Nodes in Transport Networks – Research, Data Analysis and Modelling, El?bieta Macioszek; Nan Kang; Grzegorz Sierpi?ski
Автор: Jacques Janssen; Christos H. Skiadas; Constantin Z Название: Advances in Stochastic Modelling and Data Analysis ISBN: 9048145740 ISBN-13(EAN): 9789048145744 Издательство: Springer Рейтинг: Цена: 16764.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Audience: A wide readership drawn from theoretical and applied mathematicians, such as operations researchers, management scientists, statisticians, computer scientists, bankers, marketing managers, forecasters, and scientific societies such as EURO and TIMS.
Описание: ?This book discusses various issues of modeling freight and passenger traffic, and explores the common approaches and regional differences. The latter may be a consequence of national legislation or the various approaches that are adopted by scientists around the globe.It focuses on the organization of transcontinental transport and aspects of planning and harmonizing the movement of various transport means, particularly intermodal and multimodal transport. New approaches to the prediction of transportation needs are also considered.Written by international experts, the book is divided into 2 parts: the first part analyzes passenger transport, while the second addresses freight transport.It is intended wide audience, including university professors, graduate and Ph.D. students; transport professionals, and logistics specialist.
Design of a route-planner for urban public transport, promoting social inclusion.- Simulating a Three-Lane Roundabout Using SUMO.- Directional Grid-based Search for Simulation Metamodeling using Active Learning.- A Generic Predictive Model for On-Street Parking Availability.- Identifying relevant transfer-connections from entry-only Automatic Fare Collection data: the case study of Porto.- Optimising Supply Chain Logistics System Using Data.- Analyzing a fleet solution using scenarios.- Optimize Capacity for a Uniform Waste Transportation Collection.- Automatic generation of spider maps for providing public transports information.- Public Transportation Prediction with Convolutional Neural Networks.- Tourism Guidance Tracking and Safety Platform.- App Guidance for Parking Occupation Prediction.- Evaluation of SIMMARC: An Audiovisual System for the Detection of Near-miss Accidents.- Assessing the YOLO series through empirical analysis on the KITTI dataset for autonomous driving.- Evaluation of Broadcast Storm Mitigation Techniques on Vehicular Networks enabled by WAVE or NDN.- Non-destructive diagnostic methods as support assessment smart road infrastructure.- Towards Dynamic Monocular Visual Odometry Based on an Event Camera and IMU Sensor Tracking and Classification of Aerial Objects.- LiDAR SLAM Positioning Quality Evaluation in Urban Road Traffic.- DORA: An experimental platform for Smart Cities.
Автор: Zhang Tsinghua University Press Liyi Название: Blind Equalization in Neural Networks ISBN: 3110449625 ISBN-13(EAN): 9783110449624 Издательство: Walter de Gruyter Цена: 18586.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book begins with an introduction of blind equalization theory and its application in neural networks, then discusses the algorithms in recurrent networks, fuzzy networks and other frequently-studied neural networks. Each algorithm is accompanied by derivation, modeling and simulation, making the book an essential reference for electrical engineers, computer intelligence researchers and neural scientists.
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Автор: Janssens, Yasar & Knapen Название: Data Science And Simulation In Transportation Research ISBN: 1466649208 ISBN-13(EAN): 9781466649200 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 25502.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Given its effective techniques and theories from various sources and fields, data science is playing a vital role in transportation research and the consequences of the inevitable switch to electronic vehicles. This fundamental insight provides a step towards the solution of this important challenge.Data Science and Simulation in Transportation Research highlights entirely new and detailed spatial-temporal micro-simulation methodologies for human mobility and the emerging dynamics of our society. Bringing together novel ideas grounded in big data from various data mining and transportation science sources, this book is an essential tool for professionals, students, and researchers in the fields of transportation research and data mining.
As data holdings get bigger and questions get harder, data scientists and analysts must focus on the systems, the tools and techniques, and the disciplined process to get the correct answer, quickly Whether you work within industry or government, this book will provide you with a foundation to successfully and confidently process large amounts of quantitative data.
Here are just a dozen of the many questions answered within these pages:
What does quantitative analysis of a system really mean?
What is a system?
What are big data and analystics?
How do you know your numbers are good?
What will the future data science environment look like?
How do you determine data provenance?
How do you gather and process information, and then organize, store, and synthesize it?
How does an organization implement data analytics?
Do you really need to think like a Chief Information Officer?
What is the best way to protect data?
What makes a good dashboard?
What is the relationship between eating ice cream and getting attacked by a shark?
The nine chapters in this book are arranged in three parts that address systems concepts in general, tools and techniques, and future trend topics. Systems concepts include contrasting open and closed systems, performing data mining and big data analysis, and gauging data quality. Tools and techniques include analyzing both continuous and discrete data, applying probability basics, and practicing quantitative analysis such as descriptive and inferential statistics. Future trends include leveraging the Internet of Everything, modeling Artificial Intelligence, and establishing a Data Analytics Support Office (DASO).
Many examples are included that were generated using common software, such as Excel, Minitab, Tableau, SAS, and Crystal Ball. While words are good, examples can sometimes be a better teaching tool. For each example included, data files can be found on the companion website. Many of the data sets are tied to the global economy because they use data from shipping ports, air freight hubs, largest cities, and soccer teams. The appendices contain more detailed analysis including the 10 T's for Data Mining, Million Row Data Audit (MRDA) Processes, Analysis of Rainfall, and Simulation Models for Evaluating Traffic Flow.
Описание: The digital age is ripe with emerging advances and applications in technological innovations. Mimicking the structure of complex systems in nature can provide new ideas on how to organize mechanical and personal systems.The Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms is an essential scholarly resource on current algorithms that have been inspired by the natural world. Featuring coverage on diverse topics such as cellular automata, simulated annealing, genetic programming, and differential evolution, this reference publication is ideal for scientists, biological engineers, academics, students, and researchers that are interested in discovering what models from nature influence the current technology-centric world.
Автор: Rafael Magdalena-Benedito, Emilio Soria-Olivas, Juan Guerrero Martinez, Juan Gomez-Sanchis, Antonio Jose Serrano-Lopez Название: Medical Applications of Intelligent Data Analysis: Research Advancements ISBN: 1466618035 ISBN-13(EAN): 9781466618039 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 28413.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Medical Applications of Intelligent Data Analysis: Research Advancements explores the potential of utilizing this medical data through the implementation of developed models in practical applications. This premier reference source features chapters contributed by specialists in a variety of intelligent data analysis (IDA) fields related to medicine, health, and bioinformatics. All of these contributions are devoted to describing the practical medical applications of IDA and how the theory described in many other books can be implemented to improve medical care.
Автор: Nokel Klaus Название: Modelling Public Transport Passenger Flows in the Era of Int ISBN: 3319250809 ISBN-13(EAN): 9783319250809 Издательство: Springer Рейтинг: Цена: 28734.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book shows how transit assignment models can be used to describe and predict the patterns of network patronage in public transport systems.
Описание: This book constitutes the refereed proceedings of the Third International Conference on Reliability, Safety, and Security of Railway Systems, RSSRail 2019, held in Lille, France in June 2019. They cover a range of topics including railways system and infrastructure advance modelling;
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