Journal Description
ISSN: 2582-1040 (Online)
Journal Abbreviation: Int. Res. J. multidiscip. Technovation
Publication language: English
Publishing frequency: Bimonthly
(Jan, March, May, July, Sept, Nov)
Download Article Template click here
Time to First Decision : 10 Days
Time to Review : 2 Months
Journal Abbreviation: Int. Res. J. multidiscip. Technovation
Publication language: English
Publishing frequency: Bimonthly
(Jan, March, May, July, Sept, Nov)
Download Article Template click here
Time to First Decision : 10 Days
Time to Review : 2 Months
Acceptance to Publication: 2 weeks
Aim and Scope
International Research Journal of Multidisciplinary Technovation (IRJMT) (ISSN 2582-1040 (Online)) is a peer-reviewed, open-access journal published in the English – language, provides an international forum for the publication of Engineering and Technology Researchers. IRJMT is dedicated to publishing clearly written original articles, review articles and short communication in the precinct multidiscipline of Science and Engineering which includes Chemistry, Physics, Biotechnology, Civil Engineering, Computer Engineering, Electrical Engineering, Environmental Engineering (Chemical and Material Science), Mechanical Engineering and General Material Science. It is issued regularly once in two months and open to both research and industry contributions. The core apparition of International Research Journal of Multidisciplinary Technovation (IRJMT) is to spread the innovative knowledge to the society, which paves way to promote Industry contributions, academic and research professionals in the precinct multidiscipline of Engineering and Technology. Its eminence will be on publishing quality papers rapidly and readiness for the researchers worldwide.
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Quantum Key Distribution (QKD) Enabled Secure Model Update Exchange in Federated Learning
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Multimodal Neuroimaging Fusion using 3D Residual Networks and Vision Transformers for Parkinson’s Disease Detection
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Identifying Soil Profiles and Groundwater Quality using Machine Learning Models with and without Clustering Methods
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Growth, Third-Order Nonlinear Optical, Thermal and Quantum Chemical Investigation of L-Ornithine Monohydrochloride Single Crystals
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Ensemble Learning-Based Battery Health Estimation: A Comparative Study of RUL, SOC, and SOH Prediction Using Machine Learning Models
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The Emerging Role of Artificial Intelligence in STEM Higher Education: A Critical Review
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Paradigm of Pumped Hydro Energy Storage: Comprehensive Review
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