State of Health Estimation for Lithium-Ion Battery Using Partial Incremental Capacity Curve and Transfer Learning by Sheng Huang, Xuemei Wang, Longyun Kang, Di Xie, Xi Zhang

“…For the base model, the root mean square error is 0.0033. With the transfer learning method, which utilized only 1.6% of the target domain data, the root mean square error is 0.0039. …”
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Hybrid Prophet-NAR Model for Short-Term Electricity Load Forecasting by Winita Sulandari, Yudho Yudhanto, Etik Zukhronah, Isnandar Slamet, Hilman Ferdinandus Pardede, Paulo Canas Rodrigues, Muhammad Hisyam Lee

“…Traditional models like SARIMA and Singular Spectrum Analysis (SSA) have been widely used but often need to capture complex nonlinear patterns and deal with data uncertainties. …”
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Air quality prediction using stacked bi- long short-term memory and convolutional neural network in India by S Karkuzhali, Thendral Puyalnithi, R Nirmalan

“…This integrated approach aims to address the intricate and nonlinear dependencies present in air quality time series data. During the training phase, the Adam optimizer is used to fine-tune the model’s hyperparameters, with Mean Squared Error (MSE) serving as the loss function. …”
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Bayesian Quantile Regression for Partial Functional Linear Spatial Autoregressive Model by Dengke Xu, Shiqi Ke, Jun Dong, Ruiqin Tian

“…When performing Bayesian modeling on functional data, the assumption of normality is often made on the model error and thus the results may be sensitive to outliers and/or heavy tailed data. …”
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Development of Small Hydroelectric Power Plant Maintenance Costs using Chaos Embedded Adaptive Particle Swarm Optimization by Mahmut Temel Özdemir, Soner Çelikdemir

“…In the study, corrected data from 8 SHPP in India are used. These data cover the maintenance costs of all components for the years 2015-2016. …”
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An online communicative translation assessment model in an Indonesian EFL translation class: Students’ perceptions by Soni Tantan Tandiana, Fuad Abdullah, Dede Anwar, Emmas Maspupah

“…Thirteen students from a TI class participated in this study. The data were obtained from semi-structured interviews and analysed using a thematic analysis. …”
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ML modeling of ultimate and relative bond strength for corroded rebars based on concrete and steel properties by Alireza Hosseinzadeh Kashani, Mansour Ghalehnovi, Hossein Etemadfard

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The water year based on minimizing the terrestrial water storage variation and its validity by Changwu Cheng, Wenzhao Liu, Qiang Li, Tingting Ning, Haixiang Zhou, Zhaotao Mu, Kang Du, Kai Wang, Xiaoyang Han

“…However, a comprehensive quantitative investigation about its determination and usability in catchment water balance analysis remains absent. Leveraging long-term hydrometeorological observations and terrestrial water storage (TWS) data, we ascertained the commencement month of the water year for 15 catchments in the CLP and explored the feasibility of the Budyko framework at the water year scale concerning evapotranspiration (ET) estimation and its change attribution. …”
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Point clouds to as-built two-node wireframe digital twin: a novel method to support autonomous robotic inspection by Farzad Azizi Zade, Arvin Ebrahimkhanlou

“…This research can facilitate various structural modeling directly based on PC data for digital twinning and autonomous robotic inspection.…”
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Estimation of heat transfer parameters by using trained POD-RBF and Grey Wolf Optimizer by Minh Ngoc Nguyen, Nha Thanh Nguyen, Thien Tich Truong

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Multi-Frequency Microwave Sensing System with Frequency Selection Method for Pulverized Coal Concentration by Haoyu Tian, Feng Gao, Yuwei Meng, Xiaoyan Jia, Rongdong Yu, Zhan Wang, Zicheng Liu

“…It measured insertion loss data across the sensor cross-section at various frequencies and utilized PCA to reduce the dimensionality of high-dimensional full-path insertion loss data. …”
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Federated Learning Enhanced MLP–LSTM Modeling in an Integrated Deep Learning Pipeline for Stock Market Prediction by Jayaraman Kumarappan, Elakkiya Rajasekar, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Ambarish Kulkarni

