Resultaten voor 'yu lei'

1. Jiao , Shi
2. Maoguo , Gong
3. Nan , Zhang

Computational Intelligence for Remote Sensing Image Change Detection

Nowadays, remote sensing systems and technologies have been widely studied and applied in environmental monitoring, land survey, and disaster management. As a pivotal remote sensing task, change detection aims to identify and quantify spatio-temporal changes using multi-temporal imagery, supporting timely decision-making and sustainable resource planning. Nevertheless, conventional change detection approaches remain limited in addressing challenges including sensitivity to noise, discrepancies in spatial resolution, sensor misalignment, and the fusion of multi-source heterogeneous data. To address these issues, advanced computational intelligence (CI) techniques, particularly deep learning and evolutionary computation, are being increasingly adopted, offering improved robustness and adaptability for modern change detection tasks.   This book establishes the first systematic framework of CI-driven methodologies in remote sensing change detection, providing a comprehensive exposition spanning theoretical foundations, algorithmic innovation, and empirical validation. Opening with the research principles of remote sensing change detection and core CI theories, it  covers  CI-driven methodologies tailored to homogeneous (e.g., single-sensor time series) and heterogeneous (e.g., cross-sensor) paradigms. These methodologies address domain-critical challenges such as noise robustness, feature space alignment, and multi-source fusion through rigorously designed technical workflows that cover data preprocessing, adaptive model learning, and task-specific network architecture.  Extensive validation across diverse remote sensing data types—including synthetic aperture radar, optical, multispectral, and hyperspectral imagery—empirically confirms the operational efficacy of these methodologies in delivering accurate and robust change monitoring.   By bridging theory and practice, this book empowers readers to formulate complex problems, develop robust models, and apply cutting-edge CI techniques to remote sensing change detection tasks. It is ideal for researchers and engineers working at the intersection of remote sensing, machine learning, and computational intelligence who seek practical and scalable solutions for change detection in evolving environments.

1. Yuxiu , Lei

500 Years In The Mirror: Azalea Valley

Azalea Valley was a small village of She minority located in a secluded valley at the very west corner of Wuyi Mountain in Fujian province in southern China. The patriarch of Azalea Valley was an architect for the construction projects in the Forbidden City in Beijing. The minister of works for royal construction projects was charged of fraud and embezzlement and his whole family was slaughtered by the emperor. The architect escaped to the south with the daughter of the minister of works and discovered a hidden valley as their refuge. Little Feng was the first baby born in Azalea Valley when the tigers and pythons were still haunting around. Little Feng was revived from the ruins of the ancestral temple in Azalea Valley. Little Feng could pierce through the thick wall of the history with a sword with a handle shaped like a phoenix head. Jinjin was the last descendant of the patriarch of Azalea Valley. Little Feng communicated with Jinjin in their shared dreams and went through 500 years back and forth together in Azalea Valley.

CCF Computer Network Teaching and Computer Network Engineering Discipline Construction

This book constitutes the refereed proceedings of the 16th CCF Symposium, CNETCNED 2025, Dalian, China, August 18-20, 2025, Proceedings. The 14 full papers included in this book were carefully reviewed and selected from 50 submissions. They were organized in topical sections as follows: Teaching Reform and AIGC-empowered Education; Data Management and Security; Communications and Networking Technologies; Educational Technology and Emerging Domains.

1. Mingkai , Zhang

The Fundamental Issues upon Criminal Law Theories

This book mainly adopts the theoretical analysis approach for the argument regarding issues in criminal law. As one of the most influential scholars in criminal law research in China, with his profound knowledge and experiences in criminal law research, the author Professor Mingkai Zhang, has made in-depth argument demonstrating matters in the field, covering the basis of illegality and culpability, the prior act of criminal omission, the illustration of Lehre Vonder Objektive Zurechnung (causation and results imputation), behavioral utilitarianism, defense by accident, risk assumption, specific method errors, anticipated possibility, discontinuation of crime, joint crimes, and concurrence. In this way, the book makes an effort in building critical and distinguished theses of the aforementioned domains. Legal scholars who do research concerning criminal law, law school students who have some previous understanding of criminal law, practitioners who seek for further academic support can find it's beneficial to read the book since the utmost and latest theoretical results of criminal law research in current China are provided here. To be mentioned, the most outstanding features of this book are its theory-orientated argumentation and critical-characterized thinking logics, based on such efforts and on the literature references linking to the pioneers in other civil law countries, audience can be better equipped with the comprehension on criminal law issues.

1. Shui , Yu
2. Lei , Cui

Security and Privacy in Federated Learning

In this book, the authors highlight the latest research findings on the security and privacy of federated learning systems. The main attacks and counterattacks in this booming field are presented to readers in connection with inference, poisoning, generative adversarial networks, differential privacy, secure multi-party computation, homomorphic encryption, and shuffle, respectively. The book offers an essential overview for researchers who are new to the field, while also equipping them to explore this "uncharted territory." For each topic, the authors first present the key concepts, followed by the most important issues and solutions, with appropriate references for further reading. The book is self-contained, and all chapters can be read independently. It offers a valuable resource for master's students, upper undergraduates, Ph.D. students, and practicing engineers alike.

1. Xiaorong , Luo
2. Likuan , Zhang
3. Yuhong , Lei

Dynamics of Hydrocarbon Migration

This book presents the authors' research findings on the dynamics of oil migration, research methodologies, insights and applications in petroliferous basins. It studies the behaviors of oil migration in porous media through physical experiments and numerical simulations, explores the mechanism of oil migration and effects of migration process, and then establishes a migration modeling method by coupling the source, driving forces and carriers. The new method can be used to estimate the amount of migrated hydrocarbons and then predict the location of possible hydrocarbon accumulations in different parts of a basin. This approach is useful for resources assessment and prediction of the distribution of hydrocarbon accumulations. An example utilizing this methodology is presented to study the dynamics of migration and accumulation processes in the southern slope of Dongying Depression in Bohai Bay Basin in China. The book appeals to scientists and professionals working on petroleum prospecting as well as faculty and students in petroleum geology.