A Wind Power Density Forecasting Model Based on RF-DBO-VMD Feature Selection and BiGRU Optimized by the Attention Mechanism by Bixiong Luo, Peng Zuo, Lijun Zhu, Wei Hua

“…Accurate prediction of wind power density (WPD) holds significant practical importance for wind farms, grid operators, and the entire wind power industry, as it facilitates informed decision-making, optimized resource allocation, and enhanced system performance. …”
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Improving the efficiency of visual navigation of an unmanned aerial vehicle by choosing the most informative route by N. V. Kim, D. S. Girenko

“…The aim of the study is to increase the effectiveness of visual navigation by choosing a route with maximum information content. When assessing the information content, it is proposed to take into account the size and shape of the correction areas that can be observed during flight along the appropriate routes, based on the predicted density of the distribution of errors in measuring the coordinates of the UAV. …”
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Analytical Investigation of Primary Waveform Distortion Effect on Magnetic Flux Density in the Magnetic Core of Inductive Current Transformer and Its Transformation Accuracy by Michal Kaczmarek, Kacper Blus

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A Space Weather Approach for Quasi‐Real‐Time Assessment of Satellite Orbital Decay During Geomagnetic Storms Based on Two‐Line Element Sets by Yihan Wu, Dongyan Mao, Tian Mao, Zhou Chen, Jing‐Song Wang

“…Atmospheric density from model simulations can introduce errors, particularly exacerbated during geomagnetic storms, posing significant challenges for space missions. …”
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Application of Three-Dimensional Hierarchical Density-Based Spatial Clustering of Applications with Noise in Ship Automatic Identification System Trajectory-Cluster Analysis by Shih-Ming Wang, Wen-Rong Yang, Qian-Yi Zhuang, Wei-Hong Lin, Mau-Yi Tian, Te-Jen Su, Jui-Chuan Cheng

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Modified generalized Chen distribution, estimation and application using econometrics data by Owens Ogheneochuko Akpojaro, Charles Okechukwu Aronu

“…By evaluating PDFs and performance measures such as the Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC), and mean square error (MSE) across various datasets, the MGC distribution consistently demonstrated superiority over other variants. …”
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Making nutrition labels more evaluable: A qualitative research study exploring equivalence framing for energy density to support chronic disease prevention by Lauren Bayliss

“…However, numeracy skills and denominator neglect (the tendency to ignore the bottom half of a ratio) can make energy density information difficult to interpret. Equivalence framing, the use of the same data in a different format, may make energy density information more intuitive.Aims This study explores perceptions and use of nutrition information by consumers. …”
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Fisher Discriminant Analysis for Extracting Interpretable Phenological Information From Multivariate Time Series Data by Conor T. Doherty, Meagan S. Mauter

“…This article explores the use of Fisher discriminant analysis (FDA) as a method for extracting time-resolved information from multivariate environmental time series data. …”
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Individual Tree Segmentation Based on Region-Growing and Density-Guided Canopy 3-D Morphology Detection Using UAV LiDAR Data by Shihua Li, Shunda Zhao, Zhilin Tian, Hao Tang, Zhonghua Su

“…The results indicated that the average <italic>F</italic>1-scores of six study plots were 0.95, which improved by 5&#x0025; after the introduction of density information. The primary source of errors was the irregularity of tree morphology. …”
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Benchmarking Methods for Pointwise Reliability by Cláudio Correia, Simão Paredes, Teresa Rocha, Jorge Henriques, Jorge Bernardino

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Melt Density Monitoring of Extruder Extrusion Process Based on Multi-source Data Fusion and Convolutional Long Short-term Memory Neural Network by Binbin ZHANG, Zhuyun CHEN, Fei ZHANG, Gang JIN

“…The proposed model effectively learns the intricate mapping relationship between sensory data and melt density by amalgamating these multi-source sensory inputs and using the feature extraction capabilities of convolutional neural networks and the temporal dependencies modeling capabilities of LSTM networks.Results and Discussions The application of the proposed method demonstrates significant efficiency in real-time monitoring of polymer melt density by monitoring the melt density during the PC/ABS blending extrusion process. …”
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Extraction of individual tree attributes using ultra-high-density point clouds acquired by low-cost UAV-LiDAR in Eucalyptus plantations by Mei Zhou, Chungan Li, Zhen Li

“…We validated this framework by acquiring ultra-high-density UAV-LiDAR data in an Eucalyptus plantation. …”
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Joint Event Density and Curvature Within Spatio-Temporal Neighborhoods-Based Event Camera Noise Reduction and Pose Estimation Method for Underground Coal Mine by Wenjuan Yang, Jie Jiang, Xuhui Zhang, Yang Ji, Le Zhu, Yanbin Xie, Zhiteng Ren

“…The maximum absolute trajectory error of the localization method is 2.365 cm, and the mean square error is reduced by 2.263% compared with the unfiltered event localization method.…”
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Accelerating charge estimation in molecular dynamics simulations using physics-informed neural networks: corrosion applications by Aditya Venkatraman, Mark A. Wilson, David Montes de Oca Zapiain

“…A physics-informed loss function enforces charge neutrality and electronegativity equivalence. …”
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Information Entropy and Fuzzy Logic Based Equalizer for PolMux QAM Coherent Optical Communication Systems by Zhili Zhou, Yiju Zhan, Qingling Cai, Xiukai Ruan, Guihua Cui, Yuxing Dai, Haiyong Zhu

“…A novel blind algorithm based on Information Entropy and fuzzy logic is proposed, in which the Renyi&#x0027;s <inline-formula><tex-math notation="LaTeX">$\alpha$</tex-math> </inline-formula> entropy is adopted to measure the uncertainty of error between the desired and estimated probability density function (PDF). …”
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Hourly surface nitrogen dioxide retrieval from GEMS tropospheric vertical column densities: benefit of using time-contiguous input features for machine learning models by J. Gödeke, A. Richter, K. Lange, P. Maaß, H. Hong, H. Lee, J. Park

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Image Storage in DNA by an Extensible Quaternary Codec System by Ruoying Pang, Yiming Dong, Xin Zhao

“…By treating A, T, C, and G as direct encoding symbols (0, 1, 2, 3), an ETQ eliminates the intermediate binary-to-ATCG conversion step, thus surpassing the theoretical storage density limit of 2 bits/nt. An ETQ is built on these three key components: (1) dividing image data into B, G, and R color channels for separate encoding and storage, (2) employing quaternary Huffman encoding to map image information directly into nucleotide sequences, and (3) integrating Reed–Solomon error correction codes to enhance data reliability and system extensibility. …”
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A physics-informed neural network-based method for predicting degradation trajectories and remaining useful life of supercapacitors by Lixin E, Jun Wang, Ruixin Yang, Chenxu Wang, Hailong Li, Rui Xiong

“…Supercapacitors are widely used in transportation and renewable energy fields due to their high power density, stable cycling performance, and rapid charge–discharge capabilities. …”
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Pengukuran Nilai Densitas pada Minyak Pelumas Sepeda Motor dengan Gelombang Ultrasonik by Ahmad Fauzi Firmansyah, Agus Indra Gunawan, Indra Adji Sulistijono, Denny Hanurawan

“…Density is a measure of the mass of each unit volume of an object, the higher the density of an object, the greater the mass of each volume. …”
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<i>α</i>-Fluctuating Nakagami-<i>m</i> Fading Model for Wireless Communications by Aleksey S. Gvozdarev

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