Integration of deep learning and railway big data for environmental risk prediction models and analysis of their limitations by Liuhui Quan, Minjie Wang, Lyu Baihang, Zhang Ziwen, Zhang Ziwen, Zhang Ziwen

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Analysis of Data and Feature Processing on Stroke Prediction using Wide Range Machine Learning Model by Untari Novia Wisesty, Tjokorda Agung Budi Wirayuda, Febryanti Sthevanie, Rita Rismala

“…In this research, stroke prediction was carried out on the Stroke dataset acquired from the Kaggle dataset using various machine learning models. Then, data sampling techniques are used to handle data imbalance problems in the stroke dataset, which include Random Undersampling, Random Oversampling, and SMOTE techniques. …”
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Application of machine learning in the analysis of seismic data to identify tectonic faults in various seismogeological conditions by Nikolaenko, Sergey Viktorovich, Kovalenko, Andrey A., Nateganov, Andrey E., Kruk, Pavel N. K, Deryushev, Aleksandr B.

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A Comparative Analysis of Traditional SARIMA and Machine Learning Models for CPI Data Modelling in Pakistan by Moiz Qureshi, Arsalan Khan, Muhammad Daniyal, Kassim Tawiah, Zahid Mehmood

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Federated Learning in Healthcare: A Benchmark Comparison of Engineering and Statistical Approaches for Structured Data Analysis by Siqi Li, Di Miao, Qiming Wu, Chuan Hong, Danny D’Agostino, Xin Li, Yilin Ning, Yuqing Shang, Ziwen Wang, Molei Liu, Huazhu Fu, Marcus Eng Hock Ong, Hamed Haddadi, Nan Liu

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Topological Data Analysis and Multiple Kernel Learning for Species Identification of Modern and Archaeological Small Ruminants by Manon Vuillien, Davide Adamo, Emmanuelle Vila, Amane Agraw, Thierry Argant, Daniel Helmer, Marjan Mashkour, Abdelkader Moussous, Olivier Notter, Elena Rossoni-Notter, Isabelle Théry, Marco Corneli

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Comparative Analysis of Performance Metrics for Machine Learning Classifiers with a Focus on Alzheimer's Disease Data by Sivakani Rajayyan, Syed Masood Mohamed Mustafa

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Benchmarking universal machine learning interatomic potentials for rapid analysis of inelastic neutron scattering data by Bowen Han, Yongqiang Cheng

“…Our findings highlight how the rapid advancement of AI in science is revolutionizing experimental research and data analysis.…”
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LPBSA: Pre-clinical data analysis using advanced machine learning models for disease prediction by Dana R. Hamad, Tarik A. Rashid

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Back analysis of geomechanical parameters based on a data augmentation algorithm and machine learning technique by Hui Li, Weizhong Chen, Xianjun Tan

Subjects: “…Back analysis…”
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How Data Drive Early Word Learning: A Cross-Linguistic Waiting Time Analysis by Francis Mollica, Steven T. Piantadosi

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Topological data analysis and machine learning for COVID-19 detection in CT scan lung images by Rabih Assaf, Abbas Rammal, Alban Goupil, Mohammad Kacim, Valeriu Vrabie

Subjects: “…Topological data analysis…”
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Analysis of different IDS-based machine learning models for secure data transmission in IoT networks by Gladić Dejana, Petrovački Jelena, Sladojević Srdan, Arsenović Marko, Ristić Sonja

“…The Internet of Things (IoT) encompasses a network of interconnected devices that collect, analyze, and exchange vast amounts of data. However, this connectivity creates opportunities for various types of cyberattacks, making IoT systems vulnerable and potentially leading to the compromise of sensitive information. …”
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Multi-scale eddy identification and analysis based on deep learning method and ocean color data by Meng Hou, Lixing Fang, Kai Wu, Jie Yang, Ge Chen

“…Additionally, certain deep-learning-based methods failed to delineate the contours of eddies when applied to these data. …”
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Integrating Inverse Data Envelopment Analysis and Machine Learning for Enhanced Road Transport Safety in Iran by Seyyed Mojtaba Tabatabai, Fatemeh Al-Sadat Tabatabai

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Analysis of the Impact of Data Augmentation on the Performance of Deep Learning Models in Multispectral Food Authenticity Identification by Yaru Zhang, Arif Yilmaz, Mirela Popa, Christopher Brewster

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Deep learning-based classification of hemiplegia and diplegia in cerebral palsy using postural control analysis by Javiera T. Arias Valdivia, Valeska Gatica Rojas, César A. Astudillo

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Extracting Learning Data From Handwritten Notes: A New Approach to Educational Data Analysis Based on Image Segmentation and Generative AI by Yunyu Zhou, Cheng Tang, Atsushi Shimada

“…This study introduces an efficient approach for educational data analysis by combining image segmentation with generative AI to extract learning insights from students’ handwritten notes. …”
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Performance of Machine Learning Algorithms on Imbalanced Sentiment Datasets Without Balancing Techniques by Dina Wulan Yekti rahayu, Khothibul Umam, Maya Rini Handayani

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The Application of Manifold Learning to a Selection of Different Galaxy Populations and Scaling Relation Analysis by Sogol Sanjaripour, Shoubaneh Hemmati, Bahram Mobasher, Gabriela Canalizo, Barry C. Barish, Irene Shivaei, Alison L. Coil, Nima Chartab, Marziye Jafariyazani, Naveen A. Reddy, Mojegan Azadi

“…The growing volume of data produced by large astronomical surveys necessitates the development of efficient analysis techniques capable of effectively managing high-dimensional data sets. …”
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