Correction: Develop of a machine learning model to evaluate the hazards of sand dunesSand dunesDSIMachine learningGISWestern DesertEgyptAccurate mapping plays a crucial role in the management of natural hazards, particularly in the monitoring of sand dune movement. In this research, we focused on ...
particularly in the monitoring of sand dune movement. In this research, we focused on modeling sand dune encroachment in a specific study area situated between latitudes 25° 26’ 30” N and 27° 49’ N, and longitudes 27° 28’ E and 31° 08’ E, located in the central Western Desert...
After carefully labeling and annotating these images, the researchers used them to train their machine learning model. Their model consists of a segmentation network, trained to detect and segment pollen, as well as an authentication network, trained to classify different types of honey. "It's cur...
Using this structure in a learned model, the researchers' technique immediately extracts an effectivecontrollerfrom the model, as opposed to other machine-learning methods that require a controller to be derived or learned separately with additional steps. With this structure, their approach is also a...
In machine learning, we save trained models in a file and restore them to compare each with other models. We can also test them using new data. The save process is calledSerialization, while restoration is calledDeserialization. We use a helper Python library calledPickleto save...
use Statistics and Machine Learning Toolbox™ to develop a machine learning classifier to discriminate normal tissue from cancerous tissue. The Classification Learner app lets you perform common supervised learning tasks such as interactively exploring data, ranking and selecting features, specifying vali...
the value of machine learning to let data scientists use well-known models to bridge the gap where a mechanistic model is not yet understood for certain phenomena, Maura offered this recommendation to other developers: “Intel DevCloud is a great space to work on your machine lear...
Develop a Deep Learning Model to Automatically Translate from German to English in Python with Keras, Step-by-Step. Machine translation is a challenging task that traditionally involves large statistical models developed using highly sophisticated linguistic knowledge. Neural machine translation is the use...
combination of R code, SQL Server data, and custom SQL functions to build a classification model that indicates the probability that the driver might get a tip on a particular taxi trip. You also deploy your R model to SQL Server and use server data to generate scores based on the model....
Use EasyTransfer to develop a text classification model,Platform For AI:EasyTransfer is designed to help developers develop transfer learning models in natural language processing (NLP) scenarios. This topic uses text classification as an example to desc