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Legal Programming : Designing Legally Compliant RFID and Software Agent Architectures for Retail Processes and Beyond
LEGAL PROGRAMMING: Designing Legally Compliant RFID and Software Agent Architectures for Retail Processes and Beyond provides a process-oriented discussion of the legal concerns presented by agent-based technologies, processes and programming. It offers a general outline of the potential legal difficulties that could arise in relation to them, focusing on the programming of negotiation and contracting processes in a privacy, consumer and commercial context. The authors will elucidate how it is possible to create form of legal framework and design methodology for transaction agents, applicable in any environment and not just in a specific proprietary framework, that provides the right level of compliance and trust. Key elements considered include the design and programming of legally compliant methods, the determination of rights in respect of objects and variables, and ontologies and programming frameworks for agent interactions. Examples are used to illustrate the points made and provide a practical perspective.
Artificial Intelligent Techniques for Wireless Communication and Networking
Wireless communication and networking based on AI concepts and techniques are explored in this book, specifically focusing on the current research in the field by highlighting empirical results along with theoretical concepts. The possibility of applying AI mechanisms towards security aspects in the communication domain is elaborated; also explored is the application side of integrated technologies that enhance AI-based innovations, insights, intelligent predictions, cost optimization, inventory management, identification processes, classification mechanisms, cooperative spectrum sensing techniques, ad-hoc network architecture, and protocol and simulation-based environments.
Artificial intelligence-based Internet of things systems
Discusses the evolution of future generation technologies through Internet of Things (IoT) in the scope of Artificial Intelligence (AI). The main focus of this volume is to bring all the related technologies in a single platform, so that undergraduate and postgraduate students, researchers, academicians, and industry people can easily understand the AI algorithms, machine learning algorithms, and learning analytics in IoT-enabled technologies. This book uses data and network engineering and intelligent decision support system-by-design principles to design a reliable AI-enabled IoT ecosystem and to implement cyber-physical pervasive infrastructure solutions. This book brings together some of the top IoT-enabled AI experts throughout the world who contribute their knowledge regarding different IoT-based technology aspects. Addresses the complete functional framework workflow in AI-enabled IoT ecosystem; Presents intelligent object identification and object discovery through the IoT ecosystem and its implications to the real world ;Explores security and privacy issues and trustworthy machine learning related to data-intensive technologies in AI-based IoT ecosystems.
Artificial intelligence techniques for satellite image analysis
The main objective of this book is to provide a common platform for diverse concepts in satellite image processing. In particular it presents the state-of-the-art in Artificial Intelligence (AI) methodologies and shares findings that can be translated into real-time applications to benefit humankind. Interdisciplinary in its scope, the book will be of interest to both newcomers and experienced scientists working in the fields of satellite image processing, geo-engineering, remote sensing and Artificial Intelligence. It can be also used as a supplementary textbook for graduate students in various engineering branches related to image processing.
Artificial intelligence and data mining approaches in security frameworks
Offers solutions to the problems of security, outlining the concepts behind allowing computers to learn from experience and understand the world in terms of a hierarchy of concepts, with each concept defined through its relation to simpler concepts. provides state of the art approaches of artificial intelligence and data mining in these areas. It includes areas of detection, prediction, as well as future framework identification, development, building service systems and analytical aspects. In all these topics, applications of AI and data mining, such as artificial neural networks, fuzzy logic, genetic algorithm and hybrid mechanisms, are explained and explored. This book is aimed at the modeling and performance prediction of efficient security framework systems, bringing to light a new dimension in the theory and practice. This groundbreaking new volume presents these topics and trends, bridging the research gap on AI and data mining to enable wide-scale implementation. Whether for the veteran engineer or the student, this is a must-have for any library. This groundbreaking new volume: Clarifies the understanding of certain key mechanisms of technology helpful in the use of artificial intelligence and data mining in security frameworks ; Covers practical approaches to the problems engineers face in working in this field, focusing on the applications used every day ; Contains numerous examples, offering critical solutions to engineers and scientists ; Presents these new applications of AI and data mining that are of prime importance to human civilization as a whole
Arabic and Chinese Handwriting Recognition ; SACH 2006 Summit College Park, MD, USA, September 27-28, 2006 Selected Papers
Cheriet provides an overview of the problems of Arabic recognition and how systems can use natural language processing techniques to correct errors in lexicon-based systems.
Applied cryptography and network security ; 6th International Conference, ACNS 2008, New York, NY, USA, June 3-6, 2008. Proceedings
This book constitutes the refereed proceedings of the 6th International Conference on Applied Cryptography and Network Security, ACNS 2008, held in New York, NY, USA, in June 2008.
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.
AI-Enabled Threat Detection and Security Analysis for Industrial IoT
Provides the state-of-the-art development on security and privacy for cyber-physical systems (CPS) and industrial Internet of Things (IIoT). More specifically, this book discusses the security challenges in CPS and IIoT systems as well as how Artificial Intelligence (AI) and Machine Learning (ML) can be used to address these challenges. Furthermore, this book proposes various defence strategies, including intelligent cyber-attack and anomaly detection algorithms for different IIoT applications.
