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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: March 2026
Volume 11 | Issue 3
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21545
Article Published : 8519
Total Authors : 22414
Total Reviewer : 805
Total Countries : 159
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| Paper Title: | A Survey on Five-Dimensional Convolutional Neural Networks (5D-CNN |
| Authors Name: | Shilpa Biradar , Dr.Savita Patil , Dr.Anuradha Savadi |
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IJRTI_209506
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| Published Paper Id: | IJRTI2601134 |
| Published In: | Volume 11 Issue 1, January-2026 |
| DOI: | |
| Abstract: | The rapid growth of deep learning applications involving spatio-temporal, volumetric, and multi-modal data has driven the evolution of convolutional neural networks (CNNs) beyond traditional two-dimensional (2D) and three-dimensional (3D) models. Five-dimensional convolutional neural networks (5D-CNNs), which operate on tensors comprising time, channel, depth, height, and width dimensions, offer superior representational capability for complex data such as multi-view video, hyperspectral imaging, and medical diagnostics. However, the increased dimensionality introduces significant computational and hardware challenges, particularly for real-time and embedded systems. This paper presents a comprehensive survey of CNN dimensional evolution and introduces an efficient RTL-based hardware implementation of a 5D-CNN architecture. The proposed design leverages FSM-based control flattened memory organization, and MAC reuse to achieve scalability without exponential growth in hardware resources. Functional verification and cycle-level analysis demonstrate the feasibility of deploying 5D-CNNs in hardware-constrained environments. |
| Keywords: | 5D CNN; High-dimensional convolution; RTL implementation; FSM-based architecture; Hardware acceleration |
| Cite Article: | "A Survey on Five-Dimensional Convolutional Neural Networks (5D-CNN", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.11, Issue 1, page no.b252-b260, January-2026, Available :http://www.ijrti.org/papers/IJRTI2601134.pdf |
| Downloads: | 00078 |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2601134
Registration ID:209506
Published In: Volume 11 Issue 1, January-2026
DOI (Digital Object Identifier):
Page No: b252-b260 Country: Kalaburagi , Karnataka , India Research Area: Electronics & Communication Engg. Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2601134 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2601134 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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