Numerical and Experimental Study of Friction Damping Blade Attachments of Rotating Bladed Disks by D. Charleux, C. Gibert, F. Thouverez, J. Dupeux

“…In order to mitigate high cycle fatigue risks in bladed disks, the prediction of the vibration levels early in the design process is important. …”
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Impact of morphological traits and irrigation levels on fresh herbage yield of sorghum x sudangrass hybrid: Modelling data mining techniques. by Halit Tutar, Senol Celik, Hasan Er, Erdal Gönülal

“…For this purpose, Artificial Neural Networks (ANN), Automatic Linear Model (ALM), Random Forest (RF) Algorithm and Multivariate Adaptive Regression Spline (MARS) Algorithm were used, and the prediction performances of these methods were compared. …”
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The Observation Report of Red Blood Cell Morphology in Thailand Teenager by Using Data Mining Technique by Sarawut Saichanma, Sucha Chulsomlee, Nonthaya Thangrua, Pornsuri Pongsuchart, Duangmanee Sanmun

“…The average prediction of RBC morphology has true positive, false positive, precision, recall, and accuracy of 0.940, 0.050, 0.945, 0.940, and 0.943, respectively. …”
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A comparison of force adaptation in toddlers and adults during a drawer opening task by Laura Faßbender, Johannes Falck, Francisco M. López, Yee Lee Shing, Jochen Triesch, Gudrun Schwarzer

“…Participants opened a drawer with temporarily increased resistance, creating sensory prediction errors between predicted and actual drawer dynamics. …”
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An Automated Approach for Epilepsy Detection Based on Tunable Q-Wavelet and Firefly Feature Selection Algorithm by Ahmed I. Sharaf, Mohamed Abu El-Soud, Ibrahim M. El-Henawy

“…A random forest classifier is trained for the classification and prediction of the seizures and seizure-free signals. …”
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Quantification of Dynamic Excitation Potential of Pedestrian Population Crossing Footbridges by Stana Žcaronivanović, Aleksandar Pavić

“…Many current vibration serviceability design guidelines, concerned with prediction of the vibration in the vertical direction, estimate a single response level that corresponds to an "average" person crossing the bridge with the step frequency that matches a footbridge natural frequency. …”
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Generalizability of machine learning models for diabetes detection a study with nordic islet transplant and PIMA datasets by Dinesh Chellappan, Harikumar Rajaguru

“…The study explores the potential of machine learning for improved diabetes prediction using microarray gene expression data and PIMA data set. …”
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Simulation of Threshold UV Exposure Time for Vitamin D Synthesis in South Korea by Sang Seo Park, Yun Gon Lee, Migyoung Kim, Jaemin Kim, Ja-Ho Koo, Chang Ki Kim, Junshik Um, Jongmin Yoon

“…To improve the accuracy of the simulated exposure time, improved predictions of total ozone with a more detailed cloud treatment will be essential.…”
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Exploration of the Long Noncoding RNAs Involved in the Crosstalk between M2 Macrophages and Tumor Metabolism in Lung Cancer by Fang Fang, Yuanshan Yao, Zhe Ma

“…A high fit of actual survival and nomogram-predicted survival was found using the calibration plot. …”
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Where We Rate: The Impact of Urban Characteristics on Digital Reviews and Ratings by Özge Öztürk Hacar, Müslüm Hacar, Fatih Gülgen, Luca Pappalardo

“…The results indicate that pedestrian counts and residential density are key predictors for both metrics, while centrality measures improve the prediction of visitor scores but negatively impact review volume predictions. …”
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Assessing Driving Risk Level: Harnessing Deep Learning Hybrid Model With Intercity Bus Naturalistic Driving Data by Wei-Hsun Lee, Che-Yu Chang

“…Additionally, the high-risk level prediction F1-score reaches 0.728 for the proposed model, which is up to 9.3 times better than the performance of the machine learning baseline model. …”
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Rancang Bangun Aplikasi Berbasis Android untuk Perbaikan Kualitas Citra Tanaman Atas Perbedaan Spesifikasi Kamera Smartphone pada Prediksi Kandungan Pigmen Fotosintesis Secara Real... by Felix Adrian Tjokro Atmodjo, Kestrilia Rega Prilianti, Hendry Setiawan

