Strategies for Biomolecular Analysis and Continuous Physiological Monitoring

2021 ◽  
Author(s):  
Amanda Clifford ◽  
Jagotamoy Das ◽  
Hanie Yousefi ◽  
Alam Mahmud ◽  
Jenise B. Chen ◽  
...  
Keyword(s):  
Physiological Monitoring ◽  
Biomolecular Analysis

A Microfluidic Device for Studying Mass Transfer Effects in Biomolecular Analysis

2002 ◽  
Author(s):  
Min Yue ◽  
Katherine Dunphy ◽  
Jerry Jenkins ◽  
Christopher Dames ◽  
Guanghua Wu ◽  
...  
Keyword(s):  
Mass Transfer ◽  
Microfluidic Device ◽  
Transfer Effects ◽  
Biomolecular Analysis

Physiological Monitoring in Diving Mammals

2012 ◽  
Author(s):  
Andreas Fahlman ◽  
Peter L. Tyack ◽  
Michael Moore ◽  
Warren Zapol ◽  
Richard Anderson ◽  
...  
Keyword(s):  
Physiological Monitoring

Physiological Monitoring in Diving Mammals

2013 ◽  
Author(s):  
Andreas Fahlman ◽  
Peter L. Tyack ◽  
Michael Moore ◽  
Warren Zapol ◽  
Richard Anderson ◽  
...  
Keyword(s):  
Physiological Monitoring

A lazy feature selection method for multi-label classification

2021 ◽  
Vol 25 (1) ◽  
pp. 21-34
Author(s):  
Rafael B. Pereira ◽  
Alexandre Plastino ◽  
Bianca Zadrozny ◽  
Luiz H.C. Merschmann
Keyword(s):  
Feature Selection ◽  
Text Categorization ◽  
Feature Selection Method ◽  
Selection Method ◽  
Video Classification ◽  
Classification Problems ◽  
Class Label ◽  
New Feature ◽  
Feature Selection Techniques ◽  
Biomolecular Analysis

In many important application domains, such as text categorization, biomolecular analysis, scene or video classification and medical diagnosis, instances are naturally associated with more than one class label, giving rise to multi-label classification problems. This has led, in recent years, to a substantial amount of research in multi-label classification. More specifically, feature selection methods have been developed to allow the identification of relevant and informative features for multi-label classification. This work presents a new feature selection method based on the lazy feature selection paradigm and specific for the multi-label context. Experimental results show that the proposed technique is competitive when compared to multi-label feature selection techniques currently used in the literature, and is clearly more scalable, in a scenario where there is an increasing amount of data.

Muscle Fibers Inspired High‐Performance Piezoelectric Textiles for Wearable Physiological Monitoring

2021 ◽  
pp. 2010962
Author(s):  
Yuanjie Su ◽  
Chunxu Chen ◽  
Hong Pan ◽  
Ye Yang ◽  
Guorui Chen ◽  
...  
Keyword(s):  
High Performance ◽  
Muscle Fibers ◽  
Physiological Monitoring
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