Research on Adaptive Identification Technology for Rolling Bearing Performance Degradation Based on Vibration–Temperature Fusion by Zhenghui Li, Lixia Ying, Liwei Zhan, Shi Zhuo, Hui Li, Xiaofeng Bai

“…Subsequently, an adaptive feature fusion method based on auto-associative kernel regression (AFF-AAKR) was introduced to compress the data in the spatial dimension while enhancing the degradation trend characterization capability of the health indicator (HI) through a temporal residual analysis. …”
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Attention mechanism based CNN-LSTM hybrid deep learning model for atmospheric ozone concentration prediction by Jiang Yuan, Hua Dengxin, Wang Yufeng, Yang Xueting, Di Huige, Yan Qing

“…The method combines an attention mechanism with a convolutional neural network (CNN) and long short-term memory (LSTM) network to address the nonlinear nature of multivariate time-series data. It employs CNN and LSTM to extract features from short time series, enhanced by the attention mechanism to improved short-term prediction accuracy. …”
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Effects of topographic variables on traffic-related pollutant concentrations: comparison of AERMOD and CAL3QHCR models by Kazım O. Demirarslan

“…Model predictions were compared using Spearman’s rank correlation coefficient and validated against observational data from ten air quality monitoring stations. Fractional Bias (FB) and Normalized Mean Square Error (NMSE) were employed as statistical performance metrics.ResultsBoth models estimated higher pollutant concentrations near highways, but AERMOD consistently predicted higher maximum values (CO: 0.78 ppm; NOx: 1.48 ppm; PM10: 26.59 μg/m3). …”
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Copepod Lipidomics: Fatty Acid Substituents of Structural Lipids in <i>Labidocerca aestiva</i>, a Dominant Species in the Food Chain of the Apalachicola Estuary of the Gulf of Mexi... by Paul L. Wood, Stan C. Kunigelis

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Thermal conductivity factor for beef of NOR and DFD grades at the subcryoscopic temperatures by Yu. M. Berezovsky, I. A. Korolev, T. A. Sarantsev

“…There is significant variance among the existing experimental data for the thermal conductivity factor in meat. …”
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Rapid inspection for shaft parts in the automotive field by Yanqiang Sun, Xinyu Lv, Tianbao Tao, Baoya Zhao

“…It is equipped with key mechanical structures, including a positive and negative detection and total length measurement component, an outer diameter detection component, and an outer diameter detection and dual-flank meshing cross-bar distance measurement component. A data acquisition, analysis, and motion control system centered around a Programmable Logic Controller (PLC) has been established. …”
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Propagating information content: an example with advection by D. D. Turner, M. P. Cadeddu, J. M. Simonson, J. M. Simonson, J. M. Simonson, T. J. Wagner

“…</p> <p>Many new data products can be derived by combining geophysical variables retrieved from multiple different remote sensors. …”
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Failure Management Overview in Optical Networks by Sergio Cruzes

“…The key ML techniques discussed include network kriging (NK) for performance estimation and failure localization, support vector machine (SVM) for classification tasks, convolutional neural networks (CNNs) for signal analysis and soft failure identification, and generative adversarial networks (GANs) for synthetic data generation and soft failure detection. …”
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Abstract 028: Chronic Subdural Hematoma Treatment with Embolization Versus Surgery Study Protocol by Farhan Siddiq

“…Results Based on an effect size of 13% of the composite primary outcome, a two‐sided Type I and Type II error of 0.05 and 0.15, and a dropout rate of 10%, a sample size of 394 patients is estimated. …”
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Implementation of MF block in CNN for advanced REB fault diagnosis by M. Pandiyan, Narendiranath Babu T.

