الصفحة 19
الصفحة 19
Alternatives to Animal Testing : Proceedings of Asian Congress 2016
This book presents recent advances in the pure sciences that are of significance in the quest for alternatives to the use of animals in research and describes a variety of practical applications of the three key guiding principles for the more ethical use of animals in experiments – replacement, reduction, and refinement, collectively known as the 3Rs. Important examples from across the world of implementation of the 3Rs in the testing of cosmetics, chemicals, pesticides, and biologics, including vaccines, are described, with additional information on relevant regulations. The coverage also encompasses emerging approaches to alternative tests and the 3Rs.
Alternative concrete - geopolymer concrete : Emerging research and opportunities
Focuses on fly ash-based alkali-activated geopolymer concrete, its production and characteristic properties. The re-use of waste materials and industrial by-products, such as fly ash, is not only economically of interest but also helps to reduce carbon dioxide emissions. The carbon footprint of these materials is much lower than that of concrete using ordinary Portland cement. They thus offer new sustainable solutions to the construction industry.
Altering nature ; Vol.2 : Religion, Biotechnology, and Public Policy
The two volumes of Altering Nature consider the complex ways that concepts of 'nature' and 'the natural' are understood and the relevance of those understandings to discussions of biotechnology.Volume Two, Religion, Biotechnology, and Public Policy, reviews recent religious and ethical analyses of four specific areas of biotechnology: assisted reproduction, genetic therapy and enhancement, human-machine incorporation, and biodiversity. It identifies and explores the richer normative themes that inform particular debates and suggests ways that policy choices in biotechnology may be illuminated by devoting greater attention to religious perspectives.
Alive : Advancements in Adaptive Architecture
Proposes to embrace the unknown and cultivate the architectural discipline towards an integrated and cross-disciplinary practice. It unravels compelling innovative and forward-thinking design narratives by leading international practitioners and researchers who investigate novel associations between architecture, nature and humanity for a future, alive architecture.
Algorithmic learning theory ; Vol.4264 : 17th International Conference, ALT 2006, Barcelona, Spain, October 7-10, 2006, Proceedings
This book constitutes the refereed proceedings of the 17th International Conference on Algorithmic Learning Theory, ALT 2006, held in Barcelona, Spain in October 2006, colocated with the 9th International Conference on Discovery Science, DS 2006.The 24 revised full papers presented together with the abstracts of five invited papers were carefully reviewed and selected from 53 submissions. The papers are dedicated to the theoretical foundations of machine learning.
Algorithmic learning theory ; 18th International conference, ALT 2007, Sendai, Japan, October 1-4, 2007, Proceedings
This volume contains the papers presented at the 18th International Conf- ence on Algorithmic Learning Theory.The main objective of the conference was to provide an interdisciplinary forum for high-quality talks with a strong theore- cal background and scientiبهc interchange in areas such as query models, on-line learning, inductive inference, algorithmic forecasting, boosting, support vector machines, kernel methods, complexity and learning, reinforcement learning, - supervised learning and grammatical inference.
Algorithmes dapproximation
Le champ des algorithmes d'approximation est aujourd'hui l'un des domaines de recherche les plus actifs en informatique. Il allie la profondeur de la théorie mathématique aux promesses d'applications pratiques d'un intérêt considérable. La plupart des problèmes issus d'applications relevant de domaines aussi différents que la conception de circuits VLSI, la conception et la planification de réseaux, l'ordonnancement, la théorie des jeux, la biologie ou la théorie des nombres, sont des problèmes NP-difficiles. Leur résolution exacte demanderait des ressources informatiques inaccessibles et ne peut donc être envisagée. Pour faire face à cette situation, un grand nombre d'algorithmes proposant des solutions approchées à ces problèmes ont été développés.
AI in disease detection : Advancements and applications
Discusses the integration of artificial intelligence to revolutionize disease detection approaches, with case studies of AI in disease detection as well as insight into the opportunities and challenges of AI in healthcare as a whole. The book explores a wide range of individual AI components such as computer vision, natural language processing, and machine learning as well as the development and implementation of AI systems for efficient practices in data collection, model training, and clinical validation.
