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Showing 6301–6350 of 9169 papers

TitleStatusHype
CDPS: Constrained DTW-Preserving Shapelets—0
Performance Examination of Symbolic Aggregate Approximation in IoT Applications—0
Analysis and development of an automatic eCall for motorcycles: a one-class cepstrum approach—0
Implementing a new fully stepwise decomposition-based sampling technique for the hybrid water level forecasting model in real-world application—0
Estimation of the mortality rate functions from time series field data in a stage-structured demographic model for Lobesia botrana—0
A Time-Series Data Augmentation Model through Diffusion and Transformer Integration—0
Periodic Freight Demand Estimation for Large-scale Tactical Planning—0
Permutation-based tests for discontinuities in event studies—0
Predicting Company Growth by Econophysics informed Machine Learning—0
Persistence Initialization: A novel adaptation of the Transformer architecture for Time Series Forecasting—0
Predicting COVID-19 cases using Bidirectional LSTM on multivariate time series—0
Persistent Homology of Attractors For Action Recognition—0
Persistent Homology of Coarse Grained State Space Networks—0
Personality-Driven Gaze Animation with Conditional Generative Adversarial Networks—0
Predicting crypto-currencies using sparse non-Gaussian state space models—0
Personalized Online Machine Learning—0
Implementing a GRU Neural Network for Flood Prediction in Ashland City, Tennessee—0
Personalized Prediction of Recurrent Stress Events Using Self-Supervised Learning on Multimodal Time-Series Data—0
Impact of the COVID-19 pandemic on the financial market efficiency of price returns, absolute returns, and volatility increment: Evidence from stock and cryptocurrency markets—0
DancingLines: An Analytical Scheme to Depict Cross-Platform Event Popularity—0
PFformer: A Position-Free Transformer Variant for Extreme-Adaptive Multivariate Time Series Forecasting—0
Evaluating aleatoric and epistemic uncertainties of time series deep learning models for soil moisture predictions—0
Impact of Recurrent Neural Networks and Deep Learning Frameworks on Real-time Lightweight Time Series Anomaly Detection—0
CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting—0
Phase autoencoder for limit-cycle oscillators—0
Phase-driven Domain Generalizable Learning for Nonstationary Time Series—0
A Time Series Data Analysis of Indian Commercial Dynamism—0
Phase space reconstruction from a biological time series. A PhotoPlethysmoGraphic signal a case study—0
Phase Space Reconstruction Network for Lane Intrusion Action Recognition—0
Phenotyping Clusters of Patient Trajectories suffering from Chronic Complex Disease—0
Phenotyping of Clinical Time Series with LSTM Recurrent Neural Networks—0
Phenotyping OSA: a time series analysis using fuzzy clustering and persistent homology—0
A Deep Learning Approach for Motion Forecasting Using 4D OCT Data—0
Photometric light curves classification with machine learning—0
Impact of noise on a dynamical system: prediction and uncertainties from a swarm-optimized neural network—0
Physical Activity Recognition Based on a Parallel Approach for an Ensemble of Machine Learning and Deep Learning Classifiers—0
Physical Reservoir Computing Enabled by Solitary Waves and Biologically-Inspired Nonlinear Transformation of Input Data—0
Evaluating genetic drift in time-series evolutionary analysis—0
Impact of Deep Learning Libraries on Online Adaptive Lightweight Time Series Anomaly Detection—0
DAM: Towards A Foundation Model for Time Series Forecasting—0
Physics-informed generative neural network: an application to troposphere temperature prediction—0
Physics-Informed Graph Neural Network for Spatial-temporal Production Forecasting—0
Physics-informed machine learning for sensor fault detection with flight test data—0
Physics-Informed Neural Networks with Unknown Partial Differential Equations: an Application in Multivariate Time Series—0
Residual-based physics-informed transfer learning: A hybrid method for accelerating long-term CFD simulations via deep learning—0
Physics-inspired machine learning for power grid frequency modelling—0
Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time Series Forecasting Based on Biological ODEs—0
PhysioZoo: The Open Digital Physiological Biomarkers Resource—0
Piece-wise Matching Layer in Representation Learning for ECG Classification—0
Impact of Data Normalization on Deep Neural Network for Time Series Forecasting—0
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