Comparison of three algorithms for estimating crop model parameters based on multi-source data: A case study using the CROPGRO-Soybean phenological model. by Yonghui Zhang, Yujie Zhang, Haiyan Jiang, Liang Tang, Xiaojun Liu, Weixing Cao, Yan Zhu

Get full text

Anticancer drug response prediction integrating multi-omics pathway-based difference features and multiple deep learning techniques. by Yang Wu, Ming Chen, Yufang Qin

“…Finally, a multilayer perceptron (MLP) outputs the final predictions of drug response. Our model exhibits higher accuracy in predicting the sensitivity to anticancer drugs comparing with other methods proposed recently. …”
Get full text

Introducing Iterative Model Calibration (IMC) v1.0: a generalizable framework for numerical model calibration with a CAESAR-Lisflood case study by C. Banerjee, K. Nguyen, C. Fookes, G. Hancock, T. Coulthard

Get full text

Efficient gaze stabilization during video Active Gaze Shift Test (vAGST) in bilateral vestibulopathy by Christian Van Nechel, Christian Van Nechel, Ulla Duquesne, Ulla Duquesne, Ulla Duquesne, Michel Toupet, Michel Toupet, Charlotte Hautefort, Charlotte Hautefort, Charlotte Hautefort

Get full text

A Diffusion–Attention-Enhanced Temporal (DATE-TM) Model: A Multi-Feature-Driven Model for Very-Short-Term Household Load Forecasting by Yitao Zhao, Jiahao Li, Chuanxu Chen, Quansheng Guan

Get full text

State of Charge Prediction of Mine-Used LiFePO₄ Battery Based on PSO-Catboost by Dazhong Wang, Yinghui Chang, Pengfei Ji, Yanchun Suo, Ning Chen

Get full text

Radiomics-based machine-learning method to predict extrahepatic metastasis in hepatocellular carcinoma after hepatectomy: a multicenter study by Ying He, Bingzi Dong, Bin Hu, Xiwei Hao, Nan Xia, Chuncheng Yang, Qian Dong, Chengzhan Zhu

Get full text

An Explainable Artificial Intelligence Text Classifier for Suicidality Prediction in Youth Crisis Text Line Users: Development and Validation Study by Julia Thomas, Antonia Lucht, Jacob Segler, Richard Wundrack, Marcel Miché, Roselind Lieb, Lars Kuchinke, Gunther Meinlschmidt

Get full text

Numerical Simulation of Turbulent Flow in River Bends and Confluences Using the k-ω SST Turbulence Model and Comparison with Standard and Realizable k-ε Models by Rawaa Shaheed, Abdolmajid Mohammadian, Alaa Mohammed Shaheed

Get full text

A simple yet effective approach for predicting disease spread using mathematically-inspired diffusion-informed neural networks by ByeongChang Jeong, Yeon Ju Lee, Cheol E. Han

Get full text

Development of a Multi‐Scale Meteorological Large‐Eddy Simulation Model for Urban Thermal Environmental Studies: The “City‐LES” Model Version 2.0 by Hiroyuki Kusaka, Ryosaku Ikeda, Takuto Sato, Satoru Iizuka, Taisuke Boku

Get full text

Predicting financial distress in high-dimensional imbalanced datasets: a multi-heterogeneous self-paced ensemble learning framework by Ruize Gao, Shaoze Cui, Yu Wang, Wei Xu

Get full text

Assessing the robustness of VIS-NIR spectroscopy-based soil organic carbon prediction against four wet chemistry methods by Cho-Yin Wu, Po-Hui Wu, Zeng-Yei Hseu

Get full text

Predicting a failure of postoperative thromboprophylaxis in non-small cell lung cancer: A stacking machine learning approach. by Ligang Hao, Junjie Zhang, Yonghui Di, Zheng Qi, Peng Zhang

Get full text

Factors Influencing Sport Persistence Along the Socio-Ecological Model—A Presentation of Sport Persistence Models Based on the Findings of a Representative Hungarian Sample by Karolina Eszter Kovács

Get full text

MRI-Based Model for Personalizing Neoadjuvant Treatment in Breast Cancer by Wen Li, Natsuko Onishi, Jessica E. Gibbs, Lisa J. Wilmes, Nu N. Le, Pouya Metanat, Elissa R. Price, Bonnie N. Joe, John Kornak, Christina Yau, Denise M. Wolf, Mark Jesus M. Magbanua, Barbara LeStage, Laura J. van ’t Veer, Angela M. DeMichele, Laura J. Esserman, Nola M. Hylton

Get full text

Modelling long-term greenhouse gas mitigation pathways for Mongolia by Tsolmon Namkhainyam, Bavuudorj Ovgor, Dorjpurev Jargal, Christopher S Malley

Get full text

GROUNDWATER POTENTIALS ESTIMATION USING SELF-POTENTIAL METHOD AS AN EARLY PREDICTION OF LAND SUBSIDENCE IN GAMPONG LENGKONG LANGSA CITY by Fajriani Fajriani, Teuku Andi Fadlly, Tisna Harmawan

Get full text

CRITERION FOR IDENTIFICATION OF THE PROBABILITY MODEL OF THE STATE OF SATELLITE COMMUNICATION CHANNELS by G. I. Linets, S. V. Melnikov

Get full text

iProtDNA-SMOTE: Enhancing protein-DNA binding sites prediction through imbalanced graph neural networks. by Ruiyan Huang, Wangren Qiu, Xuan Xiao, Weizhong Lin

“…We propose a method called iProtDNA-SMOTE, which utilizes non-equilibrium graph neural networks along with pre-trained protein language models to predict DNA binding residues. This approach effectively addresses the class imbalance issue in predicting protein-DNA binding sites by leveraging unbalanced graph data, thus enhancing model's generalization and specificity. …”
Get full text