Proceedings of the Second Annual Conference on Shi'i Studies

Proceedings of the Second Annual Conference on Shi'i Studies
Author: Hossein Nazari
Publisher: ICAS Press
Total Pages: 306
Release: 2018-01-01
Genre: Social Science
ISBN: 1907905413

The Annual International Conference on Shi‘i Studies is organised by the Research and Publications Department of The Islamic College, London. The conference aims to provide a broad platform for scholars working in the field of Shi‘i Studies to present their latest research and to explore diverse opinions on Shi‘i thought, practice, and heritage. This book comprises a selection of papers from the second conference held on 7–8 May 2016.

Advanced Artificial Intelligence

Advanced Artificial Intelligence
Author: Zhongzhi Shi
Publisher: World Scientific
Total Pages: 631
Release: 2011-03-04
Genre: Computers
ISBN: 9814466123

Artificial intelligence is a branch of computer science and a discipline in the study of machine intelligence, that is, developing intelligent machines or intelligent systems imitating, extending and augmenting human intelligence through artificial means and techniques to realize intelligent behavior.Advanced Artificial Intelligence consists of 16 chapters. The content of the book is novel, reflects the research updates in this field, and especially summarizes the author's scientific efforts over many years. The book discusses the methods and key technology from theory, algorithm, system and applications related to artificial intelligence. This book can be regarded as a textbook for senior students or graduate students in the information field and related tertiary specialities. It is also suitable as a reference book for relevant scientific and technical personnel.

Case Studies in Secure Computing

Case Studies in Secure Computing
Author: Biju Issac
Publisher: CRC Press
Total Pages: 504
Release: 2014-08-29
Genre: Computers
ISBN: 1482207060

In today’s age of wireless and mobile computing, network and computer security is paramount. Case Studies in Secure Computing: Achievements and Trends gathers the latest research from researchers who share their insights and best practices through illustrative case studies. This book examines the growing security attacks and countermeasures in the stand-alone and networking worlds, along with other pertinent security issues. The many case studies capture a truly wide range of secure computing applications. Surveying the common elements in computer security attacks and defenses, the book: Describes the use of feature selection and fuzzy logic in a decision tree model for intrusion detection Introduces a set of common fuzzy-logic-based security risk estimation techniques with examples Proposes a secure authenticated multiple-key establishment protocol for wireless sensor networks Investigates various malicious activities associated with cloud computing and proposes some countermeasures Examines current and emerging security threats in long-term evolution backhaul and core networks Supplies a brief introduction to application-layer denial-of-service (DoS) attacks Illustrating the security challenges currently facing practitioners, this book presents powerful security solutions proposed by leading researchers in the field. The examination of the various case studies will help to develop the practical understanding required to stay one step ahead of the security threats on the horizon. This book will help those new to the field understand how to mitigate security threats. It will also help established practitioners fine-tune their approach to establishing robust and resilient security for next-generation computing systems.

ECAI 2020

ECAI 2020
Author: G. De Giacomo
Publisher: IOS Press
Total Pages: 3122
Release: 2020-09-11
Genre: Computers
ISBN: 164368101X

This book presents the proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), held in Santiago de Compostela, Spain, from 29 August to 8 September 2020. The conference was postponed from June, and much of it conducted online due to the COVID-19 restrictions. The conference is one of the principal occasions for researchers and practitioners of AI to meet and discuss the latest trends and challenges in all fields of AI and to demonstrate innovative applications and uses of advanced AI technology. The book also includes the proceedings of the 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020) held at the same time. A record number of more than 1,700 submissions was received for ECAI 2020, of which 1,443 were reviewed. Of these, 361 full-papers and 36 highlight papers were accepted (an acceptance rate of 25% for full-papers and 45% for highlight papers). The book is divided into three sections: ECAI full papers; ECAI highlight papers; and PAIS papers. The topics of these papers cover all aspects of AI, including Agent-based and Multi-agent Systems; Computational Intelligence; Constraints and Satisfiability; Games and Virtual Environments; Heuristic Search; Human Aspects in AI; Information Retrieval and Filtering; Knowledge Representation and Reasoning; Machine Learning; Multidisciplinary Topics and Applications; Natural Language Processing; Planning and Scheduling; Robotics; Safe, Explainable, and Trustworthy AI; Semantic Technologies; Uncertainty in AI; and Vision. The book will be of interest to all those whose work involves the use of AI technology.

Research and Development in Intelligent Systems XXVI

Research and Development in Intelligent Systems XXVI
Author: Richard Ellis
Publisher: Springer Science & Business Media
Total Pages: 504
Release: 2009-10-28
Genre: Computers
ISBN: 1848829833

The most common document formalisation for text classi?cation is the vector space model founded on the bag of words/phrases representation. The main advantage of the vector space model is that it can readily be employed by classi?cation - gorithms. However, the bag of words/phrases representation is suited to capturing only word/phrase frequency; structural and semantic information is ignored. It has been established that structural information plays an important role in classi?cation accuracy [14]. An alternative to the bag of words/phrases representation is a graph based rep- sentation, which intuitively possesses much more expressive power. However, this representation introduces an additional level of complexity in that the calculation of the similarity between two graphs is signi?cantly more computationally expensive than between two vectors (see for example [16]). Some work (see for example [12]) has been done on hybrid representations to capture both structural elements (- ing the graph model) and signi?cant features using the vector model. However the computational resources required to process this hybrid model are still extensive.

Current Catalog

Current Catalog
Author: National Library of Medicine (U.S.)
Publisher:
Total Pages: 1628
Release: 1993
Genre: Medicine
ISBN:

First multi-year cumulation covers six years: 1965-70.

Recent Algorithms and Applications in Swarm Intelligence Research

Recent Algorithms and Applications in Swarm Intelligence Research
Author: Shi, Yuhui
Publisher: IGI Global
Total Pages: 340
Release: 2012-11-30
Genre: Computers
ISBN: 1466624809

Advancements in the nature-inspired swarm intelligence algorithms continue to be useful in solving complicated problems in nonlinear, non-differentiable, and un-continuous functions as well as being applied to solve real-world applications. Recent Algorithms and Applications in Swarm Intelligence Research highlights the current research on swarm intelligence algorithms and its applications. Including research and survey and application papers, this book serves as a platform for students and scholars interested in achieving their studies on swarm intelligence algorithms and their applications.

Metaheuristics for Machine Learning

Metaheuristics for Machine Learning
Author: Mansour Eddaly
Publisher: Springer Nature
Total Pages: 231
Release: 2023-03-13
Genre: Computers
ISBN: 9811938881

Using metaheuristics to enhance machine learning techniques has become trendy and has achieved major successes in both supervised (classification and regression) and unsupervised (clustering and rule mining) problems. Furthermore, automatically generating programs via metaheuristics, as a form of evolutionary computation and swarm intelligence, has now gained widespread popularity. This book investigates different ways of integrating metaheuristics into machine learning techniques, from both theoretical and practical standpoints. It explores how metaheuristics can be adapted in order to enhance machine learning tools and presents an overview of the main metaheuristic programming methods. Moreover, real-world applications are provided for illustration, e.g., in clustering, big data, machine health monitoring, underwater sonar targets, and banking.