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701
Extraction of Optimal Measurements for Drowsy Driving Detection considering Driver Fingerprinting Differences
Published 2021-01-01“…Secondly, the genetic algorithms were used to optimize fitness functions to obtain measured IDBCPs. …”
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702
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703
Accuracy of cephalometric landmark and cephalometric analysis from lateral facial photograph by using CNN-based algorithm
Published 2024-12-01“…This study evaluates the estimation accuracy by the algorithm trained on a dataset of 2320 patients with added malocclusion patients and the analysis values. …”
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704
A Comparative Study of K-means Clustering Algorithms Using Euclidean and Manhattan Distance for Climate Data.
Published 2025-06-01“…The study examined the effects of clustering algorithms and distance metrics on climate data analysis from meteorological stations in the Kurdistan Region of Iraq (2020–2022). 8-attribute dataset with 1,095 cases was clustered using Random, K-means++, Canopy, and Farthest First methods, evaluated with Euclidean and Manhattan distance metrics via the WEKA tools, which is a versatile and accessible open-source tool for machine learning and data mining. …”
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705
Exploring non-invasive biomarkers for pulmonary nodule detection based on salivary microbiomics and machine learning algorithms
Published 2025-03-01“…Furthermore, the Bayesian optimization algorithm was used to optimize this best-performing model. …”
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706
Genetic algorithm-enhanced linear quadratic control for balancing bicopter system with non-zero set point
Published 2023-12-01“…This article proposes a new control method for bicopter that uses a genetic algorithm optimization approach in the linear quadratic (LQ-GA) control method. …”
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707
Performance Comparison of Vertex Block Descent and Position Based Dynamics Algorithms Using Cloth Simulation in Unity
Published 2024-11-01“…The results indicate that while the performance difference in frames per second (fps) between the two algorithms is negligible for simulations with a small number of nodes, the VBD algorithm consistently outperforms the PBD algorithm as the node count increases. …”
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708
Impact of a multi-step testing algorithm on hospital-onset Clostridioides difficile rates and clinical outcomes
Published 2025-01-01“… Abstract Objective: To evaluate the impact of implementing a multi-step Clostridioides difficile infection (CDI) testing algorithm on hospital-onset (HO)-CDI rates and clinical outcomes. …”
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709
Research of UAV 3D path planning based on improved Dwarf mongoose algorithm with multiple strategies
Published 2025-07-01“…Comparative evaluations on benchmark test functions demonstrate that the improved algorithm (CDMOS) outperforms the original DMO in optimization performance, convergence precision, and overall stability, achieving an average improvement of 53.5% in convergence accuracy and 35.1% in solution stability across 29 benchmark functions. …”
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710
A Hybrid Artificial Neural Network and Particle Swarm Optimization algorithm for Detecting COVID-19 Patients
Published 2021-12-01“…Following that, we implemented Neural Network and Particle Swarm Optimization algorithms. We used precision, accuracy score, recall, and F-Measure tests to evaluate the Neural Network with Particle Swarm Optimization algorithms. …”
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711
Safe AI for coral reefs: Benchmarking out-of-distribution detection algorithms for coral reef image surveys
Published 2025-12-01“…For this reason, we benchmark the latest state-of-the-art OOD (Out Of Distribution) detection algorithms on publicly available coral reef image datasets, and evaluate histogram intersection of outlier scores as an indicator for human intervention. 2. …”
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712
Algorithm for Constructing the Hazard Function of the Extended Cox Model and its Application to the Prostate Cancer Patient Database
Published 2024-12-01“…It simulates the reproduction of flowering plants using pollinating insects and consists of three parts: an ant colony algorithm, a genetic algorithm, and an ant pollinator algorithm. …”
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713
Prediction of cardiovascular risk using machine-learning methods. Sex-specific differences
Published 2025-06-01“…The aim of the study was to evaluate the MACE risk applying the XGBoost and Random Forest ML algorithms to RWD, stratifying the study population by sex, comparing the outcomes of these two algorithms.MethodsThe follow-up period of the study was from 2018 to 2020. …”
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714
The effect of lifestyle on late-life cognitive change under different socioeconomic status.
Published 2018-01-01Get full text
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715
Multi-parametric quantitative MRI reveals three different white matter subtypes.
Published 2018-01-01Get full text
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716
Significance of EEG-electrode combinations while calculating filters with common spatial patterns
Published 2024-09-01“…It is crucial to reduce the amount of features especially in cases where few data is available. Therefore, different approaches to reduce the amount of electrodes used for CSP calculation are tried in this research.Methods: Freely available EEG datasets are used for the evaluation. …”
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717
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718
Evaluating the Performance of SVM, Isolation Forest, and DBSCAN for Anomaly Detection
Published 2025-01-01“…This study evaluates the suitability of three algorithms—Support Vector Machine (SVM), Isolation Forest, and Density-Based Spatial Clustering of Applications with Noise (DBSCAN) by comparing their accuracy and time efficiency in detecting outliers in different types of datasets. …”
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A Machine Learning Approach to Evaluate the Performance of Rural Bank
Published 2021-01-01“…This paper empirically uses data from rural banks in 30 provinces in China to classify the different characteristics of rural banks’ performance in order to better evaluate their performance.…”
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