Software testing identifies defects in software products with varying multiplying effects based
on their severity levels and sequel to instant rectifications, hence the rate of a research study …

Botnet attacks are becoming a growing threat to the security of computer networks, and there
is a need for effective and efficient methods for detecting these attacks. In this study, we …

近年来, 脑网络被广泛应用在脑部疾病的诊断和分类中. 考虑到大脑的不确定性特征,
先前的研究将不确定图应用在脑网络建模中. 在不确定脑网络研究中, 传统的特征提取方法多 …

Enhancing the trust of machine learning-based classifiers with large input spaces is a
desirable goal; however, due to high labeling costs and limited resources, this is a …

The development of precise detection and tracking methods for high-speed moving targets,
coupled with accurate matching under varying lighting conditions, represents a formidable …

The Internet of Things (IoT) networks are getting bigger and bigger. In most cases, all IT
assets are connected to the network and various resources and services are provisioned …

Detection of facial forgery in images and videos is a complex and challenging task. For the
last years, different methods have been employed to detect facial forgeries. However, facial …

The object of the study is to provide an effective feedback system for robotic restaurants
which uses customer's facial expressions to acquire ratings about customers experience …

Testing computationally complex neural network-based applications (ie network intrusion
detection systems) is a challenging task due to the absence of a test oracle. Metamorphic …

Software engineering is a multifaceted field that necessitates effective communication
among many stakeholders involved in the system development process, while also adhering …