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Articles (4)

Research Article

Published: 21 Jul 2025

A Novel MLLM-Based Approach for Autonomous Driving in Different Weather Conditions

Volume 2

Journal: Computing&AI Connect
Research Article

Published: 26 Jun 2025

Dynamic Information Security Systems through Adaptive Architecture

Volume 2

The manufacturing industry is at the forefront of a digital transformation that promises significant enhancements in product and service quality. However, this technological shift also raises concerns about data security and information protection. In response to these challenges, a research study was conducted to investigate cybersecurity incidents in the manufacturers and assess the effectiveness of the Zero-Trust Architecture (ZTA) as a solution. The primary objectives of this research were to..

Journal: Communications & Networks Connect
Mini-Review

Published: 11 Feb 2025

CRISPR-Cas9 is Revolutionizing AML Treatment as a Novel Therapy

Volume 1

This review explores the progression of CRISPR-Cas9 genome editing technology in gene therapy for acute myeloid leukemia. Acute Myeloid Leukemia, a serious blood cancer, presents formidable treatment obstacles and a dismal prognosis. Effective treatments for acute myeloid leukemia rely on a clear understanding of its intricate genetic mechanisms, and CRISPR-Cas9 technology offers precision and adaptability for targeting the disease’s oncogenic drivers. The dual intron-targeting method of CRISPR-Cas9 is showcased in..

Journal: Cancer Immunology Connect
Systematic Review

Published: 07 Feb 2025

A Systematic Review on the Integrating Artificial Intelligence for Enhanced Fault Detection in Power Transmission Systems: A Smart Grid Approach

Volume 2

Modern electrical systems rely on sensors and relays for fault detection in three-phase transmission lines and distribution transformers, but these devices often face time complexity issues and false alarms. In this study, the fault detection accuracy is compared in models studied in 2023 and 2024 following PRISMA guidelines. The objectives were to identify fault types, utilize machine learning models to assess their predictive efficacy, and establish accuracy levels. To explore..

Journal: Computing&AI Connect
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