الصفحة 3
الصفحة 3
International Symposium on Mathematics, Quantum Theory, and Cryptography ; Proceedings of MQC 2019
This book presents selected papers from International Symposium on Mathematics, Quantum Theory, and Cryptography (MQC), which was held on September 25-27, 2019 in Fukuoka, Japan.
Intelligent Virtual Agents ; Vol.4133 ; 6th International Conference, IVA 2006, Marina Del Rey, CA; USA, August 21-23, 2006, Proceedings
This volume contains the proceedings of the 6th International Conference on Intelligent Virtual Agents, IVA 2006, held in Marina del Rey, California, USA from August 21–23.For the second year in a row,IVA also hosted the Gathering of Animated Lifelike Agents (GALA 2006), an annual festival to showcase the latest animated lifelike agents created by university students and academic or industrial research groups. IVA 2006 received 73 submissions from Europe, the AmericasandAsia.Thepaperspublishedherearethe24fullpapersand11short papers presented at the conference, as well as one-page descriptions of posters and the featured invited talks by Brian Parkinson of Oxford University, Rod Humble of Electronic Arts, and Michael Mateas of the University of California, Santa Cruz and Andrew Stern of Procedural Arts.
Integrated Graphic and Computer Modelling
Full colour throughout, the book explores programming language developments from machine code to more natural language forms, and the basic display operations and commands needed to create effective computer graphic systems. As the visual presentation of real and virtual environments becomes more and more the norm in application systems, a clear understanding of the theory that underpins these techniques is required of all students and practitioners studying and working on large computer systems.
Instrumaster
Experiments with different neural network structures and algorithms in order to achieve musical note recognition as well as musical instrument recognition, all bundled in a mobile application. It also aims to create the most effective music-learning application that works completely offline, which is hard to find in modern music applications. The paper also explores why the instrument identifying AI is solely based on Multi-Layer Perceptron (MLP) and why the note-identifying AI system was chosen to be a ML system over CNN or other deep-learning trained AI. The paper presents feature extraction methods for audio signals and files and dives deep into the process, such as FFT, MFCCs, Wavelengths, sampling rates, etc. It also touches on Logistic Regression Algorithms, their limitations, and their performance with the different use cases in the application. All these techniques are then compared side by side for maximally added value, making this research paper a good reference for any future developers looking to find optimal neural networks techniques when it comes to audio processing and analysis.
Innovative Internet Computing Systems ; 2nd International Workshop, IICS 2002, Kühlungsborn, Germany, June 20-22, 2002, Proceedings
Constitutes the proceedings of the second international workshop on Innovative Internet Computing Systems, held in Germany in 2002. The 20 papers cover large-scale distributed computing infrastructures, management and retrieval of web-based information, content classification and more.
Innovative Internet Community Systems ; Vol. 3908 ; 5th International Workshop, IICS 2005, Paris, France, June 20-22, 2005. Revised Papers
Traditionally, there are topics discussed in three main aspects. All of them must be considered in a united manner in order to investigate and understand the emergence and evolution of communities in the Internet: knowledge about networking, content and text processing as well as theory. The goal of the I2CS workshop is to bring researchers from both industry and academic fields together to discuss current progress and future developments in these areas and to eliminate the gap between theory and application. At this point, we want to express immense gratitude to all the authors of the submitted papers and to the members of the international Program Committee for their contribution to the success of the event and a program of high quality. In a peer-to-peer review process, 17 papers were selected out of 27 submissions.
Innovative Internet Community Systems ; Vol. 3473 ; 4th International Workshop, IICS 2004, Guadalajara, Mexico, June 21-23, 2004. Revised Papers
This book constitutes the thoroughly refereed postproceedings of the 4th International Workshop on Innovative Internet Community Systems, IICS 2004, held in Guadalajara, Mexico, in June 2004. The 25 revised full papers presented together with 2 invited papers have been carefully reviewed. They focus mainly on system-oriented problems, text processing, and theoretical foundations of distributed and Internet systems. They also deal with speed and quality-of-service problems of Internet protocols, aspects of cooperation and collaboration in Internet systems, as well as agent and text-processing-based methods. In addition, 9 papers stem from two mini-workshops, one on computational epidemiology and the other on optimization of urban traffic systems.
