Chao Li – författare

This book will appeal to professionals and researchers in the areas of GIS, mobile telecommunications services and LBS. It provides a comprehensive view and in-depth knowledge for academia and industry alike. It serves as essential reading and an excellent resource for final year undergraduate and postgraduate students in GIScience, Geography, Mobile Computing or Information Systems who wish to develop their understanding of LBS.

In the field of image processing, many applications require real-time execution, particularly those in the domains of medicine, robotics and transmission, to name but a few. Recent technological developments have allowed for the integration of more complex algorithms with large data volume into embedded systems, in turn producing a series of new sophisticated electronic architectures at affordable prices.  This book performs an in-depth survey on this topic. It is primarily written for those who are familiar with the basics of image processing and want to implement the target processing design using different electronic platforms for computing acceleration.  The authors present techniques and approaches, step by step, through illustrative examples. This book is also suitable for electronics/embedded systems engineers who want to consider image processing applications as sufficient imaging algorithm details are given to facilitate their understanding.

In the field of image processing, many applications require real-time execution, particularly those in the domains of medicine, robotics and transmission, to name but a few. Recent technological developments have allowed for the integration of more complex algorithms with large data volume into embedded systems, in turn producing a series of new sophisticated electronic architectures at affordable prices.  This book performs an in-depth survey on this topic. It is primarily written for those who are familiar with the basics of image processing and want to implement the target processing design using different electronic platforms for computing acceleration.  The authors present techniques and approaches, step by step, through illustrative examples. This book is also suitable for electronics/embedded systems engineers who want to consider image processing applications as sufficient imaging algorithm details are given to facilitate their understanding.

This volume LNCS 14243 constitutes the refereed proceedings of the Second International Workshop, CMMCA 2023, Held in Conjunction with MICCAI 2023, on October 8, 2023, in Vancouver, BC, Canada.  

The 17 full papers presented were carefully reviewed and selected from 25 submissions. The conference focuses on the discovery of cutting-edge techniques addressing trends and challenges in theoretical, computational, and applied aspects of mathematical cancer data analysis.

This book constitutes the refereed proceedings of Third International Workshop on Computational Mathematics Modeling in Cancer Analysis, CMMCA 2024, held in Marrakesh, Morocco, on October 6, 2024, in conjunction with MICCAI 2024. 

The 12 full papers presented in this book were carefully reviewed and selected from 14 submissions. CMMCA serves as a platform for collaboration among professionals in mathematics, engineering, computer science, and medicine, focusing on innovative mathematical methods for analyzing complex cancer data.

This book covers Martian Aeolian Geomorphology and is organized around three main foci. The first focus is about advancing our understanding of aeolian geomorphology through research on Martian aeolian landforms. Chapters 1 through 4 provide essential knowledge for understanding the aeolian geomorphology of Mars. Among them, Chapters 1 and 2 provide readers with a clear understanding of the significance, scientific status and methodology of the study of aeolian geomorphology on Mars. Chapters 3 introduces the physics of aeolian geomorphology and Chapter 4 presents an overview of Mars. Chapters 5 and 6 are devoted to the Martian atmosphere, and Martian sediments respectively, constituting the dynamic conditions and the material basis for the formation of aeolian landforms, their basic characteristics, the processes that control their formation and evolution, and comparisons with Earth. Chapters 7 and 8 discuss the geomorphological types, morphology and distribution of dunes on Mars, and extract information on the developmental environment and processes that control dune landforms.

The second focus of this book concerns the unique characteristics of Martian aeolian landforms. Chapters 9 and 10 provide thorough introductions to several unique Martian aeolian landforms.

The third focus is to provide a textbook for graduate students. To facilitate understanding of Martian aeolian landforms and deepen the reader’s comprehension of current aeolian geomorphological theories, we connect the characteristics of various aspects of Martian aeolian landforms with the relevant theories, and especially the classical theories that have stood the test of time. At the same time, we try to present different viewpoints and hypotheses on relevant scientific issues, leaving readers with wide room for innovative thinking.

The book’s 12 chapters are ordered to start with an overview of fundamental knowledge (Chapters 1to 4), continue (Chapters 5 to 11) by describing the book’s core content, and conclude (Chapters 12 ) by relating what we believe about Mars to what we know about Earth.

This book constitutes the refereed proceedings of the 12th Annual Conference on Advanced Computer Architecture, ACA 2018, held in Yingkou, China, in August 2018. 

The 17 revised full papers presented were carefully reviewed and selected from 80 submissions. The papers of this volume are organized in topical sections on: accelerators; new design explorations; towards efficient ML/AI; parallel computing system.

The 12 full papers presented were thoroughly reviewed and selected from 50 submissions. The papers focus on the diverse environments of smart learning, including massive open online courses with AI assistants, intelligent tutoring systems, interactive learning courseware, learning games, collaborative programming communities, community tutorial systems, personalized exercise programs, tutoring robotics, etc. The papers are organized in the following topical sections: ​smart learning; information technologies.