-
861
-
862
-
863
Machine learning algorithms for maize yield prediction with multispectral imagery: Assessing robustness across varied growing environments
Published 2025-12-01“…The research utilizes multispectral imagery and maize yield data from diverse growing environments, comprising seven maize planting dates tested across three field locations over two years. Among five ML algorithms tested, the Extra Trees Regressor (ETR) showed superior performance at predicting maize yield across most maize growth phases. …”
Get full text
Article -
864
Anomaly Detection Using Machine Learning in Hydrochemical Data From Hot Springs: Implications for Earthquake Prediction
Published 2024-06-01Subjects: “…earthquake prediction…”
Get full text
Article -
865
-
866
A Cluster Head Selection Algorithm for Extending Last Node Lifetime in Wireless Sensor Networks
Published 2025-05-01Get full text
Article -
867
Location, Location, Location: The Power of Neighborhoods for Apartment Price Predictions Based on Transaction Data
Published 2024-11-01Subjects: “…real estate price prediction…”
Get full text
Article -
868
Novel concept for the healthy population influencing factors
Published 2024-12-01Subjects: Get full text
Article -
869
Study on an interpretable prediction model for pile bearing capacity based on SHAP and BP neural networks
Published 2025-08-01Subjects: Get full text
Article -
870
Design of an Efficient Model for Psychological Disease Analysis and Prediction Using Machine Learning and Genomic Data Samples
Published 2025-02-01Subjects: “…genetic algorithms…”
Get full text
Article -
871
A Novel Deep Learner for Human Behavior Prediction Over Public Video Surveillance
Published 2025-01-01Get full text
Article -
872
Reversible data hiding algorithm based on asymmetric histogram shifting
Published 2019-10-01“…The shifting of two asymmetric histograms in opposite directions in data embedding respectively had produced the pixel compensation and restore effect,a better reversible data hiding algorithm based on pixel prediction was proposed,two asymmetric histograms of prediction error were generated on the more right and the more left side of zero value,when they were shifed in the second data embedding stage,more pixels would be restored to the original image pixel value to reduce image distortion and improve the image quality.Compared with the traditional algorithm,it reduces the amount of pixels involved in the histogram shifting and protects the quality of secret image.…”
Get full text
Article -
873
Joint reduction of peak-to-average power ratio and out-of-band power based on subcarrier weighting in OFDM systems
Published 2012-06-01Subjects: Get full text
Article -
874
Development of machine learning models to predict the risk of fungal infection following flexible ureteroscopy lithotripsy
Published 2025-04-01“…Our study aimed to construct a machine learning algorithm predictive model to predict the risk of fungal infection following F-URL. …”
Get full text
Article -
875
Enhanced AdaBoostM1 with Multilayer Perceptron for Stock Price Prediction
Published 2023-06-01Subjects: “…Stock Market Price Prediction…”
Get full text
Article -
876
Predicting failures in fiber optic information transmission systems with support of machine learning
Published 2025-07-01Subjects: Get full text
Article -
877
Cooling Load Prediction via Support Vector Regression in Individual and Hybrid Approaches
Published 2024-03-01“…Moreover, the hybrid SVCS model, with its minimal RMSE value of 0.747 and remarkable R2 value of 0.994, consistently yields reliable results for CL prediction. This study advances the field of energy-efficient building management by demonstrating how machine learning methods and clever optimization algorithms can be used to predict cooling loads accurately.…”
Get full text
Article -
878
Optimizing Assembly Error Reduction in Wind Turbine Gearboxes Using Parallel Assembly Sequence Planning and Hybrid Particle Swarm-Bacteria Foraging Optimization Algorithm
Published 2025-07-01“…Specifically, the PSBFO algorithm reduced errors from an initial value of 50 to a final value of 5 across 20 iterations, with components such as the low-speed shaft and planetary gear system showing the most substantial reductions. …”
Get full text
Article -
879
Potential Biomarkers for Predicting the Risk of Developing Into Long COVID After COVID‐19 Infection
Published 2025-01-01“…Among the 67 candidate genes were processed with machine learning algorithms and logistic regression, a subgroup consisting of CEP55, CDCA2, MELK, and DEPDC1B, was at last identified as potential biomarkers for predicting the risk of the progression into long COVID after COVID‐19 infections. …”
Get full text
Article -
880