Mathematical modeling of Elbrus glaciers in the 21st century. Part 2. Forecasting glacier evolution and lake formation under various SSP scenarios by T. N. Postnikova, O. O. Rybak, A. S. Gubanov, H. Zekollari, M. Huss

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Notice of Violation of IEEE Publication Principles: Free Parking Space Prediction and Reliability Analysis Based on Big Data Analysis by Chao Zhang, Xianwei Wang, Zhongjing Ma

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High-precision prediction of non-resonant high-order harmonics energetic particle modes via stacking ensemble strategies by Sheng Liu, Zhenzhen Ren, Weihua Wang, Kai Zhong, Jinhong Yang, Hongwei Ning

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Enhanced Prediction of Immune Checkpoint Blockade Response in Melanoma Using Ensemble Learning and a Hybrid Feature Selection Technique by Basant Badwy, Nagia M. Ghanem, Karim Banawan, Nour Eldin Ismail

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

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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

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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

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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

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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

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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

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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

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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. …”
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Spatio-Temporal Prediction of Surface Remote Sensing Data in Equatorial Pacific Ocean Based on Multi-Element Fusion Network by Tianliang Xu, Zhiquan Zhou, Chenxu Wang, Yingchun Li, Tian Rong

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A comparative study between LSSVM, LSTM, and ANN in predicting the unconfined compressive strength of virgin fine-grained soil by Jitendra Khatti, Kamaldeep Singh Grover, Pijush Samui

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Exploring the future of privacy-preserving heart disease prediction: a fully homomorphic encryption-driven logistic regression approach by Vankamamidi S. Naresh, Sivaranjani Reddi

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Prediction of electricity carbon emission peak in intelligent buildings with discrete second-order differential and time-sharing carbon measurement by Chao Wang, Yongliang Zhao, Hong Yan, Xi Jiang, Qi Kang, Junchao Zhou

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Prediction of bone metastasis of prostate cancer based on intratumoral and peritumoral radiomics of MRI T2WI combined with ADC images by Shiqian Lin, Shiqian Lin, Pingping He, Ruixiong You

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Multimodal Deep Learning Integration of Image, Weather, and Phenotypic Data Under Temporal Effects for Early Prediction of Maize Yield by Danial Shamsuddin, Monica F. Danilevicz, Hawlader A. Al-Mamun, Mohammed Bennamoun, David Edwards

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Application of Artificial Neural Network for Prediction of Concrete–High-Performance Concrete Interfacial Bond Strength After Exposure to Elevated Temperature by Nagat M. Zalhaf

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