Results 111 to 120 of about 18,004 (194)

A prediction method for offshore wind power ramp events in typhoon weather conditions

Zhejiang dianli
Typhoon weather conditions induce severe fluctuations in offshore wind power generation， posing a significant threat to the secure and stable operation of power systems. Accurate prediction of wind power ramp events is therefore crucial for ensuring grid
WANG Enrong, SU Xiangjing, GONG Junhao, LIU Zhengyu, FU Yang   +4 more
doaj   +1 more source

Developing an Intelligent System for Real-Time Sports Performance Feedback Using AI and Cloud Technologies

Journal of Applied Science and Engineering
Sports performance analysis is important for improving athlete training and decision-making, but many existing systems lack real-time feedback and efficient handling of complex movements.
Chenxi Qiao, Qiang Zhang
doaj   +1 more source

Analysis Comparison of BiLSTM and BiGRU Models for Aircraft Visibility Prediction

JTAM (Jurnal Teori dan Aplikasi Matematika)
Severe weather conditions such as fog and heavy precipitation pose significant threats to aviation safety. Accurate prediction of aircraft visibility is therefore essential to support operational decision-making and reduce the likelihood of accidents ...
Nayla Fitriyatus Saidah, Nurissaidah Ulinnuha, Yuniar Farida   +2 more
doaj   +1 more source

International Natural Uranium Price Prediction Based on TF-CNN-BiLSTM Model

Yuanzineng kexue jishu
International natural uranium price forecasting is vital for nuclear energy industry sustainability. Accurate predictions aid nuclear power enterprises in devising operational strategies and hedging against market volatility, while providing data support
YANG Jingzhe, XUE Xiaogang
doaj   +1 more source

Attention-based BiLSTM with positional embeddings for fake review detection

The proliferation of fake reviews has notably impacted consumer decision-making. However, due to the diversity and subtlety of fake reviews, traditional sequential models face challenges in capturing relative positional information and suffering from the
Jian Zhang, Tian Zhang, Wen Zhang, Jindong Chen, Zhichao Zheng, Zhihua Yan   +5 more
core   +1 more source

Bayesian-Optimized GCN-BiLSTM-Adaboost Model for Power-Load Forecasting

Accurate and stable power-load forecasting is crucial for optimizing generation scheduling and ensuring the economic and secure operation of power grids.
Jiarui Li, Jian Li, Guozheng Zhang, Jiatong Li   +3 more
core   +1 more source

Generalized Loss-Based CNN-BiLSTM for Stock Market Prediction

Stock market prediction (SMP) is challenging due to its uncertainty, nonlinearity, and volatility. Machine learning models such as recurrent neural networks (RNNs) have been widely used in SMP and have achieved high performance in terms of “minimum
Yong Liu, Qiangfu Zhao, Xiaosong Zhao
core   +1 more source

The architecture of the BiLSTM model for predicting BGLs.

The architecture of the BiLSTM model for predicting BGLs.
Zhongju Chen (3462413), Suruo Li (17965548), HuaZhong Yang (17965542), Jinfan Huang (17965545)   +3 more
core   +1 more source

Enhanced lung cancer detection using BiLSTM attention and transformer models on clinical text data. [PDF]

Sci Rep
Sankar BS, Natarajasivan D, Reddy MP.
europepmc   +1 more source

IoT-enabled smart home activity classification using BiLSTM and attention mechanisms. [PDF]

PLoS One
Pradhan SK, Gangashetty SV.
europepmc   +1 more source