Applications and challenges of artificial intelligence in the clinical management of coronary artery disease: from imaging analysis to multi-omics integration by CHEN Wenjie, LIU Yiming, SHI Yuchen, LIU Jinghua

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Fostering Talk as Performance in an EFL Class Through the Critical Analysis of YouTubers’ Content by Yesika Aristizábal-Jiménez

“…Twenty 11th-grade students shared alternative messages related to social issues based on content analysis and reflections. Data were collected via preservice teachers’ journals, students’ written and multimedia artifacts, and voice recordings, whose analysis was done through processes of codification and categorization. …”
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Measurement of Fracture Networks in Rock Sample by X-Ray Tomography, Convolutional Filtering and Deep Learning by Alessia Caputo, Maria Teresa Calcagni, Giovanni Salerno, Elisa Mammoliti, Paolo Castellini

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An interpretable machine learning method for fault diagnosis of oil-immersed transformers based on edge inference by Dong Hu, Yong Yang, Hao Dai, Chao Tang, Jufang Xie

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Predicting mortality risk in Alzheimer’s disease using machine learning based on lifestyle and physical activity by Ruihong Tang, Liang Tan, Xia Chen, Zhengwu Shan, Zhao Zhang, Panpan Cheng

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A hybrid machine learning method of support vector regression with particle swarm optimization for predicting IRI in continuously reinforced concrete pavement by Ali Alnaqbi, Waleed Zeiada, Ghazi Al-Khateeb

“…In order to forecast IRI using data taken from the Long-Term Pavement Performance (LTPP) database, this study proposes a hybrid machine learning model that combines Support Vector Regression (SVR) and Particle Swarm Optimization (PSO). …”
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Long-term COVID-19 symptoms and post-vaccination reactions among prolonged COVID-19 patients in the Kurdistan region of IraqMendeley Data by Aveen Kakamen, Ibrahim Ismael Hamarash

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Towards an annual urban settlement map in France at 10 m spatial resolution using a method for massive streams of Sentinel-2 data by Romain Wenger, David Michéa, Anne Puissant

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AI-Driven Predictive Modeling for Lung Cancer Detection and Management Using Synthetic Data Augmentation and Random Forest Classifier by Nisreen Innab, Asma Aldrees, Dina Abdulaziz AlHammadi, Abeer Hakeem, Muhammad Umer, Shtwai Alsubai, Silvia Trelova, Imran Ashraf

“…The application of machine learning algorithms enables medical researchers to examine large amounts of data accurately, which leads to the development of precise and effective treatment approaches. …”
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Machine learning model based on dynamic contrast-enhanced ultrasound assisting LI-RADS diagnosis of HCC: A multicenter diagnostic study by Meiqin Xiao, Yishu Deng, Wei Zheng, Lishu Huang, Wei Wang, Hao Yang, Danyan Gao, Zhixing Guo, Jianwei Wang, Chaofeng Li, Fang Li, Feng Han

“…Materials and methods: This retrospective analysis was conducted on pre-treatment CEUS data from liver nodule patients across multiple centers between January 2013 and June 2022. …”
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Towards sustainable agriculture in Iran using a machine learning-driven crop mapping framework by Iman Khosravi

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Implementation of Character Values Through Physical Education, Sports, and Health Education: A Thematic Analysis Approach Using ATLAS.ti by Samsul Bahri, Hari Yuliarto

“…The data was analysed using ATLAS. The process involved several stages: project analysis, data processing, familiarisation with the data, coding, solidification and integration of the coding system, categorisation of codes, categorisation of categories, co-occurrence menu, and thematic visualisation. …”
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Integration of Deep Learning Architectures With GRU for Automated Leukemia Detection in Peripheral Blood Smear Images by Amit Kumar Bairwa, Anita Shrotriya, Priyanka Mathur, Sandeep Joshi, Sakshi Shringi, Ambika Kumari

“…This paper investigates the integration of deep learning (DL) architectures with Recurrent Neural Networks (RNNs) for automated leukemia detection in Peripheral Blood Smear (PBS) images. …”
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Examining the empathy levels of medical students using CHAID analysis by Nesrin Hark Söylemez

“…A relational screening model was applied, using a “Personal Information Form” and an “Empathy Scale” to gather data. CHAID analysis was employed to identify the key predictors influencing empathy levels, whereas machine learning algorithms were utilized to classify and predict individuals' empathy levels. …”
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A Hybrid STL-Deep Learning Framework for Behavioral-Based Intrusion Detection in IoT Environments by Abdullah AlHayan, Jalal Al-Muhtadi

“…This paper proposes a novel hybrid IDS framework designed to enhance IoT network security by integrating time series analysis with deep learning. Specifically, we leverage seasonal-trend decomposition using Loess (STL) as an intelligent pre-filtering mechanism to isolate potentially anomalous traffic, which is then classified using sophisticated deep learning models, with a particular focus on long short-term memory (LSTM) networks compared against recurrent neural networks (RNN) and dense neural networks (DNN). …”
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Multimodal Sentiment Analysis Based on Expert Mixing of Subtask Representations by Ling Lei, Wangjun He, Qiuyan Zheng, Bing Zhu

“…Multimodal sentiment analysis has garnered significant attention for capturing and comprehending human emotions more authentically and comprehensively, multimodal sentiment analysis has garnered significant attention. …”
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Evaluating the performance of ChatGPT and GPT-4o in coding classroom discourse data: A study of synchronous online mathematics instruction by Simin Xu, Xiaowei Huang, Chung Kwan Lo, Gaowei Chen, Morris Siu-yung Jong

“…High-quality instruction is essential to facilitating student learning, prompting many professional development (PD) programmes for teachers to focus on improving classroom dialogue. …”
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Comparative Analysis of Neural Network Models for Predicting Battery Pack Safety in Frontal Collisions by Jun Wang, Ouyang Chen, Zhenfei Zhan, Zhiwei Zhao, Huanhuan Bao

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NIRS and machine learning algorithms as a non-invasive technique to discriminate and classify cooked broiler and duck meat by Kamrunnahar Khan Bristy, Dip Ghosh, Md. Abul Hashem

“…The data were preprocessed and analyzed using principal component analysis (PCA) and t-distributed stochastic neighbor embedding (t-SNE). …”
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Mapping football tactical behavior and collective dynamics with artificial intelligence: a systematic review by José E. Teixeira, José E. Teixeira, José E. Teixeira, José E. Teixeira, José E. Teixeira, José E. Teixeira, Eduardo Maio, Eduardo Maio, Eduardo Maio, Pedro Afonso, Pedro Afonso, Samuel Encarnação, Samuel Encarnação, Samuel Encarnação, Guilherme F. Machado, Guilherme F. Machado, Ryland Morgans, Tiago M. Barbosa, Tiago M. Barbosa, António M. Monteiro, António M. Monteiro, Pedro Forte, Pedro Forte, Pedro Forte, Ricardo Ferraz, Ricardo Ferraz, Luís Branquinho, Luís Branquinho, Luís Branquinho, Luís Branquinho

“…Artificial intelligence (AI) has revolutionized the tactical performance analysis in football, offering unprecedented data analytics insights for players, coaches, and analysts. …”
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