Analysis and training of a traffic sign recognition neural network model by A. U. Mentsiev, T. G. Aigumov, E. M. Abdulmukminova

Subjects: “…data analysis…”
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To what degree does the missing-data technique influence the estimated growth in learning strategies over time?... by Liesje Coertjens, Vincent Donche, Sven De Maeyer, Gert Vanthournout, Peter Van Petegem

“…To help bridge the gap between methodological recommendations and applied research in the educational and psychological domain, this study provides a tutorial example of sensitivity analysis for latent growth analysis. The example data concern students' changes in learning strategies during higher education. …”
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Compositional Data Analysis (CoDA) of Clinopyroxene From Abyssal Peridotites by I. Nishio, K. Itano, P. Waterton, A. Tamura, K. Szilas, T. Morishita

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Analysis of HIV high-risk population characteristics with Baidu Tieba data by Shiyao XIAO, Wei LYU, Saran CHEN, Shuo QIN, Ge HUANG, Mengsi CAI, Yuejin TAN, Xu TAN, Xin LU

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Identifying Ring Galaxies in DESI Legacy Imaging Surveys Using Machine Learning Methods by Aina Zhang, Xiaoming Kong, Bowen Liu, Nan Li, Yude Bu, Zhenping Yi, Meng Liu

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Machine Learning Analysis of Arterial Oscillograms for Depression Level Diagnosis in Cardiovascular Health by Vladislav Kaverinsky, Dmytro Vakulenko, Liudmyla Vakulenko, Kyrylo Malakhov

“…The presented study explores the clustering of arterial oscillogram (AO) data among a sample of patients, focusing on ultra-low-frequency (ULF) indicators and their relationship with depression levels. …”
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Towards a Conceptual Modeling of Trustworthiness in AI-Based Big Data Analysis by Sebastian Bruchhaus, Alexander Kreibich, Thoralf Reis, Marco X. Bornschlegl, Matthias L. Hemmje

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Optimization of machine learning methods for de-anonymization in social networks by Nurzhigit Smailov, Fatima Uralova, Rashida Kadyrova, Raiymbek Magazov, Akezhan Sabibolda

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The topology of molecular representations and its influence on machine learning performance by Florian Rottach, Sebastian Schieferdecker, Carsten Eickhoff

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Semisupervised Learning for Detecting Inverse Compton Emission in Galaxy Clusters by Sheng-Chieh Lin, Yuanyuan Su, Fabio Gastaldello, Nathan Jacobs

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Classification and Physical Characteristic Analysis of Fermi-GBM Gamma-Ray Bursts Based on Deep Learning by Jia-Ming Chen, Ke-Rui Zhu, Zhao-Yang Peng, Li Zhang

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Learning to Train and to Explain a Deep Survival Model with Large-Scale Ovarian Cancer Transcriptomic Data by Elena Spirina Menand, Manon De Vries-Brilland, Leslie Tessier, Jonathan Dauvé, Mario Campone, Véronique Verrièle, Nisrine Jrad, Jean-Marie Marion, Pierre Chauvet, Christophe Passot, Alain Morel

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Data-Driven and Machine-Learning-Based Real-Time Viscosity Measurement Using a Compliant Mechanism by Nitin V. Satpute, Pratibha Mahajan, Abhishek M. Bhagawati, Keyur G. Kulkarni, Kaustubh M. Utpat, Ganesh D. Korwar, Jagadish V. Tawade, Joanna Iwaniec, Krzysztof Kołodziejczyk

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Research on insider threat detection based on personalized federated learning and behavior log analysis by Xiaoyun Ye, Faqin Luo, Huangrongbin Cui, Jinlong Wang, Xiaoyun Xiong, Wencui Zhang, Jiawei Yu, Wenhao Zhao

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CNN Based Deep Learning Modeling with Explainability Analysis for Detecting Fraudulent Blockchain Transactions by Mohammad Hasan, Mohammad Shahriar Rahman, Mohammad Jabed Morshed Chowdhury, Iqbal H. Sarker

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A Comprehensive Review of Multimodal Analysis in Education by Jared D. T. Guerrero-Sosa, Francisco P. Romero, Víctor H. Menéndez-Domínguez, Jesus Serrano-Guerrero, Andres Montoro-Montarroso, Jose A. Olivas

“…It provides a detailed analysis of data collection modalities, feature extraction pipelines, modelling techniques—including machine learning, deep learning, and fusion strategies—and software frameworks used across various educational settings. …”
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Primer on machine learning applications in brain immunology by Niklas Binder, Ashkan Khavaran, Roman Sankowski

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Efficient IDS for IoT Networks Using Host-Based Data Aggregation and Multi-Entropy Analysis by Yusei Katsura, Arata Endo, Ismail Arai, Kazutoshi Fujikawa

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A density clustering-based network performance failure big data analysis algorithm by Xiang LI, Yuan LI, Zifei ZHANG, Zhe YANG

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Analysis of Model Merging Methods for Continual Updating of Foundation Models in Distributed Data Settings by Kenta Kubota, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

“…To address these issues, we propose a novel framework that integrates model merging with federated learning to enable continual foundation model updates without centralizing sensitive data. …”
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