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Vehicle Technology at IgMin Research | Engineering Group

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Advancing the Future of Mobility with Vehicle Technology Research

At IgMin Research, we recognize the growing importance of vehicle technology in shaping the future of transportation. Our dedicated automotive research publishing platform invites researchers, engineers, and innovators to submit high-quality work that addresses evolving trends in electric vehicles, autonomous systems, AI in transportation, fuel efficiency, and more.

Whether you're focused on powertrain innovation, vehicular networks, or smart infrastructure integration, we encourage you to submit your vehicle technology research article to our peer-reviewed, open-access journal.

Why Publish with Us?

Join a community that’s transforming transportation through evidence-based research and global collaboration. Publish with IgMin Research to gain recognition, amplify your work, and contribute to meaningful technological advancement.

Electric and Hybrid Vehicle Technologies Autonomous and Self-Driving Vehicles Advanced Propulsion Systems (Internal Combustion Engines Alternative Fuels) Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) Communication Vehicle Safety and Crash Avoidance Systems Vehicle Dynamics and Control Automotive Materials and Lightweighting Intelligent Transportation Systems Electric Charging Infrastructure Human-Machine Interface (HMI) in Vehicles Emission Control Technologies Vehicle Aerodynamics and Drag Reduction Noise Vibration and Harshness (NVH) in Vehicles Tire and Wheel Technologies Automotive Electronics and Embedded Systems Connected and Smart Vehicles Sustainable Mobility Solutions Vehicle Testing and Simulation Advanced Driver Assistance Systems (ADAS) Vehicle Energy Management Vehicle Design and Ergonomics Automotive Data Analytics Green Transportation and Emission Reduction Vehicle Cybersecurity Emerging Trends in Vehicle Technology

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  • Global Visibility – Indexed in major databases

  • Fast Peer Review – Decision within 14–21 days

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  • Multidisciplinary Scope – Biology, Medicine and Engineering

  • Editorial Board Excellence – Global experts involved

  • University Library Indexing – Via OCLC

  • Permanent Archiving – CrossRef DOI

  • APC – Affordable APCs with discounts

  • Citation – High Citation Potential

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Research Articles
  1. Knowledge Discovery on Artificial Intelligence and Physical Therapy: Document Mining Analysis
  2. Enhancing Missing Values Imputation through Transformer-Based Predictive Modeling
  3. Deep Learning-based Multi-class Three-dimensional (3-D) Object Classification using Phase-only Digital Holographic Information
  4. Communication Training at Medical School: A Quantitative Analysis
  5. Problem of Surface Waves on Water in Higher School Laboratory Workshop
  6. The Impact of Stress on Periodontal Health: A Biomarker-Based Review of Current Evidence
more articles

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