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Ocean Surface Wind Field Retrieval Simultaneously Using SAR Backscatter and Doppler Shift Measurements by Yulei Xu, Kangyu Zhang, Liwei Jing, Biao Zhang, Shengren Fan, He Fang

“…However, this method has yet to be systematically evaluated, particularly with respect to its applicability to Sentinel-1 SAR data. This study presents a comprehensive assessment based on 1803 Sentinel-1 vertical–vertical (VV) polarization level-2 Ocean (OCN) product scenes collocated with in situ measurements from the National Data Buoy Center (NDBC), yielding a total of 2826 matched data pairs. …”
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Research on emulsion concentration detection technology based on interpretable machine learning methods by Jiaxu Kang, Jianwei Li, Meng Wang, Xinwei Guo, Dinghao Liu, Chao Qu, Chengbin Guo

“…Validation on training and test datasets demonstrated that the RF model outperformed others, achieving the lowest MSE (0.115), MAE (0.08), RMSE (0.339), MRE (0.011), and MAPE (1.164), along with the highest R² (0.981). Taylor diagram analysis further confirmed the RF model’s superior alignment with observational data. …”
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Forecasting particulate matter concentration using nonlinear autoregression with exogenous input model by M.I. Rumaling, F.P. Chee, H.W.J. Chang, C.M. Payus, S.K. Kong, J. Dayou, J. Sentian

“…The developed forecasting models are evaluated using data PM10 in the city from 2011 to 2012. Four performance indicators, namely root mean square error, mean absolute error, index of agreement and fractional bias are reported.FINDINGS: Results from principal component analysis show that five variables including wind direction index, relative humidity, ambient temperature, concentration of nitrogen dioxide and concentration of ozone strongly contribute to the variation of PM10 concentration.  …”
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iFLOW: A Framework and GUI to Quantify Effective Thermal Diffusivity and Advection in Permeable Materials From Temperature Time Series by A. Bertagnoli, C. Luce, R. vanKampen, U. Schneidewind, M. vanBerkel, A. W. Tranmer, G. Vandersteen, S. Krause, D. Tonina

“…Available software packages were developed to quantify q and ke only based on a specific mathematical model or focused on specific data processing or parameter estimation techniques, and all these steps were lumped together preventing users to identify potential source of errors. iFLOW proposes a novel organizational philosophy with a modular framework that parses the analysis process into three fundamental steps: (a) the mathematical model, (b) signal processing, and (c) parameter estimation. iFLOW houses a suite of models and analysis techniques. …”
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Calculation of Short-circuit Current of Metro Vehicle Based on External Characteristics of Rectifier Unit by Lei SUN, Mingli WU, Jixing SUN, Zihui HAO, Lei PAN, Tiance LI

“…The comparison between the two results showed that the waveform error was less than 5%. The application analysis of the actual operating conditions shows that the calculation can verify the reliability of the vehicle-network protection configuration. …”
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Assessing the Application Effects and Operating Conditions on Three Different Insulation Capacity Walls Using Internal Quantitative Infrared Thermography in China by Huanyu Li, Guohui Feng, Yi Pu, Han Wang

“…For uninsulated buildings, a temperature difference of 10 °C between indoor and outdoor environments is sufficient to meet testing requirements, with a testing error of only 2.28%. For conventionally insulated buildings, a temperature difference greater than 20 °C reduces the relative error to below 10%. …”
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Modeling and Experimental Study of The Vibration Effects in Urban Free-Space Optical Communication Systems by Wenqi Cai, Ibrahima N'Doye, Boon S. Ooi, Mohamed-Slim Alouini, Taous Meriem Laleg-Kirati

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Modeling and calibration of a full-scale wastewater treatment plant using GPS-X model (A case study of Tehran) by Shabnam Sadri Moghaddam, Mohammad Reza Pirali

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