Stacked Ensemble Learning for Classification of Parkinson’s Disease Using Telemonitoring Vocal Features by Bolaji A. Omodunbi, David B. Olawade, Omosigho F. Awe, Afeez A. Soladoye, Nicholas Aderinto, Saak V. Ovsepian, Stergios Boussios

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Adaptive Res-LSTM Attention-based Remaining Useful Lifetime Prognosis of Rolling Bearings by Boubker Najdi, Mohammed Benbrahim, Mohammed Nabil Kabbaj

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Predicting adolescent psychopathology from early life factors: A machine learning tutorial by Faizaan Siddique, Brian K. Lee

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Harnessing artificial intelligence role in oral cancer diagnosis and prediction: A comprehensive exploration by Archana Behera, N. Aravindha Babu, Remya Rajan Renuka, Mukesh Kumar Dharmalingam Jothinathan

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Application of Bayesian Statistics in Analyzing and Predicting Carburizing-Induced Dimensional Changes in Torsion Bars by Guojin Sun, Zhenggui Li, Yanxiong Jiao, Qi Wang

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Inverse Design of Plasmonic Nanostructures Using Machine Learning for Optimized Prediction of Physical Parameters by Luana S. P. Maia, Darlan A. Barroso, Aêdo B. Silveira, Waleska F. Oliveira, André Galembeck, Carlos Alexandre R. Fernandes, Dayse G. C. Bandeira, Benoit Cluzel, Auzuir R. Alexandria, Glendo F. Guimarães

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Application of Support Vector Regression in Indonesian Stock Price Prediction with Feature Selection Using Particle Swarm Optimisation by Zuherman Rustam, Puteri Kintandani

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Exploration in association between vitamin D and cutaneous melanoma and explainable machine learning prediction by Lingyi Li, Man Luo

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Real-time monitoring of hydrogen composite pressure vessels using surface-applied distributed fiber optic sensors by Christos Karapanagiotis, Mathias Breithaupt, Eric Duffner, Marcus Schukar

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Prediction of GTAW penetration state based on enhanced knowledge of dynamic morphology molten pool by Yuxiang HONG, Xiangzhi XIE, Xingxing HE, Dong DU, Baohua CHANG

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Predicting patient risk of leaving without being seen using machine learning: a retrospective study in a single overcrowded emergency department by Arianna Scala, Teresa Angela Trunfio, Massimo Majolo, Michelangelo Chiacchio, Giuseppe Russo, Paolo Montuori, Giovanni Improta

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Predicting Solar Flares Using a Convolutional Neural Network with Extreme-ultraviolet Images by Yun Yang, Yi Wei Ni, P. F. Chen, Xue Shang Feng

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Effect of competing mortality risks on predictive performance of the QFracture-2012 risk prediction tool for major osteoporotic fracture and hip fracture: external validation cohor... by Bruce Guthrie, Peter Donnan, Megan McMinn, Daniel R Morales, Shona J Livingstone, Chima Eke

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1990—2021年中国归因于高LDL-C的卒中死亡负担变化趋势及预测分析 Trends and Predictive Analysis of the Burden of Stroke Deaths Attributable to High LDL-C in China from 1990 to 2021... by 张永庆1，2，李娜1，2，高伊丽1，2，秦佳文1，2，俞海萍1，2，赵婷婷3 (ZHANG Yongqing1,2, LI Na1,2, GAO Yili1,2, QIN Jiawen1,2, YU Haiping1,2, ZHAO Tingting3 )

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Self-Supervised Learning with Adaptive Frequency-Time Attention Transformer for Seizure Prediction and Classification by Yajin Huang, Yuncan Chen, Shimin Xu, Dongyan Wu, Xunyi Wu

“…Background: In deep learning-based epilepsy prediction and classification, enhancing the extraction of electroencephalogram (EEG) features is crucial for improving model accuracy. …”
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Predicting incident type 2 diabetes in a Japanese cohort: an 8-year analysis of the NAGALA database by Yangchun Wang, Fei Liu, Ruixiang Tong, Zhonghua He, Qin Fang, Jie Feng, Hongliang An, Junjun Liu

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Approaches to predicting life expectancy in elderly coronary artery disease patients with comorbid conditions by E. O. Asanov, G. P. Voinarovska, I. A. Dyba

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Comparison of cooperative learning through use of an immersive virtual reality anatomy model and a 3D plastic anatomical model by Shin-Yun Chen, Daniel Salcedo, Bu-Yuan Hsiao, Wen-Cheng Huang, Bor-Chyuan Su, Jiun-Lin Horng

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Machine learning based adaptive traffic prediction and control using edge impulse platform by Manoj Tolani, G. E. Saathwik, Ayush Roy, L. A. Ameeth, Dhanush Bharadwaj Rao, Ambar Bajpai, Arun Balodi

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Development and validation of a nomogram for predicting low Kt/Vurea in peritoneal dialysis patients by Danfeng Zhang, Tian Zhao, Liting Gao, Huan Zhu, Haowei Jin, Guiling Liu, Deguang Wang

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