Results 171 to 180 of about 872,262 (305)

SETLr: the semantic extract, transform, and load-r

open access: yes, 2018
Semantic Extract, Transform, and Load-er (SETLr) is a flexible, scalable tool for providing semantic interpretations to tabular, XML, and JSON-based data from local or web files.
McCusker, Jamie   +4 more
core  

Symptom‐Driven Prediction of Chronic Multimorbidity with a Macro–Micro Heterogeneous Graph Neural Network

open access: yesAdvanced Science, EarlyView.
Clinical symptoms offer a window into multimorbidity. A macro‐micro heterogeneous graph neural network integrates clinical records with biomedical knowledge to improve patient‐level symptom‐disease association learning and visit‐level multimorbidity completion.
Yiheng Ye   +15 more
wiley   +1 more source

From Artificial to Embodied and Physical Intelligence in Smart Manufacturing

open access: yesAdvanced Science, EarlyView.
Smart manufacturing is reframed through complementary artificial, embodied, and physical intelligence, spanning computational reasoning, perception‐action coupling, and material‐level adaptation. Their integration across design, fabrication, operation, and maintenance reveals how intelligence can be co‐designed across algorithms, embodied agents, and ...
Kang Wang   +9 more
wiley   +1 more source

Metasurface‐Based Multidimensional Light‐Field Manipulation: From Technologies to Applications

open access: yesAdvanced Science, EarlyView.
Multidimensional metasurfaces enable versatile manipulation of multiple optical degrees of freedom, including phase, amplitude, polarization, wavelength, and orbital angular momentum. This review summarizes their fundamental mechanisms, emerging strategies for multidimensional light‐field control, and key applications in optical computing, imaging ...
Heliang Yin   +6 more
wiley   +1 more source

An Algorithm for Semantic Coordination

open access: yes, 2003
The problem of finding an agreement on the meaning of heterogeneous semantic models is one of the key issues in the development of the Semantic Web. In this paper, we propose (i) a general algorithm which implements a new approach, called CTXMATCH, for ...
Serafini, Luciano   +3 more
core  

Highly Linear Perovskite Synapses for Neuromorphic Computing

open access: yesAdvanced Science, EarlyView.
Voltage spikes applied to an Au/ACI‐phase perovskite/ITO memristor emulate the ionic signaling of a biological synapse, generating a tunable postsynaptic current. The vertically aligned perovskite film confines iodide‐vacancy migration, enabling highly linear, and symmetric conductance updates with 100 states and 5.5 aJ per event. Such synapses sustain
Zhongwen Sun   +7 more
wiley   +1 more source

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