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Showing 4201–4225 of 9169 papers

TitleStatusHype
Non-destructive Fault Diagnosis of Electronic Interconnects by Learning Signal Patterns of Reflection Coefficient in the Frequency Domain—0
Fruit Picker Activity Recognition with Wearable Sensors and Machine Learning—0
ZEBRA: Z-order Curve-based Event Retrieval Approach to Efficiently Explore Automotive Data—0
An Attention Free Conditional Autoencoder For Anomaly Detection in Cryptocurrencies—0
Regions of Reliability in the Evaluation of Multivariate Probabilistic ForecastsCode0
LTC-SE: Expanding the Potential of Liquid Time-Constant Neural Networks for Scalable AI and Embedded SystemsCode0
A Deep Learning Framework for Traffic Data Imputation Considering Spatiotemporal Dependencies—0
Autoregressive models for biomedical signal processing—0
Harnessing Contrastive Learning and Neural Transformation for Time Series Anomaly Detection—0
Obstacle-Transformer: A Trajectory Prediction Network Based on Surrounding Trajectories—0
Context-aware Domain Adaptation for Time Series Anomaly Detection—0
Continuous time recurrent neural networks: overview and application to forecasting blood glucose in the intensive care unit—0
Why Topological Data Analysis Detects Financial Bubbles?—0
Detection and Estimation of Structural Breaks in High-Dimensional Functional Time Series—0
Smart Metro: Deep Learning Approaches to Forecasting the MRT Line 3 Ridership—0
Streamlined Framework for Agile Forecasting Model Development towards Efficient Inventory Management—0
Video alignment using unsupervised learning of local and global features—0
NP-Free: A Real-Time Normalization-free and Parameter-tuning-free Representation Approach for Open-ended Time Series—0
Acoustic absement in detail: Quantifying acoustic differences across time-series representations of speech dataCode0
Generative modeling for time series via Schrödinger bridge—0
Time-frequency co-movements between commodities and economic policy uncertainty across different crises—0
Financial Time Series Forecasting using CNN and Transformer—0
Electricity Demand Forecasting with Hybrid Statistical and Machine Learning Algorithms: Case Study of Ukraine—0
Multi-scale Fusion Fault Diagnosis Method Based on Two-Dimensionaliztion Sequence in Complex Scenarios—0
FAN: Fatigue-Aware Network for Click-Through Rate Prediction in E-commerce RecommendationCode0
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