Today:Early fog in the far southwest clears quickly. Most areas stay dry with sunshine and variable cloud, though northern and northeastern regions may see isolated showers. Light winds overall, ...
This study introduces a sophisticated intelligent predictive maintenance system for industrial conveyor belts powered by a random forest machine learning model. The random forest model was evaluated ...
Space complexity of machine learning algorithms is the amount of memory or storage an algorithm requires for its successful execution. This becomes one of the important metrics of concern since it ...
Combination of Extra Random Trees and Genetic Algorithm for Optimal Design of SPMSM for Robot Joints
Abstract: This paper proposes a method that combines extra random trees technology (ERT) and genetic algorithm (GA) for optimal design of motor for robot joints. The target motor is a surface-mounted ...
Most of today’s quantum algorithms may not achieve practical speedups. Material science and chemistry have a huge potential and we hope more practical algorithms will be invented based on our ...
Structural integrity is a crucial aspect of engineering components, particularly in the field of additive manufacturing (AM). Surface roughness is a vital parameter that significantly influences the ...
Abstract: Data production has followed an increased growth in the last years, to the point that traditional or batch machine-learning (ML) algorithms cannot cope with the sheer volume of generated ...
Patients with systemic lupus erythematosus (SLE) present varied clinical manifestations, posing a diagnostic challenge for physicians. Genetic factors substantially contribute to SLE development. A ...
In this paper, we present two divide-and-conquer algorithms for clustering large graphs. Both algorithms apply a base algorithm on several small subgraphs and then use these individual local ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results