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Biotechnology and Health Sciences : Proceedings of BIOCOM 2025 / edited by R. Simon Sherratt, João Manuel R. S. Tavares, Simon Fong, Nilanjan Dey.
Springer Nature - Springer Medicine (R0) eBooks 2025 English International Available online
View online- Format:
- Book
- Author/Creator:
- Sherratt, R. Simon.
- Series:
- Lecture Notes in Computational Vision and Biomechanics, 2212-9413 ; 40
- Language:
- English
- Subjects (All):
- Biomedical engineering.
- Image processing.
- Artificial intelligence.
- Biomedical Engineering and Bioengineering.
- Image Processing.
- Artificial Intelligence.
- Local Subjects:
- Biomedical Engineering and Bioengineering.
- Image Processing.
- Artificial Intelligence.
- Physical Description:
- 1 online resource (184 pages)
- Edition:
- 1st ed. 2025.
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
- Summary:
- This book reports on timely research at the interface between biomedical engineering and intelligence technologies applied to biology and health care. It covers cutting-edge methods applied to biomechanics and robotics, EEG time series analysis, blood glucose prediction models, among others. It includes peer reviewed papers presented at the Second International Conference on Innovations in Biotechnology and Health Sciences (BIOCOM 2025), held at London, United Kingdom, during 18–19 February 2025.
- Contents:
- Transfer Learning-Boosted CNN for Computationally Efficient Multi-Cancer Detection
- Novel Integrated Approach for Early Detection of Asperger’s Syndrome Using Machine Learning
- Management of Informaciology Processes in Medicine and Health Tourism
- Machine learning for myocardial infarction detection in ECG signals—the influence of the image background
- Efficient Cardiac Image Segmentation with Compressed Vision Transformers and Post-Training Quantization
- Synchronization of Life Science with Data Science: The Roles of Big Data Analytics
- Transfer Learning Techniques for Efficient Deep Neural Networks in Real-Time Strawberry Freshness Evaluation
- Adaptive Clinical Pathways for IDDM Management Using Hybrid Data Stream Mining and Fuzzy Rule Induction
- Are LLMs Ready to Shoulder Biomedical Trust?.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 981-9661-03-X
- OCLC:
- 1529646356
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