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USING REINFORCEMENT LEARNING ALGORITHMS FOR UAV FLIGHT OPTIMIZATION
Published 2024-12-01Get full text
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Predicting Financial Distress through Ranking Working Capital Management Components Using Random Forest Algorithm
Published 2025-03-01“…Subsequently, the predictive power of 7 key working capital management components in forecasting financial distress was tested using Python software and the random forest algorithm.The random forest method is based on ensemble learning, wherein the data are split into training and testing sets. …”
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Mission Re-Planning of Reusable Launch Vehicles Under Throttling Fault in the Recovery Flight Based on Controllable Set Analysis and a Deep Neural Network
Published 2025-02-01“…To quantify the influence of throttling capability, the concept of “controllable set (CS)” is introduced. The CS is defined as the collection of all feasible initial states that can achieve a successful powered landing and is computed using polyhedron approximation and convex optimization. …”
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Predicting and controlling the reactivity of immune cell populations against cancer
Published 2009-04-01Get full text
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Walking detection for Parkinson’s disease patients and healthy control subjects measured with a smartphone accelerometer using mean amplitude deviation algorithm
Published 2025-05-01“…The sensitivity of the algorithm in a controlled measurement setting was 100% and 98.7% for healthy adults and a combined dataset of Parkinson’s disease patients and control subjects, respectively. …”
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An intelligent algorithm for identifying dropped blocks in wellbores
Published 2025-04-01“…An optimal machine learning algorithm was developed by training it with 10 machine learning algorithms and the block data collected in the field. …”
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Assessing training needs and influencing factors among personnel at centers for disease control and prevention in northeast China: a cross-sectional study framed by SDT and TPB usi...
Published 2025-06-01“…Boruta algorithm was used to select feature and improve the performance of the following predictive models. …”
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LimeSoDa: A dataset collection for benchmarking of machine learning regressors in digital soil mapping
Published 2025-07-01Get full text
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Point set registration-based image stitching in unmanned aerial vehicle transmission line inspection
Published 2025-08-01Get full text
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Application of the spectral bisection algorithm for the analysis of criminal communities in social networks
Published 2024-07-01“…Experimental evaluations of the algorithm showed its positive capabilities as part of a set of tools for researching social networks. …”
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Regression Test Suite Minimization Using Modified Artificial Ecosystem Optimization Algorithm
Published 2021-01-01“…To evaluate the performance of proposed approach experiment is conducted in controlled parameter setting on open-source subject program from SIR repository. …”
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Evaluation of different spectral indices for wheat lodging assessment using machine learning algorithms
Published 2025-07-01“…This study presented a systematic approach for detecting the wheat lodging occurred during the end of March and April 2023 in the Ludhiana district of Punjab (India) from multi-temporal Sentinel-2 data using the machine learning algorithms. The ground control points for healthy and lodged areas were collected during March and April 2023. …”
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Predicting the Likelihood of Operational Risk Occurrence in the Banking Industry Using Machine Learning Algorithms
Published 2025-12-01“…Specifically, the RF algorithm achieved an accuracy of 0.9690, while the SVM algorithm attained an accuracy of 0.9587 in State 1, making them the most effective models in this setting. …”
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A DQN-Based Algorithm for Operational Optimization of Freight Trains in Long Steep Downhill Sections
Published 2024-08-01“…Results from simulations conducted in environments set up using Matlab showed that in the task training of train operation on long steep downhill with randomly generated entry speeds, cumulative rewards gradually converged over training runs, which verified the convergence and generalization of the proposed algorithm. …”
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Machine learning algorithms to predict stroke in China based on causal inference of time series analysis
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Genetics, sex and the use of platelet‐rich plasma influence the development of arthrofibrosis after anterior cruciate ligament reconstruction
Published 2025-01-01“…Patient variables and saliva samples were collected from each patient to perform a genetic approach by screening a set of candidate genes implicated in arthrofibrosis. …”
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