Yasha Wang's Books

Enabling Smart Urban Services with GPS Trajectory Data

By: Chao Chen,Daqing Zhang,Yasha Wang,Hongyu Huang

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Enabling Smart Urban Services with GPS Trajectory Data

By: Chao Chen,Daqing Zhang,Yasha Wang,Hongyu Huang

With the proliferation of GPS devices in daily life, trajectory data that records where and when people move is now readily available on a large scale. As one of the most typical representatives, it has now become widely recognized that taxi trajectory data provides rich opportunities to enable promising smart urban services. Yet, a considerable gap still exists between the raw data available, and the extraction of actionable intelligence. This gap poses fundamental challenges on how we can achieve such intelligence. These challenges include inaccuracy issues, large data volumes to process, and sparse GPS data, to name but a few. Moreover, the movements of taxis and the leaving trajectory data are the result of a complex interplay between several parties, including drivers, passengers, travellers, urban planners, etc. In this book, we present our latest findings on mining taxi GPS trajectory data to enable a number of smart urban services, and to bring us one step closer to the vision of smart mobility. Firstly, we focus on some fundamental issues in trajectory data mining and analytics, including data map-matching, data compression, and data protection. Secondly, driven by the real needs and the most common concerns of each party involved, we formulate each problem mathematically and propose novel data mining or machine learning methods to solve it. Extensive evaluations with real-world datasets are also provided, to demonstrate the effectiveness and efficiency of using trajectory data. Unlike other books, which deal with people and goods transportation separately, this book also extends smart urban services to goods transportation by introducing the idea of crowdshipping, i.e., recruiting taxis to make package deliveries on the basis of real-time information. Since people and goods are two essential components of smart cities, we feel this extension is bot logical and essential. Lastly, we discuss the most important scientific problems and open issues in mining GPS trajectory data.

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Page Count

351

Publisher

Springer Nature

Published Date

ISBN 10

981160178X

ISBN 13

9789811601781

All About Bioinformatics

From Beginner to Expert

By: Yasha Hasija

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All About Bioinformatics

From Beginner to Expert

By: Yasha Hasija

All About Bioinformatics: From Beginner to Expert provides readers with an overview of the fundamentals and advances in the _x001F_field of bioinformatics, as well as some future directions. Each chapter is didactically organized and includes introduction, applications, tools, and future directions to cover the topics thoroughly. The book covers both traditional topics such as biological databases, algorithms, genetic variations, static methods, and structural bioinformatics, as well as contemporary advanced topics such as high-throughput technologies, drug informatics, system and network biology, and machine learning. It is a valuable resource for researchers and graduate students who are interested to learn more about bioinformatics to apply in their research work. - Presents a holistic learning experience, beginning with an introduction to bioinformatics to recent advancements in the field - Discusses bioinformatics as a practice rather than in theory focusing on more application-oriented topics as high-throughput technologies, system and network biology, and workflow management systems - Encompasses chapters on statistics and machine learning to assist readers in deciphering trends and patterns in biological data

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Page Count

314

Publisher

Elsevier

Published Date

ISBN 10

0443152519

ISBN 13

9780443152511

Hands on Data Science for Biologists Using Python

By: Yasha Hasija,Rajkumar Chakraborty

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Hands on Data Science for Biologists Using Python

By: Yasha Hasija,Rajkumar Chakraborty

Hands-on Data Science for Biologists using Python has been conceptualized to address the massive data handling needs of modern-day biologists. With the advent of high throughput technologies and consequent availability of omics data, biological science has become a data-intensive field. This hands-on textbook has been written with the inception of easing data analysis by providing an interactive, problem-based instructional approach in Python programming language. The book starts with an introduction to Python and steadily delves into scrupulous techniques of data handling, preprocessing, and visualization. The book concludes with machine learning algorithms and their applications in biological data science. Each topic has an intuitive explanation of concepts and is accompanied with biological examples. Features of this book: The book contains standard templates for data analysis using Python, suitable for beginners as well as advanced learners. This book shows working implementations of data handling and machine learning algorithms using real-life biological datasets and problems, such as gene expression analysis; disease prediction; image recognition; SNP association with phenotypes and diseases. Considering the importance of visualization for data interpretation, especially in biological systems, there is a dedicated chapter for the ease of data visualization and plotting. Every chapter is designed to be interactive and is accompanied with Jupyter notebook to prompt readers to practice in their local systems. Other avant-garde component of the book is the inclusion of a machine learning project, wherein various machine learning algorithms are applied for the identification of genes associated with age-related disorders. A systematic understanding of data analysis steps has always been an important element for biological research. This book is a readily accessible resource that can be used as a handbook for data analysis, as well as a platter of standard code templates for building models.

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Page Count

299

Publisher

CRC Press

Published Date

ISBN 10

1000345483

ISBN 13

9781000345483

Performalism

Form and Performance in Digital Architecture

By: Yasha J. Grobman,Eran Neuman

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Performalism

Form and Performance in Digital Architecture

By: Yasha J. Grobman,Eran Neuman

This book critically examines the implications and influences of computer based design on form as performance. In the context of the architectural discourse, the book posits that today, about fifteen years into the age of digital architecture, we can define architectural form and performance as an ״ism״. The book is supported by a wealth of case studies from some of the top firms across the globe and contributed to by some of the top names in this field. With a unique and insightful emphasis on professional practice this is essential reading for all architects, aspiring and practicing.

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Page Count

226

Publisher

Routledge

Published Date

ISBN 10

0415583608

ISBN 13

9780415583602

Enabling Smart Urban Services with GPS Trajectory Data

By: Chao Chen,Daqing Zhang,Yasha Wang,Hongyu Huang

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Enabling Smart Urban Services with GPS Trajectory Data

By: Chao Chen,Daqing Zhang,Yasha Wang,Hongyu Huang

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Solve jigsaw puzzle

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Page Count

351

Publisher

Springer Nature

Published Date

ISBN 10

981160178X

ISBN 13

9789811601781

Book's by Yasha Wang

Enabling Smart Urban Services with GPS Trajectory Data

Enabling Smart Urban Services with GPS Trajectory Data

All About Bioinformatics

All About Bioinformatics

Hands on Data Science for Biologists Using Python

Hands on Data Science for Biologists Using Python

Performalism

Performalism

Enabling Smart Urban Services with GPS Trajectory Data

Enabling Smart Urban Services with GPS Trajectory Data

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