Deep learning algorithms are employed with echocardiograms to categorize heart disease. This paper uses echocardiography to predict and identify heart abnormalities, with the help of decision-making and forecasting, based on the copious data the healthcare sector has provided. Medical ...
Deep Learning algorithms are trained usingthis pre-processed data. VGG16, ResNet101, Inception v2, DesneNet169, and Mobile net are implementations of deep learning algorithms that is developed. The same dataset was used to train the above models, however because each model has a distinct ...
Although there are several applications in the literature, differently in this study, deep learning algorithms such as Convolutional Neural Networks, Convolutional LSTM, and 3D Convolutional Neural Networks fed by Convolutional LSTM have been used in human activity recognition task by feeding with data ...
A set of continuous state-action space-based deep reinforcement learning algorithms are used for the path following of a ship in calm water and waves. The mathematical model of a KVLCC2 tanker represents the ship dynamics. The mathematical model includes the hull force, rudder force, propulsion...
However, the research about a comparison of different machine learning methods is rare; particularly, a comparison of the NN, Extreme Gradient Boosting (XGBoost3), and Light Gradient Boosting Machine (LightGBM4) lacks. A study about the latter two machine learning algorithms in petroleum engineering...
Fourth, there are other essential topics in AES applications such as fairness and algorithms’ vulnerability to cheating behavior. Future studies could compare feature-based and embedding-based AES models regarding fairness (Schaller et al., 2024) and cheating behavior in trait assessment (see, e.g...
FPGA implementation of deep learning model utilizing different normalization algorithms for COVID-19 diagnosis 来自 EBSCO 喜欢 0 阅读量: 2 作者:Zirekgür, Merve,Karakaya, Bar 摘要: Normalization is utilized to remove outliers from the dataset and address network bias. In this research, MeanVariance...
What are the advantages of different classification algorithms?For instance, if we have large training data set with approx more than 10000 instances and more than 100000 features ,then which classifier will be best to choose for classification Want Answers1.1k ...
Han Y, Mi L, Shen L et al (2022) A short-term wind speed prediction method utilizing novel hybrid deep learning algorithms to correct numerical weather forecasting. Appl Energy 312:118777. https://doi.org/10.1016/j.apenergy.2022.118777 Article Google Scholar Cortesi N, Torralba V, González...
In this work, we propose algorithms by making use of Markov Chain Monte Carlo(MCMC) method, which can efficiently search a computationally infeasible space to embed DP into DT generation algorithm. We compare the performance when embedding DP in DT with different depths, i.e., one-step DM ...