Innovative Journal of Applied Science

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Innovative Journal of Applied Science is a leading publication dedicated to advancing the field of applied science through the dissemination of new research and innovative solutions. The journal serves as a platform for scientists, engineers, and practitioners to share their findings, fostering interdisciplinary collaboration and driving progress across various applied science disciplines. Read more

Frequency: Bi-Monthly
Subject: Multidisciplinary Subjects
ISSN: 3049-3072 (Online)
Publisher: Meteor Publishing Journal
Starting Year: 2024
Language: English
Publication Format: Online
Email: editor@ijas.meteorpub.com

Short articles commenting on published issues or articles in Innovative Journal of Applied Science are typically by invitation and should be submitted within three weeks.

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Current Issue :- Volume 2, Issue 6 (Nov-Dec) 2025

Published: 2025-11-11

Articles

Bridging Digital Currencies: A Technical Model for Multi-CBDC Ecosystems

Tanishka Thombre, Yiping Huang (Author)

40

Submission Date: November 4, 2025 | Publication Date: November 11, 2025

Abstract viewed: 105
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Technical Procurement and Category Management: The Backbone of High-Performance Industries (Aviation, Construction, Oil and Gas)

Samir Ali Syed (Author)

41

Submission Date: November 25, 2025 | Publication Date: December 9, 2025

Abstract viewed: 93
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Big Data and Great Privacy Challenges in the Digital Era - A Comprehensive Study

Muhammad Rawish Siddiqui (Author)

42

Submission Date: December 10, 2025 | Publication Date: December 30, 2025

Abstract viewed: 107
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Critical and Analytical Evaluation of the Relationship between Supply Chain Characteristics and Manufacturing Strategies: Case of Unilever

Samir Ali Syed (Author)

43

Submission Date: December 13, 2025 | Publication Date: December 30, 2025

Abstract viewed: 69
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Stratified Density Gravity: Gravitation Without Fundamental Time

Sadid Gagi Peskovic, Bendik Bo (Author)

44

Submission Date: December 17, 2025 | Publication Date: December 31, 2025

Abstract viewed: 271
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DC-Guard: A Risk-Tiered Data-Centric Framework for Governing Dataset Shift in Credit-Risk Models — Empirical Validation on Fannie Mae Loans

Ashutosh Agarwal (Author)

45

Submission Date: December 17, 2025 | Publication Date: December 31, 2025

Abstract viewed: 30
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