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

36

Published Articles (2024)

34.24

Days Acceptance Time

37.58

Day Publication Time

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

Title:
Recent Trends in Fluid Mechanics
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English
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Copyright Policy:
CC BY-NC-ND
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SJIF,
ICV Value: 2024 : 68.72,
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SJIF,
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

Conductive Polymer Nanocomposites for Wearable Cardiac Monitoring Devices

Wearable cardiac monitoring devices are increasingly important tools for non-invasive, continuous assessment of cardiac health.

Conductive polymer nanocomposites; wearable cardiac monitoring; flexible sensors; electrocardiography; nanofillers; MXenes; soft electronics.

Statistical and AI Approaches to Measure Sustainability Performance of Enterprises

Measuring sustainability performance has become a critical priority for enterprises facing increasing regulatory pressure, stakeholder expectations, and global sustainability challenges.

Sustainability Performance, Artificial Intelligence, Statistical Methods, Enterprises, ESG, Machine Learning, Data Analytics.

Computer Data Processing and Empirical Economics

This is an article on empirical economics and computer data processing that discusses how computational technology have changed empirical research methods.

Empirical Economics, Data Processing, Econometrics, Computational Methods, Big Data Analysis

Radiopaque Polymer Composites for Improved Visualization of Interventional Devices

Radiopaque polymer composites are increasingly important for improving the visualization of interventional medical devices under X-ray and fluoroscopic imaging while maintaining the flexibility, mechanical performance, and processability required for minimally invasive applications.

Radiopacity; Polymer composites; Interventional devices; X-ray visibility; Fluoroscopy; Nanocomposites; Heavy-metal fillers; Barium sulfate; Bismuth oxide; Tungsten; Device visualization; Biomaterials; Minimally invasive procedures.

Machine Learning-Based Structure–Property Quantification of Advanced Polymer Composites

Advanced polymer composites are widely used in high-performance engineering due to their superior mechanical and multifunctional properties. Accurate structure–property quantification is essential for efficient material design and reducing experimental costs.

Advanced Polymer Composites, Structure–Property Quantification, Composite Materials, Material Property Prediction, Structure–Property Relationship.

Artificial Intelligence and Constitutive Modeling Equations for Predictive Design of High-Performance Polymer Composites

Growing polymer composite applications demand accurate mechanical prediction, yet complex interactions and conventional constitutive models limit predictive capability and require extensive calibration.

Artificial Intelligence (AI), constitutive modeling, Polymer composites, Material composition.

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