Category: 7. Maths

Experiment

Data sets and preprocessing

We validate the proposed method using two commonly used datasets, PAMAP2 and OPPORTUNITY. Initially, the raw data undergoes preprocessing steps such as removing redundant attributes and data, linear…

The integration of technology and learning, notably AI and data analytics, has sparked transformative progress within the critical domain of higher education⁹. These modern learning platforms aim to incorporate historical data about previous…

This section focuses on examining the stability of disease-free equilibria of the model (1), both at a local and global level. Initially, we ascertain the state of equilibrium together with its conditions of existence and the basic reproduction…

With the rapid growth of new energy markets, automatic charging mechanisms have become indispensable for enabling unmanned and intelligent operation of electric vehicles (EVs)^1,2. This technology facilitates a seamless and efficient charging…

Workflow of the proposed protocol

Figure 1 presents the comprehensive process of our T2BR protocol, which is divided into five distinct steps: (1) paper collection, (2) paper selection, (3) paragraph preparation, (4) battery recipe information…

Without relying solely on a generic theoretical framework for all control problems, we guide the design issues of a real-time RL control solution on a specific problem. The reference model tracking is widely seen especially in -but not limited…

Figure 1 outlines our study’s methodology, broken down into (1) data acquisition and processing, (2) manual labeling of transcriptions and meta data, and (3) repeated semi-automated error detection and correction.

This section describes the proposed hybrid model integrating Advanced StyleGAN for super-resolution and the Swin Transformer for object detection. It also details the data preprocessing steps, model training, tuning, and evaluation metrics.

As it is mentioned before, this problem is similar to a version of \(2-SAT\) problem, which would be discussed in the following.

Variable deletion almost \(2-SAT\)

There are some basic hard problems in computational…

In this study, we evaluated the performance of ten machine learning-based imputation algorithms to address missing data in electronic health record datasets.

Validation of the flexible algorithm

Our results demonstrate that the Flexible imputation…