Multi‐Model Assessment of PCA‐Informer Hybrid Model Against Empirical and Deep Learning Methods in TEC Forecasting by Yang Lin, Hanxian Fang, Die Duan, Ding Yang, Hongtao Huang, Chao Xiao, Ganming Ren

“…Our evaluation, based on test set data from 2015 to 2022, demonstrate that the PCA‐Informer model outperforms the IRI‐2016, standalone Informer, and PCA‐enhanced Long Short‐Term Memory (PCA‐LSTM) models in terms of accuracy with root mean squared error (RMSE) of 2.60 TECU and mean relative error (MRE) of 14.1%, and stability for predicting TEC maps for the subsequent 2 days. …”
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Experimental and computational assessment of the heat transfer exchange in evacuated tube receiver using helical external fins by Ameer R. Kalash, Nabil J. Yasin

“…Conversely, at higher flow rates, both systems show comparable thermal efficiencies. Comparative analysis between the experimental results and the ANSYS results indicates agreement within a reasonable margin of error, confirming the validity of the computational simulation procedure. …”
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Investigation of bending angle algorithm and path planning for puncture needles in transjugular intrahepatic portosystemic shunt by Qinmei Liao, Bing Li, Xihao Hu, Xiaoyun Huang, Jiacheng Guo, Yuanzhong Zhu, Wenjing He

“…The puncture pathway was then verified and visualized in three dimensions using Mimics software. Data from 32 patients who successfully underwent TIPS procedures were retrospectively collected for clinical validation and statistical analysis. …”
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Impact of lightweight clay aggregate with slag and biomedical waste ash on self-compacting concrete using machine learning approach by Kennedy C. Onyelowe, Viroon Kamchoom, Shadi Hanandeh, Ahmed M. Ebid, Janneth Alejandra Viñan Villagran, Raúl Gregorio Martínez Pérez, Fausto Ulpiano Caicedo Benavides, Paul Awoyera, Siva Avudaiappan

“…All models were created using “Orange Data Mining” software version 3.36. A combination of error metrics, efficiency metrics and determination/correlation metrics were used to test the models performance and accuracy. …”
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Enhancing Drought Forecast Accuracy Through Informer Model Optimization by Jieru Wei, Wensheng Tang, Pakorn Ditthakit, Jiandong Shang, Hengliang Guo, Bei Zhao, Gang Wu, Yang Guo

“…The performance of these models was evaluated using the root mean square error (RMSE), Nash–Sutcliffe efficiency coefficient (NSE), and Mean Absolute Error (MAE). …”
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The ANFIS-RSM based multi-objective optimization and modelling of ultrasound-assisted extraction of polyphenols from jamun fruit (Syzygium cumini) by Mohammad Ganje, Somayyeh Gharibi, Fatemeh Nejatpour, Maryam Deilamipour, Kimia Goshadehrou, Sahra Saberyan, Gholamreza Abdi

“…For each of the six process-solver conditions, optimal ANFIS models were determined by analyzing the number and type of input membership functions, the output membership function, and the selected optimization and defuzzification methods, based on the highest correlation between actual and predicted data, along with the lowest error rates. Statistical analysis confirmed the effectiveness of both RSM and ANFIS in modeling polyphenol extraction from ripe jamun fruit. …”
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Improving Winter Wheat Yield Estimation Under Saline Stress by Integrating Sentinel-2 and Soil Salt Content Using Random Forest by Chuang Lu, Maowei Yang, Shiwei Dong, Yu Liu, Yinkun Li, Yuchun Pan

“…The VI + SI + SC-based model achieved better accuracy (R² = 0.78, RMSE = 720.16 kg/ha) than VI-based (R² = 0.71), SI-based (R² = 0.69), and VI + SI-based (R² = 0.77) models. Error analysis results suggested that the residuals were reduced as the input parameters increased, and the VI + SI + SC-based model showed a good consistency with the field-measured yields. …”
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Mathematical Modeling of Eyeball Vitreous Cavity and Software Based Thereon for Automatic Calculation of Individual Doses of Antibiotics for Intravitreal Injection in Treating Bact... by V. N. Kazaykin, V. O. Ponomarev, O. P. Ponomarev, A. G. Dudorov, K. T. Israfilov

“…Vitreous cavity of eyeball was approximated by ellipsoid. Statistical analysis has shown a linear dependence of eyeball length vs. vitreous cavity volume; vitreous cavity calculation accuracy does not depend on the cavity size, and a relative error of volume calculations that were performed from the resulting data of a single determination of the cavity surface point coordinates, with a probability of 0.866, does not exceed 1 %. …”
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High-resolution canopy fuel maps based on GEDI: a foundation for wildfire modeling in Germany by Johannes Heisig, Milutin Milenković, Edzer Pebesma

