In today's healthcare setting, the accurate and timely diagnosis of breast cancer is critical for
recovery and treatment in the early stages. In recent years, the Internet of Things (IoT) has …

Precise charging time prediction can effectively mitigate the inconvenience to drivers
induced by inevitable charging behavior throughout trips. Although the effectiveness of the …

This research proposes a novel Hybrid Success History Intelligent Optimizer with Gaussian
Transformation (SHIOGT) for solving different complexity level optimization problems and for …

This paper investigates the application of Support Vector Regression with Quadratic Kernel
(QSVR) for modeling the solubility of lornoxicam in supercritical carbon dioxide. The dataset …

Self evolution refers to the ability of a system to evolve autonomously towards a better
performance, which is a potential trend for autonomous driving systems based on self …

Discrete & continuous optimization constitutes a challenging task and generally rises as an
NP-hard problem. In the literature, as a derivative of this type of optimization issue …

Nowadays, ransomware is considered one of the most critical cyber-malware categories. In
recent years various malware detection and classification approaches have been proposed …

Urban flood risk mapping has become crucial for effective mitigation and urban planning.
This study assesses and maps flood risk in the city of Zaio, Morocco, using machine learning …

The particle swarm optimization (PSO) algorithm is widely used for optimization purposes
across various domains, such as in precision agriculture, vehicular ad hoc networks, path …

In this work, a method for automatic hyper-parameter tuning of the stacked asymmetric auto-
encoder is proposed. In previous work, the deep learning ability to extract personality …