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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
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Issue Published : 115
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| Paper Title: | EfficientNet-based deep learning model for accurate Malaria Prediction |
| Authors Name: | Dr.C.A.Sathiya Moorthy , K.A. Lingeshwar , H. Imranali , S. Ragunath |
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IJRTI_202018
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| Published Paper Id: | IJRTI2504109 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | — Malaria remains a significant global health challenge, particularly in tropical and subtropical regions. Traditional prediction methods, relying on historical data and basic statistical models, often lack the precision needed to account for the complex dynamics of malaria transmission, influenced by environmental and seasonal factors. To overcome these limitations, the EfficientNet architecture is proposed as a more effective solution. EfficientNet, a family of convolutional neural networks, utilizes a compound scaling method to uniformly expand network depth, width, and resolution, enabling it to capture intricate features without excessive computational demands. By training on extensive datasets, EfficientNet can generalize across diverse regions and conditions, enhancing its predictive accuracy. This improved precision supports timely identification of potential outbreaks, aiding health authorities in resource allocation and intervention strategies. The adoption of EfficientNet in malaria prediction represents a significant step forward, offering a robust tool for more effective disease control and reducing the global impact of malaria. |
| Keywords: | Malaria Detection, EfficientNet-B0, Feature Extraction, Convolutional Neural Network (CNN), Image Classification, Transfer Learning, Data Augmentation, Confusion Matrix, Sensitivity (Recall), Precision, F1 Score, Medical Image Analysis, Deep Learning, Automated Diagnosis, Pretrained Model, Compound Scaling, Blood Smear Images. |
| Cite Article: | "EfficientNet-based deep learning model for accurate Malaria Prediction", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.b52-b58, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504109.pdf |
| Downloads: | 000384 |
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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: IJRTI2504109
Registration ID:202018
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: b52-b58 Country: Cuddalore, Tamilnadu, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504109 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504109 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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