AI in banking : Practical applications and case studies
Delves into the application of AI from theory to practice, offering detailed insights into AI project design and code implementation across eleven business scenarios in four major sectors: retail banking, e-banking, bank credit, and tech operations. it provides hands-on examples of various technologies, including automatic machine learning, integrated learning, graph computation, recommendation systems, causal inference, generative adversarial networks, supervised learning, unsupervised learning, computer vision, reinforcement learning, fuzzy control, automatic control, speech recognition, semantic understanding, bayesian networks, edge computing, and more. this book stands as a rare and practical guide to AI projects in the banking industry.
AI home decorator
Presents the development of “DesignMate”, an innovative AI home decorator application designed to revolutionize interior design. With three main features powered by artificial intelligence, DesignMate simplifies and enhances the process of home decoration. The first feature leverages an Autoregressive transformer model trained on the extensive 3Dfront dataset to suggest room decor based on room layouts. The second feature employs Generative Adversarial Networks (GANs) to enhance the colors of specific room layouts. The third feature introduces an expert system that tailors decor options to user-entered conditions. DesignMate also introduces an integrated e-commerce platform dedicated to furniture, offering users a wide selection of high-quality items that perfectly complement their preferred room designs.
AI based Robot Safe Learning and Control
This book mainly focuses on the safe control of robot manipulators. The control schemes are mainly developed based on dynamic neural network, which is an important theoretical branch of deep reinforcement learning.
AI 2020 : Advances in artificial intelligence ; 33rd Australasian Joint Conference, AI 2020, Canberra, ACT, Australia, November 29–30, 2020, Proceedings
Constitutes the proceedings of the 33rd Australasian Joint Conference on Artificial Intelligence, AI 2020, held in Canberra, ACT, Australia, in November 2020.* The 36 full papers presented in this volume were carefully reviewed and selected from 57 submissions. The paper were organized in topical sections named: applications; evolutionary computation; fairness and ethics; games and swarms; and machine learning.
Agent Intelligence Through Data Mining
AGENT INTELLIGENCE THROUGH DATA MINING offers a self-contained overview of a relatively young but important area of research: the intersection of agent technology and data mining. This intersection leads to considerable advancements in the area of information technologies, drawing the increasing attention of both research and industrial communities. It can take two forms: a) the more mundane use of intelligent agents for improved data mining and; b) the use of data mining for smarter, more efficient agents. The second approach is the main focus of this volume. this book presents a methodology for developing multi-agent systems, describes available open-source tools to support this process, and demonstrates the application of the methodology on three different cases. AGENT INTELLIGENCE THROUGH DATA MINING is designed for a professional audience composed of researchers and practitioners in industry.
Aesthetic Surgery of the Abdominal Wall
We have come a long way since the days when abdominal wall contouring was p- formed by simple dermolipectomies, with no attention to diastasis correction and muscular reinforcement, and little regard for the final aesthetic result. Nowadays, an abdominoplasty may be indicated for even the most demanding of patients. Details such as placement of the incision and umbilicoplasty are meticulously planned so as to conceal undesirable scars. Since the advent of suction-assisted lipectomy, in as- ciation with a classical operation or as an isolated procedure, the plastic surgeon has become capable of remodeling the entire trunk, assuring removal of considerable amounts of adipose tissue.
