International Journal of Machine Design and Manufacturing

ijmdm | Peer-Reviewed | Hybrid Open Access

Journal Metrics

Key performance indicators showcasing our journal’s impact and reach

41

Published Articles (2024)

36.48

Days Acceptance Time

40.33

Day Publication Time

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Total Visits

About the Journal

Current Trends in Information Technology is a peer-reviewed hybrid open-access journal launched in 2011, focused on the rapid publication of fundamental research papers on all areas of Information Technology across multidisciplinary domains.

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Journal Information

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Research & Reviews : Journal of Statistics
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English
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CC BY-NC-ND
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ICV Value: 2024 : 68.72,
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ICV Value: 2024 : 64.27,
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Editorial Board

View Full Editorial Board

ijaip maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Editor in Chief

Editor

Prof. Utpal Sharma, Director & Professor

Nirma Univesity, Gujarat, India,

Email :

Latest Articles

Performance enhancement of Discrete Event Simulation in Project Management for Optimal Project Results

The key to project success is having clear objectives. A lot of projects fail because their outcomes are not clear and the processes required to achieve them are not clear.

Discrete event simulation (DES), project management, project scope management, resource optimization,event chain methodology (ECM)

Numerical Investigation of Ply-by-Ply Failure and Strength Degradation in Composite Laminates Under Transverse Loading

This paper represents the failure analysis of composite symmetric and antisymmetric laminate, when laminates were subjected to the transverse loading conditions. The load is uniformly distributed in a transverse direction.

Laminate, composite, progressive failure, failure, failure mode, FEM etc.

Design Optimization and Performance Study of An Electric Scooter

Electric vehicles (EVs) and in particular electric scooters and bikes have experienced an immense growth in India, as the cities grapple with increased traffic, pollution and reliance on imported fuel.

Electric vehicles (EVs), battery, brushless DC motor (BLDC), DC-DC converters, permanent magnet (PM), hub motor, miniature circuit breaker (MCB), fieldoriented control (FOC)

Artificial Intelligence and Machine Learning Approaches for Corrosion Prediction and Management of Steel Reinforcement in Concrete: A Systematic Review

Load bearing concrete structures need steel reinforcement bar (rebar), which are prone to attack by the corrosive environment inside the concrete due to constant ingress of moisture, pollutant gases and anions (mainly Cl−, SO42−).

Concrete, Rebar, Corrosion management, Artificial intelligence, Imaging technology

Artificial Intelligence in Healthcare for Implants and Tissue Regeneration: Advances, Challenges, and Future Directions

Artificial intelligence (AI) has been a revolutionary influence in contemporary healthcare, especially in implant design, biomaterials research, and tissue regeneration.

Artificial Intelligence; Tissue Regeneration; Biomaterials; Implants; Machine Learning; 3D Bioprinting

Artificial Intelligence-Based Workforce Analytics Framework for Predicting Employee Engagement and Continuous Performance Improvement: Evidence from Tata Steel

In large, diversified manufacturing organizations, managing employee engagement and sustaining performance require systematic understanding of workload distribution, employee sentiment, and workplace experience.

Workforce analytics; Employee engagement; Performance improvement; JD-R Theory

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