Transmission Loss Prediction Using Neural Networks With Correlation‐Derived Input Features
A neural network model for transmission loss prediction is enhanced using correlation‐based derived features from operational and meteorological data. The approach improves prediction accuracy by capturing temporal behavior without increasing neural network architectural complexity.
Jovana Tuševljak, Željko Đurišić
wiley +1 more source
Feedback-Enhanced Virtual Reality Upper-Limb Training With Body Position Measurement in Healthy Adults: Development and Validation Study. [PDF]
Iso N +8 more
europepmc +1 more source
Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly +2 more
wiley +1 more source
Algorithm-hardware co-design of neuromorphic networks with dual memory pathways. [PDF]
Sun P +5 more
europepmc +1 more source
ABSTRACT Background Head and neck cancer (HNC) is a devastating diagnosis, with advanced‐stage disease leading to poorer outcomes. This qualitative study aimed to identify health system factors associated with stage of HNC diagnosis. Methods Qualitative semistructured interviews with HNC patients and clinicians were undertaken in two purposively ...
Grant Creaney +196 more
wiley +1 more source
The role of transthalamic pathways in perception. [PDF]
Koster KP, Mo C.
europepmc +1 more source
Machine Learning for Coronary Heart Disease Prediction: Comparative Analysis of Framingham and Cleveland Subset of the UCI Dataset with SHAP-Based Interpretability. [PDF]
Raman S +12 more
europepmc +1 more source
A novel image-based neuronal network model framework for understanding visual multistability and neurological disorders. [PDF]
Hikino KN +3 more
europepmc +1 more source
An important challenge in deploying pervasive computing environments is the di culty users have in understanding their behaviour. It has been suggested that these environ- ments should be made intelligible by informing users about their understanding of the world.
Vermeulen, Jo +2 more
openaire +1 more source
Association learning drives synaptic plasticity at feedforward synapses in somatosensory cortex. [PDF]
Christian JA, Park E, Barth AL.
europepmc +1 more source