“…Error analysis pointed towards a mixture of biases in model predictions and validation data, as well as underestimation of model prediction standard errors. …”
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Predicting changes in agricultural yields under climate change scenarios and their implications for global food security by Christine Li, James Camac, Andrew Robinson, Tom Kompas

“…Abstract Climate change has direct impacts on current and future agricultural productivity. Statistical meta-analysis models can be used to generate expectations of crop yield responses to climatic factors by pooling data from controlled experiments. …”
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Investment and Economic Indicators in Malaysia by Masturah Ma’in, Norfaiezah Nordin, Izza Hazira Zailan, Saliza Sulaiman, Zuraidah Ismail

“… This study is to investigate the relationship between economic indicators and investment in Malaysia using secondary data spanned through 1982-2015. This study employs an empirical analysis by adapting the unit root test, Johansen co-integration test and vector error correction model (VECM) to determine the short-run and long run effect among variables. …”
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Sintonización geométrica de controladores desde un enfoque basado en datos by Ricardo Alzate-Castaño, María Alejandra Mantilla-Villalobos

“…Background: Tuning PI controllers by conventional methods implies knowledge of the plant model and the application of trial and error techniques. Objective: To adjust the parameters of a PI compensator using a control methodology based on frequency response data. …”
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Co-Integration dan Contagion Effect antara Pasar Saham Syariah di Indonesia, Malaysia, Eropa, dan Amerika Saat Terjadinya Krisis Yunani by Tara Ninta Ikrima, Harjum Muharam

“…VAR (Vector Auto Regressive) and VECM (Vector Error Correction Model) with eviews 6 were used to test the hypothesis as the statistical analysis tools. …”
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DFT-SV-OFDM based adaptive multi-rate DFT scrambling vector code division multiple access by Gao ZHOU, Ping-zhi FAN, Li HAO

“…Multipath interference would degrade the performance of multi-rate systems based on OFDM and CDMA,which spectrum efficiency was also lower relatively.To improve the performance and spectrum efficiency,a novel adaptive multi-rate DFT scrambling vector multi-carrier CDMA (AMR-DFT-VMC-CDMA) was proposed based on the theory of matrix permutation and r-cyclical matrix decomposition characteristics.Meanwhile,by theoretical analysis,the parameters of the system could be adaptively adjusted to ensure frame length long enough to break the restriction between channel bit error rate and data frame length on a certain channel utilization condition.The simulation results show that compared with the traditional multi-rate,multi-subcarrier and spreading system,the new system could achieve multi-rate and multi-user information transmission flexibly with better performance and better spectrum efficiency in fading channels.Moreover,it can satisfy the requirement of frame length under certain channel utilization by adjusting the parameters.…”
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A Stock Prediction Model Based on Cart and Boosting Algorithm by WANG Yu, CHEN De-yun, TANG Yuan-xin

“…Current forecasting models have less consideration in data verticality, so we adds the average price in the past ten days and turnover rate to improve the accuracy of the stock prediction. …”
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An improved DV-Hop localization with minimum connected dominating set for mobile nodes in wireless sensor networks by Gulshan Kumar, Mritunjay Kumar Rai, Rahul Saha, Hye-jin Kim

“…The simulated results in network simulator-2 and the statistical analysis of the data provide a clear impression that our novel algorithm improves the error rate and the time consumption.…”
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Graphical Evaluation of the Ridge-Type Robust Regression Estimators in Mixture Experiments by Ali Erkoc, Esra Emiroglu, Kadri Ulas Akay

“…In this paper, we evaluate various ridge-type robust estimators in the cases where there are multicollinearity and outliers during the analysis of mixture experiments. Also, for selection of biasing parameter, we use fraction of design space plots for evaluating the effect of the ridge-type robust estimators with respect to the scaled mean squared error of prediction. …”
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Code multiplexing using linear block codes by Rabin Alexey, Rabin Sergei, Zyulkov Arseniy

“…This feature underscores the method's potential for improving both the reliability and efficiency of data transmission in various communication systems…”
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Financial determinants of economic growth: The Tanzanian perspective by Kembo Bwana, Mwanangwa Moharuma

“…This study investigated the influence of key financial variables on Tanzania's economic growth from 1990 to 2022, using time series data from the World Bank Development Indicators. …”
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Network-coding-based two-way relay cooperation with energy harvesting by Shunwai Zhang, Rongfang Song, Tao Hong

“…Furthermore, we analyze the outage probability and bit error rate of the system when the optimal antenna selection algorithm is adopted at the relay to transmit data. …”
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