ETTh2
PulseAugur coverage of ETTh2 — every cluster mentioning ETTh2 across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
-
Naga: Vedic Math-Inspired Model Enhances Time Series Forecasting
Researchers have introduced Naga, a novel deep State Space Model (SSM) that utilizes concepts from Vedic mathematics for time series forecasting. This approach processes sequences bidirectionally and combines them using…
-
New QFCQT framework enhances volatile time-series forecasting
Researchers have introduced QFCQT, a novel framework designed for forecasting volatile time-series data. This approach combines a Quantformer-style encoder with a Lee-oscillator activation module and a smooth-chaotic ga…
-
Quantum-Classical Hybrid Models Tackle Time-Series Forecasting on NISQ Hardware
Researchers have developed new quantum-classical hybrid frameworks for multivariate time-series forecasting, designed to operate on near-term noisy intermediate-scale quantum (NISQ) hardware. These frameworks, including…
-
New optical system HAMON achieves 14% better forecasting accuracy
Researchers have developed HAMON, a novel passive optical system for long-horizon time-series forecasting. This system encodes historical data onto an optical aperture and uses trainable phase masks with free-space diff…