“…This application predicts the pigment content in plant leaf by its digital images. …”
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Genomic strategies to facilitate breeding for increased β-Glucan content in oat (Avena sativa L.) by Sumandeep Kaur Bazzer, Guilherme Oliveira, Jason D. Fiedler, Raja Sekhar Nandety, Jean-Luc Jannink, Melanie Caffe

“…The use of USDA-SoyWheOatBar-3 K genotyping array data resulted in a similar level of prediction accuracy as did genotyping-by-sequencing data. …”
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Blood proteomics and multimodal risk profiling of human volunteers after incision injury: A translational study for advancing personalized pain management after surgery by Daniel Segelcke, Julia R. Sondermann, Christin Kappert, Bruno Pradier, Dennis Görlich, Manfred Fobker, Jan Vollert, Peter K. Zahn, Manuela Schmidt, Esther M. Pogatzki-Zahn

“…A significant number of patients develop chronic pain after surgery, but prediction of those who are at risk is currently not possible. …”
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Reservoir Characteristics and Its Comprehensive Evaluation of Gray Relational Analysis on the Western Sulige Gas Field, Ordos Basin, China by Xinping Liang, Qingbin Xie, Mingyu He, Quanyou Liu, Vladimir Morozov

“…Although the Sulige gas field has been developed for several years, accurate reservoir classification, evaluation, and prediction is still a worth-exploring scientific issue as this is a necessary procedure which could give the guidance of well deployment during later gas field development. …”
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Forecasting Rice Productivity and Production of Odisha, India, Using Autoregressive Integrated Moving Average Models by Rahul Tripathi, A. K. Nayak, R. Raja, Mohammad Shahid, Anjani Kumar, Sangita Mohanty, B. B. Panda, B. Lal, Priyanka Gautam

“…The performances of models were validated by comparing with percentage deviation from the actual values and mean absolute percent error (MAPE), which was found to be 0.61 and 2.99% for the area under rice in Odisha and India, respectively. Similarly for prediction of rice production and productivity in Odisha and India, the MAPE was found to be less than 6%.…”
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Unlocking watershed mysteries: Innovative regionalization of hydrological model parameters in data-scarce regions by Temesgen T. Mihret, Fasikaw A. Zemale, Abeyou W. Worqlul, Ayenew D. Ayalew, Nicola Fohrer

“…These findings highlight the effectiveness of the grid-based regionalization approach for accurate streamflow prediction in ungauged watersheds within the Upper Blue Nile Basin.…”
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A Comprehensive Machine Learning Approach for COVID-19 Target Discovery in the Small-Molecule Metabolome by Md. Shaheenur Islam Sumon, Md Sakib Abrar Hossain, Haya Al-Sulaiti, Hadi M. Yassine, Muhammad E. H. Chowdhury

“…This study leveraged nasopharyngeal metabolome data to predict respiratory virus scenarios including control vs. …”
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Seasonal Tree Height Dynamic Estimation Using Multi-source Remotely Sensed Data in Shenzhen by Hang Song, Xuemei Zhang, Ting Hu, Jinglei Liu, Bing Xu

“…It was found that (a) the seasonal tree height neural network demonstrated the highest prediction accuracy in tree height estimation (R2 = 0.72, mean absolute error = 1.89 m), and the optimization process of Shapley additive explanations reduced 23 features, which improved the prediction accuracy (R2 = 0.80, mean absolute error = 1.58 m) and saved computational resources; (b) the seasonal tree height neural network has a strong generalizability for estimating tree height across seasons and regions; and (c) during 2018 to 2023, tree heights in Shenzhen were mainly concentrated in 6 to 14 m, and the spatial distribution has a strong autocorrelation. …”
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Experimental investigation of the precursor characteristics and early warning of coal burst based on quantitative analysis of acoustic emission signals by Xiaoling Zhao, Zhiyi Liao, Xiufeng Zhang, Cong Shen, Jianbo Zhu

“…The findings in this study could facilitate accurate coal burst prediction.…”
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