Liang Feng – författare

Paper-based Optical Chemosensors comprehensively discusses the origin, development, and current state-of-the-art in paper-based sensors. With a focus on the principles, classifications, methodology, design, and application of paper-based sensors, this book represents a developing research field with recent innovative applications resulting in a comprehensive presentation of the different physico-chemical techniques using paper sensors. It discloses underlying rules and factors in paper-based sensors and discusses intricate sensing systems and working environments by ways of chemistry and physics for a variety of application scenarios such as environmental protection, food safety, public safety, and clinical diagnosis.This is a valuable resource for researchers who major in analytical chemistry, or for those who are interested in the development of methods or devices for rapid analysis/monitoring based on paper/membrane-based sensors who wish to broaden their knowledge in the allied field.

Presents a comprehensive discussion on the current state, challenges, and future perspectives of paper-based optical chemosensorsOffers discussions on the classification, methodology, design, and application of paper based sensorsProvides opportunities for readers to design paper based sensors with specific purpose and deeper awareness

This book provides readers the recent algorithmic advances towards realizing the notion of optinformatics in evolutionary learning and optimization.

This book provides readers the recent algorithmic advances towards realizing the notion of optinformatics in evolutionary learning and optimization.

In contrast to traditional evolutionary searches, which solve a single task in a single run, evolutionary multi-tasking algorithm conducts searches concurrently on multiple search spaces corresponding to different tasks or optimization problems,each possessing a unique function landscape.