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. …”
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Evaluating Label Encoding and Preprocessing Techniques for Breast Cancer Prediction Using Machine Learning Algorithms by Mukesh Kumar, Vivek Bhardwaj

“…The results show that out of all the ML techniques tested, the k-NN method gives the most accurate predictions, which is close to 94.00%.…”
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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

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

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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. …”
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Evaluating Explainable AI Methods in Deep Learning Models for Early Detection of Cerebral Palsy by Kimji N. Pellano, Inga Strumke, Daniel Groos, Lars Adde, Espen F. Alexander Ihlen

“…This paper tests the reliability and applicability of Explainable AI (XAI) methods using a deep learning method that predicts CP by analyzing skeletal data extracted from video recordings of infant movements. …”
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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

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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. …”
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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. …”
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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. …”
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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. …”
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Prediction of the thermophysical properties of Ag-reduced graphene oxide-water/ethylene-glycol hybrid nanofluids using different machine learning methods by Huaguang Li, Ali B.M. Ali, Rasha Abed Hussein, Narinderjit Singh Sawaran Singh, Barno Abdullaeva, Zubair Ahmad, Soheil Salahshour, Mohammadreza Baghoolizadeh, Mostafa Pirmoradian

“…This signifies that machine learning methods can be successfully employed for the prediction and optimization of hybrid nanofluid characteristics.…”
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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. …”
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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. …”
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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. …”
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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

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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

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Effects of Matching on Evaluation of Accuracy, Fairness, and Fairness Impossibility in AI-ML Systems by Phillip Honenberger, Omolade Ola, William Mapp, Pilhwa Lee

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Machine learning for predicting 5-year mortality risks: data from the ESSE-RF study in Primorsky Krai by V. A. Nevzorova, T. A. Brodskaya, K. I. Shakhgeldyan, B. I. Geltser, V. V. Kosterin, L. G. Priseko

“…To develop and perform comparative assessment of the accuracy of models for predicting 5-year mortality risks according to the Epidemiology of Cardiovascular Diseases and their Risk Factors in Regions of Russian Federation (ESSE-RF) study in Primorsky Krai.Material and methods. …”
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Evaluation of the clinical value of CCTA as the preferred screening method in patients with chronic coronary syndrome by Huan Luo, Wei Zhu, Rui-Juan Fan, Li-Xiong Duan, Rui Jing

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