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Author: Joshua Alspector Publisher: Psychology Press ISBN: 1134786174 Category : Psychology Languages : en Pages : 324
Book Description
The world is witnessing the rapid evolution of its own nervous system by an unparalleled growth in communication technology. Like the evolution of the nervous systems in animals, this growth is being driven by a survival-of-the-fittest-mechanism. In telecommunications, the entities that fuel this growth are companies and nations who compete with each other. Companies with superior information systems can outrun and outsmart others because they serve their customers better. On the threshold of an explosion in the variety, speed and usefulness of telecommunication networks, neural network researchers can make important contributions to this emerging new telecommunications infrastructure. The first International Workshop on Applications of Neural Networks to Telecommunications (IWANNT) was planned in response to the telecommunications industry's needs for new adaptive technologies. This workshop featured 50 talks and posters that were selected by an organizing committee of experts in both telecommunications and neural networks. These proceedings will also be available on-line in an electronic format providing multimedia figures, cross-referencing, and annotation.
Author: Joshua Alspector Publisher: Psychology Press ISBN: 1134786174 Category : Psychology Languages : en Pages : 324
Book Description
The world is witnessing the rapid evolution of its own nervous system by an unparalleled growth in communication technology. Like the evolution of the nervous systems in animals, this growth is being driven by a survival-of-the-fittest-mechanism. In telecommunications, the entities that fuel this growth are companies and nations who compete with each other. Companies with superior information systems can outrun and outsmart others because they serve their customers better. On the threshold of an explosion in the variety, speed and usefulness of telecommunication networks, neural network researchers can make important contributions to this emerging new telecommunications infrastructure. The first International Workshop on Applications of Neural Networks to Telecommunications (IWANNT) was planned in response to the telecommunications industry's needs for new adaptive technologies. This workshop featured 50 talks and posters that were selected by an organizing committee of experts in both telecommunications and neural networks. These proceedings will also be available on-line in an electronic format providing multimedia figures, cross-referencing, and annotation.
Author: Joshua Alspector Publisher: Psychology Press ISBN: 9781138876576 Category : Computers Languages : en Pages :
Book Description
This second International Workshop on Applications of Neural Networks to Telecommunications (IWANNT), like the first, was motivated by needs in the rapidly changing telecommunications industry. The last workshop featured an electronic version of the proceedings which was accessible to interested people via the Internet. Since then, the enormous growth of the Internet and the availability of visual network browsers have made remote information access seem commonplace. Further evidence of the revolution in the industry is clear as it changes from a structure where telecommunications networks, equipment, and services are controlled by large vertically integrated companies to many specialized horizontally structured firms. Traditional monopoly telecommunications is evolving into a diverse and dynamic information infrastructure. There will be firms specializing as local access network providers, while others will provide long distance networks, and still others will provide network equipment and terminal or user equipment. Added to the above mix, which was typically the province of a large vertically integrated and regulated monopoly telephone company, will be companies not traditionally thought of as telecommunications providers -- entertainment companies, news sources, and other information sources. There will also be firms specializing in software to control the networks and enable information service applications such as movies-on-demand. Perhaps most significant, the convergence of computers and communications has blurred these industries till they are nearly indistinct. This workshop featured 50 papers that represent neural network approaches to a variety of needs. There is the need to adapt to changing channel conditions (adaptive non-linear equalization) and the growing importance of wireless access. The convergence of digital services in asynchronous transfer mode (ATM) packet networks requires new methods of access control and neural networks promise a unique approach. There are also papers on applications in switching and routing. There will be a new class of applications in information filtering, data compression, and speech and pattern recognition and understanding which will make use of neural network technology. The distributed nature of networks will stimulate research in network management and decision tools, fault prediction and error recovery, and new methods of managing large software systems. These proceedings show how neural network technology contributes a new tool to tackling the challenging problems of the information age.
