Results 81 to 90 of about 8,738,264 (288)
Aqueous Zn(II) Salphen metallofibers decorated with PNIPAM undergo reversible, multi‐stimuli‐responsive hierarchical bundling. This higher‐order structuring kinetically stabilizes the otherwise fragile assemblies against dilution, acidic hydrolysis, and transmetallation, enables selective sorting of responsive fibers, and programs hydrogelation at ...
Merlin R. Stühler +5 more
wiley +1 more source
Dynamic Evolution and Relation Perception for Temporal Knowledge Graph Reasoning
Temporal knowledge graphs (TKGs) incorporate temporal information into traditional triplets, enhancing the dynamic representation of real-world events.
Yuan Huang +3 more
doaj +1 more source
Integrate Temporal Graph Learning into LLM-based Temporal Knowledge Graph Model
emporal Knowledge Graph Forecasting (TKGF) aims to predict future events based on the observed events in history. Recently, Large Language Models (LLMs) have exhibited remarkable capabilities, generating significant research interest in their application for reasoning over temporal knowledge graphs (TKGs).
He Chang +5 more
openaire +3 more sources
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
We mechanically program liquid crystal elastomer coatings as a stimuli‐responsive and digitally addressable platform for refreshable tactile displays; we validate the perceptual performance of our dynamic device matches conventional static tactile media.
Tom Bruining +9 more
wiley +1 more source
Review of construction and reasoning methods for knowledge graphs in coal mining domain
Knowledge from diverse data sources in the coal mining domain is extracted to construct a knowledge network. Leveraging reasoning technologies, this network supports equipment fault diagnosis, real-time safety risk warnings and responses, disaster cause ...
LUO Xiangyu +4 more
doaj +1 more source
Knowledge representation through graphs [PDF]
Due to the increasing amount of data, knowledge aggregation, representation and reasoning are highly important for companies. In this paper, knowledge aggregation is presented as the first step.
Pedrycz, Witold +2 more
core +2 more sources
Micro‐topographical cues applied through temporally controlled microscale confinement improve the reproducibility, spatial organization, and neurosensory‐associated features of pluripotent stem cell‐derived inner ear organoids. Integration with a vascularized organoid platform further enables controlled investigation of vascular‐epithelial interactions
Harshita Sharma +15 more
wiley +1 more source
FedMDKGE: Multi-granularity Dynamic Knowledge Graph Embedding in Federated Learning
As knowledge is time-sensitive, some researchers have started to focus on dynamic knowledge graphs to provide time-dimensioned knowledge content thus reflecting richer information.
Wei Huang +5 more
doaj +1 more source
Spatio-Temporal Graphs in Transportation: Challenges, Optimization, and Prospects
Intelligent and information systems in transportation record and accumulate large volumes of raw data on dynamic transportation processes. However, these data are not fully utilized for forecasting, real-time planning, and transportation management ...
Aleksandr Rakhmangulov +2 more
doaj +1 more source

