Bayesian optimized indoor positioning algorithm based on dual clustering
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-024-79647-x
Abstract: Wi-Fi indoor positioning provides a simple, convenient, ubiquitous and cost-effective solution by matching a pre-established Wi-Fi Received Signal Strength Indication (RSSI) fingerprint database with the RSSI values received from mobile terminals. However, due to the… read more here.
Keywords: indoor; bayesian optimized; optimized indoor; algorithm based ... See more keywords
Bayesian-optimized machine learning boosts actual evapotranspiration prediction in water-stressed agricultural regions of China
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DOI: 10.1038/s41598-025-22130-y
Abstract: The accurate estimation of actual evapotranspiration (AET) is crucial for sustainable water resource management, especially in water-scarce and agriculturally intensive regions like Beijing and Tianjin, China. Traditional methods for AET estimation, whether empirical or physically… read more here.
Keywords: actual evapotranspiration; water; bayesian optimized; machine learning ... See more keywords
Enhanced SOC estimation method for lithium-ion batteries using Bayesian-optimized TCN–LSTM neural networks
Sign Up to like & getrecommendations! Published in 2025 at "AIP Advances"
DOI: 10.1063/5.0243811
Abstract: Lithium-ion battery state-of-charge (SOC) estimation is crucial for enhancing the safety and performance of battery management systems and prolonging battery lifespan. However, the nonlinear dynamics of battery charging and discharging processes pose significant challenges for… read more here.
Keywords: battery; tcn lstm; bayesian optimized; estimation ... See more keywords
Bayesian Optimized ANFIS Network Using Grid Partition and Feature Spectrum for Urban Light Pollution Assessment
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Photonics Journal"
DOI: 10.1109/jphot.2025.3553420
Abstract: Precise luminance evaluation of light pollution requires expensive and time-consuming measurement devices such as hyperspectral imaging cameras and imaging luminance-meters, which are also inconvenient to carry. To alleviate this challenge, we selected a low-cost smartphone… read more here.
Keywords: optimized anfis; anfis network; bayesian optimized; light pollution ... See more keywords
U-Net Segmentation with Bayesian-Optimized Weight Voting for Worn Surface Analysis of a PEEK-Based Tribological Composite
Sign Up to like & getrecommendations! Published in 2025 at "Lubricants"
DOI: 10.3390/lubricants13080324
Abstract: This study presents a U-Net-based automatic segmentation framework for quantitative analysis of surface morphology in a PEEK-based composite following tribological testing. Controlled Pin-on-Disc tests were conducted to characterize tribological performance, worn surfaces were captured by… read more here.
Keywords: segmentation; analysis; bayesian optimized; peek based ... See more keywords
Bayesian-Optimized Hybrid Kernel SVM for Rolling Bearing Fault Diagnosis
Sign Up to like & getrecommendations! Published in 2023 at "Sensors"
DOI: 10.3390/s23115137
Abstract: We propose a new fault diagnosis model for rolling bearings based on a hybrid kernel support vector machine (SVM) and Bayesian optimization (BO). The model uses discrete Fourier transform (DFT) to extract fifteen features from… read more here.
Keywords: fault diagnosis; hybrid kernel; kernel svm; bayesian optimized ... See more keywords
Bayesian-Optimized Learning on Heterogeneous Multipartite Graphs: A Framework for Multi-Level Relational Data
Sign Up to like & getrecommendations! Published in 2025 at "Symmetry"
DOI: 10.3390/sym17122082
Abstract: Real-world systems frequently exhibit hierarchical multipartite graph structures, yet existing graph neural network (GNN) approaches lack systematic frameworks for hyperparameter optimization in heterogeneous multi-level architectures, limiting their practical applicability. This study proposes a Bayesian optimization… read more here.
Keywords: multi level; framework; level; bayesian optimized ... See more keywords