Lina Han – författare

This book presents special systems derived from industrial models, including the complex saturation nonlinear functions and the delay nonlinear functions. It also presents typical methods, such as the classical Liapunov and Integral Inequalities methods. Providing constructive qualitative and stability conditions for linear systems with saturated inputs in both global and local contexts, it offers practitioners more concise model systems for modern saturation nonlinear techniques, which have the potential for future applications. This book is a valuable guide for researchers and graduate students in the fields of mathematics, control, and engineering.

This book focuses on typical health services and remote monitoring methods, such as visual recognition and deep learning. Chiefly addressing the design and simulation of rehabilitation devices, and the evaluation of their effects on various diseases, it offers a valuable resource for professional researchers and graduate students in the fields of elderly medicine, signal processing, and rehabilitation.

This book is intended primarily for researchers, engineers, and graduate students in the fields of medicine management and software engineering in the field of dermatology.

Aiming at the problems of color deviation, structured noise interference, and uneven distribution of feature points in the identification of melanoma, this book researches four aspects of dermoscopic image such as color correction, hair removal, image registration and classification recognition. Some creative methods are presented as follows, 1 Dermoscopic image color correction, 2 Dermoscopic image hair removal, 3 Dermoscopic image registration. In writing style, a combination of diagrams, tables, formula and text is used in order that the book can be understood easily and raise the readers’ interest, and in content, theoretical analysis and medical application are combined to describe the advanced technologies in every chapter.

This book introduces how to enhance the context capture ability of the model, improve the position information perception ability of the pretrained models, and identify and denoise the unlabeled entities. The Chinese medical named entity recognition is an important branch of the intelligent medicine, which is beneficial to mine the information hidden in medical texts and provide the medical entity information for clinical medical decision-making and medical classification. Researchers, engineers and post-graduate students in the fields of medicine management and software engineering.

This book explores the applications of cutting-edge technologies such as AI, blockchain, signal processing, digital twin technology, and 5G communication technology in healthcare. The writing style combines diagrams, tables, formulae, and text to enhance readability. The content combines theoretical analysis and medical application in every chapter. This book presents several innovative methods, including an AI-based computer-aided diagnosis system, a blockchain-based AI system framework for healthcare, pre-processing algorithms for medical imaging, digital twin models for healthcare, a healthcare platform based on cloud, fog, and edge computing, and a personal health device domain information model. This book will be valuable for researchers, engineers, and post-graduate students in the fields of medicine management and software engineering.