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Showing 7651–7700 of 9169 papers

TitleStatusHype
Inspection of methods of empirical mode decomposition—0
In situ process quality monitoring and defect detection for direct metal laser melting—0
Decoding Multilingual Topic Dynamics and Trend Identification through ARIMA Time Series Analysis on Social Networks: A Novel Data Translation Framework Enhanced by LDA/HDP Models—0
Decoding Latent Spaces: Assessing the Interpretability of Time Series Foundation Models for Visual Analytics—0
In Search of Deep Learning Architectures for Load Forecasting: A Comparative Analysis and the Impact of the Covid-19 Pandemic on Model Performance—0
Input Sequence and Parameter Estimation in Impulsive Biomedical Models—0
Stock exchange shares ranking and binary-ternary compressive coding—0
Stock Market Directional Bias Prediction Using ML Algorithms—0
Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries—0
Stock Portfolio Optimization Using a Deep Learning LSTM Model—0
Decoding Financial Health in Kenyas' Medical Insurance Sector: A Data-Driven Cluster Analysis—0
Innovative Second-Generation Wavelets Construction With Recurrent Neural Networks for Solar Radiation Forecasting—0
Innovations Autoencoder and its Application in One-class Anomalous Sequence Detection—0
Stock Price Prediction using Dynamic Neural Networks—0
Stock Price Prediction Using Time Series, Econometric, Machine Learning, and Deep Learning Models—0
StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction—0
Stock Trend Prediction: A Semantic Segmentation Approach—0
Stock Volatility Prediction using Time Series and Deep Learning Approach—0
Stock Volume Forecasting with Advanced Information by Conditional Variational Auto-Encoder—0
STONet: A Neural-Operator-Driven Spatio-temporal Network—0
Decoding dynamic brain patterns from evoked responses: A tutorial on multivariate pattern analysis applied to time-series neuroimaging data—0
A Two-layer Approach for Estimating Behind-the-Meter PV Generation Using Smart Meter Data—0
sTransformer: A Modular Approach for Extracting Inter-Sequential and Temporal Information for Time-Series Forecasting—0
StreamEnsemble: Predictive Queries over Spatiotemporal Streaming Data—0
Stream-Flow Forecasting of Small Rivers Based on LSTM—0
InjectTST: A Transformer Method of Injecting Global Information into Independent Channels for Long Time Series Forecasting—0
Streaming Traffic Flow Prediction Based on Continuous Reinforcement Learning—0
Decoding Causality by Fictitious VAR Modeling—0
Initializing LSTM internal states via manifold learning—0
Initialization of multilayer forecasting artifical neural networks—0
Decision-Aware Conditional GANs for Time Series Data—0
Initialization matters: Orthogonal Predictive State Recurrent Neural Networks—0
Initialising Kernel Adaptive Filters via Probabilistic Inference—0
Deciphering interventional dynamical causality from non-intervention systems—0
Strong denoising of financial time-series—0
Structural and Functional Discovery in Dynamic Networks with Non-negative Matrix Factorization—0
Structural Break Detection in Quantile Predictive Regression Models with Persistent Covariates—0
Structural Breaks in Time Series—0
Structural Change in (Economic) Time Series—0
Structural Damage Detection and Localization with Unknown Post-Damage Feature Distribution Using Sequential Change-Point Detection Method—0
Initial conditions in the neural field model—0
Structural Knowledge Informed Continual Multivariate Time Series Forecasting—0
Deciphering Dynamical Nonlinearities in Short Time Series Using Recurrent Neural Networks—0
Attentive Weakly Supervised land cover mapping for object-based satellite image time series data with spatial interpretation—0
A Deep Learning Spatiotemporal Prediction Framework for Mobile Crowdsourced Services—0
Structured Black Box Variational Inference for Latent Time Series Models—0
A Comparative Study of the Clinical use of Motion Analysis from Kinect Skeleton Data—0
Informed Forecasting: Leveraging Auxiliary Knowledge to Boost LLM Performance on Time Series Forecasting—0
Structured low-rank matrix completion for forecasting in time series analysis—0
Informative Priors Improve the Reliability of Multimodal Clinical Data Classification—0
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