Search alternatives:
processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
element control » element controls (Expand Search), element content (Expand Search), dependent control (Expand Search)
data processing » image processing (Expand Search)
develop based » developed based (Expand Search), develop masld (Expand Search), development based (Expand Search)
processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
element control » element controls (Expand Search), element content (Expand Search), dependent control (Expand Search)
data processing » image processing (Expand Search)
develop based » developed based (Expand Search), develop masld (Expand Search), development based (Expand Search)
-
161
-
162
-
163
-
164
-
165
-
166
-
167
-
168
-
169
-
170
Data Sheet 1_Exploring immune-inflammation markers in psoriasis prediction using advanced machine learning algorithms.pdf
Published 2025“…Subsequently, nine classification algorithms were developed using the processed training set, including random forest, neural networks, XGBoost, k-nearest neighbors, gradient boosting, logistic regression, naïve Bayes, AdaBoost, and SVMs. …”
-
171
Flow chart of the search process.
Published 2025“…Compared to traditional algorithms, machine learning algorithms are more effective at capturing nonlinear relationships and developing more accurate diagnostic and predictive models.…”
-
172
-
173
-
174
-
175
Data Sheet 1_Development and validation of an endoscopic diagnostic model for sessile serrated lesions based on machine learning algorithms.docx
Published 2025“…Background and aims<p>Sessile serrated lesions (SSLs) are morphologically subtle and often misclassified as hyperplastic polyps (HPs), increasing colorectal cancer risks. We developed a machine learning (ML) model to improve endoscopic SSL diagnosis.…”
-
176
-
177
-
178
Supporting data for "Interpreting complex ecological patterns and processes across differentscales using Artificial Intelligence"
Published 2025“…</p><p dir="ltr">Firstly, a Python package HSC3D, was developed to quantify habitat structural complexity (HSC) at the community level. …”
-
179
-
180