Effective least squares approximation method for estimating the rhythm function of cyclic random process by Serhii Lupenko, Małgorzata Wiatr, Andrzej Metelski

“…Analytical dependencies between errors of estimation of a discrete rhythm function and errors of segmentation of a cyclic random process into cycles and zones were constructed. …”
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Systematic metronidazole adsorption performance onto montmorillonite clay: Parametric study, process modelling and RSM optimisation by Jean Paul Nongni Tejeogue, Raphael Djakba, Cyrille Ghislain Fotsop, Narcisse Dobe, Sali Mouhamadou, Bagamla Wangmene, Massai Harouna

“…The rate of the reaction and mechanism was verified through linear and nonlinear isotherms, kinetics and statistical error analysis. Characterization of material have shown that it is a montmorillonite mineral clay with a specific surface area of 51.73 m2/g according to BET method. …”
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Genomic Prediction of Milk Fat Percentage Among Crossbred Cattle in the Indian Subcontinent by Raghavendran Vadivel Balasubramanian, Murali Nagarajan, Marimuthu Swaminathan, Raja Angamuthu, Muralidharan Jaganadhan, Saravanan Ramasamy, Malarmathi Muthusamy, Thiruvenkadan Aranganoor Kannan, Sunday Olusola Peters

“…The study revealed that the additive genetic variance, phenotypic variance, and error variance were calculated as 0.012, 0.118, and 0.106, respectively. …”
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Medium and short-term load forecasting based on NPMA-LSSVM algorithm in the case of unbalance and minority sample data by YANG Qiuyu, KUANG Shusen, ZHENG Xiaogang, YE Guoqi, ZHANG Zhongxin

“…In order to eliminate the features with repeated information, principal component analysis (PCA) is used to extract the main features of power load. …”
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Grapevine inflorescence segmentation and flower estimation based on Computer Vision techniques for early yield assessment by Germano Moreira, Filipe Neves dos Santos, Mário Cunha

“…The models demonstrated a strong correlation (R2 > 90.0%) between detected and visible flowers in inflorescences. A statistical analysis confirmed the robustness of the framework, with the YOLOv8 model once again standing out, showing no significant differences in error rates across diverse grapevine morphologies and varieties, ensuring wide applicability. …”
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3D Reconstruction and Deformation Detection of Rescue Shaft Based on RGB-D Camera by Hairong Gu, Bokai Liu, Lishun Sun, Mostak Ahamed, Jia Luo

“…A hybrid Iterative Closest Point-Perspective n Point (ICP-PNP) algorithm ensures precise camera pose estimation, and motion errors between adjacent frames are minimized to optimize the 3D point cloud. …”
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Neural-enhanced motion-to-EMG: refining simulated muscle activity from musculoskeletal models using a Seq2Seq approach by Tatsuya Teramae, Takamitsu Matsubara, Takamitsu Matsubara, Tomoyuki Noda, Jun Morimoto, Jun Morimoto

“…Previous efforts to optimize the parameters in musculoskeletal model simulators have yielded limited improvements in estimation accuracy. …”
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Detection of Photovoltaic Arrays in High-Spatial-Resolution Remote Sensing Images Using a Weight-Adaptive YOLO Model by Zhumao Lu, Xiaokai Meng, Jinsong Li, Hua Yu, Shuai Wang, Zeng Qu, Jiayun Wang

“…Notably, the false detection rate in low-resolution (<5 m) panchromatic imagery is significantly reduced. Comparative analysis reveals that the optimized model reduces the error rate for small object detection in black-and-white imagery and complex scenarios by 19.8% compared to the baseline model. …”
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Integrating experimental and theoretical investigations of porous graphite materials with scanning electron microscope image processing by Muhammad Punhal Sahto, Wang Wei, Muhammad Fawad Jamil, Awais Mehmood, Mariyam Sattar, Asif Raza, Mujib Ur Rahman, Mumtaz A. Qaisrani

“…The findings emphasize the importance of optimizing image size and clarity for accurate PGM analysis, providing crucial insights for PAB design and other advanced applications.…”
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Compact H-Plane CLAF-SIW Horn Antenna With Phase Front Correction by Andres Biedma-Perez, Cleofas Segura-Gomez, Angel Palomares-Caballero, Pablo Padilla

“…By tuning the distribution of the unit cells of the metalens, it is possible to reduce phase errors at the aperture, a common issue in horn antennas. …”
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Enhancing Performance and Quality of Transmission Through Knowledge-Driven Machine Learning-Based FWM Mitigation by Sudha Sakthivel, Muhammad Mansoor Alam, Aznida Abu Bakar Sajak, Mazliham Mohd Su'ud, Mohammad Riyaz Belgaum

