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Absorbed dose heterogeneity is a commonly acknowledged issue associated with radioembolisation due to its vascular embolic localisation mechanism, particularly in comparison to traditional methods of irradiation employing EBRT.
In comparison to traditional methods with complicated procedure and limited scalability, a new process is impending for graphene sensor fabrication with designable shape and controllable performance.
Results show both of these methods can be used as efficient frameworks to decompose optimization problems in linear time, in comparison to traditional methods which require polynomial time.
The trend shows that new generation artificial intelligence algorithms are mostly used during last decade as these require less computation time and have better accuracy, good convergence in comparison to traditional methods.
This paper presents a novel dimensioning technique for WiMAX technology which takes the dimensioning problem to a new level and produces more accurate results in comparison to traditional methods.
The potential for animal behavior to contribute to conservation is growing in sub-disciplines ranging from social behavior to animal learning, but progress in utilizing behavioral research will rely on increasing access to evidence of its effectiveness in comparison to traditional methods.
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It was concluded that in comparison to traditional SIA methods SD simulation can integrate quantitative and qualitative inputs from different sources and methods and provides a more effective and dynamic assessment of social impacts for development projects.
In comparison to traditional manufacturing methods, laser engineered net shaping (LENS) additive manufacturing (AM) has many good properties to overcome the drawbacks of traditional manufacturing methods.
Many researchers who study the impact of computer-based assessment (CBA) focus on the affordances or complexities of CBA approaches in comparison to traditional assessment methods.
This work shows that MLP neural networks can accurately model the relationship between local meteorological data and NO2 and NO x concentrations in an urban environment and the performance of ANNs is generally superior in comparison to traditional statistical methods, such as multiple regressions.
The findings of numerous research studies also exhibit that the performance of ANNs is generally superior in comparison to traditional statistical methods, such as multiple regression, classification and regression trees, and autoregressive models (Gardner and Dorling 2000; Chaloulakou et al. 2003a; Grivas and Chaloulakou 2006; Palani et al. 2008; Elangasinghe et al. 2014).
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