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Mobile Robot Path Planning Based on Enhanced Dynamic Window Approach and Improved A∗ Algorithm
Published 2022-01-01“…In the improved A∗ algorithm, in order to improve the algorithm efficiency, so that a single planning path can pass through multiple target points, the search point selection strategy and evaluation function are optimized. …”
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102
Small Target Detection Algorithm for UAV Aerial Images Based on Improved YOLOv7-tiny
Published 2025-05-01“…Removing the fourth small target detection head results in the most obvious performance degradation, reducing detection accuracy by 2.4%. 3) Comparative experiments are conducted to verify the comprehensive performance of the improved algorithm. …”
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103
Impact of an improved random forest-based financial management model on the effectiveness of corporate sustainability decisions
Published 2024-12-01“…The results show that the accuracy and recall rate of the improved algorithm based on random forest proposed in this study in identifying corporate financial distress are 98.03 % and 100 % respectively. …”
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104
A Model Predictive Control to Improve Grid Resilience
Published 2025-04-01“…The following article details a model predictive control (MPC) to improve grid resilience when faced with variable generation resources. …”
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105
TBESO-BP: an improved regression model for predicting subclinical mastitis
Published 2025-04-01“…In comparison to six alternative models, the TBESO-BP model demonstrates superior accuracy and lower error values.DiscussionThe TBESO-BP model emerges as a precise tool for predicting subclinical mastitis in dairy cows. The TBESO algorithm notably enhances the efficacy of the BP neural network in regression prediction, ensuring elevated computational efficiency and practicality post-improvement.…”
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106
Magnetic targets positioning method based on multi-strategy improved Grey Wolf optimizer
Published 2025-05-01“…Therefore, a Multi-Strategy Improved Grey Wolf Optimizer (MSIGWO) algorithm has been proposed to enhance the accuracy of magnetic target state estimation. …”
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107
Improving with Hybrid Feature Selection in Software Defect Prediction
Published 2024-04-01“…Feature selection is often used by some researchers to overcome these problems, because these methods have an important function in the process of reducing data dimensions and eliminating uncorrelated attributes that can cause noisy. Naive Bayes algorithm is used to support the process of determining the most optimal class. …”
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108
Surface Defect Detection for Small Samples of Particleboard Based on Improved Proximal Policy Optimization
Published 2025-04-01“…On the particleboard defect dataset with limited images, PPOBoardNet achieves a mean average precision (mAP) of 79.0%, representing a 5.3% performance improvement over the YOLO series of optimal detection models. …”
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Problems of optimizing the energy consumption of households in the tasks of improving the energy efficiency of the housing sector
Published 2018-06-01“…The most important results of the work performed are the following:• the methodology for forecasting the graph of the maximum totalpower consumption has been developed.• methods for optimizing energy consumption for each of the selected subsets of household appliances have been developed.• the optimization algorithms obtained have been simulated, which showed their operability, efficiency and the possibility of their practical application without any adaptation.Thus, the article proposes the solution of the problem of optimization of energy consumption in the housing sector, oriented to practical application.…”
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111
A design method of composite pixel-like antenna based on improved bald eagle search algorithm
Published 2025-07-01“…This method not only retains the good convergence of the original algorithm, but also partially improves the global search ability. …”
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Improved empirical wavelet transform combined with particle swarm optimization-support vector machine for EEG-based depression recognition
Published 2024-12-01“…Therefore, there is a pressing need to develop techniques for detecting early signs of depression to enable timely intervention and potentially improve recovery rates. In this paper, we propose an improved method for the early objective diagnosis of depression utilizing an empirical wavelet transform (EWT) technique enhanced by a particle swarm optimization-support vector machine (PSO-SVM) algorithm. …”
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114
A Non-Rigid Three-Dimensional Image Reconstruction Algorithm Based on Deformable Shape Reliability
Published 2024-01-01“…Most reconstruction algorithms for non-rigid three-dimensional (3D) images assume that non-rigidity can be represented as a linear combination of a fixed number of rigid bases. …”
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115
Leveraging Radiomics and Genetic Algorithms to Improve Lung Infection Diagnosis in X-Ray Images Using Machine Learning
Published 2024-01-01“…A comparative analysis is conducted among the genetic algorithm-based TPOT (Tree-based Pipeline Optimization Tool) settings, namely TPOT-Default, TPOT-Light, and TPOT-Sparse, to select the most effective hyperparameters. …”
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REVIEW OF FEATURE SELECTION METHODS USING OPTIMIZATION ALGORITHM (Review paper for optimization algorithm)
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118
Improving air quality prediction using hybrid BPSO with BWAO for feature selection and hyperparameters optimization
Published 2025-04-01“…Feature selection (FS) was conducted using Binary version of Grey Wolf Optimizer (BGWO), Particle Swarm Optimization (BPSO), Whale Optimization Algorithm (BWAO), and a novel hybrid BPSO-BWAO approach to identify the most relevant features for AQI prediction. …”
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119
Heuristic Optimization-Assisted Dilated Convolution Neural Network With Gated Recurrent Unit for Channel Estimation in NOMA-OFDM System
Published 2024-01-01“…The loss functions in the model are optimized by using the Improved Pelican Optimization Algorithm (IPOA). …”
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120
Passenger Flow Prediction for Rail Transit Stations Based on an Improved SSA-LSTM Model
Published 2024-11-01“…According to the experimental results, the proposed SSA-LSTM model has a more effective performance than the Support Vector Regression (SVR) method, the eXtreme Gradient Boosting (XGBoost) model, the traditional LSTM model, and the improved LSTM model with the Whale Optimization Algorithm (WOA-LSTM) in the passenger flow prediction. …”
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