Methods to represent and exchange parts consisting of Functionally Graded Material (FGM) for Solid Freeform Fabrication (SFF) with Local Composition Control (LCC) are evaluated ba...
Todd R. Jackson, Wonjoon Cho, Nicholas M. Patrikal...
Insufficient training data is one of the major problems in neural network learning, because it leads to poor learning performance. In order to enhance an intelligent learning proc...
Traditional clustering algorithms work on "flat" data, making the assumption that the data instances can only be represented by a set of homogeneous and uniform features...
Levent Bolelli, Seyda Ertekin, Ding Zhou, C. Lee G...
Due to the large contribution of the memory subsystem to total system power, the memory subsystem is highly amenable to customization for reduced power/energy and/or improved perf...
Pablo Viana, Ann Gordon-Ross, Edna Barros, Frank V...
In some real world applications, such as spectrometry, functional models achieve better predictive performances if they work on the derivatives of order m of their inputs rather t...