Comparative analysis of methods for predicting train-induced vibrations by Wei-Lun Hsu, Wei-Bin Chen, Meng-Ting Hsieh

“…The accuracy of these methods was determined by evaluating their predictions against in-situ measurements of ground vibration levels induced by passing trains. …”
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Methods for early prediction of lactation flow in Holstein heifers by Vesna Gantner, Klemen Potočnik, Krešimir Kuterovac, Ranko Gantner, Boris Antunović

“…Regarding the evaluation measures based on prediction error amount (eavg±eSD), the lowest average error of daily milk yield prediction (less than 0.005 kg/day), as well as of lactation milk yield prediction (less than 50 kg/lactation (T1 time-period subgroup) and less than 30 kg/lactation (T2 time-period subgroup)); were determined when Wood’s nonlinear prediction method were applied. …”
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Assessing computational methods of cis-regulatory module prediction. by Jing Su, Sarah A Teichmann, Thomas A Down

“…We also propose key considerations for the development and evaluation of future CRM-prediction methods.…”
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Application of Machine Learning Methods for Gravity Anomaly Prediction by Katima Zhanakulova, Bakhberde Adebiyet, Elmira Orynbassarova, Ainur Yerzhankyzy, Khaini-Kamal Kassymkanova, Roza Abdykalykova, Maksat Zakariya

“…Obtaining accurate gravity data is challenging, particularly in inaccessible or sparsely covered regions. This study evaluates machine learning (ML) methods—Support Vector Regression (SVR), Gaussian Process Regression (GPR), and Ensemble of Trees—for predicting gravity anomalies in southeastern Kazakhstan and compares their effectiveness with traditional Kriging interpolation. …”
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Factors, markers, diagnostic methods, and prediction of pregnancy loss by P. A. Koshulko, A. M. Kirsanova-Martynova, V. A. Buchnev, E. V. Ignatova, S. S. Kupriyanov, E. S. Melnikov, P. A. Solodov, A. M. Dorogova, G. D. Bagirova, A. V. Zubkov, A. D. Kolyvanova, E. A. Zubareva, A. D. Senatskaya

“…Aim. To evaluate the risk factors associated with pregnancy loss in the studied cohort; to establish the clinical relevance of leukocyte-derived proteolytic enzymes as biomarkers of pregnancy loss; to develop a diagnostic and prognostic approach for early detection of pregnancy loss.Materials and methods. …”
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Prediction of Rheological Parameters of Polymers by Machine Learning Methods by T. N. Kondratieva, A. S. Chepurnenko

“…The objective of the research was to develop a predictive model for evaluating the rheological parameters of polymers using artificial intelligence methods by the example of polyvinyl chloride.Materials and Methods. …”
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An approach for predicting landslide susceptibility and evaluating predisposing factors by Wanxin Guo, Jian Ye, Chengbing Liu, Yijie Lv, Qiuyu Zeng, Xin Huang

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Evaluating predictability limits of North American winter precipitation by Joseph P. Clark, Nathaniel C. Johnson

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Evaluation of grafting compatibility and prediction modelling in Sapindus mukorossi by Lixian Wang, Yangmei Liao, Na Chen, Liming Jia, Zhong Chen

“…The study utilizes 15 Sapindus grafting combinations as research materials, assesses their survival rates and growth conditions, employs the CRITIC method to calculate weights, and develops a Sapindus grafting compatibility evaluation model. …”
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Level of Service Evaluation Method for Waterway Intersections by Yihua Liu, Xin Guo, Fei Lin, Nian Liu, Daiheng Ni

“…Consequently, this methodology not only enables transportation authorities to evaluate the effectiveness of traffic management strategies, such as route planning and traffic organization, but also helps predict the impact of potential improvement countermeasures.…”
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New Predictive Diagnostic Method for Cardiac Dynamics Based on Probability Distributions by Javier Rodríguez Velásquez, Leonardo Juan Ramírez López, Sofia García Torres

“…<b>Background/Objectives:</b> Probability theory and dynamic systems have enabled the development of diagnostic support tools that simplify Holter evaluation. <b>Method:</b> A study was conducted on 80 Holter tests over 21 h with patients over 21 years old. …”
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Predicting Clinician Fixations on Glaucoma OCT Reports via CNN-Based Saliency Prediction Methods by Mingyang Zang, Pooja Mukund, Britney Forsyth, Andrew F. Laine, Kaveri A. Thakoor

“…<italic>Goal:</italic> To predict physician fixations specifically on ophthalmology optical coherence tomography (OCT) reports from eye tracking data using CNN based saliency prediction methods in order to aid in the education of ophthalmologists and ophthalmologists-in-training. …”
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Fabric Tactile Prediction Method Based on Spider Diagram by Ruifeng Xie, Shuyang Ding, Zeyu Cheng, Luowei Ma, Yanzhu Yang

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Analysis of key geological structures and rockburst prediction method by Chunchi Ma, Yang Yuan, Xiang Ji, Feng Peng, Ziquan Chen, Hang Zhang

“…Abstract Rockburst disasters generally occur within specific geological structures. Consequently, predicting and evaluating the potential rockbursts necessitates more focuses on the “geological carrier”. …”
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New method for predicting endogenous intoxication in patients with peritonitis by A. P. Vlasov, P. P. Zaitsev, P. A. Vlasov, E. I. Polozova, V. A. Bolotskikh, T. I. Vlasova, V. V. Vasil’Ev

“…The authors developed the integral criterion of prediction of endogenous intoxication in acute peritonitis based on evaluation of homeostatic disorders in blood plasma. …”
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A method for explaining individual predictions in neural networks by Sejong Oh

“…The proposed method effectively explains the predictions made by the neural network and is independent of the depth of the hidden layers and the number of nodes in each hidden layer. …”
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Method and application of stability prediction model for rock slope by Yun Qi, Chenhao Bai, Xuping Li, Hongfei Duan, Wei Wang, Qingjie Qi

“…The stability of the model was assessed using a ten fold cross validation method, while the prediction results were comprehensively evaluated utilizing metrics including accuracy (Acc), precision (Pre), recall (Rec), F1 score (Fs), and Cohen’s Kappa coefficient (Ka). …”
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Evaluation of the Possibility of Using Fuzzy C-Means Clustering, AMMI Analysis and GGE Biplot Methods to Predict the Yield of Chickpea Genotypes Cultivated in Different Environments by Murat Tunc, Süreyya Betül Rufaioglu, Sibel Ipekesen, Murat Yakar, Levent Yorulmaz, Behiye Tuba Bicer

“…The purpose of this study was to evaluate the potential of using fuzzy C-means clustering, AMMI and GGE biplot analysis methods to predict the yield of chickpea (<i>Cicer arietinum</i> L.) genotypes grown in various environments. …”
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<p><strong>Evaluation of geostatistical method and hybrid artificial neural network with imperialist competitive algorithm for predicting distribution pattern of <em>Tetranychus</em> <em>urticae</em> (Acari: Tetranychidae) in cucumber field of Behbahan, Iran</strong></p> by Alireza Shabaninejad, Bahram Tafaghodinia, Nooshin Zandi-Sohani

“…In Geostatistics methods ordinary kriging, and ANN with imperialist competitive algorithm were evaluated. …”
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Sweet-spot prediction about coalbed methane development in the areas with complex hydrogeological conditions by Yafei ZHANG, Fengfeng DU, Zhiyu DENG, Baojiang DUAN, Dong HAN

“…The multi-level fuzzy comprehensive evaluation method is applied to predict the sweet spot of coalbed methane development. …”
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