Research on predicting the thermocompression deformation behavior of Mg–Li matrix composite using machine learning and traditional techniques by Dandan Li, Xiaoyu Hou, Yangfan Liu, Linhao Gu, Jinhui Wang, Jiaxuan Ma, Xiaoqiang Li, Zhi Jia, Qichi Le, Dexue Liu, Xincheng Yin

“…The flow stresses were predicted under various thermal operating conditions, and the performance of all models was assessed using root mean square error (RMSE), coefficient of determination (R2) and mean absolute error (MAE). …”
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GIS isolation switch contact temperature wireless monitoring by Liu Haoli, Li Jiaqi, Zhang Jiuye, Zhao Yubo, Zhang Jinhua, Wang Liang

“…In addition, the multi-point sensor on the casing has been optimized. Firstly, a finite element analysis model for the temperature field of the 500kV isolation switch chamber was established, analyzed the distribution of temperature field. …”
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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

“…Utilizing both stochastic analysis and matrix inequality processing, a sufficient condition is provided to guarantee that the constructed estimator satisfies the expected estimation performance, and the estimator gains are acquired by tackling an optimization issue constrained by some linear matrix inequalities. …”
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Analisis Sistim Manajemen Dokumentasi Keperawatan pada Poliklinik Gigi Rumah Sakit di Bukittinggi by Dewi Rosmalia, Rizanda Machmud, Haryadi Mangkuto

“…Data validation is done by triangulation, then performed the data analysis, data reduction, data display and conclusion. …”
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Modeling formamide denaturation of probe-target hybrids for improved microarray probe design in microbial diagnostics. by L Safak Yilmaz, Alexander Loy, Erik S Wright, Michael Wagner, Daniel R Noguera

“…Application of high-density microarrays to the diagnostic analysis of microbial communities is challenged by the optimization of oligonucleotide probe sensitivity and specificity, as it is generally unfeasible to experimentally test thousands of probes. …”
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The Design, Creation, Implementation, and Study of a New Dataset Suitable for Non-Intrusive Load Monitoring by Carlos Rodriguez-Navarro, Francisco Portillo, Francisco G. Montoya, Alfredo Alcayde

“…This study introduces several key contributions: (1) the development of five new converters with 13-digit timestamp support and harmonic inclusion, improving the data collection accuracy by up to 25%; (2) the implementation of an advanced disaggregation software, achieving a 10–15% increase in the F1-score for certain appliances; (3) a detailed analysis of harmonics’ impact on NILM, reducing the Mean Normalized Error in Assigned Power by up to 40%; and (4) the design of open-source measurement hardware to enhance reproducibility. …”
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Blind source separation and unmanned aerial vehicle classification using CNN with hybrid cross-channel and spatial attention module by Jiangong Ni, Zhigang Zhou

“…The experimental results indicate that the mean absolute error (MAE) of the original algorithm was 14.58%, while the MAE of the improved FastICA decreased by 10.31%, dropping to 4.27%. …”
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Transforming higher education with robotic process automation: enhancing efficiency, innovation, and student-centered learning by Vivek Bhardwaj, Mukesh Kumar

“…Case studies reveal common success factors, including significant time savings, error reduction, and improved satisfaction for both students and staff. …”
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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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Combining the Improved RGB Water-Filling Algorithm With Penumbra Removal Technique for Shadow Removal From Digitized Images by You-Chang Liu, Cheng-Ta Chuang

“…To overcome this, the proposed method combines the RGB water-filling algorithm with the penumbra removal technique that not only removes shadow boundaries but also reconstructs the underlying image background. A comparative analysis demonstrates that the proposed method significantly reduces the root mean squared error (RMSE) by 70% and the processing time by 99%, while achieving the highest peak signal-to-noise ratio (PSNR) and structural similarity index measure (SSIM), outperforming previous approaches for both soft and hard shadow removal.…”
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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

