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Defence Against Bioterrorism
This volume is based on a multidisciplinary approach towards biological and chemical threats that can, and have been previously used in bioterrorism attacks around the globe. Current knowledge and evidence-based principles from the fields of synthetic biology, microbiology, plant biology, chemistry, food science, forensics, tactics, infective medicine, psychology and others are compiled to address numerous aspects and the complexity of bioterrorism attacks. The main focus is on biological threats, especially in the context of synthetic biology and its emerging findings that can be observed as possible threat and tool. The book examines microorganisms and their possible use in forensics, i.e....
Biopreparedness and Public Health
The terrorist use of diseases as bioweapons has been one of the major security concerns in recent years, particularly after the anthrax letter attacks in the USA in 2001. This uncertain threat of intentional outbreaks of diseases exists side by side with the constantly changing very real threat from diseases, epidemics and pandemics as recently illustrated by the H1N1 influenza pandemic, SARS, and H5N1 bird influenza events. This publication contains case studies on the public health planning for (un)usual disease outbreaks for 11 large and small countries with a focus on South Eastern Europe. In many countries, military entities traditionally play an important role in emergency response to ...
Machine Learning and Knowledge Discovery in Databases
This three-volume set LNAI 8724, 8725 and 8726 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The 115 revised research papers presented together with 13 demo track papers, 10 nectar track papers, 8 PhD track papers, and 9 invited talks were carefully reviewed and selected from 550 submissions. The papers cover the latest high-quality interdisciplinary research results in all areas related to machine learning and knowledge discovery in databases.
The Covid-19 Intelligence Failure
An in-depth analysis of why COVID-19 warnings failed and how to avert the next disaster Epidemiologists and national security agencies warned for years about the potential for a deadly pandemic, but in the end global surveillance and warning systems were not enough to avert the COVID-19 disaster. In The COVID-19 Intelligence Failure, Erik J. Dahl demonstrates that understanding how intelligence warnings work ? and how they fail ? shows why the years of predictions were not enough. In the first in-depth analysis of the topic, Dahl examines the roles that both traditional intelligence services and medical intelligence and surveillance systems play in providing advance warning against public he...
Fuzzy Systems and Data Mining VII
Fuzzy systems and data mining are indispensible aspects of the computer systems and algorithms on which the world has come to depend. This book presents papers from FSDM 2021, the 7th International Conference on Fuzzy Systems and Data Mining. The conference, originally due to take place in Seoul, South Korea, was held online on 26-29 October 2021, due to ongoing restrictions connected with the COVID-19 pandemic. The annual FSDM conference provides a platform for knowledge exchange between international experts, researchers, academics and delegates from industry. This year, the committee received 266 submissions, and this book contains 52 papers, including keynotes and invited presentations, ...
Human-Like Decision Making and Control for Autonomous Driving
This book details cutting-edge research into human-like driving technology, utilising game theory to better suit a human and machine hybrid driving environment. Covering feature identification and modelling of human driving behaviours, the book explains how to design an algorithm for decision making and control of autonomous vehicles in complex scenarios. Beginning with a review of current research in the field, the book uses this as a springboard from which to present a new theory of human-like driving framework for autonomous vehicles. Chapters cover system models of decision making and control, driving safety, riding comfort and travel efficiency. Throughout the book, game theory is appli...
ECAI 2010
LC copy bound in 2 v.: v. 1, p. 1-509; v. 2, p. [509]-1153.
Exploring Inductive Risk
This book brings together eleven case studies of inductive risk-the chance that scientific inference is incorrect-that range over a wide variety of scientific contexts and fields. The chapters are designed to illustrate the pervasiveness of inductive risk, assist scientists and policymakers in responding to it, and productively move theoretical discussions of the topic forward.
Text and Social Media Analytics for Fake News and Hate Speech Detection
Identifying and stopping the dissemination of fabricated news, hate speech, or deceptive information camouflaged as legitimate news poses a significant technological hurdle. This book presents emergent methodologies and technological approaches of natural language processing through machine learning for counteracting the spread of fake news and hate speech on social media platforms. • Covers various approaches, algorithms, and methodologies for fake news and hate speech detection. • Explains the automatic detection and prevention of fake news and hate speech through paralinguistic clues on social media using artificial intelligence. • Discusses the application of machine learning models to learn linguistic characteristics of hate speech over social media platforms. • Emphasizes the role of multilingual and multimodal processing to detect fake news. • Includes research on different optimization techniques, case studies on the identification, prevention, and social impact of fake news, and GitHub repository links to aid understanding. The text is for professionals and scholars of various disciplines interested in fake news and hate speech detection.
Discourse and Conflict
This edited book analyses the relationship between discourse and conflict, exploring both how language may be used to promote conflict and also how it is possible to avoid or mitigate conflict through tactical use of language. Bringing together contributions from both established scholars and emerging voices in the fields of Discourse Analysis and Conflict Studies, it argues for a discourse approach to making sense of conflict and disagreement in the modern world. ‘Conflict’ is understood here as having a national or global focus and consequences, and includes verbal aggression and hate speech, as well as physical confrontation between political and ethnic groups or states over values, c...
