Results 61 to 70 of about 5,130 (182)

A Lightweight and Erudite Automated BiLSTM‐Based Multi‐Cycle GAN for Retinal Blood Vessel and Optic Disc Segmentation in Fundus Images

Engineering Reports, Volume 8, Issue 8, August 2026.
This graphical abstract presents a lightweight and automated BiLSTM‐based Multi‐Cycle GAN framework for retinal blood vessel and optic disc segmentation in fundus images. Initially, fundus images undergo preprocessing, including green channel extraction, denoising, resizing, and dataset splitting.
Rasmita Kumari Mohanty, Amaravarapu Pramod Kumar, Yuvaraju Macha, Agraharam Siva Kumar, J. Srinivas, G. Shyama Chandra Prasad, Rajesh Kumar Verma, Shashi Kant   +7 more
wiley   +1 more source

Text Sentiment Orientation Analysis Based on Multi-Channel CNN and Bidirectional GRU With Attention Mechanism

IEEE Access, 2020
Convolutional Neural Network(CNN) and Recurrent Neural Network(RNN) have been widely used in the field of text sentiment analysis and have achieved good results.
Yan Cheng, Leibo Yao, Guoxiong Xiang, Guanghe Zhang, Tianwei Tang, Linhui Zhong   +5 more
doaj   +1 more source

Explainable Machine Learning With Hybrid Feature Selection for Thyroid Disease Classification: A Case Study in Bangladesh

Engineering Reports, Volume 8, Issue 8, August 2026.
Our research establishes a hybrid feature selection and ensemble machine learning pipeline for the classification of euthyroid, hyperthyroid, hypothyroid, and subclinical hypo‐ and hyperthyroid disorders. Variance Threshold with Backward Feature Elimination attained nearly 100% accuracy, while SHAP and LIME clarified the significance of features and ...
Md. Minhajul Abedin, Arka Chakraborty, Sawrav Das, Manoshi Das Turjo, Aditta Chowdhury, Mahdy Rahman Chowdhury   +5 more
wiley   +1 more source

Deep Learning–Based Fault Identification Testing Experiment for Bellows Valves

Science and Technology of Nuclear Installations
This study focuses on the fault identification of the pneumatic bellows valve. This valve plays an essential role in regulating system pressure to ensure the smooth progress of the tritium removal process.
Jianwen Guo, YongHeng Cai, Zihan Chen, Zonghao Tan, Honghua Qiu, Ning He, Yu Liu, Shuai Wang   +7 more
doaj   +1 more source

Three Hour Ahead PV Power Forecasting with Bidirectional Recurrent Networks: Insights into Monthly Variability

Revue des Énergies Renouvelables
Despite extensive research into PV power forecast models, their monthly performance is rarely thoroughly examined, creating gaps in our understanding of their accuracy and applicability across different times of the year. This paper focuses on evaluating
Ferial El Robrini, Badia Amrouche
doaj   +1 more source

Music Generation Based on Bidirectional GRU Model

Highlights in Science, Engineering and Technology
Lately, substantial advancements in the realm of deep learning have given rise to new approaches for autonomously generating music. This study has devised a generative framework intended to produce musical melodies. This framework capitalizes on bidirectional gated recurrent units (GRU) as its foundational architecture. To impart knowledge to the model,
openaire   +1 more source

Intraday Functional PCA Forecasting of Cryptocurrency Returns

Journal of Forecasting, Volume 45, Issue 5, Page 2186-2212, August 2026.
ABSTRACT We study the functional PCA (FPCA) forecasting method in application to functions of intraday returns on Bitcoin. We show that improved interval forecasts of future return functions are obtained when the conditional heteroscedasticity of return functions is taken into account.
Joann Jasiak, Cheng Zhong
wiley   +1 more source

Depth prediction of urban waterlogging based on BiTCN-GRU modeling.

PLoS ONE
With China's rapid urbanization and the increasing frequency of extreme weather events, heavy rainfall-induced urban waterlogging has become a persistent and pressing challenge.
Quan Wang, Mingjie Tang, Pei Shi
doaj   +1 more source

MIF‐MAPMS: Enhancing identification of myelin autoantigenic peptides in multiple sclerosis through multimodal information fusion

Protein Science, Volume 35, Issue 8, August 2026.
Abstract Multiple sclerosis (MS) arises from an autoimmune response in which the immune system erroneously targets myelin autoantigens within the central nervous system, leading to myelin degradation and subsequent neurological dysfunction. Identifying myelin autoantigenic peptides (MAPs) is therefore critical for understanding MS pathogenesis and ...
Watshara Shoombuatong, Nalini Schaduangrat, Pramote Chumnanpuen, Lawankorn Mookdarsanit, Pakpoom Mookdarsanit   +4 more
wiley   +1 more source

Optimizing RNNs for EMG Signal Classification: A Novel Strategy Using Grey Wolf Optimization

Bioengineering
Accurate classification of electromyographic (EMG) signals is vital in biomedical applications. This study evaluates different architectures of recurrent neural networks for the classification of EMG signals associated with five movements of the right ...
Marcos Aviles, José Manuel Alvarez-Alvarado, Jose-Billerman Robles-Ocampo , Perla Yazmín Sevilla-Camacho , Juvenal Rodríguez-Reséndiz   +4 more
doaj   +1 more source