Currently, most fatigue driving detection methods rely on complex neural networks whose feasibility in hardware implementation needs to be further improved. This paper proposes an embedded device-oriented fatigue driving detection method based on …

Breast cancer is still a crucial public health problem worldwide, especially among women. Early diagnosis and treatment can be provided to patients with regular mammography. The BI-RADS system, which is a standard approach used when interpreting …

Adversarial examples demonstrate the vulnerability of white-box models but exhibit weak transferability to black-box models. In image processing, each adversarial example usually consists of original image and disturbance. The disturbances are …

Echo state networks (ESNs), a special class of recurrent neural networks (RNNs), have attracted extensive attention in time series prediction problems. Nevertheless, the memory ability of ESNs is contradictory to nonlinear mapping, which limits …

Hyperspectral image (HSI) classification benefits from effectively handling both spectral and spatial features. However, deep learning (DL) models, like graph convolutional networks (GCN), face challenges in computation time, overfitting, and less …

Alzheimer's disease (AD) is the most frequent type of dementia that has no effective cure, except early discovery and treatment that may help patients to include successful years in patient’s lives. Currently, mini-mental state examination (MMSE) …

This article studied the exponential stability of stochastic functional differential systems based on directed networks, utilizing impulsive control with multiple delays. The impulsive control considered in this article is related to multi-past …

This paper addresses the finite-time control problem of a class of uncertain nonlinear systems subject to input saturation and actuator faults. To approximate the unknown system states, a fuzzy state observer is established where fuzzy logic …

The adverse effects of thawing permafrost on transportation infrastructure in northern regions are exacerbated by climate change. To address this issue, remote sensing techniques can be employed to track deformations in these structures over time.

In the high-speed railway system, trains’ original timetable is often disturbed by some emergencies including geological disasters and equipment failures, which brings great influence to passengers. This paper proposes a real-time high-speed train …

Two of the most crucial issues for text summarization to generate faithful summaries are to make use of knowledge beyond text and to make use of cross-sentence relations in text. Intuitive ways for the two issues are knowledge graph (KG) and graph …

The imaging principle of seismic images is different from natural images, which results in very limited resolution, complex reflection features and strong uncertainty of seismic images. The fault interpretation methods based on seismic attribute …

Cross-domain object detection has attracted more and more attention recently. It reduces the gap between the two domains, where the source domain is labeled and the target domain is label-agnostic. The feature alignment is a fundamental step for …

The semantic-based method for question retrieval is an important method for searching similar questions in community question answering (CQA). The major challenges in question retrieval lie in polysemy and lexical gaps between questions, and the …

Academic Abnormality Prediction aims to predict whether students have academic abnormalities through their historical academic scores. However, existing research methods still have the following challenges: (1) Student behavior. Only the students’ …

Document classification is becoming increasingly essential for the vast number of documents available in digital libraries, emails, the Internet, etc. Textual records frequently contain non-discriminative (noisy and irrelevant) terms that are also …

The purpose of the Bangla grammatical error correction task is to spontaneously identify and correct syntactic, morphological, semantic, and punctuation mistakes in written Bangla text using computational models, ultimately enhancing language …

Most optimisation problems have multiple, often conflicting, objectives. Due to the conflicting objectives, a single solution does not exist, and therefore, the goal of a multi-objective optimisation algorithm (MOA) is to find a set of optimal …

Medical image analysis using multiple modalities refers to the process of analyzing and extracting information from more than one type of image in order to gain a comprehensive understanding of a given subject. To maximize the potential of …

Precision agriculture has long struggled with the surveillance and control of pests. Traditional methods for estimating pest density and distribution through manual reconnaissance are often time-consuming and labor-intensive. To address these …