DIAGNOSING METHOD OF SPECIFIC FAULTS’ IDENTIFYING OF GASOLINE ENGINES WITH FUEL INJECTION by G. G. Musayelyants, E. A. Pavlenko, D. K. Sysoyev

“…In fact, the simplest procedure of diagnostics’ process is the error status code determination from the electronic control memory unit by using the diagnostic scanner. …”
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Non-Fragile Estimation for Nonlinear Delayed Complex Networks with Random Couplings Using Binary Encoding Schemes by Nan Hou, Weijian Li, Yanhua Song, Mengdi Chang, Xianye Bu

“…The BESs are put into use in the transmission of data from the sensor to the remote estimator. The phenomenon of bit errors is considered in the process of signal transmission, whose description utilizes a Bernoulli-distributed random sequence. …”
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An analytical examination of the performance assessment of CNN-LSTM architectures for state-of-health evaluation of lithium-ion batteries by Arun Jose, Sonam Shrivastava

“…Various learning models were employed to analyze the data obtained from this hardware, with the support vector machine-based model delivering the most accurate results, showing an error rate of .48 percent. …”
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Prediction of porosity, hardness and surface roughness in additive manufactured AlSi10Mg samples. by Fatma Alamri, Imad Barsoum, Shrinivas Bojanampati, Maher Maalouf

“…These models are evaluated based on the coefficient of determination and the mean squared error. On the basis of the computational results, the artificial neural network outperformed in predicting relative density, surface roughness, and hardness. …”
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Effets de l’économie informelle sur la croissance économique en Afrique sub-saharienne : le rôle de la qualité des institutions by Fousséni RAMDE, Kélani TAGBA

“…Following preliminary tests, the Error Correction Model is specified to conduct econometric analysis in order to bring out both the short-run and long-run coefficients. …”
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Enhanced Wind Energy Forecasting Using an Extended Long Short-Term Memory Model by Zachary Barbre, Gang Li

“…Performance evaluation across different wind speed regimes demonstrated robust predictive capabilities, with the xLSTM model achieving an overall coefficient of determination value of 0.923 and a mean absolute percentage error of 8.47%. Seasonal analysis revealed consistent prediction accuracy across varied meteorological patterns. …”
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Medical students’ perspectives on effective and ineffective teaching behaviors in lectures by KwangHo Mun, Hye Jin Park

“…A 30-item questionnaire was developed based on existing literature. Data analysis included descriptive statistics to rank teaching behaviors and chi-square tests to examine their correlations. …”
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Response surface methodological approach for optimizing the enzyme activity and enzymatically mediated bioprecipitation of heavy metals by alkaline phosphatase by Virendra Vaishnav, Tanushree Chatterjee, Manisha Agrawal

“…Variables were concentration of substrate ((p-NPP 14 to 17 mM), pH 8 to 10.5, and temperature (35 to 45oC). Statistical analysis of variance (ANOVA) was performed to classify the competence of the developed model and revealed a good understanding between the experimental data and the proposed model. …”
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Effect of l-carnıtıne used ın regular exercıse ın elderly obesıs rats by Aynur Başalp, İbrahim Kubilay Türkay

“…In the rare cases where the two tests are contradictory, the Kolmogorov-Smirnov test result, which is more preferred in small data sets, was used. Type 1 error margin for normality tests is taken as 0.05. …”
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Influence of Professional Materials on the Decision-Making of Preservice Secondary Teachers When Noticing Students’ Mathematical Thinking by Mar Moreno, Gloria Sánchez-Matamoros, Julia Valls

“…A qualitative analysis was carried out considering the skills that make up the theoretical models considered. …”
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Bayesian and Non-Bayesian for Generalized Kavya–Manoharan Exponential Distribution Based on Progressive-Stress ALT Under Generalized Progressive Hybrid Censoring Scheme by Ehab M. Almetwally, Osama M. Khaled, Hisham M. Almongy, Haroon M. Barakat

