Transfer Model Updating with Aggregate Data
Title | Transfer Model Updating with Aggregate Data PDF eBook |
Author | Frank S. Koppelman |
Publisher | |
Pages | 30 |
Release | 1985 |
Genre | Choice of transportation |
ISBN |
Optimization and Discrete Choice in Urban Systems
Title | Optimization and Discrete Choice in Urban Systems PDF eBook |
Author | Bruce G. Hutchinson |
Publisher | Springer Science & Business Media |
Pages | 381 |
Release | 2012-12-06 |
Genre | Business & Economics |
ISBN | 3642510205 |
'l'he papers contained in this volume were originally presented at the International symposium on New Directions in Urban Systems Modelling held at the University of Waterloo in July, 1983. The papers have been reviewed and rewritten since that time. The exception is the introductory paper written specially by Manfred Fischer and Peter Nijkamp as an introduction to this volume. The manuscript was prepared in the word processing unit in the nepartment of Civil Engineering, university of Waterloo. The sustained work of Mrs. I. Steffler in preparing this manuscript is gratefully acknowledged. "'r. R. K. Kumar provided excellent assistance with the editorial process. The svrnposium and the preparation of this manuscript were supporteö financially by the Natural Sciences and Engineering Research Council of Canada, The Academic Development Fund and the Department of Civil Engineering, TTniversity of waterloo. TABLE OF CONTENTS PREFACE •....••...•..•...•..........•..••.•....•.•••.••.••.•..•••••.•.••.. III Categorical Data and Choice Analysis in a Spatial Context Manfred Fischer and Peter Nijkamp .•••....•.......•.•.....•.......•.......
Modelling Transport
Title | Modelling Transport PDF eBook |
Author | Juan de Dios Ortúzar |
Publisher | John Wiley & Sons |
Pages | 724 |
Release | 2024-02-15 |
Genre | Technology & Engineering |
ISBN | 1119282810 |
MODELLING TRANSPORT Comprehensive Textbook Resource for Understanding Transport Modelling Modelling Transport provides unrivalled depth and breadth of coverage on the topic of transport modelling. Each topic is approached as a modelling exercise with discussion of the roles of theory, data, model specification, estimation, validation, and application. The authors present the state of the art and its practical application in a pedagogic manner, easily understandable to both students and practitioners. An accompanying website hosts a solutions manual. Sample topics and learning resources included in the work are as follows: State-of-the-art developments in the field of transport modelling, including new research and examples Factors to consider for better modelling and forecasting Information and analysis on dynamic assignment and micro-simulation and model design and specification Agent and Activity Based Modelling Modelling new modes and services Graduate students in transportation engineering and planning, transport economics, urban studies, and geography programs along with researchers and practitioners in the transportation and urban planning industry can use Modelling Transport as a comprehensive reference work for a wide array of topics pertaining to this field.
Modelling Transport
Title | Modelling Transport PDF eBook |
Author | Juan de Dios Ortúzar S. |
Publisher | |
Pages | 400 |
Release | 1990-12-21 |
Genre | Mathematics |
ISBN |
Offering an outstanding exploration of the state of the art, this practical, applications-oriented text/reference presents the most important transport modeling techniques in a form accessible to students and professionals alike. Bridging the gap between theoretical and ``recipe'' publications, it emphasizes a number of key topics in the field including the practical importance of theoretical consistency; the issues of data and specification errors in modeling, their relative importance, and methods for handling them; the key role played by the decision-making context in the choice of the most appropriate modeling tool; the advantages of variable resolution modeling; and the need for a monitoring function, relying on regular data collection and updates of forecasts and models so that courses of action can be adapted to a changing environment. Included are examples and exercises useful for actual laboratory fieldwork.
Model Optimization Methods for Efficient and Edge AI
Title | Model Optimization Methods for Efficient and Edge AI PDF eBook |
Author | Pethuru Raj Chelliah |
Publisher | John Wiley & Sons |
Pages | 436 |
Release | 2025-01-09 |
Genre | Computers |
ISBN | 1394219210 |
Comprehensive overview of the fledgling domain of federated learning (FL), explaining emerging FL methods, architectural approaches, enabling frameworks, and applications Model Optimization Methods for Efficient and Edge AI explores AI model engineering, evaluation, refinement, optimization, and deployment across multiple cloud environments (public, private, edge, and hybrid). It presents key applications of the AI paradigm, including computer vision (CV) and Natural Language Processing (NLP), explaining the nitty-gritty of federated learning (FL) and how the FL method is helping to fulfill AI model optimization needs. The book also describes tools that vendors have created, including FL frameworks and platforms such as PySyft, Tensor Flow Federated (TFF), FATE (Federated AI Technology Enabler), Tensor/IO, and more. The first part of the text covers popular AI and ML methods, platforms, and applications, describing leading AI frameworks and libraries in order to clearly articulate how these tools can help with visualizing and implementing highly flexible AI models quickly. The second part focuses on federated learning, discussing its basic concepts, applications, platforms, and its potential in edge systems (such as IoT). Other topics covered include: Building AI models that are destined to solve several problems, with a focus on widely articulated classification, regression, association, clustering, and other prediction problems Generating actionable insights through a variety of AI algorithms, platforms, parallel processing, and other enablers Compressing AI models so that computational, memory, storage, and network requirements can be substantially reduced Addressing crucial issues such as data confidentiality, data access rights, data protection, and access to heterogeneous data Overcoming cyberattacks on mission-critical software systems by leveraging federated learning
Simplified Transport Demand Modelling
Title | Simplified Transport Demand Modelling PDF eBook |
Author | Juan de Dios Ortúzar S. |
Publisher | |
Pages | 162 |
Release | 1992 |
Genre | Communication and traffic |
ISBN |
200 Tips for Mastering Generative AI
Title | 200 Tips for Mastering Generative AI PDF eBook |
Author | Rick Spair |
Publisher | Rick Spair |
Pages | 888 |
Release | |
Genre | Computers |
ISBN |
In the rapidly evolving landscape of artificial intelligence, Generative AI stands out as a transformative force with the potential to revolutionize industries and reshape our understanding of creativity and automation. From its inception, Generative AI has captured the imagination of researchers, developers, and entrepreneurs, offering unprecedented capabilities in generating new data, simulating complex systems, and solving intricate problems that were once considered beyond the reach of machines. This book, "200 Tips for Mastering Generative AI," is a comprehensive guide designed to empower you with the knowledge and practical insights needed to harness the full potential of Generative AI. Whether you are a seasoned AI practitioner, a curious researcher, a forward-thinking entrepreneur, or a passionate enthusiast, this book provides valuable tips and strategies to navigate the vast and intricate world of Generative AI. We invite you to explore, experiment, and innovate with the knowledge you gain from this book. Together, we can unlock the full potential of Generative AI and shape a future where intelligent machines and human creativity coexist and collaborate in unprecedented ways. Welcome to "200 Tips for Mastering Generative AI." Your journey into the fascinating world of Generative AI begins here.