A modified Artificial Hummingbird Algorithm (mAHA) is presented here as an innovative and improved optimizer. In mAHA, local escape operator (LEO) and opposition-based learning (OBL) are integrated into the basi
This study presents the development of an AI algorithm with very broad capabilities for breast biopsies and the results of a blinded multi-site clinical validation assessing its performance in the detection of invasive and in situ breast carcinomas in core needle biopsies. Subsequently, an automated ...
The drawback of the previous optimization techniques, as well as the metaheuristic, and evolutionary optimizations is the possibility of merging to standards that may not be optimal but instead are trapped at a local optimal value. To comprehend this problem, a JAYA algorithm strategy is inspected...
The OpenMP-parallelized code can be run efficiently on multiple workstations in a network or multiple compute nodes on a cluster as slaves using parallel PEST to speedup model calibration. To run calibration on clusters as a single task, the Levenberg–Marquardt algorithm is added to HGC5 with...
Do not attempt to mix them together, i.e do not try to install an app or plugin from F-Droid and another one from a different source like GitHub. Android Package Manager will also normally not allow installation of APKs with different signatures and you will get errors on installation ...
The Optimization Algorithm of Tourism Route Based on Deep Learning Theory Chapter © 2022 Explore related subjects Discover the latest articles and news from researchers in related subjects, suggested using machine learning. Digital Marketing E-Business e-Commerce and e-Business Lead Optimization...
Non-dominated sorting genetic algorithm NOx: Oxides of nitrogen O2 : Oxygen PM: Particulate matter PPM: Parts per millions PSO: Particle swarm optimization PUNN: Product unit neural network R: Correlation coefficient R2 : Coefficient of determination RBFNN: Radial basis function neural ...
In the field of tribology, many studies now use machine learning (ML). However, ML models have not yet been used to evaluate the relationship between the friction coefficient and the elemental distribution of a tribofilm formed from multiple lubricant additives. This study proposed the possibility...
our LBS equation is logically accurate and that there is a strong agreement between the experimental, numerical, theoretical, and the predicted LBS values. Moreover, the ANN algorithm proved the precision of our proposed LBS equation. Introduction ...
(3)application developer(system integrator). For this reason, a solid middleware with well-defined interfaces between the application developer and the algorithm developer greatly enhances application development for smart camera networks. Reduced time to market and improved software quality are also ...