Results 31 to 40 of about 10,208 (167)

CTBANet: Convolution transformers and bidirectional attention for medical image segmentation

Alexandria Engineering Journal
In the last few years, Transformer has revolutionized the area of medical image segmentation. Several similar studies have used the UNet architecture to combine convolutional neural networks with transformers.
Sha Luo, Li Pan, Yuanming Jian, Yunjiao Lu, Sisi Luo   +4 more
doaj   +1 more source

BRENT: Bidirectional Retrieval Enhanced Norwegian Transformer

, 2023
Retrieval-based language models are increasingly employed in question-answering tasks. These models search in a corpus of documents for relevant information instead of having all factual knowledge stored in its parameters, thereby enhancing efficiency, transparency, and adaptability.
Charpentier, Lucas Georges Gabriel, Wold, Sondre, Samuel, David, Rønningstad, Egil   +3 more
openaire   +3 more sources

A hybrid LSTM and transformer model for analyzing e-commerce user behavior and path optimization [PDF]

PeerJ Computer Science
In the e-commerce live streaming environment, consumer behavior is highly dynamic and uncertain, coupled with drastic fluctuations in traffic, making accurate demand forecasting a major challenge that traditional forecasting models are unable to handle ...
Shuxin Yi, Wenbin Zhao
doaj   +2 more sources

Sentiment Analysis About Investors and Consumers in Energy Market Based on BERT-BiLSTM

IEEE Access, 2020
With the rapid development of social media, the number of online comments has exploded, and more and more people are willing to express their attitudes and feelings on the Internet.
Ren Cai, Bin Qin, Yangken Chen, Liang Zhang, Ruijiang Yang, Shiwei Chen, Wei Wang   +6 more
doaj   +1 more source

Real-Time Efficient Approximation of Nonlinear Fractional-Order PDE Systems via Selective Heterogeneous Ensemble Learning

Fractal and Fractional
Rod-pumping systems represent complex nonlinear systems. Traditional soft-sensing methods used for efficiency prediction in such systems typically rely on complicated fractional-order partial differential equations, severely limiting the real-time ...
Biao Ma, Shimin Dong
doaj   +1 more source

BiTG4Rec: Bidirectional Transformer Graphs for Sequential-Social Recommendation

IEEE Access
Sequential-social recommendation systems are essential for understanding users’ evolving interests and predicting their future behaviors. While existing methods employing bidirectional graph modeling have shown promising results in capturing user ...
Nikorn Kannikaklang, Sartra Wongthanavasu   +1 more
doaj   +1 more source

Analysis and Design of an Air-Coupled DC Transformer with a Hybrid Modulation Control Method

Energies, 2019
DC micro-grid is gaining increasing attention recently due to its highly efficient energy utilization and flexible energy exchange capabilities. In this paper, an air-coupled DC−DC transformer is proposed for the interconnection between the active ...
Song Xu, Wei Jiang, Seiji Hashimoto
doaj   +1 more source

Graph-to-Text Generation with Bidirectional Dual Cross-Attention and Concatenation

Mathematics
Graph-to-text generation (G2T) involves converting structured graph data into natural language text, a task made challenging by the need for encoders to capture the entities and their relationships within the graph effectively.
Elias Lemuye Jimale, Wenyu Chen, Mugahed A. Al-antari, Yeong Hyeon Gu, Victor Kwaku Agbesi, Wasif Feroze, Feidu Akmel, Juhar Mohammed Assefa, Ali Shahzad   +8 more
doaj   +1 more source

Research and Modeling of the Bidirectional Half-Bridge Current-Doubler DC/DC Converter

International Journal of Rotating Machinery, 2017
Due to its high step-up voltage ratio, high utilization rate, and good stability, the bidirectional half-bridge current-doubler topology is widely used in lithium battery system.
Liang Huang, Xinchao Dong, Changjun Xie, Shuhai Quan, Yang Gao   +4 more
doaj   +1 more source

Fusing Transformer-XL with bi-directional recurrent networks for cyberbullying detection [PDF]

PeerJ Computer Science
Identifying cyberbullying in languages other than English presents distinct difficulties owing to linguistic subtleties and scarcity of annotated datasets.
Md. Mithun Hossain, Md. Shakil Hossain, Md. Shakhawat Hossain, M. Firoz Mridha, Mejdl Safran, Sultan Alfarhood, Dunren Che   +6 more
doaj   +2 more sources