Advancing Human Assessment : The Methodological, Psychological and Policy Contributions of ETS
Describes the extensive contributions made toward the advancement of human assessment by scientists from one of the world’s leading research institutions, Educational Testing Service. The book’s four major sections detail research and development in measurement and statistics, education policy analysis and evaluation, scientific psychology, and validity. Many of the developments presented have become de-facto standards in educational and psychological measurement, including in item response theory (IRT), linking and equating, differential item functioning (DIF), and educational surveys like the National Assessment of Educational Progress (NAEP), the Programme of international Student Assessment (PISA), the Progress of International Reading Literacy Study (PIRLS) and the Trends in Mathematics and Science Study (TIMSS). In addition to its comprehensive coverage of contributions to the theory and methodology of educational and psychological measurement and statistics,
Advances in UAV detection, classification and tracking
Explores the latest techniques and advancements in unmanned aerial vehicle (UAV) detection, classification, and tracking. As UAV technology continues to evolve and become more accessible, there is a growing need for effective methods to detect, identify, and track these devices in various scenarios. This reprint provides a thorough overview of the state-of-the-art approaches for UAV detection, classification, and tracking, covering both theoretical and practical aspects.The reprint begins by introducing the basics of UAVs and their various applications, followed by a detailed overview of the challenges associated with UAV detection, classification, and tracking. The authors then present the latest techniques and algorithms used in the field, including machine-learning-based approaches, computer vision techniques, and sensor fusion techniques. The reprint also covers the challenges of real-world applications, such as dealing with occlusions, sensor noise, and environmental factors.
Advances in the toxicity of construction and building materials
Presents the potential and toxic effects of building materials on human health, along with tactics on how to minimize exposure. Chapters are divided into four sections covering the toxicity of indoor environments, fire toxicity, radioactive materials, and toxicity from plastics, metals, asbestos, nanoparticles and construction wastes. Key chapters focus on the reduction of chemical emissions in houses with eco-labelled building materials and potential risks posed by indoor pollutants that may include volatile organic compounds (VOC), formaldehyde, semi-volatile organic compounds (SVOC), radon, NOx, asbestos and nanoparticles.
Advances in Natural Computation ; Vol. 4222 ; 2nd International Conference, ICNC 2006, Xi'an, China, September 24-28, 2006, Proceedings, Part II
constitutethe proceedings of the 2nd International Conference on Natural Computation (ICNC 2006), jointly held with the 3rd International Conference on Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2006 featured the most up-to-date research results in com- tational algorithms inspired from nature, including biological, ecological, and physical systems. It is an exciting and emerging interdisciplinary area in which a wide rangeof techniques and methods arebeing studied for dealing with large, complex, and dynamic problems. The joint conferences also promoted cro- fertilization over these exciting and yet closely-related areas, which had a s- nifcant impact on the advancement of these important technologies. Specifc areas included neural computation, quantum computation, evolutionarycom- tation, DNA computation, fuzzy computation, granular computation, artifcial life, etc., with innovative applications to knowledge discovery, fnance, ope- tions research, and more. In addition to the large number of submitted papers, we were blessed with the presence of six renowned keynote speakers.
Advances in natural computation ; Vol. 4221 ; 2nd International Conference, ICNC 2006, Xi'an, China, September 24-28, 2006, Proceedings, Part I
ICNC-FSKD 2006 featured the most up-to-date research results in com- tational algorithms inspired from nature, including biological, ecological, and physical systems. It is an exciting and emerging interdisciplinary area in which a wide rangeof techniques and methods arebeing studied for dealing with large, complex, and dynamic problems. The joint conferences also promoted cro- fertilization over these exciting and yet closely-related areas, which had a s- nifcant impact on the advancement of these important technologies. Specifc areas included neural computation, quantum computation, evolutionarycom- tation, DNA computation, fuzzy computation, granular computation, artifcial life, etc., with innovative applications to knowledge discovery, fnance, ope- tions research, and more. In addition to the large number of submitted papers, we were blessed with the presence of six renowned keynote speakers.
Advances in natural computation ; Vol. 3610 ; 1st International conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part I
Featured the most up-to-date research results in computational algorithms inspired from nature, including biological, ecological, andphysical systems. It is an exciting and emerging interdisciplinary area in which a wide range of techniques and methods are being studied for dealing with large, complex, and dynamic problems. The joint conferences also promoted cross-fertilization over these exciting and yet closely-related areas, which had a sig-nificant impact on the advancement of these important technologies. Specificareas included neural computation, quantum computation, evolutionary com-putation, DNA computation, chemical computation, information processing incells and tissues, molecular computation, computation with words, fuzzy com-putation, granular computation, artificial life, swarm intelligence, ants colonies
