Machine learning equipmentBased on measurement data before and after deformationA first shape model representing the shape of an object before deformation and a generating portion for generating a second shape model representing the shape of the object after deformation, andFeatures including the ...
Application of machine learning techniques for predicting software effort Software effort estimation is an important area in the field of software engineering. If the software effort is over estimated it may lead to tight time schedules and thus quality and testing of software may be compromised. In...
In recent years, machine learning has become a frequently used method for statistical estimation. Random forest regression, decision tree regression, suppo... E Kozan - 《International Journal of Industrial Engineering》 被引量: 0发表: 2024年 A systematic study of two machine learning-based approac...
The purpose of this work is to develop a bathymetry dataset that can be used to set up physically-based models for coastal flood modelling work. The nonlinear machine learning technique used in the work is a support vector machine (SVM) model. The sonar data were used as an output whereas...
Here, we utilise state-of-the-art machine learning methods to estimate gestational age using only image analysis of standard ultrasound planes, without any measurement information. The machine learning model is based on ultrasound images from two independent datasets: one for training and internal ...
Machine Learning-Based 5G-and-Beyond Channel Estimation for MIMO-OFDM Communication Systems. machine learningChannel estimation plays a critical role in the system performance of wireless networks. In addition, deep learning has demonstrated significant... HA Le,TV Chien,TH Nguyen,... - 《Sensors》...
Program Analysis and Machine Learning based Approach to Predict Power Consumption of CUDA Kernel General Purpose Graphics Processing Unit (GPGPU) has secured a prominent position in the High-Performance Computing (HPC) world due to its performance gain... G Alavani,J Desai,S Saha,... - 《Acm...
The aim of the present study is to apply support vector machines (SVM) and artificial neural network (ANN) as sex classifiers and to generate useful classification models for sex estimation based on cranial measurements. Besides, the performance of the generated sub-symbolic machine learning models...
The aim of this study is to test whether sex prediction can be made by using machine learning algorithms (ML) with parameters taken from computerized tomography (CT) images of cranium and mandible skeleton which are known to be dimorphic. CT images of th
including portable electronics and electric vehicles, but they degrade over time. To ensure safe operation, a battery’s ‘state of health’ should be monitored in real time, and this machine learning pipeline, tested on a variety of charging conditions, can provide such an online estimation of...