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Point Cloud Segmentation Based on the Uniclass Classification System with Random Forest Algorithm for Cultural Heritage Buildings in the UK
Published 2025-04-01“…This paper presents an advanced hierarchical classification framework using the Random Forest (RF) algorithm to segment and classify large-scale point clouds of heritage buildings. …”
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Presenting a Prediction Model for CEO Compensation Sensitivity using Meta-heuristic Algorithms (Genetics and Particle Swarm)
Published 2024-09-01“…Given these points, the aim of this research is to provide a model for predicting the sensitivity of CEO compensation using meta-heuristic algorithms, specifically genetic algorithms and particle swarm optimization. …”
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Equalizer Design: HBOA-DE-trained radial basis function neural networks
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An Unambiguous Super-Resolution Algorithm for TDM-MIMO-SAR 3D Imaging Applications on Fast-Moving Platforms
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Besemah Language Translation Machine Model Based on Machine Learning with Recurrent Neural Network (RNN) Model Algorithm
Published 2025-04-01“…Experimental research in machine learning for language translation is a research approach that involves designing and implementing a series of experiments to test and validate the performance of the language translation model. …”
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SIP Flooding Attack Detection Technology of Multi-agent System Covert Network Based on BiGRU Algorithm
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Polar lights optimizer: A novel algorithm for accurate parameter estimation in proton exchange membrane fuel cells
Published 2025-09-01“…The algorithm completes 50 iterations in every test scenario and achieves the top Friedman Ranking score of 1. …”
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Investigating Optimal EEG Channels and Features for Brain-Computer Interfaces: An Exploration using Evolutionary Algorithms and Machine Learning
Published 2025-03-01“…The Imperialist Competitive Algorithm (ICA) and Cuckoo Optimization Algorithm (COA) were utilized for feature selection. …”
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An Innovative Inversion Method of Potato Canopy Chlorophyll Content Based on the AFFS Algorithm and the CDE-EHO-GBM Model
Published 2025-05-01“…For example, it faces limitations of the growth cycle, low parameter accuracy, and single feature selection, and there is a lack of efficient and precise systematic research methods. In this study, an improved Adaptive-Forward Feature Selection (AFFS) algorithm was developed by combining remote sensing data and measured data to optimize the input Vegetation Index (VI) variables. …”
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