Logic Driven Traffic Big Data Analytics
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Logic Driven Traffic Big Data Analytics
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Author : Shaopeng Zhong
language : en
Publisher: Springer Nature
Release Date : 2022-02-01
Logic Driven Traffic Big Data Analytics written by Shaopeng Zhong and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-01 with Business & Economics categories.
This book starts from the relationship between urban built environment and travel behavior and focuses on analyzing the origin of traffic phenomena behind the data through multi-source traffic big data, which makes the book unique and different from the previous data-driven traffic big data analysis literature. This book focuses on understanding, estimating, predicting, and optimizing mobility patterns. Readers can find multi-source traffic big data processing methods, related statistical analysis models, and practical case applications from this book. This book bridges the gap between traffic big data, statistical analysis models, and mobility pattern analysis with a systematic investigation of traffic big data’s impact on mobility patterns and urban planning.
Handbook Of Mobility Data Mining Volume 1
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Author : Haoran Zhang
language : en
Publisher: Elsevier
Release Date : 2023-01-29
Handbook Of Mobility Data Mining Volume 1 written by Haoran Zhang and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-29 with Business & Economics categories.
Handbook of Mobility Data Mining, Volume One: Data Preprocessing and Visualization introduces the fundamental technologies of mobile big data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach. The book explains how to preprocess mobile big data, visualize urban mobility, simulate and predict human travel behavior, and assess urban mobility characteristics and their matching performance as conditions and constraints in transport, emergency management, and sustainability development systems. The book contains crucial information for researchers, engineers, operators, administrators, and policymakers seeking greater understanding of current technologies' infra-knowledge structure and limitations. Further, the book introduces how to design MDM platforms that adapt to the evolving mobility environment, new types of transportation, and users based on an integrated solution that utilizes sensing and communication capabilities to tackle significant challenges faced by the MDM field. This volume focuses on how to efficiently pre-process mobile big data to extract and utilize critical feature information of high-dimensional city people flow. The book first provides a conceptual theory and framework, then discusses data sources, trajectory map-matching, noise filtering, trajectory data segmentation, data quality assessment, and more, concluding with a chapter on privacy protection in mobile big data mining. - Introduces the characteristics of different mobility data sources, like GPS, CDR, and sensor-based mobility data - Summarizes existing visualization technologies of the current transportation system into a multi-view frame, covering the perspective of the three leading actors - Provides recommendations for practical open-source tools and libraries for system visualization - Stems from the editor's strong network of global transport authorities and transport companies, providing a solid knowledge structure and data foundation as well as geographical and stakeholder coverage
Scalable Big Data Analytics For Protein Bioinformatics
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Author : Dariusz Mrozek
language : en
Publisher: Springer
Release Date : 2018-09-25
Scalable Big Data Analytics For Protein Bioinformatics written by Dariusz Mrozek and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-25 with Computers categories.
This book presents a focus on proteins and their structures. The text describes various scalable solutions for protein structure similarity searching, carried out at main representation levels and for prediction of 3D structures of proteins. Emphasis is placed on techniques that can be used to accelerate similarity searches and protein structure modeling processes. The content of the book is divided into four parts. The first part provides background information on proteins and their representation levels, including a formal model of a 3D protein structure used in computational processes, and a brief overview of the technologies used in the solutions presented in the book. The second part of the book discusses Cloud services that are utilized in the development of scalable and reliable cloud applications for 3D protein structure similarity searching and protein structure prediction. The third part of the book shows the utilization of scalable Big Data computational frameworks, like Hadoop and Spark, in massive 3D protein structure alignments and identification of intrinsically disordered regions in protein structures. The fourth part of the book focuses on finding 3D protein structure similarities, accelerated with the use of GPUs and the use of multithreading and relational databases for efficient approximate searching on protein secondary structures. The book introduces advanced techniques and computational architectures that benefit from recent achievements in the field of computing and parallelism. Recent developments in computer science have allowed algorithms previously considered too time-consuming to now be efficiently used for applications in bioinformatics and the life sciences. Given its depth of coverage, the book will be of interest to researchers and software developers working in the fields of structural bioinformatics and biomedical databases.
Artificial Intelligence Logic And Applications
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Author : Songmao Zhang
language : en
Publisher: Springer Nature
Release Date : 2025-01-30
Artificial Intelligence Logic And Applications written by Songmao Zhang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-30 with Computers categories.
This book constitutes the proceedings of the 4th International Conference on Artificial Intelligence Logic and Applications, AILA 2024, held in Lanzhou, China, during August 10–11, 2024. The 16 full papers and the 11 short papers included in this volume were carefully reviewed and selected from 45 submissions. The papers cover the following topics: AI logic foundation; AI logic reasoning; AI logic applications.
Convergence Of Big Data Technologies And Computational Intelligent Techniques
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Author : Gupta, Govind P.
language : en
Publisher: IGI Global
Release Date : 2022-09-16
Convergence Of Big Data Technologies And Computational Intelligent Techniques written by Gupta, Govind P. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-16 with Computers categories.
Advanced computational intelligence techniques have been designed and developed in recent years to cope with various big data challenges and provide fast and efficient analytics that assist in making critical decisions. With the rapid evolution and development of internet-based services and applications, this technology is receiving attention from researchers, industries, and academic communities and requires additional study. Convergence of Big Data Technologies and Computational Intelligent Techniques considers recent advancements in big data and computational intelligence across fields and disciplines and discusses the various opportunities and challenges of adoption. Covering topics such as deep learning, data mining, smart environments, and high-performance computing, this reference work is crucial for computer scientists, engineers, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.
