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tracking algorithm » tracking algorithms (Expand Search), training algorithms (Expand Search), making algorithm (Expand Search)
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data tracking » path tracking (Expand Search), data backing (Expand Search), uav tracking (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
element » elements (Expand Search)
tracking algorithm » tracking algorithms (Expand Search), training algorithms (Expand Search), making algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
code algorithm » cosine algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
data tracking » path tracking (Expand Search), data backing (Expand Search), uav tracking (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
element » elements (Expand Search)
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<b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043)
Published 2025“…Machine learning regression algorithms were trained to predict betalain accumulation from digital images, outperforming classic spectroradiometer measurements. …”
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1203
Data Sheet 1_Forestry climate adaptation with HarvesterSeasons service—a gradient boosting model to forecast soil water index SWI from a comprehensive set of predictors in Destinat...
Published 2024“…Training gradient boosting models has been successful in predicting satellite observation-based products into the future using Numerical Weather Prediction (NWP) and Earth Observation (EO) climate data as inputs. The Copernicus Global Land Monitoring Service’s Soil Water Index (SWI) satellite-based observations from 2015 to 2023 at 10,000 locations in Europe were used as the predictand (target parameter) to train an artificial intelligence (AI) model to predict soil wetness with XGBoost (eXtreme Gradient Boosting) and LightGBM (Light Gradient Boosting Machine) implementations of gradient boosting algorithms. …”
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1204
Hovering a Ping-Pong Ball: A Demonstration Setup for Teaching PID Control
Published 2025“…We provide a complete assembly and user guide for the PingPongPID as well as the codes for the microcontroller and the Python GUI.…”
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1205
Hovering a Ping-Pong Ball: A Demonstration Setup for Teaching PID Control
Published 2025“…We provide a complete assembly and user guide for the PingPongPID as well as the codes for the microcontroller and the Python GUI.…”
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1206
Hovering a Ping-Pong Ball: A Demonstration Setup for Teaching PID Control
Published 2025“…We provide a complete assembly and user guide for the PingPongPID as well as the codes for the microcontroller and the Python GUI.…”
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1207
Hovering a Ping-Pong Ball: A Demonstration Setup for Teaching PID Control
Published 2025“…We provide a complete assembly and user guide for the PingPongPID as well as the codes for the microcontroller and the Python GUI.…”
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1208
<b>Road intersections Data with branch information extracted from OSM</b> & <b>C</b><b>odes to implement the extraction </b>&<b> I</b><b>nstructions on how to </b><b>reproduce each...
Published 2025“…</p><h2><b>3. Instructions for codes</b></h2><p dir="ltr">This code repository is organized into eight folders and two files:</p><h3>(1) Folder: <b>candidateIdentify</b></h3><p dir="ltr">This folder contains code related to the identification of candidate junctions or intersections from the input data. …”
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1209
The architecture of the SE-multi-input CNN model.
Published 2025“…The fusion strategy combines feature maps via bicubic interpolation and element-wise summation to maintain spatial integrity. …”
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1210
Confusion matrix for the Multi-input CNN model.
Published 2025“…The fusion strategy combines feature maps via bicubic interpolation and element-wise summation to maintain spatial integrity. …”
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1211
Confusion matrices for single-input CNN models.
Published 2025“…The fusion strategy combines feature maps via bicubic interpolation and element-wise summation to maintain spatial integrity. …”
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1212
Confusion matrix for the Multi-input CNN model.
Published 2025“…The fusion strategy combines feature maps via bicubic interpolation and element-wise summation to maintain spatial integrity. …”
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1213
Pipeline for extraction of parameters for ML and DL.
Published 2025“…<p>(A) Diffusion MRI (dMRI) data from the HBN-POD2 sample is used as input to the algorithm. …”
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1214
Steps to the final sample.
Published 2025“…<div><p>One major obstacle to advancing research and treatment for major psychiatric disorders is their substantial within-diagnosis heterogeneity in patient lifetime trajectories. Adapted research methods such as cluster analysis to define subgroups of patients are currently used. …”
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Intuitionistic fuzzy number .
Published 2024“…In addition, the practical effect of the proposed methods is also investigated in this study. A mathematical mechanism is presented to implement the t-intuitionistic fuzzy RSA algorithm. …”
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1219
Experimental message into the integer.
Published 2024“…In addition, the practical effect of the proposed methods is also investigated in this study. A mathematical mechanism is presented to implement the t-intuitionistic fuzzy RSA algorithm. …”
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1220
Triangular .
Published 2024“…In addition, the practical effect of the proposed methods is also investigated in this study. A mathematical mechanism is presented to implement the t-intuitionistic fuzzy RSA algorithm. …”