“…Both models have the same Mean Absolute Percentage Error (MAPE) value, which is 1.79% in the training process and 4.82% in the testing process.…”
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Histopathology Grading of Breast Cancer Using Visual Geometry Group Method by A. Santika Hyperastuty, Fachruddin Ari Setiawan, Dio Alif Pradana, Rahma Ajeng Puspitasari, Lailatul Inayah, Eko Winarti

“…Although histopathological image analysis is still the gold standard for evaluating malignancy, it is prone to inconsistencies and human error. …”
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A New Mathematical Model for Predicting the Surface Vibration Velocity on the Step Topography by Xu Wu, Qifeng Guo, Yunpeng Zhang

“…Based on the measured data, elevation amplification factor and clamping effect factor which influence blasting vibration velocity are put forward, and a new mathematical model considering the attenuation coefficient, the elevation amplification coefficient, and the clamping effect coefficient for predicting the blasting vibration velocity of the step topography is further improved. The regression analysis results show that the fitting coefficient of determination of the new prediction model is 0.8152 in horizontal and 0.8902 in vertical, respectively, and the prediction error is less than 20%, which is much better than other formulas. …”
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Increase of Ship Power Plants Gas-Air Cooler Efficiency by Dymo B.V., Voloshyn A.Y., Yepifanov A.E., Kuznetsov V.V.

“…The error in calculating of gas-air mixture temperature at the exit section of the gas-air cooler at 100 % load is 4.6 %. …”
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Evaluation of the biodiversity of arbuscular mycorrhizal fungi during regenerative succession in quarries by A. A. Kryukov, A. P. Yurkov, A. O. Gorbunova, T. R. Kudriashova, A. I. Gorenkova, Y. V. Kosulnikov, Y. V. Laktionov

“…An adapted and error-checked AMF genetic sequence database from NCBI was used as a reference. …”
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The Influence of Freeze–Thaw Process on the Dynamic Changes in Body Weight and Metal in Groundwater of Seasonal Frozen Lakes: Experimental Study and Model Simulation by Hui Zhang, Shengnan Zhao, Xiaohong Shi, Jinda Zhang, Zhimou Cui, Jingyi Wang

“…Based on a large amount of measured lake heavy metal data, MATLAB 2022b software is used to model data fitting and optimization identification, and wavelet analysis and 24 h sliding average method are used for verification analysis to describe the variation process of heavy metal concentration in ice water with depth and time. …”
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Research on Motion Transfer Method from Human Arm to Bionic Robot Arm Based on PSO-RF Algorithm by Yuanyuan Zheng, Hanqi Zhang, Gang Zheng, Yuanjian Hong, Zhonghua Wei, Peng Sun

“…Subsequently, the joint angles of the human arm were computed through geometric vector analysis. Although geometric vector analysis offers an initial estimation of joint angles, its deterministic framework is subject to error accumulation caused by the occlusion of reflective markers and kinematic singularities. …”
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NH4 Modelling with ARIMA and LSTM by Hanna Arini Parhusip, Suryasatriya Trihandaru, Johanes Dian Kurniawan

“…Despite its use, ARIMA's Root Mean Square Error (RMSE) performance was found lacking compared to more advanced methods. …”
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MATHEMATICAL MODEL OF DENGUE HEMORRHAGIC FEVER SPREAD WITH DIFFERENT LEVELS OF TRANSMISSION RISK by Faishal Farrel Herdicho, Nabil Azizul Hakim, Fatmawati Fatmawati, Cicik Alfiniyah, John Olajide Akanni

“…Key model parameters were estimated using DHF case data from East Java in 2018, employing a genetic algorithm (GA) to optimize the estimation process. The GA approach achieved a mean absolute percentage error (MAPE) of , ensuring high accuracy in parameter values. …”
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A fast and fully automated system for segmenting retinal blood vessels in fundus images by Alqassab Ans Ibrahim Mahameed, Luque-Nieto Miguel-Ángel

“…Manual segmentation is time-consuming and prone to human error, leading to inconsistent results. Additionally, existing automated methods often struggle with low-quality images or variations in illumination, hindering their effectiveness. …”
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