A high-speed MPPT based horse herd optimization algorithm with dynamic linear active disturbance rejection control for PV battery charging system.

This study first proposes an innovative method for optimizing the maximum power extraction from photovoltaic (PV) systems during dynamic and static environmental conditions (DSEC) by applying the horse herd optimization algorithm (HHOA). The HHOA is a bio-inspired technique that mimics the motion cycles of an entire herd of horses. Next, the linear active disturbance rejection control (LADRC) was applied to monitor the HHOA's reference voltage output.

A novel deep synthesis-based insider intrusion detection (DS-IID) model for malicious insiders and AI-generated threats.

Insider threats pose a significant challenge to IT security, particularly with the rise of generative AI technologies, which can create convincing fake user profiles and mimic legitimate behaviors. Traditional intrusion detection systems struggle to differentiate between real and AI-generated activities, creating vulnerabilities in detecting malicious insiders. To address this challenge, this paper introduces a novel Deep Synthesis Insider Intrusion Detection (DS-IID) model.

Comprehensive analysis of faults and diagnosis techniques in cascaded multi-level inverters.

Reliability is a crucial factor to consider for multi-level inverters (MLIs) used in industrial applications. With the increasing number of power semiconductor devices, the potential for defects to significantly degrade the overall system is heightened. A highly effective fault-detection technique is required to minimize the impact of faults.

Modeling and assessment of radioactive iodine dispersion inside Egyptian radioisotope production facility.

Indoor Air Quality (IAQ) is very important topic in any radioisotope production facility. It is mandatory for some operators to be available behind hot cell that produce radioisotope to practice some tasks concerning maintenance, dosimetry and operation. One of these tasks is redundant transferring Radioiodine from cell to quality control lab and vice versa for measurements.

FaSTPACE: a fast and scalable tool for peptide alignment and consensus extraction.

Several novel high-throughput experimental techniques have been developed in recent years that generate large datasets of putative biologically functional peptides. However, many of the computational tools required to process these datasets have not yet been created. In this study, we introduce FaSTPACE, a fast and scalable computational tool to rapidly align short peptides and extract enriched specificity determinants.