Results 121 to 130 of about 2,719,560 (294)

Programmable Guest‐Induced 5‐Phase‐Transition Topological Reconstructions of Cobalt Formate Metal–Organic Frameworks

Advanced Science, EarlyView.
A reversible five‐phase topological cycle is achieved in a minimalist cobalt formate metal–organic framework. The amorphous phase functions as a programmable reactive hub, selectively reconstructing into four distinct crystalline architectures through cationic templates, humidity, or CO2.
Zhiyu Tao, Jingjian Li, Jing Ling, Tianxiang Chen, Wing‐Yiu Yu, Cong Lin, Tsz Woon Benedict Lo   +6 more
wiley   +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

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

Attentive Gated Recurrent Unit

, 2020
Recurrent Neural Network (RNN) can train time sequence data of complex information, and has also been successfully applied to issues such as handwriting recognition, image description, natural language processing, and video motion analysis.
Chi, Wei-Chih
core  

Cross‐scale Material‐Structure Synergy for 2D Metamaterials: Toward Customizable Intelligent Electromagnetic Manipulation in Multiphysics Fields

Advanced Science, EarlyView.
Recent advances in metasurface‐enabled low‐observable technologies are reviewed from the perspective of cross‐scale material–structure synergy. Electromagnetic, thermal, optical, and acoustic stealth are highlighted together with dynamic tuning, programmable coding, data‐driven inverse design, artificial intelligence, multispectral compatibility, and ...
Shuhao Wang, Xing Yang, Liping Liu, Yang Peng, Yangyang Wang, Hualiang Lv   +5 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

IPs-GRUAtt: An attention-based bidirectional gated recurrent unit network for predicting phosphorylation sites of SARS-CoV-2 infection. [PDF]

Mol Ther Nucleic Acids, 2023
Zhang G, Tang Q, Feng P, Chen W.
europepmc   +1 more source

Beyond Conventional: A Review of Phytochemical‐Hydrogel Systems Enhanced by AI and 3D Printing for Chronic Wound Management

Advanced Science, EarlyView.
This review systematically bridges chronic wound pathology with natural phytochemical hydrogel therapeutics. A pathology‐to‐phytochemical mechanistic mapping framework is established, linking specific wound hallmarks to targeted phytochemical interventions.
Yitao Zhou, Xing Liu, Cuiyi Wang, Xiaoxuan Zhao, Pengrun Zhang, Jingjing Gu, Qiuhua Sun, Malcolm Xing, Yeqin Yang   +8 more
wiley   +1 more source

Bio‐Memristor Based on Clinical Bile Samples: A Proof‐of‐Concept Pilot Study for Detection of Gallbladder Cancer

Advanced Science, EarlyView.
In this work, we present a bile‐based memristor hardware framework that enables direct, label‐free identification of cholelithiasis and gallbladder cancer at the device level. The Ag/bile/FTO memristor features stable resistive switching and disease‐specific electrical responses, providing a conceptual foundation for circuits and an integrated ERCP ...
Junming Zhu, Yiyin Rong, Bai Sun, Ziwen Sun, Yifan Wang, Xiaobin Ren, Zelin Cao, Kaikai Gao, Jiawei Yu, Zhenkun Wang, Haoxuan Ma, Jichun Guo, Kai Cao, Mengrun Kang, Songling Wang, Fenggang Ren, Yi Lv, Qiang Lu   +17 more
wiley   +1 more source

Harnessing Deep Learning and Snow Cover Data for Enhanced Runoff Prediction in Snow-Dominated Watersheds

Atmosphere
Predicting streamflow is essential for managing water resources, especially in basins and watersheds where snowmelt plays a major role in river discharge.
Rana Muhammad Adnan, Wang Mo, Ozgur Kisi, Salim Heddam, Ahmed Mohammed Sami Al-Janabi, Mohammad Zounemat-Kermani   +5 more
doaj   +1 more source