates a wide variety of data analysis methods into a single and flexible interface: the R language. This open source language is available for a wide range of computer systems and has been adopted as a computational environment by many authors of statistical software. Adopting R as a main tool for phylogenetic analyses will ease the workflow in biologists' data analyses, ensure greater scientific repeatability, and enhance the exchange of ideas and methodological developments.
Analysis of microdata
The availability of microdata has increased rapidly over the last decades, and standard statistical and econometric software packages for data analysis include ever more sophisticated modeling options. The goal of this book is to familiarize readers with a wide range of commonly used models, and thereby to enable them to become critical consumers of current empirical research, and to conduct their own empirical analyses.
Analysis of integrated and cointegrated time series with R
The analysis of integrated and co-integrated time series can be considered as the main methodology employed in applied econometrics. This book not only introduces the reader to this topic but enables him to conduct the various unit root tests and co-integration methods on his own by utilizing the free statistical programming environment R. The book encompasses seasonal unit roots, fractional integration, coping with structural breaks, and multivariate time series models. The book is enriched by numerous programming examples to artificial and real data so that it is ideally suited as an accompanying text book to computer lab classes.
Analysis file of drug-induced lung injury : expert opinion for analysis of big data
Describes the pathologic conditions of drug-induced lung injuries, monitoring strategies, and guides on how to interpret the evidence. It also dives into particular drugs that caused the disorder, such as EGFR inhibitors, anti-EGFR antibodies, mTOR inhibitors, proteasome inhibitors, immune checkpoint inhibitors, neoangiogenesis inhibitors, and other molecular targeted drugs. It outlines the analysis and interpretation of the post-marketing survey on surveillance of each drug for inducing pulmonary lesions presenting diffuse haziness. The data and analysis from this survey are valuable since a guideline is yet to be established due to limited clinical evidence and cases. As new drugs are developed, establishing treatment and event management is crucial.
