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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | A Novel Approach to Multimodal Data Fusion: LSTM-Based Pattern Recognition for Improved Classification |
| Authors Name: | Arvind Panwar , Hemant Bhardwaj |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_214850
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| Published Paper Id: | IJNRD2403062 |
| Published In: | Volume 9 Issue 3, March-2024 |
| DOI: | |
| Abstract: | This work presents a pattern recognition strategy that utilizes Long Short-Term Memory (LSTM) to tackle the difficulties related to integrating different types of data and improving feature learning. The main goal is to improve the accuracy of categorization by combining deep learning models that are designed for different types of input. A unified pattern recognition model is produced by association analysis.The method commences by training categorization models specifically designed for different sorts of data. The LSTM utilizes its ability to retain information over long periods of time in order to capture the temporal patterns present in the data. Next, the fusion approach is examined, and a method for determining adaptive weight fusion is introduced.The algorithmic workflow involves the manipulation of data before training a model and combining different types of data. Empirical evidence confirms that the suggested approach surpasses models that only rely on individual data types, demonstrating higher accuracy in categorization. |
| Keywords: | Multimodal Data Fusion, Long Short-Term Memory (LSTM), Pattern Recognition, Heterogeneous Data Integration, Deep Learning Models |
| Cite Article: | "A Novel Approach to Multimodal Data Fusion: LSTM-Based Pattern Recognition for Improved Classification", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 3, page no.a581-a596, March-2024, Available :http://www.ijnrd.org/papers/IJNRD2403062.pdf |
| Downloads: | 00048 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 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:IJNRD2403062 Registration ID: 214850 Published In: Volume 9 Issue 3, March-2024 DOI (Digital Object Identifier): Page No: a581-a596 Country: Ghaziabad, Uttar Pradesh, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2403062 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2403062 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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