Information technology and educational management in the knowledge society ; IFIP TC3 WG3.7, 6th International working conference on information technology in educational management (ITEM) July 11-15, 2004, Las Palmas de Gran Canaria, Spain
International Federation for Information Processing The IFIP series publishes state-of-the-art results in the sciences and technologies of information and communication. The scope of the series includes: foundations of computer science; software theory and practice; education; computer applications in technology; communication systems; systems modeling and optimization; information systems; computers and society; computer systems technology; security and protection in information processing systems; artificial intelligence; and human-computer interaction. Proceedings and post-proceedings of referred international conferences in computer science and interdisciplinary fields are featured. These results often precede journal publication and represent the most current research. The principal aim of the IFIP series is to encourage education and the dissemination and exchange of information about all aspects of computing.
Information Security ; 10th International Conference, ISC 2007, Valparaiso, Chile, October 9-12, 2007, Proceedings
The 10th Information Security Conference (ISC 2007) was held in Valpara´ ?so, Chile, October 9–12, 2007. ISC is an annual international conference covering research in theory and applications of information security, aiming to attract high quality papers in all of its technical aspects.
Information Access through Search Engines and Digital Libraries
he Information Management Systems group at the University of Padua, led by Maristella Agosti, has been a major contributor to information retrieval (IR) and digital libraries for nearly twenty years. This group has gained an excellent reputation in the IR community and has produced some of the best-known IR researchers, whose work spans a broad range of topics.The papers in this book deal with e.g. automated text categorizations, web link analysis algorithms, retrieval in multimedia digital libraries, and multilingual information retrieval. The presentation of original research results built on the past work of the group which at the same time summarizes past .
Increasing the security and reliability of e-health system using blockchain technology
The Blockchain technology is the buzzword of the year, and as this new technology slowly matured, it seems clear that from banking to supply chain logistics, it is ready for disruption. And in healthcare in particular, there is a massive opportunity for blockchain revolution to disrupt and lead the digital transformation. From medical records to pharmaceutical supply chains, to smart contracts for payment distribution, there are a plenty of methods to leverage this technology. Thus it has reached a great boom in the health sector, due to its importance to overcome interoperability and security challenges of health records systems in e-health.
Hyperparameter tuning for machine and deep learning with R : A practical guide
Equips readers with the ability to achieve better results with significantly less time, costs, effort and resources using the methods described here. The case studies presented in this book can be run on a regular desktop or notebook computer. The content focuses on the hyperparameter tuning of ML and DL algorithms, and is divided into two main parts: theory (Part I) and application (Part II). Essential topics covered include: a survey of important model parameters; four parameter tuning studies and one extensive global parameter tuning study; statistical analysis of the performance of ML and DL methods based on severity; and a new, consensus-ranking-based way to aggregate and analyze results from multiple algorithms.
Hydra = هايدرا
Forgery involves the use of advanced algorithms to replicate and distribute deceptive products across various categories, casting shadows of doubt on the authenticity of goods. Although counterfeit detection can be useful in identifying and mitigating fraudulent activities, the widespread presence of counterfeit goods poses significant dangers, undermining consumer confidence and brand reputation. To underscore the severity of this issue, consider instances such as fake luxury items flooding the market, counterfeit electronics compromising safety, or bogus pharmaceuticals endangering health. Addressing this issue is critical in maintaining the integrity of brands, safeguarding consumer well-being, and preserving trust in the marketplace. The ability to distinguish between authentic and counterfeit products is paramount in ensuring accurate decision-making and preventing the harmful consequences of fraudulent goods. This technological context underscores the urgency of developing and deploying cutting-edge solutions to combat the evolving landscape of product forgery. Hydra emerges as a robust solution, utilizing a comprehensive approach that includes extracting posts and images from search engine tools, and is integrated with AI models to detect forgery. The Hydra platform not only provides users with a powerful tool for detecting counterfeit products but also offers tangible benefits such as enhanced brand security, increased awareness about the prevalence of forgeries, and the opportunity to actively participate in a real-time community.
Hybrid metaheuristics ; 4th International Workshop,HM 2007, Dortmund, Germany, October 8-9, 2007, Proceedings
This book constitutes the refereed proceedings of the 4th International Workshop on Hybrid Metaheuristics, HM 2007, held in Dortmund, Germany. The 14 revised full papers discuss specific aspects of hybridization of metaheuristics, hybrid metaheuristics design, development and testing.
