XLV Mexican Conference on Biomedical Engineering

Name: XLV Mexican Conference on Biomedical Engineering
Price: 4236 SEK
Availability: InStock

Proceedings of CNIB 2022, 6–8 October, Puerto Vallarta, México

AvCitlalli Jessica Trujillo-Romero,Rafael Gonzalez-Landaeta

2022

Del i serien IFMBE Proceedings

4 236 kr

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Beskrivning

This book reports on fundamental research, cutting-edge technologies and industrially-relevant applications in biomedical engineering. It covers methods for analysis, modeling and simulation of biological systems, reporting on the development and design of advanced biosensors, nanoparticles and wearable devices.

Produktinformation

Utgivningsdatum:2022-10-24
Höjd:155 x 235 x 52 mm
Vikt:1 436 g
Språk:Engelska
Serie:IFMBE Proceedings
Antal sidor:888
Förlag:Springer International Publishing AG
EAN:9783031182556

Utforska kategorier

Biokemisk teknik inom Naturvetenskap och teknik
Regenerativ medicin inom Medicin
Biovetenskap inom Naturvetenskap och teknik

Innehållsförteckning

Device for the Fall Detection in Older Adults Through Neural Networks.- Breast Cancer Detection Algorithm Using Ensemble Learning.- Graph Analysis of Functional Connectivity Rs-FMRI in Healthy and Epileptic Brain Using Visibility Algorithm.- Imagined Speech Recognition in a Subject Independent Approach Using a Prototypical Network.- Design and Comparison of Artificial Intelligent Algorithms for Breast Cancer Classification.- Electrophysiological Signals Simulation with Machine Learning.- Quantification of a Lip and Palate Clefts Classification.- Artificial Intelligence Applied to Breast Cancer Classification.- Computational Chemistry as an Educational Tool in Health Sciences.- A Gene-Community Overview of Transcriptional Dynamics During Neurodevelopment.- CNNs for ISCI Stage Recognition on Video Sequences.- Stacked Spatial and Temporal Deep Learning Methods for Identification of Parkinson’s Disease Using Gait Signals.- Diversity of Genotyping Chlamydia Trachomatis Serovars in Urogenital Samples from Mexican Patients: A Molecular and Bioinformatic Characterization.- Detection of Breast Cancer in Mammography Using Deep Learning Models.

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