Notably, using PMVs alone yields a 91.32% accuracy, while the optimal model employing all ten parameters, yields a prediction accuracy of 0.9783 (97.83%). Conclusions Our research showcases the efficacy of DERGA, an innovative data ensemble refinement greedy algorithm. DERGA accelerates the ...
The efficacy of the proposed approach was measured with benchmarking tests and in a comparative study based on the results obtained with the Nearest Neighbor Algorithm, Greedy Local Search and Hill Climbing. The discussion also embraced the study of the convergence of the proposed algorithm and the...
There is a special case where this problem gets easy to compute through the use of a greedy algorithm. If we sort a sequence scaling factorsv1,⋅⋅⋅,vNv1,⋅⋅⋅,vNin which each integer in the sequence is larger than the sum of all the integers that came before it (∀i,...
of target k-coverage in DSNs where sensors have regulable sensing ranges; (2) suggesting two LA-based algorithms to solve the problem; (3) devising a pruning rule to improve the algorithm’s performance; and (4) leading a few investigations to evaluate the efficacy of the suggested ...
This algorithm has been a mixture of the concurrent utilization of the ANN and PSO algorithm. For identifying the seismic failure mode of reinforced concrete shear walls, Mangalathu et al.16 studied 8 various machine learning models. With analyzing the efficacy of various models on shear wall ...
The purity of deuterium-labeled compounds is critically important because of their growing applications in quantitative mass spectrometry (MS) analyses, including targeting metabolic flux, decreasing toxicity, confirming reaction pathways during synthesis, predicting enzyme functions, boosting drug efficacy, ...
On the timescale of sensory processing, neuronal networks have relatively fixed anatomical connectivity, while functional interactions between neurons can vary depending on the ongoing activity of the neurons within the network. We thus hypothesized that
Mellit A, Kalogirou S (2021) Artificial intelligence and internet of things to improve efficacy of diagnosis and remote sensing of solar photovoltaic systems: challenges, recommendations and future directions. Renew Sustain Energy Rev 143:110889 Google Scholar Mousavi SM, Mostafavi ES, Jiao P (2017...
which refers to the removal of accounts by social media administrators due to user engagement in toxic, offensive, or abusive activities. Studies in this domain have primarily examined the efficacy of deplatforming in disbanding groups of deviant users and reducing the prevalence of toxic interactions...
To enhance the efficacy of network dismantling some researchers have proposed numerous complex network dismantling methods based on heuristic methods such as greedy algorithm [26], artificial bee colony algorithm [27], genetic algorithm [28], etc. In general, the heuristic methods may be able to ...