Results 71 to 80 of about 6,008 (208)

Comparative AI‐Based Framework for Name‐Based Demographic Inference in the Indian Subcontinent

Engineering Reports, Volume 8, Issue 6, June 2026.
A multi‐task framework of five AI models (SVM, XGBoost, LightGBM, BiLSTM, and XLM‐RoBERTa) infers nationality, religion, and gender from personal names across seven Indian subcontinent countries. Character‐level TF‐IDF with SVM achieves the highest accuracy: 83.23% for nationality, 92.94% for religion, and 92.67% for gender across 7581 names.
Sherin Sultana, Zaed Bin Monir Atib, Md. Omur Faruk Redoy, Md. Ataur Rahman, Mohammad Shorif Uddin, Md. Tarek Habib   +5 more
wiley   +1 more source

Stacking Ensemble Modeling of Bidirectional LSTM and Bidirectional GRU for Air Temperature Prediction in Ngawi

Artificial Neural Networks (ANN) have rapidly developed and are used in forecasting, classification, and regression by mimicking how the human brain processes data.
Nike Yustina Oktaviani, Iqbal Kharisudin
core   +2 more sources

Prediction Method of TBM Tunneling Parameters Based on Bi-GRU-ATT Model

, 2022
With tunnel boring machines (TBMs) widely used in tunnel construction, the adaptable adjustment of TBM operating status has become a research focus.
Chen Guo, Anmin Cai, Boyu Yang, Chong Jiao, Yanwen Zhu, Qinglong Zhang   +5 more
core   +1 more source

AI‐Driven Optimization of a Hybrid PV–Wind–BESS Microgrid for a Rural Educational Institution in Developing Countries

Energy Science &Engineering, Volume 14, Issue 6, Page 2839-2873, June 2026.
An AI‐driven CNN–LSTM forecasting framework is integrated with HOMER Pro to optimally design a grid‐connected PV–wind–BESS microgrid for a rural school in Bangladesh, achieving 91.7% renewable penetration, low energy cost (0.0397 USD/kWh), and an 81.5% reduction in CO2 emissions. ABSTRACT Hybrid renewable microgrid planning in HOMER Pro often relies on
Robiul Khan, Md. Wajed Ali, Md. Feroz Ali, Md. Shafiul Alam, Mohammad Ali, Imil Hamda Imran   +5 more
wiley   +1 more source

Interactive Attention-Based Convolutional GRU for Aspect Level Sentiment Analysis

, 2021
Aspect level sentiment analysis aims at identifying sentiment polarity towards specific aspect terms in a given sentence. Most methods based on deep learning integrate Recurrent Neural Network (RNN) and its variants with the attention mechanism to model ...
Lisha Chen, Tianrui Li, Chengfeng Yin, Huaishao Luo   +3 more
core   +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

Degradation Prediction of Proton‐Exchange Membrane Fuel Cell Tested Under Static and Quasi‐Dynamic Operating Conditions

Fuel Cells, Volume 26, Issue 3, June 2026.
ABSTRACT The viability and extended lifetime of proton‐exchange membrane (PEM) fuel cells are essential to enable hydrogen electric aviation. Their reliability, that is, the ability to maintain stable performance over long operational periods under varying environmental and load conditions, is a critical factor for their adoption in aviation systems ...
Matthew Georgio Dekkers, Marcia L. Baptista, Helmut Prendinger   +2 more
wiley   +1 more source

Efficient Network Traffic Classification and Visualizing Abnormal Part Via Hybrid Deep Learning Approach : Xception + Bidirectional GRU

, 2021
Due to a rapid development in the field of information and communication, the information technologies yielded novel changes in both individual and organizational operations.
ChangHui Yun, HanSeon Joo, HaYoung Choi, MinJong Cheon   +3 more
core   +2 more sources