Cover Image

QR Code

Practical guide for biomedical signals analysis using machine learning techniques : a MATLABʼ based approach

Main Author:	Subasi, Abdulhamit
Subjects:	Biosensors Artificial intelligence -- > Medical applications Electronic books
Online Access:	http://library.unisel.edu.my/web/guest/mylibrary

Similar Items

Practical machine learning for data analysis using python
by: Subasi, Abdulhamit

System theory and practical applications of biomedical signals
by: Baura, Gail D
Published: (2002)

Handbook of polymer applications in medicine and medical devices

Biosensors for medical applications
Published: (2012)

Advanced sensors for biomedical applications

Advanced sensors for biomedical applications

Label-free biosensors : techniques and applications
Published: (2009)

Optical fiber-based plasmonic biosensors : trends, techniques and applications
by: Kumar, Santosh

Bioceramic coatings for medical implants : trends and techniques
by: Heimann, Robert B

Implantable sensor systems for medical applications
Published: (2013)

Engineering materials for biomedical applications
Published: (2004)

Biomedical signal processing and signal modeling
by: Bruce, Eugene N
Published: (2001)

Biomedical applications of polymeric materials and composites
Published: (2017)

Smart biosensors in medical care

Materials for biomedical engineering : hydrogels and polymer-based scaffolds

Biological and biomedical coatings handbook : applications

Biomaterials in the design and reliability of medical devices
by: Helmus, Michael N
Published: (2002)

Assurance of sterility for sensitive combination products and materials : new paradigm to bring innovative healthcare products to patients

Wearable and implantable medical devices : applications and challenges

Hydroxyapatite coatings for biomedical applications

Nanobiomaterials : nanostructured materials for biomedical applications
Published: (2018)

Practical MATLAB deep learning : a project-based approach
by: Paluszek, Michael

Biotechnological approaches in waste management

Machine learning using TensorFlow cookbook : over 60 recipes on machine learning using deep learning solutions from Kaggle Masters and Google Developers Experts
by: Audevart, Alexia

Biomolecular sensors
Published: (2002)

Trends in deep learning methodologies : algorithms, applications, and systems

Practical machine learning in Javascript : tensorflow.js for web developers
by: Gerard, Charley

Porous media : applications in biological systems and biotechnology

Handbook of deep learning in biomedical engineering

Machine intelligence and signal analysis
Published: (2019)

Machine learning in medicine : a complete overview
by: Cleophas, Ton J
Published: (2015)

Hands-on deep learning with R : a practical guide to designing, building, and improving neural network models using R
by: Pawlus, Michael

Biomaterials science : an introduction to materials in medicine
Published: (2004)

Biomaterials science : an introduction to materials in medicine

Biomaterials : the intersection of biology and materials science
by: Temenoff, J. S
Published: (2008)

Machine learning and AI for healthcare : g data for improved health outcomes
by: Panesar, Arjun

Electroanalytical applications of quantum dot-based biosensors

Applied biomedical engineering using artificial intelligence and cognitive models
by: Garza-Ulloa, Jorge

Artificial intelligence, machine learning, and mental health in pandemics : a computational approach

Advances in artificial systems for medicine and education VI