Author: Joshua Alspector Publisher: Psychology Press ISBN: 1134786107 Category : Psychology Languages : en Pages : 321
Book Description
The world is witnessing the rapid evolution of its own nervous system by an unparalleled growth in communication technology. Like the evolution of the nervous systems in animals, this growth is being driven by a survival-of-the-fittest-mechanism. In telecommunications, the entities that fuel this growth are companies and nations who compete with each other. Companies with superior information systems can outrun and outsmart others because they serve their customers better. On the threshold of an explosion in the variety, speed and usefulness of telecommunication networks, neural network researchers can make important contributions to this emerging new telecommunications infrastructure. The first International Workshop on Applications of Neural Networks to Telecommunications (IWANNT) was planned in response to the telecommunications industry's needs for new adaptive technologies. This workshop featured 50 talks and posters that were selected by an organizing committee of experts in both telecommunications and neural networks. These proceedings will also be available on-line in an electronic format providing multimedia figures, cross-referencing, and annotation.
Author: Ronald Tetzlaff Publisher: World Scientific Publishing Company Incorporated ISBN: 9789812381217 Category : Computers Languages : en Pages : 700
Book Description
This volume covers the fundamental theory of Cellular Neural Networks as well as their applications in various fields such as science and technology. It contains all 83 papers of the 7th International Workshop on Cellular Neural Networks and their Applications. The workshop follows a biennial series of six workshops consecutively hosted in Budapest (1990), Munich, Rome, Seville, London and Catania (2000).
Author: Zielinski Publisher: Springer Science & Business Media ISBN: 0792374819 Category : Computers Languages : en Pages : 317
Book Description
Distributed applications are a necessity in most central application sectors of the contemporary information society, including e-commerce, e-banking, e-learning, e-health, telecommunication and transportation. This results from a tremendous growth of the role that the Internet plays in business, administration and our everyday activities. This trend is going to be even further expanded in the context of advances in broadband wireless communication. New Developments in Distributed Applications and Interoperable Systems focuses on the techniques available or under development with the goal to ease the burden of constructing reliable and maintainable interoperable information systems providing services in the global communicating environment. The topics covered in this book include: Context-aware applications; Integration and interoperability of distributed systems; Software architectures and services for open distributed systems; Management, security and quality of service issues in distributed systems; Software agents and mobility; Internet and other related problem areas. The book contains the proceedings of the Third International Working Conference on Distributed Applications and Interoperable Systems (DAIS'2001), which was held in September 2001 in Kraków, Poland, and sponsored by the International Federation on Information Processing (IFIP). The conference program presents the state of the art in research concerning distributed and interoperable systems. This is a topical research area where much activity is currently in progress. Interesting new aspects and innovative contributions are still arising regularly. The DAIS series of conferences is one of the main international forums where these important findings are reported.
Author: Paul Werbos Publisher: Routledge ISBN: 1317713427 Category : Psychology Languages : en Pages : 860
Book Description
Centered around 20 major topic areas of both theoretical and practical importance, the World Congress on Neural Networks provides its registrants -- from a diverse background encompassing industry, academia, and government -- with the latest research and applications in the neural network field.
Author: Giacomo Boracchi Publisher: Springer ISBN: 3319651722 Category : Computers Languages : en Pages : 737
Book Description
This book constitutes the refereed proceedings of the 18th International Conference on Engineering Applications of Neural Networks, EANN 2017, held in Athens, Greece, in August 2017. The 40 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 83 submissions. The papers cover the topics of deep learning, convolutional neural networks, image processing, pattern recognition, recommendation systems, machine learning, and applications of Artificial Neural Networks (ANN) applications in engineering, 5G telecommunication networks, and audio signal processing. The volume also includes papers presented at the 6th Mining Humanistic Data Workshop (MHDW 2017) and the 2nd Workshop on 5G-Putting Intelligence to the Network Edge (5G-PINE).
