Journal Description
E-ISSN: 2582-1040
Journal Abbreviation: Int. Res. J. multidiscip. Technovation
Publication language: English
Publishing frequency: Bimonthly
(Jan, March, May, July, Sept, Nov)
Download Article Template click here
Author's Diversity: India, Iraq, USA, Turkey, Brazil, Egypt, Ethiopia, Nigeria, Guinea, Saudi Arabia, Algeria, Sudan, Czechia, Vietnam, Uganda and Ivory Coast
Time to First Decision : 7 Days
Time to Review : 2 to 3 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
Author's Diversity: India, Iraq, USA, Turkey, Brazil, Egypt, Ethiopia, Nigeria, Guinea, Saudi Arabia, Algeria, Sudan, Czechia, Vietnam, Uganda and Ivory Coast
Time to First Decision : 7 Days
Time to Review : 2 to 3 Months
Aim and Scope
International Research Journal of Multidisciplinary Technovation (IRJMT) (E ISSN 2582-1040) 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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Feasibility Assessment of Polyethylene Terephthalate on Fresh and Hardened Traits of Blended Mortar Mixes
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Predicting and Analyzing Cardiovascular Disease through Ensemble Learning Approaches
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Preparation of Panchromatic Silver Halide Emulsion to Fabricate High Efficiency Multiplexed Volume Phase Holograms for Solar Concentration Application
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Deep Learning based Road Traffic Assessment for Vehicle Rerouting: An Extensive Experimental Study of RetinaNet and YOLO Models
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Discrete Elephant Herding Optimization Algorithm for Analysis of PAPR, BER and Spectral Efficiency in FBMC/OQAM System
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A Comprehensive Review on Pioneering Nanotechnologies in Advancing Next-Generation Biofuel Production
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Synergistic Valorisation of Fruit and Vegetable Waste for Bioenergy Production: A Review
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Comprehensive EEG Signal Feature Extraction for Neurological Disorder Diagnosis: Focus on Alzheimer's, Parkinson's, and Seizure Disorders
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Modelling of Restrained Shrinkage Stresses in Mortar using Artificial Neural Networks
Published : 2024-09-18 -
Mechanical and Metallurgical behavior of Manual Metal Arc Welded P91 Ferritic Martensitic Steel Joints
Published : 2024-09-15
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Production of Bio Degradable Bags Using cassava Starch
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Automatic Sorting Machine
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Effective Groundnut Crop Management by Early Prediction of Leaf Diseases through Convolutional Neural Networks
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Machine Learning based Forest Fire Prediction: A Comparative Approach
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