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ISSN: 3070-0434 |
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DOI: 10.64751/ijaecme |
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Email: editorijaecme@zesterapublications.com |
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Submission: Anytime |
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Acceptance: 1-2 days |
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Publication: 1-3 days |
International Journal of AI, Electrical, Civil and Mechanical Engineering (IJAIECME) is a peer-reviewed, open-access, multidisciplinary scholarly journal dedicated to advancing research and innovation across the domains of Artificial Intelligence (AI), Electrical Engineering, Civil Engineering, and Mechanical Engineering. The journal serves as a platform for researchers, academicians, industry professionals, and practitioners to publish high-quality original research articles, review papers, case studies, and technical notes that contribute to the development of cutting-edge technologies and sustainable engineering practices.
IJAIECME aims to bridge the gap between theory and application by encouraging interdisciplinary collaboration and highlighting the role of AI-driven solutions in transforming traditional engineering fields. With a strong emphasis on innovation, sustainability, and emerging trends, the journal welcomes contributions that address both fundamental concepts and real-world engineering challenges.
The scope of the journal includes, but is not limited to:
Artificial Intelligence & Data Science in Engineering – Machine learning, deep learning, IoT, automation, optimization, robotics, and intelligent systems.
Electrical Engineering – Power systems, renewable energy, smart grids, control systems, VLSI design, embedded systems, and communication technologies.
Civil Engineering – Structural engineering, construction management, transportation systems, geotechnical studies, water resources, sustainable infrastructure, and smart cities.
Mechanical Engineering – Thermal engineering, design and manufacturing, materials science, mechatronics, fluid dynamics, and energy-efficient systems.
Mission: To disseminate innovative research and practical advancements that drive technological growth and societal progress.
Vision: To become a globally recognized journal fostering excellence in multidisciplinary engineering research with a special focus on the integration of AI in engineering solutions.
Peer-reviewed scholarly articles ensuring quality and authenticity.
Open access for global knowledge sharing.
Multidisciplinary coverage connecting AI with core engineering fields.
Opportunities for researchers to showcase cutting-edge innovations and interdisciplinary findings.
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ISSN: 3070-0434 |
|
DOI: 10.64751/ijaecme |
|
Email: editorijaecme@zesterapublications.com |
|
Submission: Anytime |
|
Acceptance: 1-2 days |
|
Publication: 1-3 days |


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