Hybridization of Persistent Homology with Neural Networks for Time-Series Prediction: A Case Study in Wave…
Time-series Crime Prediction Across the United States Based on Socioeconomic and Political Factorsby Patricia Dao,…
Dynamical system prediction from sparse observations using deep neural networks with Voronoi tessellation and physics…
C-RADAR: A Centralized Deep Learning System for Intrusion Detection in Software Defined Networksby Osama Mustafa,…
Short-term Wind Speed Forecasting for Power Integration in Smart Grids based on Hybrid LSSVM-SVMD Methodby…
Enhancing Customer Churn Prediction in Telecommunications: An Adaptive Ensemble Learning Approachby Mohammed Affan Shaikhsurab, Pramod…
Flexible framework for generating synthetic electrocardiograms and photoplethysmogramsby Katri Karhinoja, Antti Vasankari, Jukka-Pekka Sirkiä, Antti…
Variational Mode Decomposition and Linear Embeddings are What You Need For Time-Series Forecastingby Hafizh Raihan…
A Novel Denoising Technique and Deep Learning Based Hybrid Wind Speed Forecasting Model for Variable…
On the effectiveness of smartphone IMU sensors and Deep Learning in the detection of cardiorespiratory…