Anomalous Transport Applications Mathematical Perspectives And Big Data
DOWNLOAD
Download Anomalous Transport Applications Mathematical Perspectives And Big Data PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Anomalous Transport Applications Mathematical Perspectives And Big Data book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Anomalous Transport Applications Mathematical Perspectives And Big Data
DOWNLOAD
Author : Ralf Metzler
language : en
Publisher: Frontiers Media SA
Release Date : 2021-01-08
Anomalous Transport Applications Mathematical Perspectives And Big Data written by Ralf Metzler and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-08 with Science categories.
Mobility Patterns Big Data And Transport Analytics
DOWNLOAD
Author : Constantinos Antoniou
language : en
Publisher: Elsevier
Release Date : 2025-06-01
Mobility Patterns Big Data And Transport Analytics written by Constantinos Antoniou and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-01 with Business & Economics categories.
Mobility Patterns, Big Data and Transport Analytics: Tools and Applications for Modeling, Second Edition provides a guide to the new analytical framework and its relation to big data, focusing on capturing, predicting, visualizing, and controlling mobility patterns-a key aspect of transportation modeling. The book features prominent international experts who provide overviews on new analytical frameworks, applications, and concepts in mobility analysis and transportation systems. Fields covered are evolving rapidly, and this new edition updates existing material and provides new chapters that reflect recent developments in the field (such as the emergence of active, transfer and reinforcement learning). Users will find a detailed, mobility ‘structural’ analysis and a look at the extensive behavioral characteristics of transport, observability requirements, limitations for realistic transportation applications, and transportation systems analysis that are related to complex processes and phenomena. This book bridges the gap between big data, data science, and transportation systems analysis with a study of big data’s impact on mobility and an introduction to the tools necessary to apply new techniques.
The Human Element Of Big Data
DOWNLOAD
Author : Geetam S. Tomar
language : en
Publisher: CRC Press
Release Date : 2016-10-26
The Human Element Of Big Data written by Geetam S. Tomar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-26 with Business & Economics categories.
The proposed book talks about the participation of human in Big Data.How human as a component of system can help in making the decision process easier and vibrant.It studies the basic build structure for big data and also includes advanced research topics.In the field of Biological sciences, it comprises genomic and proteomic data also. The book swaps traditional data management techniques with more robust and vibrant methodologies that focus on current requirement and demand through human computer interfacing in order to cope up with present business demand. Overall, the book is divided in to five parts where each part contains 4-5 chapters on versatile domain with human side of Big Data.
Big Data And Smart Service Systems
DOWNLOAD
Author : Xiwei Liu
language : en
Publisher: Academic Press
Release Date : 2016-11-23
Big Data And Smart Service Systems written by Xiwei Liu and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-23 with Computers categories.
Big Data and Smart Service Systems presents the theories and applications regarding Big Data and smart service systems, data acquisition, smart cities, business decision-making support, and smart service design. The rapid development of computer and Internet technologies has led the world to the era of Big Data. Big Data technologies are widely used, which has brought unprecedented impacts on traditional industries and lifestyle. More and more governments, business sectors, and institutions begin to realize data is becoming the most valuable asset and its analysis is becoming the core competitiveness. - Describes the frontier of service science and motivates a discussion among readers on a multidisciplinary subject areas that explores the design of smart service - Illustrates the concepts, framework, and application of big data and smart service systems - Demonstrates the crucial role of smart service to promote the transformation of the regional and global economy
Data Science And Big Data Foundations Tools And Techniques
DOWNLOAD
Author :
language : en
Publisher: Addition Publishing House
Release Date : 2024-12-02
Data Science And Big Data Foundations Tools And Techniques written by and has been published by Addition Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-02 with Antiques & Collectibles categories.
The world is increasingly driven by data, and as businesses and individuals generate more information than ever before, the demand for professionals skilled in data science and big data technologies continues to rise. Introduction to Data Science and Big Data aims to provide readers with a comprehensive understanding of these cutting-edge fields and the tools needed to navigate and make sense of vast amounts of data. This book covers the foundational concepts of data science and big data, including data collection, cleaning, and analysis. It dives into key data science methodologies, such as machine learning, statistical analysis, and predictive modeling. The book also explores big data technologies like Hadoop, Spark, and cloud computing, emphasizing how they can handle and process large datasets efficiently. Designed for students, professionals, and enthusiasts, this book presents complex topics in a clear and approachable manner. Each chapter is equipped with practical examples and real-world case studies to illustrate how data science and big data techniques are applied in various industries. By the end of this book, readers will have a solid understanding of how to leverage data for decision-making and problem-solving. As we stand on the precipice of a data-driven world, understanding how to manipulate and derive insights from vast amounts of data is no longer optional. With this book, readers will gain the skills necessary to thrive in the fast-evolving field of data science and big data, equipping them for success in the 21st century.
Handbook Of Research On Data Driven Mathematical Modeling In Smart Cities
DOWNLOAD
Author : Pramanik, Sabyasachi
language : en
Publisher: IGI Global
Release Date : 2023-02-17
Handbook Of Research On Data Driven Mathematical Modeling In Smart Cities written by Pramanik, Sabyasachi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-17 with Mathematics categories.
