Development and validation of a novel clinical risk score to predict hypoxaemia in children with pneumonia using the WHO PREPARE dataset by Shamim Qazi, Arjun Chandna, Norman Lufesi, Philippe Vanhems, Tim Colbourn, Charles Mwansambo, Eric D McCollum, Mathuram Santosham, Shally Awasthi, Archana Patel, Joseph L Mathew, Tor A Strand, Carina King, Rakesh Lodha, Shubhada Hooli, Mark I Neuman, Vanessa Rouzier, Ashish Bavdekar, Nitya Wadhwa, Donald M Thea, Rainer Tan, Emmanuel Addo-Yobo, Chris A Rees, Shinjini Bhatnagar, Shabir A Madhi, Kerry-Ann F O’Grady, Sudha Basnet, Patricia Hibberd, Valentina S Picot, Pagbajabyn Nymadawa, Marilla Lucero, Glaucia Paranhos-Baccalà, Juan M Lozano, Yasir Bin Nisar, Prakash M Jeena, Marta Nunes, Noel Chisaka, Ngoc Tuong Vy Nguyen, Monidarin Chou, Mala Rakoto-Andrianarivelo, Graciela Russomando, Mariam Sylla, Jianwei Wang, Satinder Aneja, Alexey W Clara, Fenella Beynon, Romina Libster, Jean William Pape, Clare L Cutland, Brad Gessner, William B MaLeod, Syed Mohammad Akram uz Zaman, Gillian Levine

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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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Adopting Babson College for entrepreneurship education in Taiwan: a case study of university entrepreneurship teaching model by Jen-Chia Chang, Yu-Hsien Yu, Wen-Ling Huang

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