Machine learning-based prediction of Sasang constitution types using comprehensive clinical information and identification of key features for diagnosis by Sa-Yoon Park, Musun Park, Won-Yung Lee, Choong-Yeol Lee, Ji-Hwan Kim, Siwoo Lee, Chang-Eop Kim

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LocPro: A deep learning-based prediction of protein subcellular localization for promoting multi-directional pharmaceutical research by Yintao Zhang, Lingyan Zheng, Nanxin You, Wei Hu, Wanghao Jiang, Mingkun Lu, Hangwei Xu, Haibin Dai, Tingting Fu, Ying Zhou

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Multicenter validation of a machine learning model to predict intensive care unit readmission within 48 hours after dischargeResearch in context by Leerang Lim, Mincheol Kim, Kyungjae Cho, Dongjoon Yoo, Dayeon Sim, Ho Geol Ryu, Hyung-Chul Lee

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Predicting Endpoint Temperature of Molten Steel in VD Furnace Refining Process Using Metallurgical Mechanism and Bayesian Optimization XGBoost by Ji XU, Zicheng XIN, Mo LAN, Wenhui LIN, Bo ZHANG, Qing LIU

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Hybrid and optimized neural network models to estimate the elastic modulus of recycled aggregate concrete by Mingke Zheng, Jinzhao Yin, Lei Zhang, Lihua Wu, Hao Liu

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Construction and validation of a nomogram model for predicting rebleeding in high-risk peptic ulcer bleeding patients based on lasso regression: A single center retrospective resea... by Qingrong Chen, Xuefeng Chen, Rongna You, Huaxin Huang

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Grape vine (Vitis vinifera) yield prediction using optimized weighted ensemble machine learning approach by Nobin Chandra Paul, Pratapsingh S. Khapte, Navyasree Ponnaganti, Sushil S. Changan, Sangram B. Chavan, K. Ravi Kumar, Dhananjay D. Nangare, K. Sammi Reddy

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ToxiPep: Peptide toxicity prediction via fusion of context-aware representation and atomic-level graph by Jiahui Guan, Peilin Xie, Dian Meng, Lantian Yao, Dan Yu, Ying-Chih Chiang, Tzong-Yi Lee, Junwen Wang

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Prediction of suitable habitat for tundra swans in the Nanji wetland Nature Reserve of Poyang Lake under different water level conditions by Tianwei Fang, Jin Jin, Chao Chen, Li Zhang, Yankuo Li, Chaoyang Li

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The landscape of immunogenic cell death-related genes predicts the overall survival and immune infiltration status of non-small-cell lung carcinoma by Jian Zhang, Huiying Li, Xi Zhang, Yue Yang, Yue Sun

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Dem-driven investigation and AutoML-Enhanced prediction of Macroscopic behavior in cementitious composites with Variable frictional parameters by Vahid Shafaie, Majid Movahedi Rad

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Evaluating Remote Sensing Resolutions and Machine Learning Methods for Biomass Yield Prediction in Northern Great Plains Pastures by Srinivasagan N. Subhashree, C. Igathinathane, John Hendrickson, David Archer, Mark Liebig, Jonathan Halvorson, Scott Kronberg, David Toledo, Kevin Sedivec

“…The top-ranked features (52 tested) from recursive feature elimination (RFE) were short-wave infrared 2, normalized difference moisture index, and average turf soil temperature in the machine learning (ML) model developed. The random forest (RF) model produced the highest accuracy (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mi>R</mi><mn>2</mn></msup><mo>=</mo><mn>0.83</mn></mrow></semantics></math></inline-formula>) among others tested for biomass yield prediction. …”
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Teamwork without talking: distributed system estimates maintain approximately centralized control of smart urban drainage systems during communications outages by Travis Adrian Dantzer, Branko Kerkez

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Adaptive online modeling of ship maneuvering motion based on error monitoring by Yaohui YU, Suyang LIU, Zihao WANG, Wenbo XIE, Yan PENG

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Leveraging Digital Twin for operational resilience in the oil and gas industry by Giovanni Mazzuto, Ilaria Pietrangeli, Marco Ortenzi, Filippo Emanuele Ciarapica, Maurizio Bevilacqua

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Development and evaluations of equations to predict empty body weight in pre-weaned hair sheep lambs by C. Jardines-Pozos, R. Salazar-Cuytun, J. Oliva-Hernández, R.J. Leon, R.A. Garcia-Herrera, J.C. Escobar-España, A.L.C. Gurgel, J.C.S. Santana, L.C.V. Ítavo, T.P. Dias-Silva, A.J. Chay-Canul

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Predicted and final tooth position assessment following indirect bonding planned by a digital system by Fernando César MOREIRA, Helder Baldi JACOB, Guilherme dos Reis Pereira JANSON, Daniela Gamba GARIB

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Predicting the mechanical behavior in FDM printing of biopolymers through boosting artificial neural networks by M. Laurenti, I. Bavasso, E. Palazzi, J. Tirillò, F. Sarasini, F. Berto

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Explainable artificial intelligence for predicting dengue outbreaks in Bangladesh using eco-climatic triggers by Md. Siddikur Rahman, Md. Abu Bokkor Shiddik

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The Prediction of the In Vitro Release Curves for PLGA-Based Drug Delivery Systems with Neural Networks by Zheng Zhang, Bolun Zhang, Ren Chen, Qian Zhang, Kangjun Wang

“…We establish a dataset through a literature review, and the model is trained and validated to determine its effectiveness in predicting different drug release curves. …”
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