Machine learning analysis of the relationships between traumatic childbirth experience with positive and negative fertility motivations in Iran in a community-based sample by Mahdieh Arian, Talat Khadivzadeh, Mahla Shafeei, Sedigheh Abdollahpour

“…For data analysis, Python software was used for machine learning and elastic net analysis was conducted in a nested cross-validation framework. …”
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Multi-strategy enhanced artificial rabbits optimization for prediction of grades in tourism service communication courses by Xiaodan Qu, Zhuyin Jia

“…Furthermore, MEARO is used to optimize two critical parameters of the Kernel Extreme Learning Machine (KELM), significantly improving its classification performance. …”
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Advancements and gaps in natural language processing and machine learning applications in healthcare: a comprehensive review of electronic medical records and medical imaging by Priyanka Khalate, Shilpa Gite, Shilpa Gite, Biswajeet Pradhan, Chang-Wook Lee

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Exploring machine learning algorithms to predict short birth intervals and identify its determinants among reproductive-age women in East Africa by Tirualem Zeleke Yehuala, Bezawit Melak Fente, Sisay Maru Wubante

“…Hence, this study aimed to predict short birth intervals and identify their determinants using supervised machine learning models. Method This study employs machine learning algorithms to predict short birth intervals among reproductive-age women in East Africa, using a dataset from Demographic and Health Surveys. …”
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Role of oxidative balance score in staging and mortality risk of cardiovascular-kidney-metabolic syndrome: Insights from traditional and machine learning approaches by Yang Chen, Shuang Wu, Hongyu Liu, Ziyi Zhong, Tommaso Bucci, Yimeng Wang, Manlin Zhao, Yang Liu, Zhengkun Yang, Ying Gue, Garry McDowell, Bi Huang, Gregory Y.H. Lip

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Predicting stunting status among under five children in ethiopia using ensemblemachine learning algorithms by Misganaw Ketema Ayele, Getachew Alemu Baye, Seid Hassen Yesuf, Abebaw Agegne Engda, Eshetie Teka Mitiku

“…This study demonstrates the effectiveness of machine learning in accurately predicting childhood stunting in Ethiopia. …”
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Application research on classification and integration model of innovation and entrepreneurship education resources based on GNN-PSO algorithm by Yongjian Dong

“…Through comparative experiments, the GNN-PSO model's classification accuracy reached 92.5 %, 15.3 percentage points higher than that of the traditional machine learning model. …”
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Predicting the outcome of psychological treatments for borderline personality disorder and posttraumatic stress disorder: a machine learning approach to predict long-term outcome o... by Jakob Blaß, Benjamin Iffland, Philipp Herzog, Tim Kaiser, Thomas Elbert, Carolin Steuwe

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Correction of crop water deficit indicators based on time-lag effects for improved farmland water status assessment by Yujin Wang, Zhitao Zhang, Yinwen Chen, Shaoshuai Fan, Haiying Chen, Xuqian Bai, Ning Yang, Zijun Tang, Long Qian, Zhengxuan Mao, Siying Zhang, Junying Chen, Youzhen Xiang

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Speech Emotion Recognition Method Based on Support Vector Machine and Suprasegmental Acoustic Features by D. V. Krasnoproshin, M. I. Vashkevich

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Comprehensive Review of Collaborative Data Caching in Edge Computing by Abdul Tawab Akrami, Girija Attigeri, Manjula C. Belavagi

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AI-Powered Plant Science: Transforming Forestry Monitoring, Disease Prediction, and Climate Adaptation by Zuo Xu, Dalong Jiang

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Novel concept for the healthy population influencing factors by Yuhao Shen, Jichao Wang, Lihua Ma, Huizhe Yan

“…In order to analyze and predict the main elements affecting the well-being of transient population, this study uses advanced machine learning algorithms such as principal component analysis, backpropagation (BP) neural networks, community analysis, random forest models, etc. …”
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A Comprehensive Survey on Split-Fed Learning: Methods, Innovations, and Future Directions by Geetabai S. Hukkeri, R. H. Goudar, G. M. Dhananjaya, Vijayalaxmi N. Rathod, Shilpa Ankalaki

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Image Descriptions for Visually Impaired Individuals to Locate Restroom Facilities by Cheng-Si He, Nan-Kai Lo, Yu-Huan Chien, Siao-Si Lin

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Factors influencing docked bike-sharing usage in the City of Kigali, Rwanda by Jean Marie Vianney Ntamwiza, Hannibal Bwire

“…This research investigated the effectiveness of machine learning models in predicting docked bike-sharing station usage in Kigali City. …”
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Dyslexia Analysis and Diagnosis Based on Eye Movement by R. Vaitheeshwari, Chih-Hsuan Chen, Chia-Ru Chung, Hsuan-Yu Yang, Shih-Ching Yeh, Eric Hsiao-Kuang Wu, Mukul Kumar

“…We introduce a novel fusion model that integrates various machine learning algorithms to objectively and automatically assess dyslexia using physiological data derived from user interactions. …”
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Mapping iron content and white matter integrity in the anterior thalamic radiations across Huntington’s disease stages by Montserrat Domingo-Ayllón, Clara Garcia-Gorro, Nadia Rodriguez-Dechicha, Irene Vaquer, Matilde Calopa, Ruth de Diego-Balaguer, Estela Camara

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DLTM: a deep learning method for tearing mode simulation and prediction by Zhipeng Chang, Baofeng Gao, Ruijie Yin, Xiaofei Zhao

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Advancements in handwritten Devanagari character recognition: a study on transfer learning and VGG16 algorithm by Chetan Sharma, Shamneesh Sharma, Sakshi, Hsin-Yuan Chen

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