OPEN ACCESS ESTD: 2018 UGC APPROVED NO. 64537 INTERNATIONAL JOURNAL OF MANAGEMENT, MARKETING AND HRD
ISSN: 2321 - 8622 | editor@ijmmhrd.com
Authors
Dr. Aakash Modi (Department of Computer Science & Engineering)| Prof. Sarah Jenkins (Institute of Advanced Technology)
Volume
Vol. 2
Issue
Issue 12
Year
2019
Pages
pp. 1-12
Article ID
IJMMHRD-A-31237
Published Date
November 11, 2026
DOI Identifier
10.5281/ijmmhrd.2026.790311
DOI Status
Registered

Abstract

This paper presents a thorough investigation into modern deep learning frameworks, transformer architectures, and their practical implementations across multidisciplinary engineering and scientific domains. We evaluate performance benchmarks, algorithmic efficiency, and real-world deployment challenges.

Research Keywords

Deep Learning Neural Networks Machine Learning AI Computer Vision

Cite This Article

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Dr. Aakash Modi, Prof. Sarah Jenkins. "A Comprehensive Review of Modern Deep Learning Architectures in Multidisciplinary Applications." INTERNATIONAL JOURNAL OF MANAGEMENT, MARKETING AND HRD (IJMMHRD), Vol. 2, Issue 12 (2019), pp. 1-12. https://doi.org/10.5281/ijmmhrd.2026.790311