A Novel Digital Twin Based Framework and Methodology for Enhancing the Contribut...
Advances in Virtual Power Plant Operations A Review of Optimization Models
Prediction of Imbalance Prices Through Gradient Boosting Algorithms An Applicati...
Impact of Input Sequence Types on Healthcare Intrusion Prediction Models
SIGNETS Neural Network Architectures for m QAM Soft Demodulation
Multi Classification Refactoring Framework Using Hopfield Neural Network for Sus...
Optimized and Routed Wiring Harness Based on Zonal Clustering Concept Using AI i...
Residential Electrical Load Forecasting Based on a Real Time Evidential Time Ser...
Low Complexity Concurrent Multi Band Modeling and Digital Predistortion for Harm...
An Ensemble Based Classifier to Determine the Harmonic Contribution Responsibili...
Recursive Shrinking Toward Effective Cluster Isolation for Robust Electronic Noses
AI Driven Background Segmentation for High Throughput 3D Plant Scans
Outlier Traffic Flow Detection and Pattern Analysis Under Unplanned Disruptions ...
Noise Suppression Method With Low Complexity Noise Estimation Model and Heuristi...
Near Miss Detection Using Distancing Monitoring and Distance Based Proximal Indi...
A Topological Indicators Based k Means Clustering Algorithm and Its Application ...
