Results 11 to 20 of about 18,004 (194)
Leveraging BiLSTM for Deep Learning-Based Mental Health Chatbots [PDF]
Informatics, Electrical, and Electronics EngineeringThe high prevalence of mental health issues and limited access to professional information and support have driven the search for innovative solutions. One promising approach is the development of chatbot systems that provide quick and accessible mental ...
Nur Afnis Agustina +2 more
doaj +2 more sources
An EEMD-BiLSTM Algorithm Integrated with Boruta Random Forest Optimiser for Significant Wave Height Forecasting along Coastal Areas of Queensland, Australia [PDF]
, 2021 Using advanced deep learning (DL) algorithms for forecasting significant wave height of coastal sea waves over a relatively short period can generate important information on its impact and behaviour.
Nawin Raj +4 more
core +1 more source
CNN-BiLSTM-attention serial structure model.
, 2023 The problem of dust pollution in the open-pit coal mine significantly impacts the health of staff, the regular operation of mining work, and the surrounding environment. At the same time, the open-pit road is the largest dust source.
Caiwang Tai (12506662) +6 more
core +1 more source
CNN-BiLSTM-attention parallel structure model.
, 2023 The problem of dust pollution in the open-pit coal mine significantly impacts the health of staff, the regular operation of mining work, and the surrounding environment. At the same time, the open-pit road is the largest dust source.
Caiwang Tai (12506662) +6 more
core +1 more source
1DCNN-BiLSTM-Transformer Hypertension Risk Prediction Model Based on APW
Introduction: Hypertension has a multifactorial etiology. Recent studies have revealed a link between hypertension and gut microbiota dysbiosis. Pulse wave analysis holds significant clinical value for hypertension risk assessment. While research on deep
Huiyu Zhou (20342400) +4 more
core +5 more sources
Short-Term Aggregated Residential Load Forecasting using BiLSTM and CNN-BiLSTM
, 2023 Higher penetration of renewable and smart home technologies at the residential level challenges grid stability as utility-customer interactions add complexity to power system operations.
Fernandez, Raymond I. +3 more
core +1 more source
You Look at the Face of an Angel: An Innovative Hybrid Deep Learning Approach for Detecting Down Syndrome in Children's Faces Through Facial Analysis [PDF]
Journal of Artificial Intelligence and Data MiningTraditional Down syndrome identification often relies on professionals visually recognizing facial features, a method that can be subjective and inconsistent.
Khosro Rezaee
doaj +1 more source
CEEMD-PSO-BiLSTM network structure.
, 2023 CEEMD-PSO-BiLSTM network structure.
Xuan Wang (55634) +5 more
core +1 more source