Assessment of deep geothermal energy exploitation methods: The need for novel single-well solutions
Sign Up to like & getrecommendations! Published in 2018 at "Energy"
DOI: 10.1016/j.energy.2018.06.144
Abstract: Abstract Geothermal energy is a constant and independent form of renewable energy and plays a key role towards the world's future energy balance. In particular, deep geothermal resources are largely available across continents and can… read more here.
Keywords: deep geothermal; energy exploitation; energy; geothermal energy ... See more keywords
Assessment of deep learning pose estimates for sports collision tracking
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Sports Sciences"
DOI: 10.1080/02640414.2022.2117474
Abstract: ABSTRACT Injury assessment during sporting collisions requires estimation of the associated kinematics. While marker-based solutions are widely accepted as providing accurate and reliable measurements, setup times are lengthy and it is not always possible to… read more here.
Keywords: pose estimates; learning pose; learning; deep learning ... See more keywords
Invasiveness assessment of deep leaning method for pulmonary subsolid nodules
Sign Up to like & getrecommendations! Published in 2020 at "European Respiratory Journal"
DOI: 10.1183/13993003.congress-2020.4167
Abstract: Background: It is significant to evaluate the degree of invasiveness of lung adenocarcinomas (LACs) appearing as subsolid nodules (SSNs) in CT before making clinical management decisions. The role of automated deep learning (DL) method in… read more here.
Keywords: subsolid nodules; deep leaning; invasiveness assessment; method ... See more keywords
Empirical Assessment of Deep Gaussian Process Surrogate Models for Engineering Problems
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Aircraft"
DOI: 10.2514/1.c036026
Abstract: In recent years, multilayered hierarchical compositions of the well-known and widely used Gaussian process models called deep Gaussian processes are finding use in the approximation of black-box fu... read more here.
Keywords: assessment deep; empirical assessment; process surrogate; deep gaussian ... See more keywords
Performance Assessment of Deep Learning Frameworks through Metrics of CPU Hardware Exploitation on an Embedded Platform
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Electrical and Computer Engineering"
DOI: 10.32985/ijeces.11.1.1
Abstract: In this paper, we analyze heterogeneous performance exhibited by some popular deep learning software frameworks for visual inference on a resource-constrained hardware platform. Benchmarking of Caffe, OpenCV, TensorFlow, and Caffe2 is performed on the same… read more here.
Keywords: deep learning; performance assessment; learning frameworks; performance ... See more keywords