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We evaluate the performance of the approach with benchmark datasets and demonstrate its utility in different application scenarios, including the construction and simulation of control system or mechanical vibratory system models from hand-sketched or camera-captured images, content-based image retrieval for resonant circuits and sematic-aware image editing for floor plans.
The purpose of this comparison is to evaluate the performance of the approach with interacting pseudo-agents compared to the approach without interaction in terms of resource utilization, patient waiting time for assessment and treatment and flow time.
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Further work is required to improve the performance of this approach with simpler data such as names.
The results also show that the performance of the approach varies with the ratio of REM sleep and the severity of sleep apnea of the subjects.
We compared the performance of the transcriptomic approach with that of chemogenomic approach (note that the transcriptomic approach corresponds to the classification method with compound and protein expression similarity, whereas the chemogenomic approach corresponds to the classification method with compound structure and protein sequence similarity).
The proposed approach is extensively tested on the benchmark problems and performance of the approach is compared with existing algorithms.
We evaluated the performance of the approach described above with typical Australian residential address data using two data sources.
A future study will contrast the performance of the AHZ approach with the no-AHZ approach.
Numerical experiments were performed to compare estimation performance of the ML approach with that of MED.
Comprehensive simulations are performed to quantify the performance of the cooperative approach with different antenna models and spatial reuse strategies.
There were two main evaluation objectives - review the current experiences of the CLTS approach in terms of achievements; barriers; and opportunities for further strengthening and scaling-up and comparison the performance of the CLTS approach with that of subsidized sanitation approaches in terms of sustainability, equity and access, effectiveness, and efficiency/ cost-effectiveness of CLTS.
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