Results 61 to 70 of about 79,032 (283)

Fault Classification of a Blade Pitch System in a Floating Wind Turbine Based on a Recurrent Neural Network

한국해양공학회지, 2021
This paper describes a recurrent neural network (RNN) for the fault classification of a blade pitch system of a spar-type floating wind turbine. An artificial neural network (ANN) can effectively recognize multiple faults of a system and build a training
Seongpil Cho, Jongseo Park, Minjoo Choi
doaj   +1 more source

Cell‐cycle‐specific lesion evolution rather than inhibition of double‐strand‐break repair underpins cisplatin radiosensitization

Molecular Oncology, EarlyView.
We analyze cisplatin–DNA adducts (CDAs) and double‐strand breaks (DSBs) in a cell‐cycle‐dependent manner. We find that CDAs form similarly across all cell cycle phases. DSBs arise only in S‐phase. CDAs might not directly impair DSB repair, but S‐phase DSB lesions evolve in the presence of CDAs and disrupt repair in G2, also causing radiosensitization ...
Ye Qiu, Xixi Lin, Emil Mladenov, Veronika Mladenova, Jürgen Thomale, Ali Sak, Yao Wang, Yunxuan Deng, Eleni Gkika, Martin Stuschke, George Iliakis   +10 more
wiley   +1 more source

Deep Learning-Based Sentiment Analysis Using Gated Recurrent Unit

Andalasian International Journal of Applied Science, Engineering, and Technology
In today’s volatile financial markets, investor sentiment plays a crucial role in shaping market dynamics and influencing investment decisions. Traditional analytical methods often fail to capture the subtle emotional cues embedded in vast amounts of ...
Najeem Olawale Adelakun, Mariam Adenike Lasisi   +1 more
doaj   +1 more source

Hierarchical Gated Recurrent Unit with Semantic Attention for Event Prediction

Future Internet, 2020
Event prediction plays an important role in financial risk assessment and disaster warning, which can help government decision-making and economic investment.
Zichun Su, Jialin Jiang
doaj   +1 more source

Learning language through pictures

, 2015
We propose Imaginet, a model of learning visually grounded representations of language from coupled textual and visual input. The model consists of two Gated Recurrent Unit networks with shared word embeddings, and uses a multi-task objective by ...
Alishahi, Afra, Chrupała, Grzegorz, Kádár, Ákos   +2 more
core   +1 more source

Automated Image Captioning with Multi-layer Gated Recurrent Unit

2022 30th European Signal Processing Conference (EUSIPCO), 2022
Describing the semantic content of an image via natural language, known as image captioning, has recently attracted substantial interest in computer vision and language processing communities. Current image captioning approaches are mainly based on an encoder-decoder framework in which visual information is extracted by an image encoder and captions ...
Moral, Ozge Taylan, Kilic, Volkan, Onan, Aytug, Wang, Wenwu   +3 more
openaire   +1 more source

Erythropoietin modulates hepatic inflammation, glucose homeostasis, and soluble epoxide hydrolase and epoxides in high‐fat diet‐induced obese mice

FEBS Open Bio, EarlyView.
Erythropoietin administration suppresses hepatic soluble epoxide hydrolase (sEH) expression, leading to increased CYP‐derived epoxides. This is associated with a shift in hepatic macrophage polarization characterized by reduced M1 markers and increased M2 markers, along with reduced hepatic inflammation, suppressed hepatic lipogenesis, and attenuated ...
Takeshi Goda, Satoru Sugimoto, Chiharu Cho, Madoka Konishi, Nozomi Inoue, Satoshi Miyagaki, Yasuhiro Kawabe, Takuro Okamura, Masahide Hamaguchi, Hisakazu Nakajima, Michiaki Fukui, Masakazu Shinohara, Tomoko Iehara   +12 more
wiley   +1 more source

XDOcc: An Explainable Artificial Intelligence Empowered Deep Framework for Occupancy Detection and Occupant Count Estimation

IEEE Access
This study introduces explainable deep occupancy, a robust framework empowered by explainable artificial intelligence for high-accuracy occupancy detection and occupant count estimation in smart buildings.
Zeynep Turgut
doaj   +1 more source

Short-Term Load Forecasting Based on Adabelief Optimized Temporal Convolutional Network and Gated Recurrent Unit Hybrid Neural Network

IEEE Access, 2021
To fully mine the relationship between temporal features in load data, improve the accuracy and efficiency of short-term load forecasting and overcome the difficulties caused by load nonlinearity and volatility in accurate load forecasting. In this paper,
Hanhong Shi, Lei Wang, Rafal Scherer, Marcin Wozniak, Pengchao Zhang, Wei Wei   +5 more
doaj   +1 more source

MiR‐513a promotes human erythroid differentiation by modulating c‐Jun

FEBS Open Bio, EarlyView.
During early human erythropoiesis, miR‐513a promoted erythroid differentiation in primary human CD34+ hematopoietic stem‐progenitor cells and human TF‐1 erythroleukemic cells by indirectly decreasing c‐Jun and phospho‐c‐Jun expression, which are associated with increased GATA1 expression.
MinJung Kim, Brittany Taylor, Shannon Bolten, Christian L. Eberly, Mahliya Abdurahman, T. Michael Creed, Acong Yang, Taylor L. Hatchet, Tristan Dyson, Shuo Gu, Curt I. Civin, Tami J. Kingsbury   +11 more
wiley   +1 more source