IEEE

Efficient Framework for Real-Time Color Cast Correction and Dehazing Using Online Algorithms to Approximate Image Statistics

Abstract: Image dehazing is a crucial task in the early stages of real-time image processing pipelines used in applications such as surveillance and advance driver assistance systems. Dehazing ...
tastylive

3 Ways to Use Delta: Probability Approximation

In this educational session of From Theory to Practice, Jim Schultz continues his deep dive into Delta by explaining how traders can use it as a probability gauge - the second most common application ...
Frontiers

Correction: Prediction of lymph node metastasis in lung adenocarcinoma using a PET/CT radiomics-based ensemble learning model and its pathological basis

“Nioche C, Orlhac F, Boughdad S, ReuzéS, Goya-Outi J, Robert C, et al. LIFEx: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of ...
IEEE

Probabilistic Approximation of Stochastic Time Series Using Bayesian Recurrent Neural Network

Abstract: In this brief, we investigate the approximation theory (AT) of Bayesian recurrent neural network (BRNN) for stochastic time series forecasting (TSF) from a probabilistic standpoint. Due to ...
C&EN

Benchmarking the Calculated Resonance Raman Spectrum of a Diarylethene-Based Molecular Switch Using the Gradient Approximation

Resonance Raman spectroscopy provides important insight into the initial nuclear motions of a molecule following optical excitation. The vibrational frequencies in the spectrum represent the ...