“…The methodology is demonstrated using two real-world accelerated life test data sets.…”
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The Dynamic Event-Based Non-Fragile <i>H</i>_∞ State Estimation for Discrete Nonlinear Systems with Dynamical Bias and Fading Measurement by Manman Luo, Baibin Yang, Zhaolei Yan, Yuwen Shen, Manfeng Hu

“…Sufficient conditions are provided based on Lyapunov stability and matrix analysis techniques to ensure exponential mean-square stability of the estimation error system while satisfying the <i>H</i>_∞ disturbance fading level. …”
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Combined effect of rainfall and sunshine duration on cassava output in Nigeria by O. D. ABERJI, G. E. OYITA, S. ENWA

“… This study examined the combined effect of rainfall and sunshine duration on Casava production in Nigeria from 1988 to 2023 using secondary data obtained from the Nigeria Meteorological Agency (NiMet) and the Food and Agriculture Organization (FAO). …”
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Improved material balance equation (MBE) for gas-condensate reservoirs considering significant water vaporization by Ahmed H. Ramadan, Shedid A. Shedid

“…Error analysis showed that the newly-developed equations are more accurate than previously-developed models. …”
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Reduced Order Probabilistic Emulation for Physics‐Based Thermosphere Models by Richard J. Licata, Piyush M. Mehta

“…We show that across the available data, TIE‐GCM ROPE has similar error to previous linear approaches while improving storm‐time modeling. …”
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Experimental and Analytical Studies on Improved Feedforward ML Estimation Based on LS-SVR by Xueqian Liu, Hongyi Yu

“…Consequently, we employ the linear relationship between least squares support vector regression (LS-SVR)’s inputs and outputs and regard LS-SVR process as a time-varying linear filter to increase input SNR of received signals and decrease the threshold value of mean square error (MSE) curve. Furthermore, it is verified that by taking single-tone sinusoidal frequency estimation, for example, and integrating data analysis and experimental validation, if LS-SVR’s parameters are set appropriately, not only can the LS-SVR process ensure the single-tone sinusoid and additive white Gaussian noise (AWGN) channel characteristics of original signals well, but it can also improves the frequency estimation performance. …”
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Low-Cost Strain-Gauge Force-Sensing Sidestick for 6-DoF Flight Simulation: Design and Human-in-the-Loop Evaluation by Patrik Rožić, Milan Vrdoljak, Karolina Krajček Nikolić, Jurica Ivošević

“…Participants employing a proactive feedforward control strategy exhibited roughly an order of magnitude lower tracking-error variance than those relying on reactive corrections. …”
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Development of a Digital Body Weight Scale Prototype with IoT-Based BMI Calculation and Real-Time Weight Tracking by Lubna Nadra Hasti, Endi Permata, Didik Aribowo

“…The prototype utilizes load cell sensors, HX711, ESP8266, and an OLED display for measuring weight, which is then transmitted to a Flutter-based application (MyWeightApp) connected to Firebase for data storage and graphical visualization. The research adopts the waterfall model for system development, encompassing requirements analysis, planning, modeling, construction, and system handover. …”
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Digital Measurement Method for Main Arch Rib of Concrete-Filled Steel Tube Arch Bridge Based on Laser Point Cloud by Zhiguan Huang, Chuanli Kang, Junli Liu, Hongjian Zhou

“…Finally, the evaluation of quality, accuracy, and efficiency is carried out based on distance deviation analysis and geometric parameter comparison. The experimental results show that, for the experimental data, the fitting error of this method is reduced by 76.32% compared with the traditional method, which can improve the problems with measurement and fitting seen with the traditional method. …”
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PREDICTION SYSTEM FOR THE AMOUNT OF SUGAR PRODUCTION USING ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM by Ahmad Kamsyakawuni, Walidatush Sholihah, Abduh Riski

“…This research consists of data collection, ANFIS system design, ANFIS training, ANFIS testing, accuracy calculation, and result analysis. …”
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