GenAI coding assistance capabilities are evolving quickly as developers and devops teams find new ways to integrate AI ...

Based on the torque ripple model, a genetic algorithm (GA)-based harmonic current optimization approach is proposed for torque ripple minimization. In this approach, GA is applied to optimize both the ...

It may happen that during propagation all the coefficients for a certain pixel become zero. That means that the algorithm has run into a contradiction and can not continue. The problem of determining ...

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For several of these, recent research has suggested the use of genetic algorithms (GAs). Historically, the Pruumlfer code has been one of the most popular representations for spanning trees, due ...

Alphabiome's proprietary algorithm analyzed trillions of genetic data points and identified over 10,000 complex microbe-derived biomarkers related to the successful use of these drugs. The same ...

Birmingham scientists have identified an essential genetic code for a method called plasmid curing, which aims to "displace" antibiotic-resistance genes from bacteria. Plasmids, which are small ...

To analyse the performance of different max-flow/min-cut algorithms like Ford-Fulkerson, Edmonds-Karp, Scaling and Dinic’s on the basis of Binary Image Segmentation This project analyzes graphs using ...

We used the imbalanced-learn library (version 0.12.3) in Python to implement the SMOTE algorithm for oversampling minority class samples. For each minority sample, SMOTE generates synthetic instances ...