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Advances on Modeling in Tissue Engineering
This book presents a collection of chapters describing the state of the art on computational modelling and fabrication in tissue engineering. Tissue Engineering is a multidisciplinary field involving scientists from different fields. The development of mathematical methods is quite relevant to understand cell biology and human tissues as well to model, design and fabricate optimized and smart scaffolds. The chapter authors are the distinguished keynote speakers at the first Eccomas thematic conference on Tissue Engineering where the emphasis was on mathematical and computational modeling for scaffold design and fabrication. This particular area of tissue engineering, whose goal is to obtain substitutes for hard tissues such as bone and cartilage, is growing in importance.
A Method for Recognizing Fatigue Driving Based on Dempster-Shafer Theory and Fuzzy Neural Network
This study proposes a method based on Dempster-Shafer theory (DST) and fuzzy neural network (FNN) to improve the reliability of recognizing fatigue driving. This method measures driving states using multifeature fusion. First, FNN is introduced to obtaint he basic probability assignment (BPA) of each piece of evidence given the lack of a general solution to the definition of BPA function. Second, a modified algorithm that revises conflict evidence is proposed to reduce unreasonable fusion results when unreliable information exists.
Biomaterials for Bone Tissue Engineering
Bone tissue engineering aims to develop artificial bone substitutes that partially or totally restore the natural regeneration capability of bone tissue lost under circumstances of injury, significant defects, or diseases such as osteoporosis. In this context, biomaterials are the keystone of the methodology. Biomaterials for bone tissue engineering have evolved from biocompatible materials that mimic the physical and chemical environment of bone tissue to a new generation of materials that actively interacts with the physiological environment, accelerating bone tissue growth. Mathematical modelling and simulation are important tools in the overall methodology. This book presents an overview...
Information Processing and Management of Uncertainty
These three volumes (CCIS 442, 443, 444) constitute the proceedings of the 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2014, held in Montpellier, France, July 15-19, 2014. The 180 revised full papers presented together with five invited talks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on uncertainty and imprecision on the web of data; decision support and uncertainty management in agri-environment; fuzzy implications; clustering; fuzzy measures and integrals; non-classical logics; data analysis; real-world applications; aggregation; probabilistic networ...
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Self-Healing Construction Materials
This book provides a thorough overview of all techniques for producing self-healing construction materials. Construction materials (cement-based, bituminous, metals, and alloys) are prone to cracking, which with the progress of time can lead to compromising of the structural integrity of critical infrastructure. Self-healing materials form a new class of materials that have inbuilt engineered properties to counteract damage and repair it before it becomes critical. The methods for monitoring, modeling, and assessing self-healing are also reviewed. The final section of the book discusses the future outlook and potential extension of self-healing concepts to other materials (e.g., heritage structures and soils).
