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The proposed model can automatically satisfy the continuity of transverse shear stresses at interfaces.
The proposed model can automatically adapt for different materials experiencing different local failure modes.
The resultant model can automatically discover the appropriate number of experts in use and the weight of each expert.
The cracking information is not required for multiaxial fatigue analysis and the proposed model can automatically adapt for very different materials experiencing different failure modes.
The SAE model can automatically learn the implied relationship among the data without predefining the parameters, which is more expressive in the feature learning [10].
The proposed model can automatically find the new clustering center with the updated sample data, and outperforms several algorithms in data processing for the OWS.
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On the other hand, various machine learning (ML) models can automatically infer efficient rules (input transformations) from annotated corpora reducing development and maintenance costs.
These models can automatically be derived from the reaction scheme and dynamic simulations can be performed by scanning parameters of the normalized models.
The openEHR RM and AM are expressive enough to represent the existing clinical content models from the template based EHR system tested and legacy content models can automatically be converted to archetype format for sharing of knowledge.
Based on the above information models, our framework can automatically compare the response time of services on different cloud resources and use appropriate cloud resources for offloading.
The Network Model Manager can automatically parse CIM model and integrate the required information into LSE, including substation, node, breaker, switch, transformer, line segment, series capacitor, shunt device, etc. Regular update to EMS model is a common practice in real-time operations at ISOs and utilities.
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