Prediction of Soil Liquefaction Using a Multi-Algorithm Technique: Stacking Ensemble Techniques and Bayesian Optimization by Long Tsang, Mahdi Akbari, Pouyan Fakharian

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Integration of Single-Cell and Bulk Transcriptome to Reveal an Endothelial Transition Signature Predicting Bladder Cancer Prognosis by Jinyu Yang, Wangxi Wu, Xiaoli Tang

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Enhancing heart disease prediction with stacked ensemble and MCDM-based ranking: an optimized RST-ML approach by T. Ashika, G. Hannah Grace

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Prediction of petrophysical properties through comparative post-stack inversion techniques using advance Neural Networking by Pal Washa Shahzad Rathore, Matloob Hussain, Muhammad Bilal Malik, Sher Afgan

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NetMHCphosPan - Pan-specific prediction of MHC class I antigen presentation of phosphorylated ligands by Carina Thusgaard Refsgaard, Carolina Barra, Xu Peng, Nicola Ternette, Morten Nielsen

“…The improved performance, driven by the extended length and allelic coverage, of NetMHCphosPan over current state-of-the-art methods, was further validated on a large benchmark data set independent from the model development.In conclusion, we have confirmed the high power of NNAlign_MA for motif deconvolution of complex immuno-peptidomics data and have developed a novel method for prediction of MHC presented phosphopeptides with improved predictive power and a broader peptide length and MHC coverage compared to current state-of-the-art methods. …”
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SAGEFusionNet: An Auxiliary Supervised Graph Neural Network for Brain Age Prediction as a Neurodegenerative Biomarker by Suraj Kumar, Suman Hazarika, Cota Navin Gupta

“…All models were trained using 5-fold cross-validation to predict brain age and subsequently tested for performance evaluation. …”
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Use of Fourier transform infrared spectroscopy and chemometric analysis to predict the bacilloscopic index in the saliva of leprosy patients by Paulo Cezar de Moraes, Maria Lúcia Scroferneker, Alessandra Koehler, Letícia Maria Eidt, Cristiane Almeida Soares Cattani, Valeriano Antonio Corbellini

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Research on Fracture Energy Prediction and Size Effect of Concrete Based on Deep Learning with SHAP Interpretability Method by Huiming Wang, Weiqi Zhang, Jie Lin, Shengpin Guo

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Spatially predicting ecosystem service patterns in boreal drained peatlands forests using multisource satellite data by Kaapro Keränen, Anwarul Islam Chowdhury, Parvez Rana

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Improving the prediction of bitumen’s density and thermal expansion by optimizing artificial neural networks with Optuna and TensorFlow by Eli I. Assaf, Xueyan Liu, Sandra Erkens

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Acoustic behavior and time prediction method for water inrush of tunnel floor under osmotic water pressure by J.G. Wang, Z. Ma, Y.R. Cong, S. Yang

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Evaluating the performance of Random Forest, Decision Tree, Support Vector Regression and Gradient Boosting for streamflow prediction by Osahon Idemudia, Jacob Odeh Ehiorobo, Christopher Osadolor Izinyon, Idowu Ilaboya

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A new temporal locality-based workload prediction approach for SaaS services in a cloud environment by Wiem Matoussi, Tarek Hamrouni

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Prediction and Fitting of Nonlinear Dynamic Grip Force of the Human Upper Limb Based on Surface Electromyographic Signals by Zixiang Cai, Mengyao Qu, Mingyang Han, Zhijing Wu, Tong Wu, Mengtong Liu, Hailong Yu

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Auto-branch multi-task learning for simultaneous prediction of multiple correlated traits associated with Alzheimer’s disease by Jiaqi Liang, Jiaqi Liang, Zhao Xue, Zhao Xue, Wenchao Zhou, Wenchao Zhou, Xiangjie Guo, Xiangjie Guo, Xiangjie Guo, Yalu Wen

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Predicting sarcopenia risk in stroke patients: a comprehensive nomogram incorporating demographic, anthropometric, and biochemical indicators by Yufan Pu, Ying Wang, Huihuang Wang, Hong Liu, Xingxing Dou, Jiang Xu, Xuejing Li

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ENHANCING 〖PM〗_(2.5) PREDICTION IN KEMAYORAN DISTRICT, DKI JAKARTA USING DEEP BILSTM METHOD by Nabila Karin, Gumgum Darmawan, Triyani Hendrawati

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Machine learning-based prediction of post-induction hypotension: identifying risk factors and enhancing anesthesia management by Ming Chen, Dingyu Zhang

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Intersection collision prediction and prevention based on vehicle-to-vehicle (V2V) and cloud computing communication by Min Zeng, Mohd Sani Mohamad Hashim, Mohd Nasir Ayob, Abdul Halim Ismail, Qiling Zang

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Classification Prediction of Jujube Variety Based on Hyperspectral Imaging: A Comparative Study of Intelligent Optimization Algorithms by Quancheng Liu, Jun Zhou, Zhaoyi Wu, Didi Ma, Yuxuan Ma, Shuxiang Fan, Lei Yan

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