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Real-time Neuron Segmentation for Voltage Imaging
In voltage imaging, where the membrane potentials of individual neurons are recorded at from hundreds to thousand frames per second using fluorescence microscopy, data processing presents a challenge.
High-Accuracy Prediction of Metal-Insulator-Metal Metasurface with Deep Learning
The ultralow error of the network indicates that this work contributes to the development of future artificial intelligence electromagnetic computing software.
ESCL: Equivariant Self-Contrastive Learning for Sentence Representations
Previous contrastive learning methods for sentence representations often focus on insensitive transformations to produce positive pairs, but neglect the role of sensitive transformations that are harmful to semantic representations.
AI Based Digital Twin Model for Cattle Caring
The digital twins model developed in this work can be used to monitor the health of cattle
Automatic Business Process Structure Discovery using Ordered Neurons LSTM: A Preliminary Study
Automatic process discovery from textual process documentations is highly desirable to reduce time and cost of Business Process Management (BPM) implementation in organizations.
