Results 181 to 190 of about 90,690 (297)

Harnessing deep learning to quantify microstructural complexity in confocal images of plant protein gels

Food Biomacromolecules, EarlyView.
Abstract Understanding plant protein gel microstructure is key to designing functional food systems. This study introduces a deep learning framework using a U‐Net model with a ResNet34 encoder to segment and quantify confocal laser scanning microscopy (CLSM) images of plant protein gels.
Zhi Yang
wiley   +1 more source

LSTM-Based Absolute Position Estimation of a 2-DOF Planar Delta Robot Using Time-Series Data. [PDF]

Sensors (Basel)
Baek S.
europepmc   +1 more source

Mortality Forecasting Using Variational Inference

Journal of Forecasting, EarlyView.
ABSTRACT This paper considers the problem of forecasting mortality rates. A large number of models have already been proposed for this task, but they generally have the disadvantage of either estimating the model in a two‐step process, possibly losing efficiency, or relying on methods that are cumbersome for the practitioner to use.
Patrik Andersson, Mathias Lindholm
wiley   +1 more source

Hydraulic support pressure prediction via deep learning with multilevel temporal feature integration. [PDF]

Sci Rep
Yu Q, Sun C, Yang Y, Yang P.
europepmc   +1 more source

Forecasting of COVID-19 using deep layer Recurrent Neural Networks (RNNs) with Gated Recurrent Units (GRUs) and Long Short-Term Memory (LSTM) cells

, 2021
K.E. ArunKumar, Dinesh V. Kalaga, Ch. Mohan Sai Kumar, Masahiro Kawaji, Timothy M. Brenza   +4 more
openalex   +2 more sources

A Fuzzy Framework for Realized Volatility Prediction: Empirical Evidence From Equity Markets

Journal of Forecasting, EarlyView.
ABSTRACT This study introduces a realized volatility fuzzy time series (RV‐FTS) model that applies a fuzzy c‐means clustering algorithm to estimate time‐varying c$$ c $$ latent volatility states and their corresponding membership degrees. These memberships are used to construct a fuzzified volatility estimate as a weighted average of cluster centroids.
Shafqat Iqbal, Štefan Lyócsa
wiley   +1 more source

Tactile Sensor-Based Body Center of Pressure Estimation System Using Supervised Deep Learning Models. [PDF]

Sensors (Basel)
Baik J, Choi Y, Kim KJ, Park YJ, Lee H.
europepmc   +1 more source

A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios

Journal of Forecasting, EarlyView.
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley   +1 more source

Intelligence prediction of integrated circuit reliability based on SSA-LSTM fusion architecture. [PDF]

PLoS One
Qian Y, Liu B, Su B, Zhang C.
europepmc   +1 more source

An Integrated Deep Learning Framework Combining LSTM-CRF, GRU-CRF, and CNN-CRF with Word Embedding Techniques for Arabic Named Entity Recognition

Mahdi Ahmed Ali, Ahmed Bahaaulddin A. Alwahhab, Yaghoub Farjami   +2 more
openalex   +1 more source