Investigating permeability of metal felt capillary structures of heat pipes for cooling electronics by Vladimir Kravets, Roman Melnyk, Andrii Chervoniuk, Ievgen Shevel

“…The research results can be used to design heat pipes with maximum heat transfer characteristics for cooling electronics.…”
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New two parameter hybrid estimator for zero inflated negative binomial regression models by Fatimah A. Almulhim, M. Nagy, Ali T. Hammad, A. H. Mansi, Getachew Tekle Mekiso, M. M. Abd El-Raouf

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Techniques for Accelerometer Reading Processing on Railway Transport Using Wavelet Transform by A. M. Boronakhin, A. V. Bolshakova, D.  M. Klionskiy, D. Yu. Larionov, R. V. Shalymov

“…The results show that the discrete wavelet transform is effective for multiresolution and multiband analysis, and continuous wavelet transform and wavelet scalogram allows extraction of irregularities and determination of their parameters. The relative error for irregularity depth was improved by 18 %, and the absolute error for irregularity length determinations was reduced by 7 times.Conclusion. …”
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M5 Soft Computing Techniques for Assessment of Soil Liquefaction by Abu Sayed, Md Rahman

“…The purpose of this research is to develop an M5 model for both classification and regression in order to investigate the suitability of the M5 decision tree for liquefaction assessment. …”
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Navigation control of unmanned aerial vehicles in dynamic collaborative indoor environment using probability fuzzy logic approach by Sameer Agrawal, Bhumeshwar K. Patle, Sudarshan Sanap

“…The development of drones in various applications makes it essential to address the critical issue of providing collision-free and optimal navigation in uncertain environments. The current research work aims to develop, simulate and experiment with the Probability Fuzzy Logic (PFL) controller for route planning and obstacle avoidance for drones in uncertain static and dynamic environments. …”
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Forecasting time series of the market indicators based on a nonlinear autoregressive neural network by Denis V. Domashchenko, Edvard E. Nikulin

“…The modern practice of economic research relies heavily on mathematical models that make it possible to reveal hidden regularities in statistical data and make forecasts on their basis. …”
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Development of low-cost portable spectrometer equipped with 18-band spectral sensors using deep learning model for evaluating moisture content of rubber sheets by Amorndej Puttipipatkajorn, Amornrit Puttipipatkajorn

“…The 1D-CNN model had a better prediction accuracy, with a coefficient of determination (R2) of 0.962, a root mean squared error of prediction (RMSEP) of 0.410 %, a prediction-to-deviation ratio (RPD) of 5.2, and an error range ratio (RER) of 18.0. …”
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Displacement Estimation Performance of a Cost-Effective 2D-LiDAR-Based Retaining Wall Displacement Monitoring System by Jun-Sang Kim, Young Suk Kim

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Data-driven assessment of corrosion in reinforced concrete structures embedded in clay dominated soils by Shahbaz Ahmad, Siraj Ahmad, Sabih Akhtar, Faraz Ahmad, Mujib Ahmad Ansari

“…The FFBP model outperformed CFBP in terms of predictive accuracy, achieving a correlation coefficient (R) of 0.998, a mean absolute percentage error (MAPE) of 30.43%, and a root mean square error (RMSE) of 0.071 during testing. …”
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Reversible Adversarial Examples with Minimalist Evolution for Recognition Control in Computer Vision by Shilong Yang, Lu Leng, Ching-Chun Chang, Chin-Chen Chang

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Adaptive Nonlinear Proportional–Integral–Derivative Control of a Continuous Stirred Tank Reactor Process Using a Radial Basis Function Neural Network by Joo-Yeon Lee, Gang-Gyoo Jin, Gun-Baek So

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A hybrid security protocol based on honey encryption and hyperchaotic systems for improving security in internet of things by Weimeng Wang, Chengliang Liu, Weiqiao Zhu, Chenhui Xie

“…Also, in terms of security, this method has been able to improve the security of information, which has achieved values of 1.041 and 0.49, respectively, using the Mean Squared Error and Bit Error Ratio criteria.…”
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Cross-Technology Interference-Aware Rate Adaptation in Time-Triggered Wireless Local Area Networks by Hanjin Kim, Young-Jin Kim, Won-Tae Kim

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Machine learning based prediction modeling of micro-EDM of Ti–29Nb–13Ta–4.6Zr (TNTZ) by Shahid Ali, Didier Talamona, Asma Perveen

“…It has the highest R2 of 0.99, the lowest NRMSE of 0.0245, and the percentage of prediction error is less than 5%.…”
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New correlation for estimation of cementation factor in Asmari carbonate rock reservoirs by Mohammad Shahi, Mehdi Mohammad Salehi, Mosayyeb Kamari

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Seismic performance of steel frame joint with dumbbell-type replaceable energy-consuming beam sections by Fuming Wang, Zhixuan Zhou, Zipeng He, Yichun Ren, Wei Xie

“…Abstract This research proposes a steel frame joint that addresses the issues of low lateral stiffness and the difficult replacement of traditional flange weakening joints. …”
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ROBUST GEOGRAPHICALLY WEIGHTED REGRESSION WITH LEAST ABSOLUTE DEVIATION (LAD) ESTIMATION AND M-ESTIMATION ON GRDP OF WEST JAVA PROVINCE by Prizka Rismawati Arum, Mohammad Ridwan, Ina Alfidayanti, Rochdi Wasono

“…Selection of the best model is seen based on the value of the coefficient of determination (R2) and Mean Squared of Error (MSE). The research results show that the Robust Geographically Weighted Regression (RGWR) method with M-estimation is much more effective in estimating the distribution of GRDP in West Java Province in 2021, seen from the larger coefficient of determination and the smaller Mean Square Error (MSE). …”
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Flood Routing in Rivers Using Two-Dimensional HEC-RAS Software and its Comparison with the Non-Linear Muskingum Method by M. Amiri, E. Fazel Najafabadi, M. Shayannejad

“…The second category is hydrological methods like the non-linear Muskingum method. In this research, both methods have been used to determine the trends of flood hydrographs in the Plasjan River, one of the main tributaries of the Zayandehrud River. …”
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Multipath Estimation of Navigation Signals Based on Extended Kalman Filter–Genetic Algorithm Particle Filter Algorithm by Jie Li, Xiyan Sun, Yuanfa Ji, Jingjing Li, Long Li

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A precise method for compensating shape deviation of hot-pressed glass based on neural network algorithm optimization by Shengzhou Huang, Zhaowei Tian, Dongjie Wu, Jiani Pan, Bowen Ren, Yuanzhuo Tang

“…This study aims to enhance the accuracy of glass surface contour error in the hot-pressing manufacturing process using P-SK57 glass as a focus. …”
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