Turbofan engine health status prediction with heterogeneous ensemble deep neural networks

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Biomedical text summarization with large language models: methodologies, challenges, and future directions

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Explainable deep learning for software defect prediction: a residual-shuffle network approach with SHAP and LIME

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Gower-SOM: a self-organizing map for mixed data with gower distance and heuristic adaptation for data analytics

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An empirical evaluation of clustering processes for early detection of university dropout

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Data-driven analysis and prediction of traffic accident dynamics using spatiotemporal modeling and optimized machine learning techniques

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Average Volatility Dimensioning (AVD): dimension reduction technique for multivariate time series

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Logistic Dropout: a soft dropout mechanism via the Logistic Map

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BlockSketch: A Hybrid Tree-Based Sketch for Keyword Search in Blockchain Systems

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Adaptive object detection in dynamic road environments using YOLOv11 with continuous learning for Real-Time obstacle detection

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A model for assessing college students’ entrepreneurial abilities based on deep learning and big data

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Systematic review of emerging artificial intelligence research in glioma diagnosis and therapy

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A fully decentralized federated adversarial vision transformer with blockchain and secure aggregation for visual-based intrusion and malware forensics

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A systematic literature review on explainable AI for churn prediction, customer segmentation and retention

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Machine learning methods for detecting depression in Arabic tweets: a comprehensive performance analysis with enhanced evaluation metrics

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Application of distinct motivational types in shaping generative AI (GenAI) adoption behaviour

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Deep learning prediction of tooth extraction decisions from limited intraoral and extraoral image data

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HOGE: integrating feature descriptor and transfer learning for masked face recognition

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The constructing and empirical research on primary and secondary school teachers’ digital competencies in the age of artificial intelligence

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Generative AI Shanshui animation enhancement using Perlin noise and diffusion models

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