Performance Analysis and Reliability Prediction of Multi‐State Service Systems With Multiple Failure Modes of Unreliable Server: An Engineering Perspective by Shreekant Varshney, Mohit Bajaj, Kapil Kumar Choudhary, Mukesh Pushkarna, Ievgen Zaitsev

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Predicting the effect of thread density on the physical and thermal properties of plain-woven fabric by using a soft computing system by Shah Md. Maruf Hasan, Md. Kamrul Hassan Chowdhury, Shamima Akter Smriti, Elias Khalil, Mahmuda Akter, Kaniz Farhana

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Enhanced air quality prediction using adaptive residual Bi-LSTM with pyramid dilation and optimal weighted feature selection by R. Sudha, Ajith Damodaran, Gunaselvi Manohar

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Composite dietary antioxidant index and HPV infection from single and mixed associations to SHAP-interpreted machine learning predictions by Pei Zhang

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Siamese Graph Convolutional Split-Attention Network with NLP based Social Sentimental Data for enhanced stock price predictions by Jayaraman Kumarappan, Elakkiya Rajasekar, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Ambarish Kulkarni

“…These problems lead to frequent prediction errors and make the models difficult to implement in real-time trading systems. …”
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Predicting mechanical ventilation duration in ICU patients: A data-driven machine learning approach for clinical decision-making by Shivi Mendiratta, Vinay Gandhi Mukkelli, Esha Baidya Kayal, Puneet Khanna, Amit Mehndiratta

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Baseline [18F]FP-CIT PET-based deep learning prediction of levodopa-induced dyskinesia in Parkinson’s disease by Grace Yoojin Lee, Jongjun Won, Sunwoo Kim, Sungyang Jo, Jihyun Lee, Sangjin Lee, Jae Seung Kim, Changhwan Sung, Jungsu S. Oh, Jihwan Kim, Namkug Kim, Sun Ju Chung

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A radiomics and deep learning nomogram developed and validated for predicting no-collapse survival in patients with osteonecrosis after multiple drilling by Fan Liu, De-bao Zhang, Shi-huan Cheng, Gui-shan Gu

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Prediction of the rheological properties of mortar compounded with desert sand and Pisha sandstone ceramic sand based on density-form coupling by Xiaoze Zhao, Xiaoli Li, Weidong Xie

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Improving Transformer Health Index Prediction Performance Using Machine Learning Algorithms with a Synthetic Minority Oversampling Technique by Muhammad Akmal A. Putra, Suwarno, Rahman Azis Prasojo

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Integrating electrocardiogram and fundus images for early detection of cardiovascular diseases by K. A. Muthukumar, Dhruva Nandi, Priya Ranjan, Krithika Ramachandran, Shiny PJ, Anirban Ghosh, Ashwini M, Aiswaryah Radhakrishnan, V. E. Dhandapani, Rajiv Janardhanan

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Radiomics analysis based on dynamic contrast-enhanced MRI for predicting early recurrence after hepatectomy in hepatocellular carcinoma patients by Kai-Di Wang, Ming-Jing Guan, Zi-Yang Bao, Zhe-Jin Shi, Hai-Hang Tong, Zun-Qiang Xiao, Lei Liang, Jun-Wei Liu, Guo-Liang Shen

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Machine Learning for the Prediction of Acute Kidney Injury in Critically Ill Patients With Coronary Heart Disease: Algorithm Development and Validation by Yike Li, Mingyang Xiao, Yaqian Li, Lulu Lv, Shanshan Zhang, Yuhui Liu, Juan Zhang

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iKcr-DRC: prediction of lysine crotonylation sites in proteins based on a novel attention module and DenseNet by Xin Wei, Xin Wei, Xin Wei, Siqin Hu, Jian Tu, Muhammad Akmal Remli, Muhammad Akmal Remli

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ANN-Based Real-Time Prediction of Heat and Mass Transfer in the Paper-Based Storage Enclosure for Sustainable Preventive Conservation by Bo Han, Fan Wang, Julie Bon, Linda MacMillan, Nick K. Taylor

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Radiation hematologic toxicity prediction in rectal cancer: a comparative radiomics-based study on CT image and dose map by Yingpeng Liu, Liping Guo, Yi Wang, Qingtao Xu, Jingfeng Zhang, Xianyun Meng

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Identification of a Novel Signature Based on Ferritinophagy-Related Genes to Predict Prognosis in Lung Adenocarcinoma: Focus on AHNAK2 by Liangjiang Xia, Haitao Ma

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Artificial intelligence-powered prediction of AIM-2 inflammasome sequences using transformers and graph attention networks in periodontal inflammation by Pradeep Kumar Yadalam, Deepavalli Arumuganainar, Prabhu Manickam Natarajan, Carlos M. Ardila

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Prediction of recurrent febrile seizures risk during the same febrile illness in children at a single tertiary centre in Turkiye by Gül Yücel, Ahmet Kadir Arslan, Bilge Özgör, Serdal Güngör

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A Machine Learning Approach to Predicting SEP Proton Intensity and Events Using Time Series of Relativistic Electron Measurements by Jesse Torres, Philip K. Chan, Lulu Zhao, Ming Zhang

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