Li Song – författare

This collection features four peer-reviewed literature reviews on drought-resistant crops.The first chapter assesses the genes involved in drought and heat tolerance, as well as the physiological traits related to increased tolerance to abiotic stress in wheat. It reviews advances in our understanding of the molecular markers associated with these physiological traits, and the roles of key genes in determining a wheat plant’s response to heat and drought stress.The second chapter discusses mechanisms of drought resistance in rice. It reviews ways of assessing drought tolerance performance, identifying genes promoting drought tolerance through quantitative trait loci (QLT) analysis, as well as breeding for drought tolerance.The third chapter highlights the genetic diversity and quantitative trait loci (QTL) associated with the traits contributing to drought and heat tolerance in soybean. It also reviews genomic resources that can facilitate a better understanding of phenotype-genotype associations and formulate genomic-assisted breeding strategies.The final chapter addresses the polygenic nature of tolerance to drought and to heat in grain legumes. It reviews advances in understanding plant adaptation to stress, the assembly of molecular and phenotyping tools to support breeding and the development of tolerance through traditional and molecular breeding techniques.

This book provides state-of-the-art Face De-Identification techniques and privacy protection methods, while highlighting the challenges faced in safeguarding personal information. It presents three innovative image privacy protection approaches, including differential private k-anonymity, identity differential privacy guarantee and personalized and invertible Face De-Identification. In addition, the authors propose a novel architecture for reversible Face Video De-Identification, which utilizes deep motion flow to ensure seamless privacy protection across video frames.This book is a compelling exploration of the rapidly evolving field of Face De-Identification and privacy protection in the age of advanced AI-based face recognition technology and pervasive surveillance. This insightful book embarks readers on a journey through the intricate landscape of facial recognition, artificial intelligence, social network and the challenges posed by the digital footprint left behind by individuals in their daily lives. The authors also explore emerging trends in privacy protection and discuss future research directions.Researchers working in computer science, artificial intelligence, machine learning, data privacy and cybersecurity as well as advanced-level students majoring in computers science will find this book useful as reference or secondary text. Professionals working in the fields of  biometrics, data security, software development and facial recognition technology as well as  policymakers and government officials will also want to purchase this book.

This book provides state-of-the-art Face De-Identification techniques and privacy protection methods, while highlighting the challenges faced in safeguarding personal information. It presents three innovative image privacy protection approaches, including differential private k-anonymity, identity differential privacy guarantee and personalized and invertible Face De-Identification. In addition, the authors propose a novel architecture for reversible Face Video De-Identification, which utilizes deep motion flow to ensure seamless privacy protection across video frames.This book is a compelling exploration of the rapidly evolving field of Face De-Identification and privacy protection in the age of advanced AI-based face recognition technology and pervasive surveillance. This insightful book embarks readers on a journey through the intricate landscape of facial recognition, artificial intelligence, social network and the challenges posed by the digital footprint left behind by individuals in their daily lives. The authors also explore emerging trends in privacy protection and discuss future research directions.Researchers working in computer science, artificial intelligence, machine learning, data privacy and cybersecurity as well as advanced-level students majoring in computers science will find this book useful as reference or secondary text. Professionals working in the fields of  biometrics, data security, software development and facial recognition technology as well as  policymakers and government officials will also want to purchase this book.