Impact of different genomic relationship matrix construction methods on the accuracy of genomic prediction in different species by Shiyi Wang, Yingjia Wei, Dengying Liu, Xiangzhe Zhang, Qishan Wang, Yuchun Pan, Peipei Ma

“…Although various methods for G-matrix construction have been proposed, the performance of these methods across different species has not been thoroughly compared.MethodsThis study systematically evaluated the performance of six genomic relationship matrix (G-matrix) construction methods in improving the prediction accuracy of GBLUP models across four species: pigs, bulls, wheat, and mice. …”
Get full text

Prediction of additional hospital days in patients undergoing cervical spine surgery with machine learning methods by Bin Zhang, Shengsheng Huang, Chenxing Zhou, Jichong Zhu, Tianyou Chen, Sitan Feng, Chengqian Huang, Zequn Wang, Shaofeng Wu, Chong Liu, Xinli Zhan

“…The research aims to develop an ML-based nomogram model analyzing clinical and demographic factors to estimate hospital length of stay (LOS). Accurate AHD predictions enable efficient resource allocation, improved patient care, and potential cost reduction in healthcare.Methods The study selected CS patients undergoing cervical spine surgery and investigated their medical data. …”
Get full text

Optimizing and Evaluation of Scour Depth Prediction Techniques for Columns as a Component of Complex Bridge Piers by Ata Amini, Thamer Mahmmod, Abdul Ghazali

Get full text

Prediction and evaluation of environmental quality for nursing sow buildings via multisource sensor information fusion by Chong Chen, Xingqiao Liu, Chaoji Liu, Chengyang Yu

“…Given that the environment within sow buildings comprises numerous interrelated factors, predicting and evaluating environmental comfort presents significant challenges. …”
Get full text

Evaluation the efficiency of using Artificial Neural Networks in predicting meteorological droughts in north-west of Iran by Arash malekian, mahro dehbozorgi, Amir hoshang ehsani

Get full text

A Starved Lubrication Model: Applications to Evaluate Gear Mesh and Response Prediction of Material Plasticity by Zhiyong Wang, Qingbing Dong, Bo Zhao

Get full text

Evaluation on the Quasi‐Realistic Ionospheric Prediction Using an Ensemble Kalman Filter Data Assimilation Algorithm by Jianhui He, Xinan Yue, Huijun Le, Zhipeng Ren, Weixing Wan

“…Abstract In this work, we evaluated the quasi‐realistic ionosphere forecasting capability by an ensemble Kalman filter (EnKF) ionosphere and thermosphere data assimilation algorithm. …”
Get full text

An evaluation of multi-fidelity methods for quantifying uncertainty in projections of ice-sheet mass change by J. D. Jakeman, M. Perego, D. T. Seidl, T. A. Hartland, T. R. Hillebrand, M. J. Hoffman, S. F. Price

Get full text

Methods for Chin Area Augmentation: Efficacy Evaluation and Prospects for Using Subplatysmal Fat Autograft by Anastasiya S. Borisenko, Valentin I. Sharobaro, Alexey E. Avdeev, Nigora S. Burkhonova, Yousif M. Ahmed Alsheikh, Igor V. Cherkesov

“…<b>Objective:</b> In this study, we analyzed the existing chin augmentation methods and evaluated the effectiveness of using a subplatysmal fat autograft for augmenting insufficient chin projection. …”
Get full text

Comparative Evaluation of Traditional Methods and Deep Learning for Brain Glioma Imaging. Review Paper by Kiranmayee Janardhan, Vinay Martin D’Sa Prabhu, T. Christy Bobby

“…The adoption of these methods by radiologists depends on ease of use and supervision, with semi-automatic techniques preferred due to the need for accurate evaluations. …”
Get full text

A Comprehensive Evaluation of Monocular Depth Estimation Methods in Low-Altitude Forest Environment by Jiwen Jia, Junhua Kang, Lin Chen, Xiang Gao, Borui Zhang, Guijun Yang

“…This paper presents a comprehensive evaluation of state-of-the-art deep learning-based MDE methods on low-altitude forest datasets. …”
Get full text

Methods to Quantitatively Evaluate the Effect of Shale Gas Fracturing Stimulation Based on Least Squares by DENG Cai, SUN Kexin, WEN Huan, HU Chaolang

“…This study develops a comprehensive, physics-based quantitative model to accurately evaluate the effectiveness of fracturing stimulation, enabling data-driven optimization of shale gas extraction processes.MethodsThis study established a novel quantitative evaluation model based on principles of fluid mechanics and mathematical optimization theory. …”
Get full text

Evaluating Predictive Accuracy of Regression Models with First-Order Autoregressive Disturbances: A Comparative Approach Using Artificial Neural Networks and Classical Estimators by Rauf I. Rauf, Masad A. Alrasheedi, Rasheedah Sadiq, Abdulrahman M. A. Aldawsari

“…The study evaluates each method’s performance on three datasets characterized by autocorrelation, comparing their predictive accuracy and variability. …”
Get full text

A Ship Underwater Radiated Noise Prediction Method Based on Semi-Supervised Ensemble Learning by Xin Huang, Rongwu Xu, Ruibiao Li

“…Accurate prediction of ship underwater radiated noise (URN) during navigation is critical for evaluating acoustic stealth performance and analyzing detection risks. …”
Get full text

EnsembleNPPred: A Robust Approach to Neuropeptide Prediction and Recognition Using Ensemble Machine Learning and Deep Learning Methods by Supatcha Lertampaiporn, Warin Wattanapornprom, Chinae Thammarongtham, Apiradee Hongsthong

“…When evaluated on independent datasets, EnsembleNPPred demonstrated consistently competitive performance, achieving improvements in both accuracy and sensitivity-specificity balance compared to several existing methods. …”
Get full text

Clinical evaluation of a multiplex droplet digital PCR for diagnosing suspected bloodstream infections: a prospective study by Yaqin Peng, Ruijie Xie, Yifeng Luo, Yifeng Luo, Yifeng Luo, Penghao Guo, Zhongwen Wu, Yili Chen, Pingjuan Liu, Jiankai Deng, Bin Huang, Kang Liao

“…The results of ddPCR testing were evaluated in comparison with blood cultures (BCs) and clinical diagnosis. …”
Get full text

Quantum Computing Approach in K-Medoids Method for AIDS Disease Prediction Using Manhattan Distance by Mochamad Wahyudi, Imeldi Sintagel br Sianipar, Lise Pujiastuti, Solikhun Solikhun, Deny Kurniawan

“…This study uses the K-Medoids method with a quantum computing approach to predict AIDS based on clinical and demographic data. …”
Get full text

TKEO-Enhanced Machine Learning for Classification of Bearing Faults in Predictive Maintenance by Xuanbai Yu, Olivier Caspary

“…This study investigates the application of machine learning in predictive maintenance, specifically emphasizing data preprocessing and classification techniques using the Teager–Kaiser Energy Operator (TKEO) method, which captures dynamic variation in signals. …”
Get full text

Review of Image Processing Methods for Surface and Tool Condition Assessments in Machining by Ali Ercetin, Oguzhan Der, Fatih Akkoyun, Manjunath Patel Gowdru Chandrashekarappa, Ramazan Şener, Mücahit Çalışan, Nevzat Olgun, Ganesh Chate, Kurki Nagaraja Bharath

Get full text

Construction of time series prediction and dynamic evaluation model for environmental factors in pregnant sow houses in winter by Xuehan Li, Jia Shen, Xiaoping Yang, Pengcheng Nie, Yiming Li, Zhe Li, Yawen Tan, Ziyi Li

Get full text