LAUSR

Improving protein disorder prediction by deep bidirectional long short‐term memory recurrent neural networks

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0 Published in 2017 at "Bioinformatics"

DOI: 10.1093/bioinformatics/btw678

Abstract: Motivation: Capturing long‐range interactions between structural but not sequence neighbors of proteins is a long‐standing challenging problem in bioinformatics. Recently, long short‐term memory (LSTM) networks have significantly improved the accuracy of speech and image classification… read more here.

Keywords: neural networks; disorder; disorder prediction; recurrent neural ... See more keywords

GUniER: GPT-Enhanced Joint Extraction of Entities and Relations Through Integrated Deep Bidirectional Semantics and Unified Modeling

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0 Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3512553

Abstract: Entity and relation extraction are key tasks in natural language processing (NLP) and knowledge graph construction. However, existing methods often overlook the complex interactions between entities and their relations. To address this problem, we propose… read more here.

Keywords: semantics; extraction entities; entities relations; deep bidirectional ... See more keywords

Seismic Data Reconstruction Using Deep Bidirectional Long Short-Term Memory With Skip Connections

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0 Published in 2021 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2020.2993847

Abstract: Due to environmental and economic constraints on their acquisition, seismic data are always irregularly sampled and include bad or missing traces, which can cause problems for seismic data processing. Recently, many researchers have attempted to… read more here.

Keywords: data reconstruction; seismic data; reconstruction using; deep bidirectional ... See more keywords

A Deep Bidirectional LSTM Model Enhanced by Transfer-Learning-Based Feature Extraction for Dynamic Human Activity Recognition

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0 Published in 2024 at "Applied Sciences"

DOI: 10.3390/app14020603

Abstract: Dynamic human activity recognition (HAR) is a domain of study that is currently receiving considerable attention within the fields of computer vision and pattern recognition. The growing need for artificial-intelligence (AI)-driven systems to evaluate human… read more here.

Keywords: deep bidirectional; recognition; feature extraction; learning based ... See more keywords

Protein Solvent-Accessibility Prediction by a Stacked Deep Bidirectional Recurrent Neural Network

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0 Published in 2018 at "Biomolecules"

DOI: 10.3390/biom8020033

Abstract: Residue solvent accessibility is closely related to the spatial arrangement and packing of residues. Predicting the solvent accessibility of a protein is an important step to understand its structure and function. In this work, we… read more here.

Keywords: stacked deep; network; accessibility; deep bidirectional ... See more keywords