BEIJING, March 26 (Xinhua) -- Chinese scientists made accurate predictions regarding Antarctic sea ice for December 2023 to February 2024 using deep learning methods. The research team utilized a Convolutional Long Short-Term Memory (ConvLSTM) neural network to construct a seasonal-scale Antarctic sea...
Machine learning (ML) methods has recently contributed very well in the advancement of the prediction models used for energy consumption. Such models highly improve the accuracy, robustness, and precision and the generalization ability of the conventional time series forecasting tools. This article revie...
Using algorithms that iteratively learn from data, machine learning allows computers to find hidden insights without being explicitly programmed where to look. Researchers from University of Cambridge, Los Alamos National Laboratory and Boston University, analyzed the interactions among earthquakes, precursor ...
You can also list your projects on the Community Project page. License Apache PredictionIO is under Apache 2 license. About PredictionIO, a machine learning server for developers and ML engineers. predictionio.apache.org Topics scala big-data predictionio Resources Readme License Apache-2.0 ...
Using the Generated Model Creating a machine learning prediction model is interesting, but the whole point is to use the model to make predictions. AutoML creates a subdirectory named SampleMulticlassClassification in the root People directory. You can specify a more descriptive name using the --na...
diagnosis using WES, different types of mutations and mechanisms should be considered simultaneously to identify the pathogenic mutation. With the development of machine learning (ML) and deep learning (DL), many computational methods using ML or DL have been developed for predicting mutation ...
Prediction of protein-protein interactions from amino acid sequences using extreme learning machine combined with auto covariance descriptor Protein-protein interactions (PPIs) are crucial for almost all cellular processes, including metabolic cycles, DNA transcription and replication, and signa... ZH You...
The absorption of O-shape metasurface design is also predicted using machine learning. 1D-Convolutional Neural Network Regression is used to develop a Machine Learning model to determine absorption values of intermediate wavelength for assorted values of angle of incidence, resonator thickness, and ...
Machine learning is a method of data analysis that automates analytical model building. Using algorithms that iteratively learn from data, machine learning allows computers to find hidden insights without being explicitly programmed where to look. ...
This paper looks at real-time crash prediction in freeway work zones by using machine learning approaches. Both the Convolutional Neural Network and the Binary Logistic Regression model are introduced. For training and testing the models, crash data and traffic data from several freeways in D7 ...