Author: Savo G. Glisic Publisher: John Wiley & Sons ISBN: 111979031X Category : Technology & Engineering Languages : en Pages : 884
Book Description
ARTIFICIAL INTELLIGENCE AND QUANTUM COMPUTING FOR ADVANCED WIRELESS NETWORKS A comprehensive presentation of the implementation of artificial intelligence and quantum computing technology in large-scale communication networks Increasingly dense and flexible wireless networks require the use of artificial intelligence (AI) for planning network deployment, optimization, and dynamic control. Machine learning algorithms are now often used to predict traffic and network state in order to reserve resources for smooth communication with high reliability and low latency. In Artificial Intelligence and Quantum Computing for Advanced Wireless Networks, the authors deliver a practical and timely review of AI-based learning algorithms, with several case studies in both Python and R. The book discusses the game-theory-based learning algorithms used in decision making, along with various specific applications in wireless networks, like channel, network state, and traffic prediction. Additional chapters include Fundamentals of ML, Artificial Neural Networks (NN), Explainable and Graph NN, Learning Equilibria and Games, AI Algorithms in Networks, Fundamentals of Quantum Communications, Quantum Channel, Information Theory and Error Correction, Quantum Optimization Theory, and Quantum Internet, to name a few. The authors offer readers an intuitive and accessible path from basic topics on machine learning through advanced concepts and techniques in quantum networks. Readers will benefit from: A thorough introduction to the fundamentals of machine learning algorithms, including linear and logistic regression, decision trees, random forests, bagging, boosting, and support vector machines An exploration of artificial neural networks, including multilayer neural networks, training and backpropagation, FIR architecture spatial-temporal representations, quantum ML, quantum information theory, fundamentals of quantum internet, and more Discussions of explainable neural networks and XAI Examinations of graph neural networks, including learning algorithms and linear and nonlinear GNNs in both classical and quantum computing technology Perfect for network engineers, researchers, and graduate and masters students in computer science and electrical engineering, Artificial Intelligence and Quantum Computing for Advanced Wireless Networks is also an indispensable resource for IT support staff, along with policymakers and regulators who work in technology.
Author: Qi Liu Publisher: Springer Nature ISBN: 9811665540 Category : Technology & Engineering Languages : en Pages : 1700
Book Description
This conference proceeding is a collection of the papers accepted by the CENet2021 – the 11th International Conference on Computer Engineering and Networks held on October 21-25, 2021 in Hechi, China. The topics focus but are not limited to Internet of Things and Smart Systems, Artificial Intelligence and Applications, Communication System Detection, Analysis and Application, and Medical Engineering and Information Systems. Each part can be used as an excellent reference by industry practitioners, university faculties, research fellows and undergraduates as well as graduate students who need to build a knowledge base of the most current advances and state-of-practice in the topics covered by this conference proceedings. This will enable them to produce, maintain, and manage systems with high levels of trustworthiness and complexity.
Author: Ellen Gasparovic Publisher: Springer ISBN: 3030115666 Category : Mathematics Languages : en Pages : 297
Book Description
This edited volume on data science features a variety of research ranging from theoretical to applied and computational topics. Aiming to establish the important connection between mathematics and data science, this book addresses cutting edge problems in predictive modeling, multi-scale representation and feature selection, statistical and topological learning, and related areas. Contributions study topics such as the hubness phenomenon in high-dimensional spaces, the use of a heuristic framework for testing the multi-manifold hypothesis for high-dimensional data, the investigation of interdisciplinary approaches to multi-dimensional obstructive sleep apnea patient data, and the inference of a dyadic measure and its simplicial geometry from binary feature data. Based on the first Women in Data Science and Mathematics (WiSDM) Research Collaboration Workshop that took place in 2017 at the Institute for Compuational and Experimental Research in Mathematics (ICERM) in Providence, Rhode Island, this volume features submissions from several of the working groups as well as contributions from the wider community. The volume is suitable for researchers in data science in industry and academia.
Author: Joshua Alspector
Author: Joshua Alspector
Author: Joshua Alspector
Author: Joshua Alspector
Author: Ronald Tetzlaff
Author: Zielinski
Author: Paul Werbos
Author: Giacomo Boracchi
Author: Savo G. Glisic
Author: Qi Liu
Author: Ellen Gasparovic