Supply chains provide a network describing how resources move from a source to delivery for consumption by the end user. Supply chains also involve the components involved in production and transportation of the commodities being moved in the supply chain. There is a need for modeling links in a supply chain to estimate supply and demand and to ensure...

Today's high-performance computing (HPC) systems are largely structured based on traditional central processing units (CPUs) with tightly coupled general-purpose graphics processing units (GPUs, which can be considered domain-specific accelerators). GPUs have a different programming model than CPUs and are only efficient in exploiting spatial parallelism...

Today's high-performance computing (HPC) systems are largely structured based on traditional central processing units (CPUs) with tightly coupled general-purpose graphics processing units (GPUs, which can be considered domain-specific accelerators). GPUs have a different programming model than CPUs and are only efficient in exploiting spatial parallelism...

Today's high-performance computing (HPC) systems are largely structured based on traditional central processing units (CPUs) with tightly coupled general-purpose graphics processing units (GPUs, which can be considered domain-specific accelerators). GPUs have a different programming model than CPUs and are only efficient in exploiting spatial parallelism...

Inverters are devices typically used in solar power generation systems to convert electric current to a more useful type, but are prone to failure and are the main cause of malfunction in solar power systems. Using transformer-less (TL) inverters is a desirable alternative because of their higher efficiency, lower size, and lower cost. However, TL inverters...

The rise of artificial intelligence is changing the shape of many different fields, and ophthalmic medicine is no exception. Convolutional neural networks (CNNs) have achieved remarkable results in the assisted diagnosis of ophthalmic diseases. However, they face challenges such as limited labeling and small dataset sizes. In recent years, self-supervised...

Epilepsy is a debilitating disorder that affects 50 million people worldwide, including one in 150 children. Some patients with epilepsy (including roughly 20-40% of children) suffer from refractory seizures despite treatment with anticonvulsants, i.e. pharmaco-resistant epilepsy (PRE), which results in increased morbidity and mortality. Early identification...

The amount of time and money that goes into getting a drug from initial discovery to FDA approval is substantial, typically involving at least 10 years and hundreds of millions of dollars. Because of this, there has been a growing interest in repurposing drugs which have previously been approved for human use, particularly since their MOA as well as...

Stress related psychiatric disorders (SRPDs) such as post-traumatic stress disorder (PTSD), major depressive disorder (MDD), mood disorders, psychotic disorders, anxiety disorders, substance use disorders (SUDs) and more, are a leading disease burden worldwide with increasing diagnoses among adolescents as well as adults. They are influenced by both...

Federated learning (FL) is envisaged to be a promising solution for collaboratively training a machine learning model while keeping the training data decentralized and private. For example, in FL, different participants might have different samples of data from different classes. Some participants might have no samples from some of the subclasses...