Kirjojen hintavertailu. Mukana 12 657 676 kirjaa ja 12 kauppaa.

Kirjailija

Ting He

Kirjat ja teokset yhdessä paikassa: 2 kirjaa, julkaisuja vuosilta 2021-2024, suosituimpien joukossa Network Tomography. Vertaile teosten hintoja ja tarkista saatavuus suomalaisista kirjakaupoista.

2 kirjaa

Kirjojen julkaisuhaarukka 2021-2024.

Collagen-Based Biotextiles for Tissue Engineering

Collagen-Based Biotextiles for Tissue Engineering

Fan Zhang; Daxian Zha; Yihan Huang; Monica Vijay Deshpande; Ting He; Jiyang Chen; Tushar Bambharoliya; Martin W. King

Springer International Publishing AG
2024
sidottu
Based on the author's extensive research experience in collagen textiles and tissue engineering, this book presents a comprehensive introduction and guidelines for engineering artificial tissue using collagen-based fibrous material as a therapeutic candidate for regenerative medicine. The book covers different aspects of fibrous collagen material, including its chemistry, sourcing, fabrication, and applications in tissue engineering and regenerative medicine. Collagen-Based Biotextiles for Tissue Engineering provides a state-of-the-art overview of fibrous collagen-based materials and their application in tissue engineering and regenerative medicine for academic researchers, material scientists, and bioengineers.
Network Tomography

Network Tomography

Ting He; Liang Ma; Ananthram Swami; Don Towsley

Cambridge University Press
2021
sidottu
Providing the first truly comprehensive overview of Network Tomography - a novel network monitoring approach that makes use of inference techniques to reconstruct the internal network state from external vantage points - this rigorous yet accessible treatment of the fundamental theory and algorithms of network tomography covers the most prominent results demonstrated on real-world data, including identifiability conditions, measurement design algorithms, and network state inference algorithms, alongside practical tools for applying these techniques to real-world network management. It describes the main types of mathematical problems, along with their solutions and properties, and emphasizes the actions that can be taken to improve the accuracy of network tomography. With proofs and derivations introduced in an accessible language for easy understanding, this is an essential resource for professional engineers, academic researchers, and graduate students in network management and network science.