Results 111 to 120 of about 16,939 (236)
Scientific ReportsTo create a cultural gene map and extract information, this paper introduces a two-way long and short-term memory network (LSTM) model and verifies it using Jinxiu Yao headwear as an example.
Xing Ding, Jing Wang
doaj +1 more source
Quality and Reliability Engineering International, EarlyView.ABSTRACT Health condition assessment of mechanical systems is essential to ensure their safe and reliable operation. Although AI‐driven diagnostic techniques have advanced significantly with the development of deep learning, the reliability of such techniques is often compromised due to the lack of uncertainty quantification (UQ)—particularly the ...
Guangjun Jiang, Haotian Ouyang, Zifei Xu
wiley +1 more source
DETEKSI DEPRESI DAN KECEMASAN PENGGUNA TWITTER MENGGUNAKAN BIDIRECTIONAL LSTM
, 2021 Gangguan mental yang paling umum dialami seseorang dalam kehidupan sehari-hari adalah depresi dan kecemasan. Stigma sosial membuat penderita depresi dan kecemasan diabaikan lingkungan sekitarnya.
Istiadi, Istiadi +3 more
core +1 more source
A novel privacy-preserving speech recognition framework using bidirectional LSTM
, 2020 © 2020, The Author(s). cc-byUtilizing speech as the transmission medium in Internet of things (IoTs) is an effective way to reduce latency while improving the efficiency of human-machine interaction.
Sheng, Victor S. +4 more
core +1 more source
Favorite Video Classification Based on Multimodal Bidirectional LSTM [PDF]
, 2018 Video classification based on the user's preference (information of what a user likes: WUL) is important for realizing human-centered video retrieval. A better understanding of the rationale of WUL would greatly contribute to the support for successful ...
Ogawa, Takahiro +3 more
core +1 more source
Integrating multimodal data and machine learning for entrepreneurship research
Strategic Entrepreneurship Journal, EarlyView.Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley +1 more source
Movie Genre Classification from Plot Summaries Using Bidirectional LSTM
, 2018 Movie plot summaries are expected to reflect the genre of movies since many spectators read the plot summaries before deciding to watch a movie. In this study, we perform movie genre classification from plot summaries of movies using bidirectional LSTM ...
Ertugrul, Ali Mert +4 more
core +1 more source
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Accurately predicting line loss rates is crucial for effective management in distribution networks, particularly for short‐term multihorizon forecasts ranging from 1 hour to 1 week. In this study, we propose attention‐GCN–LSTM, a novel method that integrates graph convolutional networks (GCN), long short‐term memory (LSTM) and a three‐level ...
Jie Liu +4 more
wiley +1 more source
Sensors, 2018 The real-time prediction of ship behavior plays an important role in navigation and intelligent collision avoidance systems. This study developed an online real-time ship behavior prediction model by constructing a bidirectional long short-term memory ...
Miao Gao, Guoyou Shi, Shuang Li
doaj +1 more source
IET Smart Energy Systems, EarlyView.A PER‐MATD3‐based bidding model for generators in day‐ahead joint energy and reserve markets is proposed. An aggressiveness coefficient quantifies risk preference, KAN improves interpretability and simulation results demonstrate enhanced coordinated decision‐making and training stability.
Xinge Xu +5 more
wiley +1 more source