Prediction of caesarean section birth using machine learning algorithms among pregnant women in a district hospital in Ghana by Frederick Osei Owusu, Helena Addai-Manu, Esther Serwah Agbedinu, Emmanuel Konadu, Lydia Asenso, Mercy Addae, Joseph Osarfo, Brenda Abena Ampah, Douglas Aninng Opoku

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Early Predictive Accuracy of Machine Learning for Hemorrhagic Transformation in Acute Ischemic Stroke: Systematic Review and Meta-Analysis by Benqiao Wang, Bohao Jiang, Dan Liu, Ruixia Zhu

“…Currently, there is no ideal tool for early prediction of HT risk. Recently, machine learning has gained traction in stroke management, prompting the exploration of predictive models for HT. …”
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Numerical power prediction for waDED produced aluminium ER5183 wall structures on vertical substrate plates by Fabio Haunreiter, Hugo Drexler, Martin Schnall, Alois Birgmann, Johannes Kronsteiner, Thomas Kopf, David Gruber, Pauline Meyer-Heye, Matthias Hartmann

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Enhancing Analog Electronics Education in Undergraduate Degrees Through Digital Spine-Enabled Hybrid Passive-Active Learning Design by Ke Wang, James Scott, Margaret Jollands

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iSKIN: Integrated application of machine learning and Mondrian conformal prediction to detect skin sensitizers in cosmetic raw materials by Weikaixin Kong, Jie Zhu, Peipei Shan, Huiyan Ying, Tongyu Chen, Bowen Zhang, Chao Peng, Zihan Wang, Yifan Wang, Liting Huang, Suzhen Bi, Weining Ma, Zhuo Huang, Sujie Zhu, Xueyan Liu, Chun Li

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AI-driven point cloud framework for predicting solder joint reliability using 3D FEA data by Mohd Zubair Akhtar, Maximilian Schmid, Gordon Elger

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Temperature Field Prediction of Glulam Timber Connections Under Fire Hazard: A DeepONet-Based Approach by Jing Luo, Guangxin Tian, Chen Xu, Shijie Zhang, Zhen Liu

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Deep learning based analysis of G3BP1 protein expression to predict the prognosis of nasopharyngeal carcinoma. by Linshan Zhou, Mu Yang, Jiadi Luo, Hongjing Zang, Songqing Fan, Yuting Zhan

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Multi-Attribute Data-Driven Flight Departure Delay Prediction for Airport System Using Deep Learning Method by Yujie Yuan, Yantao Wang, Chun Sing Lai

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Comparative Evaluation of Feed-Forward Neural Networks for Predicting Uniaxial Compressive Strength of Seybaplaya Carbonate Rock Cores by Jose W. Naal-Pech, Leonardo Palemón-Arcos, Youness El Hamzaoui

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Prediction of early postoperative recurrence of hepatocellular carcinoma by habitat analysis based on different sequence of contrast-enhanced CT by Yubo Zhang, Yubo Zhang, Hongyan Ma, Peng Lei, Zhiyuan Li, Zhao Yan, Xinqing Wang

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Edge-Cloud Synergy for AI-Enhanced Sensor Network Data: A Real-Time Predictive Maintenance Framework by Kaushik Sathupadi, Sandesh Achar, Shinoy Vengaramkode Bhaskaran, Nuruzzaman Faruqui, M. Abdullah-Al-Wadud, Jia Uddin

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Predicting Wealth Score from Remote Sensing Satellite Images and Household Survey Data Using Deep Learning by Shashank Shekhar, Pratibha Singh, Rashmi Mishra, Sunil Kumar

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The Impact of Lower Atmosphere Forecast Uncertainties on WACCM‐X Prediction of Ionosphere‐Thermosphere System During Geomagnetic Storms by Wonseok Lee, In‐Sun Song, Ja Soon Shim, Guiping Liu, Geonhwa Jee

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Increasing neural network robustness improves match to macaque V1 eigenspectrum, spatial frequency preference and predictivity. by Nathan C L Kong, Eshed Margalit, Justin L Gardner, Anthony M Norcia

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The role of controlling nutritional status score in predicting postthrombotic syndrome in patients with lower extremity deep venous thrombosis by Shanhong Lin, Ning Zhu, Shengmin Zhang

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Enhanced Prediction and Evaluation of Hydraulic Concrete Compressive Strength Using Multiple Soft Computing and Metaheuristic Optimization Algorithms by Tianyu Li, Xiamin Hu, Tao Li, Jie Liao, Lidan Mei, Huiwen Tian, Jinlong Gu

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A Reinforced, Event-Driven, and Attention-Based Convolution Spiking Neural Network for Multivariate Time Series Prediction by Ying Li, Xikang Guan, Wenwei Yue, Yongsheng Huang, Bin Zhang, Peibo Duan

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In Vitro Prediction of Skin-Sensitizing Potency Using the GARDskin Dose–Response Assay: A Simple Regression Approach by Robin Gradin, Fleur Tourneix, Ulrika Mattson, Johan Andersson, Frédéric Amaral, Andy Forreryd, Nathalie Alépée, Henrik Johansson

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An Explainable Machine Learning-Based Prediction of Backbone Curves for Reduced Beam Section Connections Under Cyclic Loading by Emrah Tasdemir, Mustafa Yavuz Cetinkaya, Furkan Uysal, Samer El-Zahab

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