Category: 7. Maths

In this section, we introduce an adaptive offloading strategy into the model and deploy a practical edge computing scenario based on multiple types of embedded terminals. We first verify the performance and advantages of our proposed innovative…

Ovine myocardial infarction model and sample preparation

An ovine infarction model was provided by the Heart Rhythm Disease Institute, Bordeaux University Hospital, France in accordance with the guidelines from Directive 2010/63/EU – 2010 of the…

Context and participants

The study was conducted within the context of Nigeria, focusing on teachers’ readiness to adopt Artificial Intelligence (AI) in Education (AIED). Nigeria presents a unique environment characterized by diverse levels of…

Relevant feature extraction and processing

To accurately estimate the M-PSK and M-QAM waveform signals of each \({\textbf{y}}_{d ^(j)}\) at the \(j^{\textrm{th}}\) antenna, selecting a relevant set of important features is essential. Higher-order…

Data

We analyze four interrelated atmospheric variables, namely the zonal (uas) and meridional (vas) components of near-surface (10 m) wind speeds, surface (2 m) air temperature (tas), and sea level pressure (psl), due to their crucial…

This section evaluates the performance of the GaitSMAT model on three mainstream datasets (Grew²⁴, Gait3D²⁵ and SUSTech1k²⁶). We will describe these datasets and their corresponding training configurations in detail. We also compare GaitSMAT with…

This section presents the results of evaluating and comparing our proposed solution, which leverages the OCR capabilities of VLMs to address the challenging problem of car plate recognition. Several VLMs were evaluated and compared in terms of…

Table 4 provides a comparative analysis of four models: Random Forest, Deep Neural Network (DNN), Long Short-Term Memory (LSTM), and Bidirectional LSTM (BiLSTM) based on precision, recall, F1-score, and support for two classes (Class 0 and Class…

Notation

Calligraphic letters \(\mathscr {X}\) represent sets and where the calligraphic letter is finite, \(|\mathscr {X}|\) will represent the cardinality of \(\mathscr {X}\). X denote random variables and random vectors X over \(\mathscr {X}\)….

UCS test

Figure 3 highlights the variations in the UCS of cement-solidified sludge at various PC contents and curing ages. Notably, the early strength of the cement-solidified sludge increased relatively rapidly, with the strength at 7 days…