Implementation of a disease trigger prediction model using AIML for early diagnosis of epilepsy by Aarohi Deshpande, Aarohi Gherkar, Avni Bhambure, Girish Shivhare, Shreyash Kolhe, Bhupendra Prajapati, Shama Mujawar

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LOGISTIC MODELING TO PREDICT THE INTEREST OF THE INDONESIAN PEOPLE FOR BUYING FLOOD IMPACTED INSURANCE PRODUCTS by Yulial Hikmah

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Predictive Methods for Thrombus Formation in the Treatment of Aortic Dissection and Cerebral Aneurysms: A Comprehensive Review by Kenji Komiya, Shuta Imada, Yoshihiro Ujihara, Shukei Sugita, Masanori Nakamura

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The effect of age-related sensorimotor changes on step-down strategy: a predictive simulation study by Lucas Schreff, Niels F. J. Waterval, Marjolein M. van der Krogt, Daniel F. B. Häufle, Roy Müller

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Construction and validation of a predictive in-hospital mortality nomogram in patients with staphylococcus aureus bloodstream infection by Xiangquan Xie, Chuncai Wu, Jing Zhou, Shaohong Jiang, Baoying Shen, Qiaoli Xu, Chuanbin Huang

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Multiscale Feature Modeling and Interpretability Analysis of the SHAP Method for Predicting the Lifespan of Landslide Dams by Zhengze Huang, Yuqi Bai, Hengyu Liu, Yun Lin

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Evaluation Analysis of Islamic Religious Education Curriculum at Madrasah Tsanawiyah Ar Ruhama Kuningan by Saehu Abas, Hajjin Mabrur, Aghust Muhaimin, Muhammad Syauqi, Muh. Luthfi Ubaidillah

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Spectral Data-Driven Prediction of Soil Properties Using LSTM-CNN-Attention Model by Yiqiang Liu, Luming Shen, Xinghui Zhu, Yangfan Xie, Shaofang He

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Predicting the time to get back to work using statistical models and machine learning approaches by George Bouliotis, M. Underwood, R. Froud

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Comparative analysis of empirical and deep learning models for ionospheric sporadic E layer prediction by BingKun Yu, PengHao Tian, XiangHui Xue, Christopher J. Scott, HaiLun Ye, JianFei Wu, Wen Yi, TingDi Chen, XianKang Dou

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A comparison of tournament systems for the men’s World Handball Championship by Donoghue Peter O’, Kristjánsdóttir Hafrún, Halldórsson Kristján, Þorgeirsson Sveinn

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Feature importance analysis of solar flares and prediction research with ensemble machine learning models by Yun Yang, Yun Yang

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Data driven prediction of fragment velocity distribution under explosive loading conditions by Donghwan Noh, Piemaan Fazily, Songwon Seo, Jaekun Lee, Seungjae Seo, Hoon Huh, Jeong Whan Yoon

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Risk prediction model for overall survival in lung cancer based on inflammatory and nutritional markers by Hongqi Zhou, Weiyun Jin, Lindi Li, Xiangwen Nie, Weiwei Wu, Ran Chen, Qizhen Xie, Haixia Wu, Weiwei Jiang, Min Tang, Jinhai Wang, Maoyuan Wang

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Artificial intelligence models predicting abnormal uterine bleeding after COVID-19 vaccination by Yunjeong Choi, Jaeyu Park, Hyejun Kim, Young Joo Lee, Yongbin Lee, Yong Sung Choi, Seung Geun Yeo, Jiseung Kang, Masoud Rahmati, Hayeon Lee, Dong Keon Yon, Jinseok Lee

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Normative isokinetic knee strength values and prediction models in non-athletic Chinese adults by Kun Liu, Lulu Yin, Ye Zhang, Gongliang Liu, Ping Fang, Yanhong Ma, Lihua Huang

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Large Language Models as a New Tool in Modern Media Communications by Vasilev Andrei Mikhailovich, Trofimova Galina Nikolayevna

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Inflammation-nutrition biomarker model for survival prediction in lung cancer patients with concurrent tuberculosis by Hongqi Zhou, Zihao Zhao, Jinhai Wang, Weiyun Jin, Bensong Xian, Lindi Li, XiangWen Nie, WeiWei Wu, Ran Chen, QiZhen Xie, HaiXia Wu, WeiWei Jiang, Min Tang, YuXin Li

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A Novel Cooperative AI-Based Fall Risk Prediction Model for Older Adults by Deepika Mohan, Peter Han Joo Chong, Jairo Gutierrez

“…Two AI models’ predictions are combined to produce accurate predictions: The <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>A</mi><mi>I</mi></mrow><mrow><mn>1</mn></mrow></msub></mrow></semantics></math></inline-formula> model is based on vital signs using Fuzzy Logic, and the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>A</mi><mi>I</mi></mrow><mrow><mn>2</mn></mrow></msub></mrow></semantics></math></inline-formula> model is based on Activities of Daily Living (ADLs) using a Deep Belief Network (DBN). …”
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Advanced machine learning models for the prediction of ceramic tiles’ properties during the firing stage by V. Vasic, Milica, Awoyera, Paul O., Fadugba, Oladlu George, Barisic, Ivana, Nettinger Grubeša, Ivanka

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