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- Publisher: Medical Information Science Reference
- ISBN-10: 152254769X
- ISBN-13: 9781522547693
- Format: 21.6 x 27.9 x 2.4 cm, kieti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems (e-book) (used book) | bookbook.eu
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Technological tools and computational techniques have enhanced the healthcare industry. These advancements have led to significant progress and novel opportunities for biomedical engineering. Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems is a pivotal reference source for emerging scholarly research on trends and techniques in the utilization of nature-inspired approaches in biomedical engineering. Featuring extensive coverage on relevant areas such as artificial intelligence, clinical decision support systems, and swarm intelligence, this publication is an ideal resource for medical practitioners, professionals, students, engineers, and researchers interested in the latest developments in biomedical technologies.
EXTRA 10 % discount with code: EXTRA
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- Publisher: Medical Information Science Reference
- ISBN-10: 152254769X
- ISBN-13: 9781522547693
- Format: 21.6 x 27.9 x 2.4 cm, kieti viršeliai
- Language: English English
Technological tools and computational techniques have enhanced the healthcare industry. These advancements have led to significant progress and novel opportunities for biomedical engineering. Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems is a pivotal reference source for emerging scholarly research on trends and techniques in the utilization of nature-inspired approaches in biomedical engineering. Featuring extensive coverage on relevant areas such as artificial intelligence, clinical decision support systems, and swarm intelligence, this publication is an ideal resource for medical practitioners, professionals, students, engineers, and researchers interested in the latest developments in biomedical technologies.
Reviews