Results 81 to 90 of about 84,629 (319)
Spatiotemporal Deep Learning for Power System Applications: A Survey
Understanding spatiotemporal correlations in power systems is crucial for maintaining grid stability, reliability, and efficiency. By discerning connections between spatial and temporal dimensions, operators can anticipate and address issues such as ...
Mohsen Saffari, Mahdi Khodayar
doaj +1 more source
Organic Electrochemical Transistors for Neuromorphic Devices and Applications
Organic electrochemical transistors are emerging as promising platforms for neuromorphic devices that emulate neuronal and synaptic activities and can seamlessly integrate with biological systems. This review focuses on resultant organic artificial neurons, synapses, and integrated devices, with an emphasis on their ability to perform neuromorphic ...
Kexin Xiang +4 more
wiley +1 more source
Recent Advances in Collective Behaviors of Micro/Nanomotor Swarms
This review describes the driving forces behind collective motion, explores the self‐organization of micro/nano swarms across zero‐dimensional (0D), one‐dimensional (1D), two‐dimensional (2D), and three‐dimensional (3D) spaces, and highlights their potential in drug delivery, environmental monitoring, and smart devices.
Siwen Sun +4 more
wiley +1 more source
Spatiotemporal Soil Moisture Prediction Using a Causal-Guided Deep Learning Model
The spatiotemporal prediction of RZSM refers to the process of estimating its future spatial distribution and temporal variations using predictive models.
Tingtao Wu +8 more
doaj +1 more source
Materials and System Design for Self‐Decision Bioelectronic Systems
This review highlights how self‐decision bioelectronic systems integrate sensing, computation, and therapy into autonomous, closed‐loop platforms that continuously monitor and treat diseases, marking a major step toward intelligent, self‐regulating healthcare technologies.
Qiankun Zeng +9 more
wiley +1 more source
Recent Progress on Flexible Multimodal Sensors: Decoupling Strategies, Fabrication and Applications
In this review, we establish a tripartite decoupling framework for flexible multimodal sensors, which elucidates the underlying principles of signal crosstalk and their solutions through material design, structural engineering, and AI algorithms. We also demonstrate its potential applications across environmental monitoring, health monitoring, human ...
Tao Wu +10 more
wiley +1 more source
Spatiotemporal Deep Learning Model for Prediction of Taif Rose Phenotyping [PDF]
Hala M. Abdelmigid +7 more
openalex +1 more source
This study describes the fabrication of arrays of luminal tissue constructs for 3D luminal tissue modeling. An oil or media‐filled reservoir between constructs serves as a liquid barrier or bridge to regulate communication between lumens within the array for modeling multi‐tissue interactions in vitro. Abstract Cell‐lined luminal structures are crucial
Mouhita Humayun +9 more
wiley +1 more source
This review explores recent advances in digital micromirror device (DMD)‐based lithography, focusing on its programmable light modulation, multi‐material compatibility, and dimensional patterning strategies. It highlights innovations from optical system design to materials integration and multifunctional applications, positioning DMD lithography as a ...
Yubin Lee +5 more
wiley +1 more source
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 +4 more
doaj +1 more source

