Optimum Selection of DNN Model and Framework for Edge Inference
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2869929
Abstract: This paper describes a methodology to select the optimum combination of deep neural network and software framework for visual inference on embedded systems. As a first step, benchmarking is required. In particular, we have benchmarked… read more here.
Keywords: optimum selection; selection dnn; framework; model framework ... See more keywords
Optimum selection of A356/Al2O3 nano/microcomposites fabricated with different conditions based on mathematical method
Sign Up to like & getrecommendations! Published in 2017 at "Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications"
DOI: 10.1177/1464420715598172
Abstract: Aluminum matrix composites reinforced with micro- and nano-sized Al2O3 particles provide desirable characteristics for high-performance applications in aerospace, automobile, and military industries, because of their improved physical and mechanical properties. Selection of the best combination… read more here.
Keywords: optimum selection; a356 al2o3; method; different conditions ... See more keywords
NEARLY-OPTIMUM SELECTION OF STRENGTH t ORTHOGONAL ARRAYS: A STRENGTH AND EFFICIENCY APPRAISAL
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Geomate"
DOI: 10.21660/2018.50.7293
Abstract: The process of enumeration and construction of orthogonal arrays has been extensively studied and several methods to develop and implement them have been proposed. There is, however, a gap in the literature when deciding the… read more here.
Keywords: optimum selection; strength; nearly optimum; selection strength ... See more keywords