A novel AI-driven model for student dropout risk analysis with explainable AI insights by Sumaya Mustofa, Yousuf Rayhan Emon, Sajib Bin Mamun, Shabnur Anonna Akhy, Md Taimur Ahad

“…Various machine learning, analytical, and statistical models have been proposed to address this issue. …”
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GRLGRN: graph representation-based learning to infer gene regulatory networks from single-cell RNA-seq data by Kai Wang, Yulong Li, Fei Liu, Xiaoli Luan, Xinglong Wang, Jingwen Zhou

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Designing empirical fourier decomposition reinforced with multiscale increment entropy and deep learning to forecast dry bulb air temperature by Mohammed Diykh, Mumtaz Ali, Abdulhaleem H. Labban, Ramendra Prasad, Mehdi Jamei, Shahab Abdulla, Aitazaz Ahsan Farooque

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Adaptive Management of Multi-Scenario Projects in Cybersecurity: Models and Algorithms for Decision-Making by Vadim Tynchenko, Alexander Lomazov, Vadim Lomazov, Dmitry Evsyukov, Vladimir Nelyub, Aleksei Borodulin, Andrei Gantimurov, Ivan Malashin

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Modeling of Basic Processes of Labor Market Functioning and Development: Methodological and Practical Aspects by Zh. B. Kenzhin, Kh. U. Nursapina, Zh. Abzhanova, Zh. M. Bulakbay, T. K. Kuangaliyeva

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Advancements in cyberthreat intelligence through resource exhaustion attack detection using hybrid deep learning with heuristic search algorithms by S. Jayanthi, Swathi Sowmya Bavirthi, P. Murali, K. Vijaya Kumar, Hend Khalid Alkahtani, Mohamad Khairi Ishak, Samih M. Mostafa

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Corpus-driven language learning: A scientometric analysis of contemporary trends and their trajectories for pedagogical innovation within the Indonesian context by Danang Satria Nugraha

“…Keyword analysis identified four distinct thematic clusters: (1) computational linguistics and artificial intelligence (37%), highlighting the integration of deep learning, language modeling, and machine translation in language learning; (2) specialized applications of CDLL (22%), particularly in information management; (3) human-centered language learning (21.5%), emphasizing social interaction, cognitive processes, and technology integration; and (4) foundational principles of CDLL (19.5%), encompassing corpus linguistics, language acquisition, and pedagogical practices. …”
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Unraveling the neural dynamics of mathematical interference in english reading: A novel approach with deep learning and fNIRS data by Zhijie Liang, Ling Wang, Jianyu Su, Bo Sun, Daifa Wang, Juan Yang

“…The AC-LSTM model achieves an exceptional accuracy rate of 99.8 %, surpassing other machine learning and deep learning models. …”
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Analysis of the 50-mile ultramarathon distance using a predictive XGBoost model by Jonas Turnwald, David Valero, Pedro Forte, Katja Weiss, Elias Villiger, Mabliny Thuany, Volker Scheer, Matthias Wilhelm, Marilia Andrade, Ivan Cuk, Pantelis T. Nikolaidis, Beat Knechtle

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Exploring f(Q) gravity through model-independent reconstruction with genetic algorithms by Redouane El Ouardi, Amine Bouali, Safae Dahmani, Ahmed Errahmani, Taoufik Ouali

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Deep learning–based classification of parotid gland tumors: integrating dynamic contrast-enhanced MRI for enhanced diagnostic accuracy by Kazim Ayberk Sinci, Ilker Ozgur Koska, Yusuf Kenan Cetinoglu, Nezahat Erdogan, Ali Murat Koc, Nuket Ozkavruk Eliyatkin, Cagan Koska, Barkan Candan

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GPT-NAS: Neural Architecture Search Meets Generative Pre-Trained Transformer Model by Caiyang Yu, Xianggen Liu, Yifan Wang, Yun Liu, Wentao Feng, Xiong Deng, Chenwei Tang, Jiancheng Lv

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OpenClustered: an R package with a benchmark suite of clustered datasets for methodological evaluation and comparison by Nathaniel Sean O’Connell, Jaime Lynn Speiser

“…Excellent data repositories are available for standard (non-clustered) datasets, such as OpenML and the Penn Machine Learning Benchmark repository, but there is a paucity of resources available that have clustered data. …”
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Evaluating the capability of large language models in characterising relational feedback: A comparative analysis of prompting strategies by Wei Dai, Yixin Cheng, Ahmad Ari Aldino, Yi-Shan Tsai, Dragan Gašević, Guanliang Chen

“…However, traditional machine and deep learning methods for text classification typically require extensive human labelling and pose a significant challenge for educators and researchers lacking machine learning and data science expertise. …”
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A Cost-Effective Real-Time Human Activity Recognition System Using Supervised Learning Algorithms and Wearable Acceleration Sensors by Nguyen Thi Thu, Phung Cong Phi Khanh, Trong-Minh Hoang, Duc-Tan Tran, Nguyen Ngoc Linh, Nguyen Canh Minh

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Benefits and Risks of Introducing Artificial Intelligence Into Trade and Commerce: The Case of Manufacturing Companies in West Africa by Zelin Zhuo, Frank Okai Larbi, Eric Osei Addo

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The data mining and high-performance network model of tourism electronic word of mouth for analysis of factors influencing tourists’ purchasing behavior by Wei Chen

“…The RNN-BP hybrid model has higher accuracy and predictive ability, which is 1.73% and 2.30% more accurate than single models and traditional machine learning predictive models. …”
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Construction of gas content model based on KPCA-SVR for Southern Sichuan shale gas by Zhong-yuan Liu, Di-Quan Li, Jing Jia, Yun-Qi Zhu, Zhong-Le Wang, Xue-Song Xie

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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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Analysis of the 10-day ultra-marathon using a predictive XG boost model by Beat Knechtle, Elias Villiger, David Valero, Lorin Braschler, Katja Weiss, Rodrigo Luiz Vancini, Marilia S. Andrade, Volker Scheer, Pantelis T. Nikolaidis, Ivan Cuk, Thomas Rosemann, Mabliny Thuany

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