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IN/OUT is the pair of system primitives that is responsible for the communication and data exchange between system components and peripherals.
In this respect K2, a data mining algorithm, is used for finding associations between system components, and thus building the BN model.
Recalling methodological discussions both in system engineering and in risk analysis, the proposed approach emphasizes the importance to study such complex systems adopting a holistic approach, thus taking into consideration interactions between system components and the surrounding environment.
Nevertheless, the planning and implementation of experiments, the analysis of the full array of interactions between system components and bed materials, internal surfaces and measurement devices, and interpretation of results to diagnose abnormal operating conditions present operators with a range of difficult intellectual challenges.
The associations between system components and intermediate outcomes of diabetes care were assessed using multivariate probit regression [ 14].
Our second hypothesis is that connections and linkages between system components and relevant stakeholders are as important as the interventions themselves and should be given careful consideration.
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Optimization Gateway is seen as the interface between OCSO system components and service provider clouds.
Layout design candidates are represented using a sequence-pair scheme to prevent interferences between assembly system components, and the introduction of dummy components is proposed to represent layout areas where components are sparse.
Next, layout design candidates are represented using a sequence-pair scheme to avoid interference between assembly system components, and the use of dummy components is proposed to represent layout areas where components are sparse.
Probabilistic risk analysis (PRA) is suggested as a valid method for representing and understanding the interactions between different system components and environmental factors, while studying system reliability and risks for electricity supply.
Subsequently, we interpret and learn the system using computer vision techniques: First, we present analogies between the system components and computer vision techniques and interpret the network as minimizing a cost functional, thereby establishing a link with variational techniques.
More suggestions(15)
between food components and
between system analysts and
between asphalt components and
between oil components and
between hardware components and
between tea components and
between kinetochore components and
between fluid components and
between intervention components and
between system features and
between system requirements and
between complement components and
between ecosystem components and
between load components and
between system developers and
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