Adaptive Learning of Polynomial Networks : Genetic Programming, Backpropagation and Bayesian Methods
This book provides theoretical and practical knowledge for develop ment of algorithms that infer linear and nonlinear models. It offers a methodology for inductive learning of polynomial neural network mod els from data. The design of such tools contributes to better statistical data modelling when addressing tasks from various areas like system identification, chaotic time-series prediction, financial forecasting and data mining. The main claim is that the model identification process involves several equally important steps: finding the model structure, estimating the model weight parameters, and tuning these weights with respect to the adopted assumptions about the underlying data distrib ution. When the learning process is organized according to these steps, performed together one after the other or separately, one may expect to discover models that generalize well.
Complications in Endodontic Surgery : Prevention, Identification and Management
Presents up-to-date recommendations for the prevention, diagnosis, and management of complications in endodontic surgical procedures, based on the best available scientific evidence.
Burnt human remains : Recovery, analysis, and interpretation
Presents an in-depth multidisciplinary approach to the detection, recovery, analysis, and identification of thermally altered remains. Bridging the gap between research and practice, this invaluable one-stop reference provides detailed coverage of analytical techniques in forensic medicine and pathology, forensic anthropology, forensic odontology, and forensic chemistry and forensic biology.
Artificial intelligence and machine learning techniques for civil engineering
Offers state-of-the-art contributions in the area of AI and its applications in the field of civil engineering presenting methods and implementation of AI and machine learning in multiple facets of civil engineering
Artificial intelligence for business : A roadmap for getting started with AI
Artificial Intelligence for Business: A Roadmap for Getting Started with AI will provide the reader with an easy to understand roadmap for how to take an organization through the adoption of AI technology. It will first help with the identification of which business problems and opportunities are right for AI and how to prioritize them to maximize the likelihood of success. Specific methodologies are introduced to help with finding critical training data within an organization and how to fill data gaps if they exist.
Applied Research in Environmental Economics
Sustainable development, climate policy, and biodiversity conservation are examples of issues on the current political agenda in many countries. These themes are also subject to economic research, and economic insights are increasingly finding their way into the design of environmental policy. Still, the reception of academic findings by policy makers as well as the timely identification of policy-relevant questions by economic researchers often seem to be problematic. This volume attempts to vitalise the exchange between policy makers and academics. It offers a snapshot of environmental economic research on a range of policy-relevant problems.
Maintenance of brick and stone masonry structures
Deals with all the tasks related to brick and stone masonry structures, from the initial identification of defects and their diagnosis to their treatment and monitoring of its cost-effectiveness.
Marine Organic Matter : Biomarkers, Isotopes and DNA
The oceans contain a great biodiversity of marine organisms. They include a rich variety of unusual genes and biochemistries and hence a diverse array of organic compounds ranging from colourful carotenoids and chlorophylls to lipids with structures ranging from the simple to the complex. This volume brings together ten chapters on the occurrence and identification of the lipid biomarkers and of pigments in marine waters. It describes how they can be used in conjunction with stable isotopes and molecular biology to ascertain the sources and fate of organic matter (both natural and pollutant) in the sea and underlying sediments. The authors are each experts in their field and the chapters provide both an overview of the state-of-the-art and knowledge gaps together with abundant detail to satisfy the needs of specialists and non-specialists alike.
Marine Biotechnology II
This volume of Advances in Biochemical Engineering/Biotechnology illustrates several topics in line with the following broad objectives: thinking of marine biotechnology as the controlled production and use of marine organisms and molecules for useful purposes, firstly by exploring aspects of marine biodiversity and exploitation of biomass, then considering the identification, production and processing of marine products.
Marine Biotechnology I
Oceans, which occupy up to two thirds of the surface of our planet, were not really approached from scientific point of view until the second half of the 19th century and even the 20th with regard to microbial and unicellular life. Today, the importance of marine biodiversity has been fully recognized. It is, indeed, one of the aspects which, over the two past decades, have made a major contribution to our knowledge and vision of the living planetThis volume of Advances in Biochemical Engineering/Biotechnology illustrates several topics in line with the following broad objectives: thinking ofmarine biotechnology as the controlled production and use of marine organisms and molecules for useful purposes, firstly by exploring aspects of marine biodiversity and exploitation of biomass, then considering the identification, production and processing of marine products.
Management of Intentional and Accidental Water Pollution
The goals of the workshop included a discussion of the state of the science in identification of new research and approaches for water pollution events and communication of the management of water pollution and sustainability of water resources. Critical to management of accidental and intentional pollution events is the assessment of the risk, an understanding of the hazards and lessons learned from events which may lead to preventative management and control strategies. Public health protection will ultimately be improved by the ability to develop management frameworks which are flexible and adaptable to the specific region, country or watershed problems and concerns and allow for prioritization in the decision making. The integration of scientific information regarding the types of hazards the environmental fate of the chemical/biological, exposure pathways and human and ecosystem impacts may be implemented from both a qualitative or descriptive approach or using a more classical quantitative risk assessment paradigm. Thus the frameworks for assessing the risk and managing the risk may be seen as preventive, early warning and responsive.
