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Chapter
In-Memory Computing for AI Accelerators: Challenges and Solutions
In-memory computing (IMC)-based hardware reduces latency as well as energy consumption for compute-intensive machine learning (ML) applications. Till date, several SRAM/ReRAM-based IMC hardware architectures t...
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Chapter and Conference Paper
Analysis on the Effectiveness of Transfer Learned Features for X-ray Image Retrieval
A computer-assisted system for retrieving medical images of identical contents can be used as a data processing method for managing and mining large amount of medical data, as well as in clinical decision supp...
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Chapter
A Novel Parametric Nonstationary Signal Model for EEG Signals and Its Application in Epileptic Seizure Detection
In this article, we present a novel parametric nonstationary signal model for electroencephalogram (EEG) signals and its application in epilepsy classification. The EEG signals are considered as signatures of ...
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Chapter and Conference Paper
ECG Morphological Features Based Sudden Cardiac Arrest (SCA) Prediction Using Nonlinear Classifiers
Sudden Cardiac Arrest (SCA) is a sudden loss of heart function often resulting from an electrical disturbance of the heart that disrupts the blood pum** function. This is mainly due to Ventricular Fibrillati...
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Chapter and Conference Paper
Mathematical Machines and Integrated Stem: An Intersubjective Constructionist Approach
In this chapter, we report two studies in which 3rd- and 4th-grade students used a distributed computing infrastructure (ViMAP-Tangible) in order to collaboratively invent “mathematical machines” for generatin...
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Article
Open AccessAssociation between anemia and quality of life in a population sample of individuals with chronic obstructive pulmonary disease
Several studies investigated the association of anemia with health related quality of life (HRQL) in patients with chronic disease. However, there is little evidence regarding the association of anemia with HR...
