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    A Survey on Modern Deep Learning Techniques for Traffic Volume Prediction

    Published in Data Science and Engineering (2026)
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    Unsupervised Anomaly Detection on Attributed Multiplex Heterogeneous Networks

    Published in Data Science and Engineering (2026)
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    Efficient Label-Constrained Path Queries on Time-Dependent Graphs via LP-Tree Decomposition

    Published in Data Science and Engineering (2026)
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    IBformer: Inductive Bias is Necessary for Multivariate Time Series Forecasting

    Published in Data Science and Engineering (2026)
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    A Survey of Generative Techniques for Spatial-Temporal Data Mining

    Published in Data Science and Engineering (2026)
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    Enumerating Cliques on -Partite Graphs

    Published in Data Science and Engineering (2026)
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    Fine-Grained Disentanglement for Alleviating Inconsistencies in Cross-Modal Hashing Retrieval

    Published in Data Science and Engineering (2026)
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    Data Platforms for Multi-organizational Settings: A Systematic Literature Review with Use Cases and a Reference Architecture

    Published in Data Science and Engineering (2026)
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    Dynamic Region Co-location Pattern Discovery: An Efficient Approach Based on Generalized Maximal Row Instances

    Published in Data Science and Engineering (2026)
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    Limit Order Book Event Stream Prediction with Diffusion Model

    Published in Data Science and Engineering (2026)
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    Dynamic Sub-Sequence Warping: A Representation-Based Similarity Measure for Long Time Series

    Published in Data Science and Engineering (2026)
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    Real-Time Dynamic Response Identification for Highway Structural Health Monitoring Data

    Published in Data Science and Engineering (2026)
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    Relationship-based Access Control for Data Spaces

    Published in Data Science and Engineering (2026)
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    Intelligent sorting optimization algorithm for e-commerce logistics cargo based on neural networks and deep learning

    Published in Discover Internet of Things (2026)
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    A Deep Learning Approach to Classifying Software Requirements: The Application of Transformer-Based Ensemble Learning and Attention-Based Fusion

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    The Potential of Prospect Theory under Inductive Reasoning

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    Influence of Graphical Representation Type on Tessellated Geometry Classification

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    MOPOA: A New Multi-Objective Pufferfish Optimization Algorithm

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    Machine Learning for Multi Objective Convex Separable Programming (MOCSP) with Aggregation of Linear Approximations and Portfolio Optimization

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    f-divergence Analysis of Generative Adversarial Network

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