Category: 7. Maths

It describes a design that makes an improved model for the prediction of concrete strength using Gradient Boosting and Deep Neural Networks, surpassing intrinsic low efficiency and high complexity issues in the existing models for the analysis of…

In real-world scenarios, especially under uncertain and conflicting expert opinions, decision-makers often hesitate among several possible membership degrees when evaluating an element. This leads to the development of the hesitant fuzzy set…

Configuration analysis of the single constellation

The mixed constellation analyzed in this study is composed of three main types: polar, Walker, and OCO constellations. The model construction places special emphasis on active compensation for…

This study employed Design Science Research (DSR) to develop and evaluate a fine-tuned deep learning model for Teff-weed detection using datasets collected by drones. DSR, a research methodology focused on creating and evaluating IT artifacts to…

Experimental setup

The YOLOv8 architecture was selected as the baseline model due to its empirically validated balance between detection accuracy and computational efficiency in real-time applications. To enhance feature representation…

The EPCNN-DCPDN model as a proposed methodology combines Pyramid based CNNs and Deep Channel Prior Dehazing Network, which effectively help in the enhancement of underwater images captured by the underwater robots. In the sequential approach, the…

In order to assess bridges more accurately and effectively, a method for safety risk assessment based on MFBN is proposed in this paper. The proposed method includes the following five steps: the establishment of FT for bridge, the establishment…

The FE capabilities of ABAQUS are utilized to comprehensively analyze the static and dynamic behavior of PSCs. An automated modeling framework is developed using Python scripting to efficiently generate and manage the entire model setup. This…

Mathematical models

Among the models considered in the predictive microbiology literature, the Baranyi model stands out, due to its specificity and the physical meaning of its parameters. The explicit expression of this primary model¹⁸ is as…