Search alternatives:
learning algorithm » learning algorithms (Expand Search)
backing algorithm » tracking algorithm (Expand Search), making algorithm (Expand Search), tracking algorithms (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
data learning » meta learning (Expand Search), deep learning (Expand Search), a learning (Expand Search)
element » elements (Expand Search)
learning algorithm » learning algorithms (Expand Search)
backing algorithm » tracking algorithm (Expand Search), making algorithm (Expand Search), tracking algorithms (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
data learning » meta learning (Expand Search), deep learning (Expand Search), a learning (Expand Search)
element » elements (Expand Search)
-
1
-
2
-
3
Algorithmic experimental parameter design.
Published 2024“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”
-
4
Spatial spectrum estimation for three algorithms.
Published 2024“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”
-
5
-
6
-
7
-
8
-
9
-
10
Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things
Published 2025“…This research presents Data-Driven Intrusion Detection System in Internet of Things utilizing Optimized Bayesian Regularization-Back Propagation Neural Network (DIDS-BRBPNN-BBWOA-IoT) to overcome these issues. …”
-
11
-
12
Evaluating the Efficacy of Different Machine Learning Methods to Classify Cancer Data.
Published 2025Subjects: -
13
Acceleration data of African white-backed vultures with behaviour labels
Published 2024“…<p dir="ltr">This dataset is part of the publication "Death detector: Using vultures as sentinels to detect carcasses by combining bio-logging and machine learning" and was used to train machine learning algorithms for behaviour classification.…”
-
14
-
15
-
16
-
17
Types of machine learning algorithms.
Published 2024“…Thus, the objectives of this study are to develop an appropriate model for predicting the risk of undernutrition and identify its influencing predictors among under-five children in Bangladesh using explainable machine learning algorithms.</p><p>Materials and methods</p><p>This study used the latest nationally representative cross-sectional Bangladesh demographic health survey (BDHS), 2017–18 data. …”
-
18
-
19
-
20