Results 81 to 90 of about 6,021 (251)

Robust autoregressive bidirectional gated recurrent units model for short-term power forecasting

Engineering Applications of Artificial Intelligence
Accurate short-term power forecasting (STPF) provides reliable support for the stable operation of power systems. However, due to the randomness of consumer behavior and energy properties, outliers inevitably exist in power series. Considering its negative influence, effectively extracting features from the power series with outliers has become a ...
Yang Yang 0052, Zijin Wang, Shangrui Zhao, Hu Zhou, Jinran Wu   +4 more
openaire   +3 more sources

Students learning performance prediction based on feature extraction algorithm and attention-based bidirectional gated recurrent unit network. [PDF]

PLoS One, 2023
Yin C, Tang D, Zhang F, Tang Q, Feng Y, He Z.   +5 more
europepmc   +1 more source

Chromatin Packing Domain Engineering Through the Manipulation of Nuclear Cationic States

Advanced Science, EarlyView.
Manipulation of intranuclear divalent cation concentrations rapidly and reversibly remodels chromatin packing domains in living cells. Magnesium depletion disrupts domain compaction, heterochromatin organization, and transcriptional regulation, whereas magnesium loading promotes more compact and stable domains.
Cody L. Dunton, Carrillo Paola Gonzalez, Luay Almassalha, Wing Shun Li, Ruyi Gong, Nicolas Acosta, I Chae Ye, Jane Frederick, Christopher Hogg, Saira John, J. A. Gareth Williams, Rikkert J. Nap, Igal Szleifer, Vadim Backman   +13 more
wiley   +1 more source

BiGKbhb: a bi-directional gated recurrent unit model for predicting lysine β-hydroxybutyrylation sites

BMC Genomics
Post-Translational Modifications (PTMs) are covalent chemical alterations that occur after protein synthesis, critically regulating protein function, localization, and interactions.
Heba M. Elreify, Fathi E. Abd El-Samie, Moawad I. Dessouky, Hanaa Torkey, Said E. El-Khamy, Wafaa A. Shalaby   +5 more
doaj   +1 more source

A Novel Hybrid Approach Using an Attention-Based Transformer + GRU Model for Predicting Cryptocurrency Prices

Mathematics
In this article, we introduce a novel deep learning hybrid model that integrates attention Transformer and gated recurrent unit (GRU) architectures to improve the accuracy of cryptocurrency price predictions.
Esam Mahdi, Carlos Martin-Barreiro, Xavier Cabezas   +2 more
doaj   +1 more source

The Bidirectional Gated Recurrent Unit Network Based on the Inception Module (Inception-BiGRU) Predicts the Missing Data by Well Logging Data. [PDF]

ACS Omega, 2023
Sun Y, Zhang J, Yu Z, Zhang Y, Liu Z.
europepmc   +1 more source

Photo‐Gated Corona Microfluidics

Advanced Science, EarlyView.
Photo‐gated corona microfluidics decouples optical programming from electric‐field actuation to enable reconfigurable manipulation on open, electrode‐pattern‐free surfaces. Near‐infrared irradiation locally melts paraffin, creating a reversible charge‐relaxation pathway that reconstructs the electric field.
Xiaxia Cui, Yiqing Liu, Xinyi Qiu, Manfei Liu, Biao Cheng, Yuan Zhou, Changguo Xue, Sheng Zhang, Xin Tang, Qiang Tang   +9 more
wiley   +1 more source

i4mC-GRU: Identifying DNA N⁴-Methylcytosine sites in mouse genomes using bidirectional gated recurrent unit and sequence-embedded features. [PDF]

Comput Struct Biotechnol J, 2023
Nguyen-Vo TH, Trinh QH, Nguyen L, Nguyen-Hoang PU, Rahardja S, Nguyen BP.   +5 more
europepmc   +1 more source

Unveiling the Uncharted Potential of 2D Materials in Li/Na–S Batteries: A Paradigm Shift From Graphene

Advanced Science, EarlyView.
This review explores emerging 2D materials beyond graphene, including graphdiyne, phosphorene, borophene, siloxene, MBene, antimonene, and germanene for Li/Na–S batteries. It analyzes their roles as sulfur hosts, metallic anode protectors, separators, and electrolyte fillers, emphasizing polysulfide suppression, dendrite inhibition, and interfacial ...
Naveen Kumar T. R, Xuebing Zhu, Yao‐Jie Lei, Lei Zhang, Hua Kun Liu, Weihong Lai, Guoxiu Wang, Yun‐Xiao Wang   +7 more
wiley   +1 more source

Deep learning-based approaches for abusive content detection and classification for multi-class online user-generated data

International Journal of Cognitive Computing in Engineering
With the rapid growth of social media culture, the use of offensive or hateful language has surged, which necessitates the development of effective abusive language detection models for online platforms.
Simrat Kaur, Sarbjeet Singh, Sakshi Kaushal   +2 more
doaj   +1 more source