Swarm optimization for biomedical applications /
"Biomedical engineering (BME) research has been a rapidly growing interdisciplinary research area that provides reasonable solutions to biological and medical problems to improve the healthcare system in recent years. It is connected with various applications like protein structure prediction,...
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| Format: | eBook |
| Language: | English |
| Published: |
Boca Raton :
CRC Press,
2025.
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| Edition: | First edition. |
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| Online Access: | Connect to the full text of this electronic book |
| Summary: | "Biomedical engineering (BME) research has been a rapidly growing interdisciplinary research area that provides reasonable solutions to biological and medical problems to improve the healthcare system in recent years. It is connected with various applications like protein structure prediction, computer-aided drug design, and computerized medical diagnosis based on image and signal data, which accomplish low-cost, accurate, and reliable solutions for improving healthcare services. With the recent advancement of machine learning (ML) and deep learning (DL) techniques are widely used in biomedical engineering applications to develop intelligent decision-making healthcare systems in real-time. However, improved accuracy and reliability in model performance can be a significant concern in tackling various types of data generated from medical images and signals, making it challenging for researchers and practitioners. Therefore, optimized models can produce quality healthcare services to handle the complexities involved in biomedical research. Various optimization techniques have been employed to optimize parameters, hyper-parameters, and architectural information of ML/DL models explicitly applied to biological, medical, and signal data. The swarm intelligence approach has recently shown its potential ability to solve complex non-linear optimization problems. It mimics the collective behavior of social swarms such as ant colonies, honey bees, and bird flocks. The cooperative nature of swarms can search global settings of ML/DL models, which efficiently provide the solution to biomedical engineering applications. Finally, our book proposal aims to provide the utility of swarm optimization to design ML/DL models to improve the solutions related to biomedical engineering"-- |
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| Item Description: | "A Science Publishers book." |
| Physical Description: | 1 online resource (xxiv, 302 pages). |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781032713762 1032713763 9781040324745 1040324746 9781040324738 1040324738 |