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Topology Optimization Theory for Laminar Flow - Applications in Inverse Design of Microfluidics (Hardcover, 1st ed. 2018):... Topology Optimization Theory for Laminar Flow - Applications in Inverse Design of Microfluidics (Hardcover, 1st ed. 2018)
Yongbo Deng, Yihui Wu, Zhenyu Liu
R5,042 Discovery Miles 50 420 Ships in 12 - 19 working days

This book presents the topology optimization theory for laminar flows with low and moderate Reynolds numbers, based on the density method and level-set method, respectively. The density-method-based theory offers efficient convergence, while the level-set-method-based theory can provide anaccurate mathematical expression of the structural boundary. Unsteady, body-force-driven and two-phase properties are basic characteristics of the laminar flows. The book discusses these properties, which are typical of microfluidics and one of the research hotspots in the area of Micro-Electro-Mechanical Systems (MEMS), providing an efficient inverse design approach for microfluidic structures. To demonstrate the applications of this topology optimization theory in the context of microfluidics, it also investigates inverse design for the micromixer, microvalve and micropump, which are key elements in lab-on-chip devices.

Topology Optimization Theory for Laminar Flow - Applications in Inverse Design of Microfluidics (Paperback, Softcover reprint... Topology Optimization Theory for Laminar Flow - Applications in Inverse Design of Microfluidics (Paperback, Softcover reprint of the original 1st ed. 2018)
Yongbo Deng, Yihui Wu, Zhenyu Liu
R4,573 Discovery Miles 45 730 Ships in 10 - 15 working days

This book presents the topology optimization theory for laminar flows with low and moderate Reynolds numbers, based on the density method and level-set method, respectively. The density-method-based theory offers efficient convergence, while the level-set-method-based theory can provide anaccurate mathematical expression of the structural boundary. Unsteady, body-force-driven and two-phase properties are basic characteristics of the laminar flows. The book discusses these properties, which are typical of microfluidics and one of the research hotspots in the area of Micro-Electro-Mechanical Systems (MEMS), providing an efficient inverse design approach for microfluidic structures. To demonstrate the applications of this topology optimization theory in the context of microfluidics, it also investigates inverse design for the micromixer, microvalve and micropump, which are key elements in lab-on-chip devices.

Objective Information Theory (Paperback, 1st ed. 2023): Jianfeng Xu, Shuliang Wang, Zhenyu Liu, Yashi Wang, Yingfei Wang,... Objective Information Theory (Paperback, 1st ed. 2023)
Jianfeng Xu, Shuliang Wang, Zhenyu Liu, Yashi Wang, Yingfei Wang, …
R1,102 Discovery Miles 11 020 Ships in 10 - 15 working days

Objective Information Theory (OIT) is proposed to represent and compute the information in a large-scale complex information system with big data in this monograph. To formally analyze, design, develop, and evaluate the information, OIT interprets the information from essential nature, measures the information from mathematical properties, and models the information from concept, logic, and physic. As the exemplified applications, Air Traffic Control System (ATCS) and Smart Court SoSs (System of Systems) are introduced for practical OITs. This Open Access book can be used as a technical reference book in the field of information science and also a  reference textbook for senior students and graduate ones in related majors.

Radiomics and Its Clinical Application - Artificial Intelligence and Medical Big Data (Paperback): Jie Tian, Di Dong, Zhenyu... Radiomics and Its Clinical Application - Artificial Intelligence and Medical Big Data (Paperback)
Jie Tian, Di Dong, Zhenyu Liu, Jingwei Wei
R3,804 Discovery Miles 38 040 Ships in 10 - 15 working days

The rapid development of artificial intelligence technology in medical data analysis has led to the concept of radiomics. This book introduces the essential and latest technologies in radiomics, such as imaging segmentation, quantitative imaging feature extraction, and machine learning methods for model construction and performance evaluation, providing invaluable guidance for the researcher entering the field. It fully describes three key aspects of radiomic clinical practice: precision diagnosis, the therapeutic effect, and prognostic evaluation, which make radiomics a powerful tool in the clinical setting. This book is a very useful resource for scientists and computer engineers in machine learning and medical image analysis, scientists focusing on antineoplastic drugs, and radiologists, pathologists, oncologists, as well as surgeons wanting to understand radiomics and its potential in clinical practice.

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