Shunli Zhang – författare

This book constitutes the refereed proceedings of the 12th International Conference, BigData 2023, Held as Part of the Services Conference Federation, SCF 2023, Honolulu, HI, USA, during September 23–26, 2023.  The 14 full papers presented together with 2 short papers were carefully reviewed and selected from 27 submissions. The conference focuses on ​research track and application track.

This book constitutes the refereed proceedings of the 9th International Conference on Internet of Things – ICIOT 2024, held as part of the Services Conference Federation, SCF 2024, in Bangkok, Thailand, during November 16-19, 2024.The 9 full papers presented in this volume were carefully reviewed and selected from 16 submissions. These papers focus on current research in various aspects of IOT technologies and applications, including sensors and other types of sensing devices, wired and wireless networks, platforms and tools, data processing/visualization/analysis and integration engines.

This book constitutes the refereed proceedings of the 14th International Conference on Big Data, BigData 2025, held as part of the Services Conference Federation, SCF 2025, in Hong Kong, China, during September 27–30, 2025.The 15 full papers included in this book were carefully reviewed and selected from 25 submissions. The conference aimed to provide an international forum to formally explore various business insights into all kinds of value-added "agent for big data". Big Data is a key enabler in exploring business insights and economics of services.

This book constitutes the refereed proceedings of the 14th International Conference on Big Data, BigData 2025, held as part of the Services Conference Federation, SCF 2025, in Hong Kong, China, during September 27–30, 2025.The 15 full papers included in this book were carefully reviewed and selected from 25 submissions. The conference aimed to provide an international forum to formally explore various business insights into all kinds of value-added "e;agent for big data"e;. Big Data is a key enabler in exploring business insights and economics of services.

The book focuses on visual object tracking systems and approaches based on correlation filter and deep learning. Both foundations and implementations have been addressed. The algorithm, system design and performance evaluation have been explored for three kinds of tracking methods including correlation filter based methods, correlation filter with deep feature based methods, and deep learning based methods. Firstly, context aware and multi-scale strategy are presented in correlation filter based trackers; then, long-short term correlation filter, context aware correlation filter and auxiliary relocation in SiamFC framework are proposed for combining correlation filter and deep learning in visual object tracking; finally, improvements in deep learning based trackers including Siamese network, GAN and reinforcement learning are designed. The goal of this book is to bring, in a timely fashion, the latest advances and developments in visual object tracking, especially correlation filter and deep learning based methods, which is particularly suited for readers who are interested in the research and technology innovation in visual object tracking and related fields.

The book focuses on visual object tracking systems and approaches based on correlation filter and deep learning. Both foundations and implementations have been addressed. The algorithm, system design and performance evaluation have been explored for three kinds of tracking methods including correlation filter based methods, correlation filter with deep feature based methods, and deep learning based methods. Firstly, context aware and multi-scale strategy are presented in correlation filter based trackers; then, long-short term correlation filter, context aware correlation filter and auxiliary relocation in SiamFC framework are proposed for combining correlation filter and deep learning in visual object tracking; finally, improvements in deep learning based trackers including Siamese network, GAN and reinforcement learning are designed. The goal of this book is to bring, in a timely fashion, the latest advances and developments in visual object tracking, especially correlation filter and deep learning based methods, which is particularly suited for readers who are interested in the research and technology innovation in visual object tracking and related fields.