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Modeling, Computing and Data Handling Methodologies for Maritime Transportation

focus on maritime routing methodologies. Chapters 5 and 6 present decision-making support systems for safe shipping and port security. Last;

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Modeling, Computing and Data Handling Methodologies for Maritime Transportation

focus on maritime routing methodologies. Chapters 5 and 6 present decision-making support systems for safe shipping and port security. Last;

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Facilities Design

software and data files from the authors own website Offers a solutions manual and PowerPoint slides for qualified textbook adoption;

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Road Traffic Modeling and Management

solutions, this book is ideal for researchers and practitioners who want to improve the performance of intelligent transportation systems.

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Marine Navigation and Safety of Sea Transportation

Transportation addresses the main aspects of marine safety, including: safety of navigation; manoeuvering and ship-handling systems; marine traffic;

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Data-Driven Solutions to Transportation Problems

analysis, and machine learning. The book examines the state-of-the-art in data-enabled methodologies, technologies and applications;

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Pattern Recognition And Big Data

describes efficient soft and robust machine learning algorithms and granular computing techniques for data mining and knowledge discovery; and the;

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Intelligent Computing Theories and Methodologies

data analytics; special session on artificial intelligence for ambient assisted living; and special session on swarm intelligence with discrete;

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Intelligent Computing Theories and Methodologies

data analytics; special session on artificial intelligence for ambient assisted living; and special session on swarm intelligence with discrete;

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Spatial Data Handling in Big Data Era

-of-the-art advances in the handling and application of spatial data, especially spatial Big Data, offering a cutting-edge reference guide for;

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Urban Computing

paradigms of urban sensing in sensor-centric and human-centric categories; introduces data management for spatial and spatio-temporal data, from;

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Mobility Patterns, Big Data and Transport Analytics

, observability requirements and limitations for realistic transportation applications and transportation systems analysis that are related to complex;

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Advances in Geo-Spatial Information Science

revised papers presented at the joint International Conference on Theory, Data Handling and Modelling in GeoSpatial Information Science (Hong Kong;

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Spatial Data Handling in Big Data Era

-of-the-art advances in the handling and application of spatial data, especially spatial Big Data, offering a cutting-edge reference guide for;

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High-Performance Computing Applications in Numerical Simulation and Edge Computing

International Workshop on High Performance Computing for Advanced Modeling and Simulation in Nuclear Energy and Environmental Science, HPCMS 2018, and;

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Liner Ship Fleet Planning

systematic approaches for investigating and solving their fleet planning problems, as well as methodologies for addressing their other shipping;

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Urban and Regional Transportation Modeling

Honoring David Boyce for his legendary contributions to the fields of transportation modeling and regional science, the chapters in this;

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Urban High-Resolution Remote Sensing

algorithms in image processing and technology Uses algorithms and methodologies for handling high-resolution imagery from a ground sampling;

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Statistical Computing Environments for Social Research

data are analyzed in the chapters on Axis, R-code, and ViSta packages. The chapters in Statistical Computing Environments for Social Research;

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Statistical Computing Environments for Social Research

data are analyzed in the chapters on Axis, R-code, and ViSta packages. The chapters in Statistical Computing Environments for Social Research;

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Combinatorial Maps

, operations, and algorithms that are useful in handling subdivided geometric objects. It shows how to study data structures for the explicit;

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Combinatorial Maps

, operations, and algorithms that are useful in handling subdivided geometric objects. It shows how to study data structures for the explicit;

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Statistical Methods for Handling Incomplete Data

in the area of missing data analysis. Statistical Methods for Handling Incomplete Data covers the most up-to-date statistical theories and;

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Soft Computing and Its Applications, Volume One

, and it presents several experimental results on synthetic data and real-life data. The book provides a unified platform for applied scientists;

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Soft Computing and Its Applications, Volume One

presents several experimental results on synthetic data and real-life data. The book provides a unified platform for applied scientists and;

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Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

, Systematic Review of Methods for Handling Uncertainties The book summarizes the principles of modeling uncertainty of spatial data and spatial;

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Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

, Systematic Review of Methods for Handling Uncertainties The book summarizes the principles of modeling uncertainty of spatial data and spatial;

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