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Artificial Intelligence for Natural Language Processing
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Spectral Discretization-Based Eigen-Analysis of Time-Delay Systems
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Large Vision-Language Models: Pre-Training, Prompting, and Applications
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On Mathematical Explanations of Empirical Phenomena
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Theory of Gyroscopic Effects for Rotating Objects: Gyroscopic Effects and Applications
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Time Series Forecasting Using Machine Learning: Case Studies With R and iForecast
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Robot Perception and Learning: A Human-Aware Navigation and Long-Term Autonomy Perspective
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Graph Neural Network for Hyperspectral Image Clustering
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Pentagons and Pentagrams: An Illustrated History
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Numerical Methods Using Java
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On Hilbert’s Sixth Problem
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Online Machine Learning
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The New Era in American Mathematics, 1920–1950
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Non-Gaussian Autoregressive-Type Time Series
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Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection
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Shell Structures: Theory and Application
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Shattered Symmetry
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Shallow and Deep Learning Principles
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The Skew-Normal and Related Families
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