Glaucoma is a slowly progressing optic neuropathy that may eventually lead to blindness.
To help patients receive customized treatment, predicting how quickly the disease will …

We present an architecture of a spike based multiclass classifier using neurons with non-linear
dendrites and sparse synaptic connectivity where each synapse takes a binary value. …

Immense amount of high-content image data generated in drug discovery screening requires
computationally driven automated analysis. Emergence of advanced machine learning …

With smart electronic devices delving deeper into our everyday lives, predictive maintenance
solutions are gaining more traction in the electronic manufacturing industry. It is imperative …

Several matrix metalloproteinases (MMPs), including MMP-1, -3, and -9, mediate matrix
destruction during chronic inflammatory diseases such as arthritis and atherosclerosis. MMP up-…

Methods: Eighty selected participants were divided into four equal groups including normal
healthy participants, newly diagnosed cases of hypertension, stable angina pectoris and …

This letter presents a spike-based model that employs neurons with functionally distinct
dendritic compartments for classifying high-dimensional binary patterns. The synaptic inputs …

Composite materials are extensively used in aircraft structures, wherein they are subjected
to cyclic loads and subsequently impact-induced damages. Progressive fatigue degradation …

In many industries, there is a growing awareness to ensure the reliability and availability of
manufacturing systems. Monitoring the health of machines enables the users to schedule …

Prognostics and Health Management (PHM) plays a key role in Industry 4.0 revolution by
providing smart predictive maintenance solutions. Early failure detection and prediction of …