Artificial Intelligence And Big Data Analytics For Smart Healthcare
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Author : Miltiadis Lytras
language : en
Publisher: Academic Press
Release Date : 2021-10-22
Artificial Intelligence And Big Data Analytics For Smart Healthcare written by Miltiadis Lytras and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-22 with Medical categories.
Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved in healthcare as they strive to enhance the value added of healthcare and develop more sustainable healthcare systems. It brings together insights from emerging sophisticated information and communication technologies such as big data analytics, artificial intelligence, machine learning, data science, medical intelligence, and, by dwelling on their current and prospective applications, highlights managerial and policymaking challenges they may generate. The book is split into five sections: big data infrastructure, framework and design for smart healthcare; signal processing techniques for smart healthcare applications; business analytics (descriptive, diagnostic, predictive and prescriptive) for smart healthcare; emerging tools and techniques for smart healthcare; and challenges (security, privacy, and policy) in big data for smart healthcare. The content is carefully developed to be understandable to different members of healthcare chain to leverage collaborations with researchers and industry. - Presents a holistic discussion on the new landscape of data driven medical technologies including Big Data, Analytics, Artificial Intelligence, Machine Learning, and Precision Medicine - Discusses such technologies with case study driven approach with reference to real world application and systems, to make easier the understanding to the reader not familiar with them - Encompasses an international collaboration perspective, providing understandable knowledge to professionals involved with healthcare to leverage productive partnerships with technology developers
Design Exploration Of Emerging Nano Scale Non Volatile Memory
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Author : Hao Yu
language : en
Publisher: Springer Science & Business
Release Date : 2014-04-18
Design Exploration Of Emerging Nano Scale Non Volatile Memory written by Hao Yu and has been published by Springer Science & Business this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-18 with Technology & Engineering categories.
This book presents the latest techniques for characterization, modeling and design for nano-scale non-volatile memory (NVM) devices. Coverage focuses on fundamental NVM device fabrication and characterization, internal state identification of memristic dynamics with physics modeling, NVM circuit design and hybrid NVM memory system design-space optimization. The authors discuss design methodologies for nano-scale NVM devices from a circuits/systems perspective, including the general foundations for the fundamental memristic dynamics in NVM devices. Coverage includes physical modeling, as well as the development of a platform to explore novel hybrid CMOS and NVM circuit and system design. • Offers readers a systematic and comprehensive treatment of emerging nano-scale non-volatile memory (NVM) devices; • Focuses on the internal state of NVM memristic dynamics, novel NVM readout and memory cell circuit design and hybrid NVM memory system optimization; • Provides both theoretical analysis and practical examples to illustrate design methodologies; • Illustrates design and analysis for recent developments in spin-toque-transfer, domain-wall racetrack and memristors.
Ai Driven Financial Intelligence Integrating Cloud Computing Big Data And Predictive Analytics For Tax Compliance Fraud Detection And Public Sector Fiscal Management
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Author : MURALI MALEMPATI
language : en
Publisher: JEC PUBLICATION
Release Date :
Ai Driven Financial Intelligence Integrating Cloud Computing Big Data And Predictive Analytics For Tax Compliance Fraud Detection And Public Sector Fiscal Management written by MURALI MALEMPATI and has been published by JEC PUBLICATION this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.
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An Overview On The Role Of Fuzzy Set Techniques In Big Data Processing Trends Challenge And Opportunities
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Author : Hai Wang
language : en
Publisher: Infinite Study
Release Date :
An Overview On The Role Of Fuzzy Set Techniques In Big Data Processing Trends Challenge And Opportunities written by Hai Wang and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
In the era of big data, we are facing with an immense volume and high velocity of data with complex structures.
Digital Geographies Urbanisation Economy And Modelling
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Author : Abdul Shaban
language : en
Publisher: Springer Nature
Release Date : 2024-12-17
Digital Geographies Urbanisation Economy And Modelling written by Abdul Shaban and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-17 with Political Science categories.
This machine-generated volume, with chapter introductions by the human expert, of summaries of the existing studies furthers our understanding of the impact of digitalisation on spaces, their imaginations and representations. It brings out the digital territorial and socio-economic digital modelling and representation methods. The virtual spaces, created by GIS, photoshopping, games, etc., have become an area of interest for many as they produce spatial imaginaries having social, political and individual consequences. It delves into the literature on digital capitalism and how it is giving birth to a new mode of expansionary capitalism to reap the surplus values and profits from peripheries and drain the same to the core. It shows how digitalisation has enabled enterprises to operate from a virtual space with strong spatial networks. Mega digital enterprises together control a trillion-dollar economy having massive consequences for digital labour, welfare of consumers, and development geographies. This book explores some critical questions while generating summaries of existing literature: How do imaginaries, models or virtual realities help us comprehend spatialities? How does capitalism relate to digitalism, and with what consequences? How do the cities and mobilities relate to digitalisation? What are the possibilities of re-configuring the man-environmental relations with digital technologies in view of rising pollution and impending climate change? Teachers, researchers, and students engaged in this new area of digital geography, especially in social science and its subfields of sociology, economics, political sciences, anthropology, psychology, development studies, policy studies, social work, urban studies, and planning, will find the volume very useful. For a full picture, the book can be read in combination with its companion volume on ‘Digital Geographies – Theory, Space and Communities’.