Railway transportation, a key long - distance freight transport method, faces challenges due to the rapid growth of global logistics demand.These challenges include high transportation costs, low punctuality rates, and inefficient resource utilization.Traditional static optimization methods cannot adapt to dynamic changes and multi-objective optimi
Broad learning system Magnesium (BLS) is proposed as a competitor to deep neural network, which is constructed using only single hidden layer instead of multilayered structure.It also manages incremental learning with intelligible mathematical derivation by pseudoinverse.Despite its empirical success, the limitations of BLS cannot be overlooked, es
In the past few years, deep learning has been successfully Eczema applied to various omics data.However, the applications of deep learning in metabolomics are still relatively low compared to others omics.Currently, data pre-processing using convolutional neural network architecture appears to benefit the most from deep learning.Compound/structure
This article conducts numerical simulation calculations Medical Treatments on the heat dissipation characteristics of an air-cooled radiator.The results show that under natural heat dissipation conditions, the maximum temperature of air-cooled radiators with flat heat dissipation covers decreases by 9.6% compared to radiators without heat dissipati
We introduced a class of spiraling elliptic hollow beams with the cross phase.Due to the cross phase, the spiraling elliptic hollow beams exhibit three key characteristics, having the elliptic peak ring, Fridge Thermostat carrying the orbital angular momentum (OAM), and performing rotations.We investigated both linear and nonlinear evolutions of th