Results 171 to 180 of about 497,808 (317)

Marine ecological information prediction by using adjacent location spatiotemporal deep learning model with ensemble learning techniques

Ecological Informatics
Rising sea temperatures and shifting tidal patterns, fuelled by climate change, cause formidable threats to marine ecosystems. Accurate prediction of sea surface temperature (SST) and tidal height (TH) is essential to address these challenges.
Yue-Shan Chang, Shu-Ting Huang, Basanta Haobijam, Satheesh Abimannan, Takayuki Kushida   +4 more
doaj  

Novel Electroactive Therapeutic Platforms for Cardiac Arrhythmia Management

Advanced Science, EarlyView.
Electroactive platforms offer promising applications in cardiac arrhythmia. Based on their energy sources and mechanisms, electroactive platforms are categorized into i) direct electrical stimulation, ii) self‐powered electroactive systems, iii) physical stimuli‐mediated electroactive systems, and iv) conductive systems, and their applications in ...
Juwei Yang, Longfei Li, Yiran Hu, Zhou Li, Wei Hua   +4 more
wiley   +1 more source

3D-Spatiotemporal Forecasting the Expansion of Supernova Shells Using Deep Learning toward High-Resolution Galaxy Simulations

, 2023
Keiya Hirashima, Kana Moriwaki, Michiko S. Fujii, Yutaka Hirai, Takayuki R. Saitoh, Junichiro Makino   +5 more
openalex   +2 more sources

A Review of Deep Learning Applications in Intrusion Detection Systems: Overcoming Challenges in Spatiotemporal Feature Extraction and Data Imbalance

Applied Sciences
In the rapid development of the Internet of Things (IoT) and large-scale distributed networks, Intrusion Detection Systems (IDS) face significant challenges in handling complex spatiotemporal features and addressing data imbalance issues.
Ya Zhang, Ravie Chandren Muniyandi, Faizan Qamar   +2 more
doaj   +1 more source

Molecular Engineering Strategies for Organic Pre‐Sodiation: Progress and Challenges

Advanced Science, Volume 12, Issue 15, April 17, 2025.
This review delves into the molecular engineering strategies for organic pre‐sodiation techniques, examining the intricate structure‐activity relationships between functional group modifications and oxidation decomposition/reduction potentials of organic pre‐sodiation materials.
Zhijian Cai, Huai Chen, Fujun Niu
wiley   +1 more source

A Spatiotemporal Deep Learning Solution For Automatic Micro-Expressions Recognition From Local Facial Regions

, 2019
Mouath Aouayeb, Wassim Hamidouche, Kidiyo Kpalma, Amel Benazza-Benyahia   +3 more
openalex   +2 more sources

From Multi‐Omics to Visualization and Beyond: Bridging Micro and Macro Insights in CAR‐T Cell Therapy

Advanced Science, EarlyView.
This review explores how multi‐omics, visualization technologies, and AI drive CAR‐T therapy from the micro to the macro level, from preclinical studies to clinical applications. The convergence of these approaches provides deeper insight into CAR‐T cell mechanisms, aids in structural optimization, and significantly enhances treatment efficacy and ...
Yuting Gong, Peng Fei, Yicheng Zhang, Yang Xu, Jia Wei   +4 more
wiley   +1 more source

Advancing rapid urban flood prediction: a spatiotemporal deep learning approach with uneven rainfall and attention mechanism

Journal of Hydroinformatics
Urban floods pose a significant threat to human communities, making its prediction essential for comprehensive flood risk assessment and the formulation of effective resource allocation strategies.
Yu Shao, Jiarui Chen, Tuqiao Zhang, Tingchao Yu, Shipeng Chu   +4 more
doaj   +1 more source

A spatiotemporal deep learning method for excavation-induced wall deflections

Journal of Rock Mechanics and Geotechnical Engineering
Data-driven approaches such as neural networks are increasingly used for deep excavations due to the growing amount of available monitoring data in practical projects. However, most neural network models only use the data from a single monitoring point and neglect the spatial relationships between multiple monitoring points.
Yuanqin Tao, Shaoxiang Zeng, Honglei Sun, Yuanqiang Cai, Jinzhang Zhang, Xiaodong Pan   +5 more
openaire   +2 more sources

The Dynamic Landscape of 3′‐UTR Alternative Polyadenylation Across Mouse Fetal Development and Anatomy

Advanced Science, EarlyView.
This work maps 3′‐UTR APA across mouse fetal development and tissues, identifying conserved sequence determinants that influence pAS choice. In fetal brain tissues, complex APA dynamics during development are potentially regulated by RBPs like Rbm38, which restrict distal pAS usage.
Qin Wang, Xin Chen, Xiao‐Ou Zhang
wiley   +1 more source