Open Access Peer Reviewed Monthly Est. 2014

Academic Journal of Innovative Engineering and Technology

(AJIET)
ISSN (Print): 3244-5621 | ISSN (Online): 2343-403X
6.37
Impact Factor
15
H-Index
841+
Articles
📄 Acad. J. Innov. Eng. Technol. — Volume 31, Issue 3 (2045)
Academic Journal of Innovative Engineering and Technology  |  Volume 31, Issue 3  |  2045  |  6 Articles
Open Access Double-Blind Peer Reviewed ISSN: 2343-403X (Online)
📋 Articles — Volume 31, Issue 3
Research Article Pages 1–13
Article 1 of 6

Cybersecurity Threat Modelling for Industrial Control Systems

This study investigates cybersecurity Threat Modelling for Industrial Control Systems. Using rigorous quantitative and qualitative methodologies, the research examines key variables and their interrelationships within the relevant theoretical framework. Findings reveal significant implications for policy, practice, and future research. The…

Research Article Pages 14–27
Article 2 of 6

Smart Grid Integration of Renewable Energy Sources: Challenges and Solutions

This study investigates smart Grid Integration of Renewable Energy Sources: Challenges and Solutions. Using rigorous quantitative and qualitative methodologies, the research examines key variables and their interrelationships within the relevant theoretical framework. Findings reveal significant implications for policy, practice, and…

Research Article Pages 28–45
Article 3 of 6

Autonomous Vehicle Navigation Using Sensor Fusion Techniques

This study investigates autonomous Vehicle Navigation Using Sensor Fusion Techniques. Using rigorous quantitative and qualitative methodologies, the research examines key variables and their interrelationships within the relevant theoretical framework. Findings reveal significant implications for policy, practice, and future research. The…

Research Article Pages 46–59
Article 4 of 6

Deep Learning Architectures for Medical Image Segmentation

This study investigates deep Learning Architectures for Medical Image Segmentation. Using rigorous quantitative and qualitative methodologies, the research examines key variables and their interrelationships within the relevant theoretical framework. Findings reveal significant implications for policy, practice, and future research. The…

Research Article Pages 60–74
Article 5 of 6

Machine Learning Algorithms for Predictive Maintenance in Manufacturing

This study investigates machine Learning Algorithms for Predictive Maintenance in Manufacturing. Using rigorous quantitative and qualitative methodologies, the research examines key variables and their interrelationships within the relevant theoretical framework. Findings reveal significant implications for policy, practice, and future research.…

Research Article Pages 75–86
Article 6 of 6

Additive Manufacturing for Aerospace Components: Material Properties

This study investigates additive Manufacturing for Aerospace Components: Material Properties. Using rigorous quantitative and qualitative methodologies, the research examines key variables and their interrelationships within the relevant theoretical framework. Findings reveal significant implications for policy, practice, and future research. The…

← Vol. 31, No. 2 📁 All Issues Next Issue →