An overview of powder granulometry on feedstock and part performance in the selective laser melting process
Metal Additive Manufacturing (AM) has begun its revolution in various high value industry
sectors through enabling design freedom and alleviating laborious machining operations …
sectors through enabling design freedom and alleviating laborious machining operations …
Human Wharton's jelly stem cells have unique transcriptome profiles compared to human embryonic stem cells and other mesenchymal stem cells
CY Fong, LL Chak, A Biswas, JH Tan… - Stem Cell Reviews and …, 2011 - Springer
The human umbilical cord that originates from the embryo is an extra-embryonic membrane
and the Wharton’s jelly within it is a rich source of stem cells (hWJSCs). It is not definitely …
and the Wharton’s jelly within it is a rich source of stem cells (hWJSCs). It is not definitely …
Infrared thermography on ocular surface temperature: a review
Body temperature is a good indicator of human health. Thermal imaging system (thermography)
is a non-invasive imaging procedure used to record the thermal patterns using Infrared (…
is a non-invasive imaging procedure used to record the thermal patterns using Infrared (…
Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals
An encephalogram (EEG) is a commonly used ancillary test to aide in the diagnosis of epilepsy.
The EEG signal contains information about the electrical activity of the brain. Traditionally…
The EEG signal contains information about the electrical activity of the brain. Traditionally…
A deep convolutional neural network model to classify heartbeats
The electrocardiogram (ECG) is a standard test used to monitor the activity of the heart.
Many cardiac abnormalities will be manifested in the ECG including arrhythmia which is a …
Many cardiac abnormalities will be manifested in the ECG including arrhythmia which is a …
Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals
The electrocardiogram (ECG) is a useful diagnostic tool to diagnose various cardiovascular
diseases (CVDs) such as myocardial infarction (MI). The ECG records the heart's electrical …
diseases (CVDs) such as myocardial infarction (MI). The ECG records the heart's electrical …
Automated detection of arrhythmias using different intervals of tachycardia ECG segments with convolutional neural network
Our cardiovascular system weakens and is more prone to arrhythmia as we age. An arrhythmia
is an abnormal heartbeat rhythm which can be life-threatening. Atrial fibrillation (A fib ), …
is an abnormal heartbeat rhythm which can be life-threatening. Atrial fibrillation (A fib ), …
The transcriptome profile of human embryonic stem cells as defined by SAGE
M Richards, SP Tan, JH Tan, WK Chan, A Bongso - Stem cells, 2004 - academic.oup.com
Human embryonic stem (ES) cell lines that have the ability to self‐renew and differentiate
into specific cell types have been established. The molecular mechanisms for self‐renewal …
into specific cell types have been established. The molecular mechanisms for self‐renewal …
Automated EEG-based screening of depression using deep convolutional neural network
In recent years, advanced neurocomputing and machine learning techniques have been
used for Electroencephalogram (EEG)-based diagnosis of various neurological disorders. In …
used for Electroencephalogram (EEG)-based diagnosis of various neurological disorders. In …
Deep convolution neural network for accurate diagnosis of glaucoma using digital fundus images
Glaucoma progressively affects the optic nerve and may cause partial or complete vision
loss. Raised intravascular pressure is the only factor which can be modified to prevent …
loss. Raised intravascular pressure is the only factor which can be modified to prevent …