This paper describes a GPU performance and power estimation model that uses machine learning techniques on measurements from real GPU hardware. The model is trained on a collection of applications that are run at numerous different hardware configurations. From the measured performance and power data,...
Machine learningCloud computingLarge data centers consume large amounts of electricity. Estimating the energy consumption in a data center can be of great importance to data centers administrators in order to know the energy-consuming tasks and take actions for reducing the total energy consumption. ...
[#22-08] MICS在线学术讲座:付华柱(Privacy and Trustworthy Machine Learning for Healthcare) 693 0 31:07 App [#22-17] MICS在线学术讲座:肖德强(3D Deep Learning for Shape Estimation in Orthognathic Su 922 1 01:27:43 App [#21-10] MICS在线学术讲座:吕乐(In Search of Effective and Reproducib...
…,I) to the optimization problem in Eq. (1) results in a straightforward solution. First, the minimum sample size required to meet the constraint on the minimum power per omic (xi) is calculated and the initial estimation ofxis set tox = maxI{xi}....
Application of machine learning methods for software effort prediction Software effort estimation is an important area in the field of software engineering. If the software development effort is over estimated it may lead to tight time schedules and thus quality and testing of software may be compromi...
Novel estimation technique for the carrier-to-noise ratio of wireless medical telemetry using software-defined radio with machine-learning Article Open access 13 March 2023 Introduction Power Line Communication (PLC) is a communication technology that uses existing power cables for data transmission. He...
The deep learning algorithm has the function of time memory, and has many advantages such as strong performance, fast convergence, and high precision. The WPP field has also begun to apply these methods in large numbers. Common deep learning algorithms mainly include recurrent neural networks [33...
2.6. Estimation based on machine learning using regression models For the goal of assessing the potential of large-scale AWE development, a large number of geographic locations has to be analyzed. Applying the proposed homotopy-path-following method as implemented in HPbd already provides a reasonabl...
The fundamental difference between modern formulae for intraocular lens (IOL) power calculation lies on the single ad hoc regression model they use to estimate the effective lens position (ELP). The ELP is very difficult to predict and its estimation is
Adam Adaptive moment estimation ARIMA Auto-regressive integrated moving average C-LSTM Constrained long short-term memory CNN Convolutional neural network DL Deep learning ECMWF European center for medium-range weather forecasts FCNN Fully-connected neural network IRENA International renewable energy agency ...