Category: 7. Maths

This paper introduces edge-level positional encoding in addition to the traditional node-level random walk positional encoding and proposes two methods to enhance the edges in the original graph. The enhanced graphs are then used as input to both…

Classical bit neural network

Artificial neural network (ANN) was designed with key activation functions, cost function choices, and forward and backward propagation, optimized for application in binary and continuous prediction tasks. In this…

A framework for comparing model accuracy based on cross-validation

We first describe our framework for assessing the statistical significance of accuracy differences between two classification models evaluated by “repeated” CVs^22,23, a…

In this section, we desinged robust mathematical approaches of Frank aggregation operators in the light of Cr-PyF circumstances.

Definition 7

Suppose a set of Cr-PyFVs \({\alpha }_{j}=\left({{\mu }_{\alpha…

Underlying network and poissonisation

Below G lies a more complex and unobservable network, controlling the health of the individual. We view G as the observable resultant of this network at the level of health indicators, and \(\textbf{Z}\) as…

Computation and analysis

In order to solve the Travelling Salesman Problem, a distance matrix must be created. Our next stage involves the construction of a distance matrix. We have already extracted the data specific to…

OpenAI has launched a large language model (LLM) that lives up to the company’s name….

Challenges and future directions

Enhancement of high-quality and real-world datasets of image-reports pairs

A key challenge in advancing AI applications for 3D medical imaging, particularly for radiology report generation, is the lack of large,…

The last few decades have seen the emergence of the exciting field of study known as turbulent base flows. The projectile’s blunt base, the fuselage of an airplane, the blunt base of a shell, etc., are common locations for low and…