-
701
-
702
Rapid prediction algorithm for flow field in fully mechanized excavation face based on POD and machine learning
Published 2024-10-01“…To effectively utilize dust suppression measures in fully mechanized excavation faces, this study proposed a rapid prediction algorithm for the flow field based on proper orthogonal decomposition (POD) and machine learning. …”
Get full text
Article -
703
A Predictive Map of Larvae Presence Risk Based on Modeling Algorithm in Urban Settings of Endemic Area
Published 2024-01-01Get full text
Article -
704
A hybrid model for improving customer lifetime value prediction using stacking ensemble learning algorithm
Published 2025-05-01Subjects: Get full text
Article -
705
A Gray Predictive Evolutionary Algorithm with Adaptive Threshold Adjustment Strategy for Photovoltaic Model Parameter Estimation
Published 2025-08-01Subjects: Get full text
Article -
706
Optimization and Multimachine Learning Algorithms to Predict Nanometal Surface Area Transfer Parameters for Gold and Silver Nanoparticles
Published 2024-10-01“…Overall, the metal nanoparticles followed more closely the NSET prediction than for Förster resonance energy transfer, though scattering effects began to occur at 20 nm in the nanoparticle diameter. …”
Get full text
Article -
707
-
708
Comparative analysis of machine learning algorithms for predicting tibial intramedullary nail length from patient characteristics
Published 2025-08-01Subjects: Get full text
Article -
709
Oil well productivity capacity prediction based on support vector machine optimized by improved whale algorithm
Published 2024-10-01Subjects: “…Whale algorithm…”
Get full text
Article -
710
EVALUATION OF PARTICLE SWARM ALGORITHM MODIFICATIONS ON SUPPORT VECTOR MACHINE HYPERPARAMETER OPTIMIZATION TUNING FOR RAIN PREDICTION
Published 2024-12-01“… The Particle Swarm Optimization (PSO) algorithm, though simple and effective, faces challenges like premature convergence and local optima entrapment. …”
Get full text
Article -
711
Predicting Irrigation Water Quality Indices Based on Data-Driven Algorithms: Case Study in Semiarid Environment
Published 2022-01-01“…The KR and SAR values were predicted accurately by the SVM model in comparison to the observed values. …”
Get full text
Article -
712
Analysis of the Customer Churn Prediction Project in the Hotel Industry Based on Text Mining and the Random Forest Algorithm
Published 2023-01-01“…In this model, to increase the efficiency of the proposed method in compare with existing works, the gravitational search algorithm was used to select the useful features, and the differential evolution algorithm was used to adjust the parameters of the classification method. …”
Get full text
Article -
713
Algorithm based on 2‐bit adaptive delta modulation and fractional linear prediction for Gaussian source coding
Published 2021-08-01“…Abstract A novel 2‐bit adaptive delta modulation (ADM) algorithm is presented based on uniform scalar quantization and fractional linear prediction (FLP) for encoding the signals modelled by a Gaussian probability density function. …”
Get full text
Article -
714
-
715
-
716
AI-Driven Integrated System for Burn Depth Prediction With Electronic Medical Records: Algorithm Development and Validation
Published 2025-08-01“…ConclusionsThe storage of multimodal imaging data within the EMR, along with the ability for post hoc analysis by AI algorithms, offers significant advancements in burn care, enabling real-time burn depth prediction on currently available data. …”
Get full text
Article -
717
-
718
On the Use of an Improved Artificial Fish Swarm Algorithm-Backpropagation Neural Network for Predicting Dam Deformation Behavior
Published 2020-01-01“…In this paper, an artificial neural network (ANN), trained by the improved artificial fish swarm algorithm (IAFSA) and backpropagation algorithm (BP), is proposed for predicting the dam deformation. …”
Get full text
Article -
719
Radial Basis Function Neural Network with Particle Swarm Optimization Algorithms for Regional Logistics Demand Prediction
Published 2014-01-01“…In this paper, the PSO-RBFNN model, a radial basis function neural network (RBFNN) combined with particle swarm optimization (PSO) algorithm, is studied. The PSO-RBFNN model is trained by indicators data in a region to predict the regional logistics demand. …”
Get full text
Article -
720
A comparative analysis of machine learning algorithms with tree-structured parzen estimator for liver disease prediction
Published 2024-12-01“…No previous literature research has utilized ML algorithms with TPE to predict LD. For this research, the Indian Liver Patients’ Dataset with 583 instances and 11 attributes was used. …”
Get full text
Article