Category: 7. Maths

The experiment was programmed in the MATLAB platform⁴⁹.

Dataset

Determine the input variables for the model

The experimental dataset includes daily visitor records and related operational data from the Banliang Ancient Village Scenic Area in…

Die changeover time reduction

One of the most significant outcomes was the substantial reduction in die changeover time, which was cut down to just a fraction of its original duration, reflecting an exceptional improvement. This was achieved by…

This section outlines the simulation environment, the benchmarks employed, the state-of-the-art methods used for performance comparison, and the statistical analysis conducted.

Simulation setup

The simulations were conducted using MATLAB R2019a….

This work proposes a novel CVDTLM-AGRCC technique. The technique enables the detection and classification of RCC from kidney histopathology images. To accomplish that, the CVDTLM-AGRCC model contains four distinct stages: image pre-processing,…

The suggested outcomes of the proposed FL system for skin cancer detection, utilizing the VGG19 deep TL model, are shown in this part. This approach is made to be highly accurate across non-IID (non-independent and identically distributed) data…

Global datasets

Differentiable models in this work were trained on daily streamflow observations from a recently-compiled global dataset by Abbas et al.⁶⁶, composed of various published resources as well as global and national databases indicated…