Machine learning based approach for shape memory polymer behavioural characterization
نویسندگان
چکیده
منابع مشابه
Shape-Memory Polymer Composites
The development of shape-memory polymer composites (SMPCs) enables high recovery stress levels as well as novel functions such as electrical conductivity, magnetism, and biofunctionality. In this review chapter the substantial enhancement in mechanical properties of shape-memory polymers (SMPs) by incorporating small amounts of stiff fillers will be highlighted exemplarily for clay and polyhedr...
متن کاملShape Memory Polymer Foams for Biomedical Devices
Developed in last decade, the shape memory polymers (SMP) have been gaining widespread attention for new product innovation. They are lightweight, have a high strain/shape recovery ability, are easy to process, and required properties can be tailored for a variety of applications. Recently a number of medical applications have been considered and investigated for polyurethane-based SMP material...
متن کاملA Machine learning approach for Shape From Shading
The aim of Shape From Shading (SFS) problem is to reconstruct the relief of an object from a single gray level image. In this paper we present a new method to solve the problem of SFS using Machine learning method. Our approach belongs to Local resolution category. The orientation of each part of the object is represented by the perpendicular vector to the surface (Normal Vector), this vector i...
متن کاملDebt Collection Industry: Machine Learning Approach
Businesses are increasingly interested in how big data, artificial intelligence, machine learning, and predictive analytics can be used to increase revenue, lower costs, and improve their business processes. In this paper, we describe how we have developed a data-driven machine learning method to optimize the collection process for a debt collection agency. Precisely speaking, we create a frame...
متن کاملReservoir Characterization: A Machine Learning Approach
‘Reservoir Characterization (RC)’ can be defined as the act of building a reservoir model that incorporates all the characteristics of the reservoir that are pertinent to its ability to store hydrocarbons and also to produce them. It is a difficult problem due to non-linear and heterogeneous subsurface properties and associated with a number of complex tasks such as data fusion, data mining, fo...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Array
سال: 2020
ISSN: 2590-0056
DOI: 10.1016/j.array.2020.100036