Inferring the source of transmission with phylogenetic data. by Erik M Volz, Simon D W Frost

“…Identifying the source of transmission using pathogen genetic data is complicated by numerous biological, immunological, and behavioral factors. A large source of error arises when there is incomplete or sparse sampling of cases. …”
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Improving dependability with low power fault detection model for skinny-hash. by Sonal Arvind Barge, Gerardine Immaculate Mary

“…The increasing popularity and prevalence of Internet of Things (IoT) applications have led to the widespread use of IoT devices. …”
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Denoising of Images using Wavelet Transform by M. Koteswara Rao, G. Chandra Reddy, K. V. Rama Rao

“…Performance is benchmarked against SCAD, Soft thresholding, and Wiener filter methods using Root Mean Square Error (RMSE) and Peak Signal-to-Noise Ratio (PSNR) metrics. …”
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A Novel Framework for Solar Irradiance Prediction Integrating Signal Decomposition With Hybrid Time-Series Models by Keng-Hsi Lin, Po-Yen Hsu, Po-Han Chen, Mu-Yen Chen

“…Among all configurations, the EEMD–Transformer–GRU model achieved the best performance, with a MAPE of 7.87%, reducing prediction error by approximately 57% compared to non-decomposed models. …”
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Combining UAV Remote Sensing with Ensemble Learning to Monitor Leaf Nitrogen Content in Custard Apple (<i>Annona squamosa</i> L.) by Xiangtai Jiang, Lutao Gao, Xingang Xu, Wenbiao Wu, Guijun Yang, Yang Meng, Haikuan Feng, Yafeng Li, Hanyu Xue, Tianen Chen

“…With a root mean square error (RMSE) of 0.059 and a mean absolute error (MAE) of 0.193, the coefficient of determination (R²) came to 0. 661. …”
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Feature-adaptive anomaly detection model for onion inspection system by Ziwei Song, Prawit Buayai, Koji Makino, Xiaoyang Mao

“…Traditional industrial onion inspection relies heavily on manual labor, making it both time-consuming and prone to human error. We propose a novel automated onion inspection system comprising a Vision-Based Inspection Module (VBIM) for detecting defective onions and a Defective Onion Filtering Module (DOFM) for their physical removal. …”
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Investigation of cyclic behavior of steel–concrete composite coupling beams with axial rib corrugated webs by Yue Liu, FeiFei Sun, LianHong Jiao, HongKe Pan, DeFeng Xu

“…Additionally, the proposed shear capacity calculation method is highly applicable, with an error margin within 10%.…”
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Evaluation and comparison of semi-empirical and numerical methods in predicting wave characteristics in the South Caspian Sea by zahra hajebi, adel amouzegar, Seyed Taghi Omid Naeeni

“…The error of the semi-empirical method is about twice than the numerical method. …”
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Channel Modeling and Performance Analysis of Modulating Retroreflector FSO Systems Under Weak Turbulence Conditions by Guowei Yang, Zhipeng Li, Meihua Bi, Xuefang Zhou, Ran Zeng, Tianshu Wang, Jing Li

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Reduced-order modeling of lattice structures through iterative beam fitting and static mesoscale projection by Nicolas Grünfelder, Manmit Padhy, Alaa Armiti-Juber, Seyed Morteza Seyedpour, Navina Waschinsky, Tim Ricken

“…This reduction in model complexity is accompanied by a local fitting process of the individual unit cells, also referred to as the mesoscale, that mitigates the errors typically introduced by the simplified beam representation. …”
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On-demand droplet formation at a T-junction: modelling and validation by Hongyu Zhao, William Mills, Andrew Glidle, Peng Liang, Bei Li, Jonathan M. Cooper, Huabing Yin

“…Abstract Droplet microfluidics have found increasing applications across many fields. While droplet generation at a T-junction is a common method, its reliance on trial-and-error operation imposes undesirable constraints on its performance and applicability. …”
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A Gradient-Based Recurrent Neural Network for Visual Servoing of Robot Manipulators with Acceleration Command by Zhiguan Huang, Zhengtai Xie, Long Jin, Yuhe Li

“…Recent decades have witnessed the rapid evolution of robotic applications and their expansion into a variety of spheres with remarkable achievements. …”
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Research on Kinematic Calibration and Trajectory Tracking of the Dual-Robot Collaborative Grinding and Polishing System by Wenduan Yan, Luwei Xu, Yifang Sun, Hongjie Xu, Zhifei Ji

“…An experimental platform integrating dual EPSON C4-series robots with grinding devices, clamping fixtures, and drive systems was established. The average error below 8 mm from 10 repeated experiments fully validates the accuracy and practical applicability of the integrated calibration method.…”
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AN ADAPTED ANALYTICAL SOLUTION TO THE MULHOLLAND EQUATION: MODIFIED DIRECT ITERATION PROCEDURE by Sabrina Sultana, B M Ikramul Haque, M. M. Ayub Hossain

“…Moreover, the fourth approximated frequency exhibited only a 0.022 percentage error. The suggested method can be widely applied to different engineering issues, while it is primarily demonstrated in nonlinear models with strong nonlinear factors.…”
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Two-hop distance estimation in wireless sensor networks by Sunyong Kim, Sun Young Park, Daehoon Kwon, Jaehyun Ham, Young-Bae Ko, Hyuk Lim

“…Numerical simulation results show that in comparison with other existing distance estimation methods, the proposed method significantly reduces the distance estimation error over a wide range of node densities.…”
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High-Performance Twisted Nylon Actuators for Soft Robots by Jin Sun, Shijing Zhang, Jie Deng, Jing Li, Dong Zhou, Dehong Wang, Junkao Liu, Weishan Chen, Yingxiang Liu

“…We have adopted TNAs for several applications: (a) two bionic elbows capable of rotating and shooting a miniature basketball over 130 cm; (b) a robot that can rapidly jump over 30 cm; and (c) a soft finger that achieves contracting (15.3% contraction under 2 kg load), precise bending (tracking errors less than 2.0%), and twisting motions. …”
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Nonlinearities Estimation in Optical Fiber Communication: Current Progress, Challenges and Perspectives by Zulfiqar Ahmad, Muhammad Ali Qureshi, Asjad Amin

“…These nonlinearities have a significant impact on optical performance (i.e., bit error rate, optical signal-to-noise-ratio, Q-factor) and capacity by limiting the data rates. …”
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Enhanced Single-Diode Solar Cell Model: Analytical Solutions Using Lambert W Function and Circuit Innovations by Martin Calasan, Snezana Vujosevic, Kristina Bakic

“…Results demonstrated the models&#x2019; accuracy and robustness, with Root Mean Square Error (RMSE) analysis showing superior alignment between simulated and experimental I-V curves compared to existing single-, double-, and triple-diode solar cell models from the literature. …”
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Identification of Some Variables Affecting the Granting of The Fundamentals of Computer and Internet Certificate (IC3) by Marwan Dabdoub, Ahmed Esmaeel

“…These procedures include: forward selection, backward elimination, stepwise regression and all possible procedures depending on certain comparison measures, which include mean square error MSe, and Mallows-Cp Statistics.<br /> It was clear that the best model which non-presence of the constant b₀, and involves the variables: the score of computer basics examination, the examinee's sex, the specialization of the examinee and degree to be obtained through study.…”
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Disordered-guiding photonic chip enabled high-dimensional light field detection by Zhijuan Gu, Weilun Zhang, Yu Yu, Xinliang Zhang

“…Experimentally, the accurate detection of broad spectrum with mixed full-Stokes polarization states is realized with a polarization error of 1.2° and spectral resolution as high as 400 pm. …”
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