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Showing 1501–1550 of 9169 papers

TitleStatusHype
Comparison of LSTM autoencoder based deep learning enabled Bayesian inference using two time series reconstruction approaches—0
Assessing Social License to Operate from the Public Discourse on Social Media—0
Assessing Lower Limb Strength using Internet-of-Things Enabled Chair—0
Synthetic Time Series for Anomaly Detection in Cloud Microservices—0
Evaluating the Planning and Operational Resilience of Electrical Distribution Systems with Distributed Energy Resources using Complex Network Theory—0
Assessing biological models using topological data analysis—0
Comparison between Conventional Load Flow, QSTS Simulation, and Dynamic Simulation to Assess the Operation of Step Voltage Regulators in Active Distribution Networks—0
Comparison between DeepESNs and gated RNNs on multivariate time-series prediction—0
A spectral regularisation framework for latent variable models designed for single channel applications—0
A Spectral Enabled GAN for Time Series Data Generation—0
A method for recovery of multidimensional time series based on the detection of behavioral patterns and the use of autoencoders—0
A spectral clustering-type algorithm for the consistent estimation of the Hurst distribution in moderately high dimensions—0
A Spectral Algorithm for Learning Hidden Markov Models—0
A Method for Massively Parallel Analysis of Time Series—0
Comparison of Different Methods for Time Sequence Prediction in Autonomous Vehicles—0
Comparison of PCA with ICA from data distribution perspective—0
Compensatory model for quantile estimation and application to VaR—0
Complex-valued Gaussian Process Regression for Time Series Analysis—0
A specifically designed machine learning algorithm for GNSS position time series prediction and its applications in outlier and anomaly detection and earthquake prediction—0
A Method for Estimating the Entropy of Time Series Using Artificial Neural Networks—0
A Spatial-Temporal Graph Based Hybrid Infectious Disease Model with Application to COVID-19—0
A Spatial-Temporal Decomposition Based Deep Neural Network for Time Series Forecasting—0
A Metamodel and Framework for Artificial General Intelligence From Theory to Practice—0
A cloud-IoT platform for passive radio sensing: challenges and application case studies—0
A Soft Computing Approach for Selecting and Combining Spectral Bands—0
A Single Scalable LSTM Model for Short-Term Forecasting of Disaggregated Electricity Loads—0
A Meta-learning Approach to Reservoir Computing: Time Series Prediction with Limited Data—0
A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky–Golay filter—0
A similarity measurement for time series and its application to the stock market—0
American Hate Crime Trends Prediction with Event Extraction—0
Community Detection and Growth Potential Prediction from Patent Citation Networks—0
A Signal Detection Scheme Based on Deep Learning in OFDM Systems—0
Comparing Prophet and Deep Learning to ARIMA in Forecasting Wholesale Food Prices—0
A Short Survey of Topological Data Analysis in Time Series and Systems Analysis—0
A Short Image Series Based Scheme for Time Series Digital Image Correlation—0
Adaptive Weighting Scheme for Automatic Time-Series Data Augmentation—0
Comparing seven methods for state-of-health time series prediction for the lithium-ion battery packs of forklifts—0
A Shapelet Transform for Multivariate Time Series Classification—0
Adaptive Visibility Graph Neural Network and It's Application in Modulation Classification—0
Analyzing Customer-Facing Vendor Experiences with Time Series Forecasting and Monte Carlo Techniques—0
A Sequential Modelling Approach for Indoor Temperature Prediction and Heating Control in Smart Buildings—0
A sequential approach to calibrate ecosystem models with multiple time series data—0
An Investigation of Traffic Density Changes inside Wuhan during the COVID-19 Epidemic with GF-2 Time-Series Images—0
Comparing Multi-label Classification with Reinforcement Learning for Summarisation of Time-series Data—0
Comparing statistical and machine learning methods for time series forecasting in data-driven logistics -- A simulation study—0
Comparing the forecasting of cryptocurrencies by Bayesian time-varying volatility models—0
A Sequence-Aware Recommendation Method Based on Complex Networks—0
A Semi-Supervised Approach for Abnormal Event Prediction on Large Operational Network Time-Series Data—0
Ambulance Demand Prediction via Convolutional Neural Networks—0
A Self-Supervised Task for Fault Detection in Satellite Multivariate Time Series—0
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