Human–computer interaction ; International Workshop, HCI 2007 Rio de Janeiro, Brazil, October 20, 2007 Proceedings
Constitutes the refereed proceedings of the International Workshop on Human Computer Interaction, HCI 2007, held in Rio de Janeiro, Brazil, October 20, 2007. This book covers such topics as: Affective detection and recognition, Smart interfaces, Human motion tracking, Gesture recognition, and Multimedia data modeling and visualization.
Holonic and multi-agent systems for manufacturing ; 3rd International Conference on industrial applications of holonic and multi-agent systems, HoloMAS 2007, Regensburg, Germany, September 3-5, 2007, Proceedings
The research of holonic and agent-based systems is developing rapidly, as is the community around this R&D topic. Despite the fact that real-life practical implementations of such systems remain surprisingly rare, the leaders in different branches of industry feel that the holonic and agent-based systems represent the only way to manage and control very complex, highly distributed systems in the future.
Holonic and multi-agent systems for manufacturing ; 2nd International conference on industrial applications of holonic and multi-agent systems, HoloMAS 2005, Copenhagen, Denmark, August 22-24, 2005, Proceedings
The challenge faced in today’s manufacturing and business environments is the question of how to satisfy increasingly stringent customer requirements while managing growing system complexity. For example, customers expect high-quality, customizable, low-cost products that can be delivered quickly. The systems that deliver these expectations are by nature distributed, concurrent, and stochastic, and, as a result, increasingly difficult to manage. Unfortunately, the traditional hierarchical, strictly centralized approach to control used in these domains is characteristically inflexible, fragile, and difficult to maintain. These shortcomings have led to the development of a new class of manufacturing and supply-chain decision-making approaches in recent years. Solutions based on these approaches usually explore a set of highly distributed decision-making units that are capable of autonomous operations while cooperating interactively to resolve larger problems. The units, referred to as agents in classical computer science and software engineering, or holons if physically integrated with the manufacturing hardware, interact by exchanging information. These units are motivated by arriving at local solutions as well as collaborating and sharing resources and goals in solving the overall problem in question collectively.
Healthcare solutions using machine learning and informatics
Covers novel and innovative solutions for the healthcare that apply machine learning and biomedical informatics technology. The healthcare sector is one of the most critical in society. This book presents a series of artificial intelligence, machine learning, intelligent IoT-based solutions for medical image analysis, medical big data processing, disease predictions. Machine learning and artificial intelligence use cases in healthcare presented in the book give researchers, practitioners, and students a wide range of practical examples of cross-domain convergence. The wide variety of topics covered include: Artificial Intelligence in healthcare Machine learning solutions for such disease as diabetes, arthritis, cardiovascular disease, and COVID-19 Big data analytics solutions for healthcare data processing Reliable biomedical applications using AI models Intelligent IoT in healthcare. The book explains fundamental concepts as well as the advanced use cases illustrating how to apply emerging technologies such as machine learning, AI models, data informatics into practice to tackle challenges in the field of healthcare with real-world scenarios. Chapters contributed by noted academicians and professionals examine various solutions, frameworks, applications, case studies, and best practices in the healthcare domain
Hands-on question answering systems with BERT : Applications in neural networks and natural language processing
Begins with an overview of the technology landscape behind BERT. It takes you through the basics of NLP, including natural language understanding with tokenization, stemming, and lemmatization, and bag of words. Next, you’ll look at neural networks for NLP starting with its variants such as recurrent neural networks, encoders and decoders, bi-directional encoders and decoders, and transformer models. Along the way, you’ll cover word embedding and their types along with the basics of BERT. After this solid foundation, you’ll be ready to take a deep dive into BERT algorithms such as masked language models and next sentence prediction. You’ll see different BERT variations followed by a hands-on example of a question answering system. You will: Examine the fundamentals of word embeddings / Apply neural networks and BERT for various NLP tasks / Develop a question-answering system from scratch / Train question-answering systems for your own data
Handbook on Craniofacial Superimposition : The MEPROCS Project
This book is the first comprehensive guide to a new soft computing technique which is used in complex forensic cases. The chapters include detailed technical and practical overviews, and discussions about the latest tools, open problems and ethical and legal issues involved. The book will be of interest to researchers and practitioners in forensic medicine and computational intelligence.