“…This work focuses on vibration signals sampled at 12,800 Hz and 5120 Hz as input data to perform the fault diagnosis of bearings. …”
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Machine learning-based equations for improved body composition estimation in Indian adults. by Nick Birk, Bharati Kulkarni, Santhi Bhogadi, Aastha Aggarwal, Gagandeep Kaur Walia, Vipin Gupta, Usha Rani, Hemant Mahajan, Sanjay Kinra, Poppy A C Mallinson

“…Bioelectrical impedance analysis (BIA) is commonly used as a lower-cost measurement of body composition as compared to dual-energy X-ray absorptiometry (DXA) in large-scale epidemiological studies. …”
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Precision Agriculture for Dragon Fruit: A Novel Approach Based on Nighttime Light Remote Sensing by Tianhao Zhan, Xiaosheng Liu, Liang Zhong

“…This study utilizes Nighttime Light (NTL) remote sensing data and proposes the Vegetation and Impervious area Adjusted Nighttime light Dragon fruit Index (VIANDI) to extract artificial light sources associated with dragon fruit cultivation. …”
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Noise reduction in brain magnetic resonance imaging using adaptive wavelet thresholding based on linear prediction factor by Ananias Pereira Neto, Ananias Pereira Neto, Fabrício J. B. Barros

“…IntroductionWavelet thresholding techniques are crucial in mitigating noise in data communication and storage systems. In image processing, particularly in medical imaging like MRI, noise reduction is vital for improving visual quality and accurate analysis. …”
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Exposing Optimal Feature Sets for Enhancing Machine Learning Performance by Hiba Mohammed Al-Marwai, Ghaleb H. Al-Gaphari, Mohammed Mohammed Zayed

“…The majority of high dimensional gene expression data contain a significant amount of redundant genes, posing challenges for machine learning algorithms due to their high dimensionality. …”
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Design, Mathematical Modeling, and Control of an Underactuated 3-DOF Experimental Helicopter by Osamah Talal Makki, Seyyed Sajjad Moosapour, Saleh Mobayen, Jafar Heyrani Nobari

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Extreme Gradient Boosting Algorithm for Predicting Shear Strengths of Rockfill Materials by Mahmood Ahmad, Ramez A. Al-Mansob, Kazem Reza Kashyzadeh, Suraparb Keawsawasvong, Mohanad Muayad Sabri Sabri, Irfan Jamil, Arnold C. Alguno

“…XGBoost beats SVM, RF, AdaBoost, and KNN models in terms of performance evaluation metrics such as coefficient of determination (R2), Nash–Sutcliffe coefficient (NSE), and error in the root mean square ratio (RMSE) to the standard deviation of the measured data (RSR). …”
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Electromagnetic scattering from random rough surface using higher-order GTD-RT numerical technique for optical wireless communications by Asmaa E. Farahat, Khalid F. A. Hussein

“…Given its low average error (< 2.5%) and significantly lower computational cost, the first-order GTD-RT method offers a more practical and efficient solution for optical scattering analysis in rough surface scenarios. …”
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Research on Temperature Control Method of Rice Noodles Extruder Based on APSO-MPC by Mengyao Zhang, Yunren Yang, Guohua Gao, Zhenlong Li, Yakai He, Peigang Li, Huangzhen Lv

“…The temperature balance equation of the barrel is constructed by thermodynamic analysis, and the temperature prediction model is established. …”
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Ultrasonic Flowrate Measurement System for Underground Two-Phase Rate Based on CTMU by CHEN Qiang, DANG Bo, LIU Guoquan, CHEN Guohua, YU Gang, WANG Junjie, YANG Kai

“…The CTMU (Charge Time Measurement Unit) module of dsPIC33EV is used to measure acoustic wave propagation time difference and calculate flowrate with high precision. The test data of the laboratory experimental platform show that the designed ultrasonic flow measurement system comprehensive measurement error is ±7.2%, and the typical power consumption is 20 mW. …”
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In Vitro Hypoglycemic and Antioxidant Activities of Dichloromethane Extract of Xerophyta spekei by Michael Musila Ndile, Wycliffe Arika Makori, Cromwell Mwiti Kibiti, Mathew Piero Ngugi

“…Phytochemicals associated with its antioxidant activity were identified through GC-MS. Data were subjected to descriptive statistics and expressed as mean ± standard error of the mean (X̄ ± SEM). …”
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