“…The accuracy of the proposed SMR-DWDM system is confirmed by validating it with various FWM mitigating factors monitored by Optical Spectrum Analyzer (OSA) and Bit Error Rate (BER) analyzers. Through parametric analysis and supervised multilevel regression, the system achieves high precision and accurately predicts QoT by over 80%, and improves 25% of the QoT enhancement compared with traditional methods, proving its effectiveness in managing fiber nonlinearities.…”
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Multi-Hop Relay Based Free Space Optical Communication Link for Delivering Medical Services in Remote Areas by Rajan Miglani, Jagjit Singh Malhotra, Arun K. Majumdar, Faisel Tubbal, Raad Raad

“…Furthermore, compared to results from recent literature on high-speed FSO [30], the proposed link shows enhancement in link range by approximately 0.7 km. The analysis also reveals that as the number of relay nodes increases, the error performance of the link for different atmospheric conditions approaches a state of convergence.…”
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A comparative study on trajectory tracking control methods for automated vehicles by Dequan Zeng, Shicong Pan, Yinquan Yu, Yiming Hu, Jinwen Yang, Peizhi Zhang, Lu Xiong, Giuseppe Carbone, Letian Gao

“…Finally, a lateral control method based on nonlinear integral sliding mode control (NISMC) is developed, which realizes zero steady-state error by substituting saturation function for symbolic function and introducing integral action. …”
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Adaptive control strategies for button motor actuated insect scale flapping wing MAV mechanisms by Spoorthi Singh, Meet Hitesh Jain, Kanishk Kaushal, Mohammad Zuber, Ernnie Illyani Basri, Kamarul Arifin Ahmad, Sharul Sham Dol, Vishnu G. Nair

“…Performance metrics such as rise time, settling time, overshoot, and integral absolute error (IAE) demonstrate the superior efficiency and disturbance rejection capabilities of SRFFC compared to FPID. …”
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Monitoring multiyear cropping patterns in the arid regions of northwestern China from 2005 to 2022 using Landsat time-series data by Yongquan Lu, Guilin Liu, Xiuyuan Zhang, Jingwen Wang, Weijia Chen, Yuecheng Li, Desheng Jiang

“…The average margin of error in area estimation for cropping patterns was 16.48%. …”
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A Hierarchical RF-XGBoost Model for Short-Cycle Agricultural Product Sales Forecasting by Jiawen Li, Binfan Lin, Peixian Wang, Yanmei Chen, Xianxian Zeng, Xin Liu, Rongjun Chen

“…Such performances reveal that the proposed model beneficially enhances the precision of short-term agricultural product sales forecasting, with the advantages of optimizing the supply chain from producers to consumers and minimizing food waste accordingly.…”
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High throughput assessment of blueberry fruit internal bruising using deep learning models by Chenjiao Tan, Changying Li, Penelope Perkins-Veazie, Heeduk Oh, Rui Xu, Massimo Iorizzo

“…The correlation between the bruising ratio and ground truth was 0.69 with a mean absolute percentage error (MAPE) of 15.87%. Moreover, analysis of bruising ratios of different cultivars revealed significant variability in bruising susceptibility and the mean bruising ratio of 0.22 could be an index to differentiate the bruise-resistant and bruise-susceptible cultivars. …”
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The Prevalence and Risk Factors of Hyperkalemia in the Outpatient Setting by Chadapa Sevamontree, Supreeya Jintajirapan, Pran Phakdeekitcharoen, Bunyong Phakdeekitcharoen

“…Hyperkalemia was determined as SK ≥5.8 mmol/L without hemolysis or technical error. Clinical data and laboratory tests were collected for analysis of risk factors. …”
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Improving resilience of energy nexus across demand sectors: Strengthening cybersecurity in water cycle and energy networks through data reconstruction using a novel hybrid reinforc... by Daryoush Tavangar Rizi, Mohammad Hassan Nazari, Seyed Hossein Hosseinian

“…Implementing the proposed correction method reduces the mean absolute percentage error (MAPE) to 2.3884 % for thermal demands and 5.0803 % for water demands, showcasing its efficacy in stabilizing the demand chain. …”
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Is there a competitive advantage to using multivariate statistical or machine learning methods over the Bross formula in the hdPS framework for bias and variance estimation? by Mohammad Ehsanul Karim, Yang Lei

“…<h4>Purpose</h4>We aim to evaluate various proxy selection methods within the context of high-dimensional propensity score (hdPS) analysis. This study aimed to systematically evaluate and compare the performance of traditional statistical methods and machine learning approaches within the hdPS framework, focusing on key metrics such as bias, standard error (SE), and coverage, under various exposure and outcome prevalence scenarios.…”
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