A smart city utilizes ICT technologies to improve the working effectiveness, share various data with the citizens, and enhance political assistance and societal wellbeing. The fundamental needs of a smart and sustainable city are utilizing smart technology for enhancing municipal activities, expanding monetary development, and improving citizens’ standards of living. The Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities discusses new mathematical models in smart and sustainable cities using big data, visualization tools in mathematical modeling, machine learning-based mathematical modeling, and more. It further delves into privacy and ethics in data analysis. Covering topics such as deep learning, optimization-based data science, and smart city automation, this premier reference source is an excellent resource for mathematicians, statisticians, computer scientists, civil engineers, government officials, students and educators of higher education, librarians, researchers, and academicians.
Math Optimization For Artificial Intelligence
DOWNLOAD
Author : Umesh Kumar Lilhore
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2025-04-21
Math Optimization For Artificial Intelligence written by Umesh Kumar Lilhore and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-21 with Mathematics categories.
The book presents powerful optimization approaches for integrating AI into daily life. This book explores how heuristic and metaheuristic methodologies have revolutionized the fields of robotics and machine learning. The book covers the wide range of tools and methods that have emerged as part of the AI revolution, from state-of-the-art decision-making algorithms for robots to data-driven machine learning models. Each chapter offers a meticulous examination of the theoretical foundations and practical applications of mathematical optimization, helping readers understand how these methods are transforming the field of technology. This book is an invaluable resource for researchers, practitioners, and students. It makes AI optimization accessible and comprehensible, equipping the next generation of innovators with the knowledge and skills to further advance robotics and machine learning. While artificial intelligence constantly evolves, this book sheds light on the path ahead.
Data Analytics For Intelligent Transportation Systems
DOWNLOAD
Author : Mashrur Chowdhury
language : en
Publisher: Elsevier
Release Date : 2024-11-02
Data Analytics For Intelligent Transportation Systems written by Mashrur Chowdhury and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-02 with Computers categories.
Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems (ITS), including the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing, and distributing the data, designing data infrastructures, data management and delivery systems, and the required hardware and software technologies. It presents extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies. All fundamentals/concepts presented in this book are explained in the context of ITS. Users will learn everything from the basics of different ITS data types and characteristics to how to evaluate alternative data analytics for different ITS applications. They will discover how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications, along with key safety and environmental applications for both commercial and passenger vehicles, data privacy and security issues, and the role of social media data in traffic planning. Data Analytics for Intelligent Transportation Systems will prepare an educated ITS workforce and tool builders to make the vision for safe, reliable, and environmentally sustainable intelligent transportation systems a reality. It serves as a primary or supplemental textbook for upper-level undergraduate and graduate ITS courses and a valuable reference for ITS practitioners. - Utilizes real ITS examples to facilitate a quicker grasp of materials presented - Contains contributors from both leading academic and commercial domains - Explains how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications - Includes exercise problems in each chapter to help readers apply and master the learned fundamentals, concepts, and techniques - New to the second edition: Two new chapters on Quantum Computing in Data Analytics and Society and Environment in ITS Data Analytics
Applications Of Mathematics In Science And Technology
DOWNLOAD
Author : Bui Thanh Hung
language : en
Publisher: CRC Press
Release Date : 2025-04-29
Applications Of Mathematics In Science And Technology written by Bui Thanh Hung and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-29 with Mathematics categories.
The Conference dealt with one of the most important problems faced in International development in Pure Mathematics and Applied mathematics development in engineering such as Cryptography, Cyber Security, Network, Operations Research, Heat Equation and so forth. The aim of the conference was to provide a platform for researchers, engineers, academicians, as well as industrial professionals, to present their research results and development activities in Pure and Apply Mathematics, and its applied technology. It provided opportunities for the delegates to exchange new ideas and application experiences, to establish business or research relations and to find global partners for future collaboration.
Deep Learning For Earth Observation And Climate Monitoring
DOWNLOAD
Author : Uzair Aslam Bhatti
language : en
Publisher: Elsevier
Release Date : 2025-03-19
Deep Learning For Earth Observation And Climate Monitoring written by Uzair Aslam Bhatti and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-19 with Science categories.
Deep Learning for Earth Observation and Climate Monitoring bridges the gap between deep learning and the Earth sciences, offering cutting-edge techniques and applications that are transforming our understanding of the environment. With a focus on practical scenarios, this book introduces readers to the fundamental concepts of deep learning, from classification and image segmentation to anomaly detection and domain adaptability. The book includes practical discussion on regression, parameter retrieval, forecasting, and interpolation, among other topics. With a solid foundational theory, real-world examples, and example codes, it provides a full understanding of how intelligent systems can be applied to enhance Earth observation and especially climate monitoring.This book allows readers to apply learning representations, unsupervised deep learning, and physics-aware models to Earth observation data, enabling them to leverage the power of deep learning to fully utilize the wealth of environmental data from satellite technologies. - Introduces deep learning for classification, covering recent improvements in image segmentation and encoding priors, anomaly detection and target recognition, and domain adaptability - Includes both learning representations and unsupervised deep learning, covering deep learning picture fusion, regression, parameter retrieval, forecasting, and interpolation from a practical standpoint - Provides a number of physics-aware deep learning models, including the code and the parameterization of models on a companion website, as well as links to relevant data repositories, allowing readers to test techniques themselves