Most current Alzheimer’s disease (AD) and mild cognitive disorders (MCI) studies use single
data modality to make predictions such as AD stages. The fusion of multiple data modalities …

Transcription factors (TFs) are macromolecules that bind to cis-regulatory specific sub-regions
of DNA promoters and initiate transcription. Finding the exact location of these binding …

Recently there has been a great research conducted on diverse variations of multi-objective
swarm optimization algorithms each of which might have its own strengths and weaknesses. …

Fine-tuning pretrained models for automatically summarizing doctor-patient conversation
transcripts presents many challenges: limited training data, significant domain shift, long and …

In this paper, we present a novel interval-valued fuzzy model-based controller for handling
the effects of uncertainty in controlling a complex dynamical system. Theoretically, model-…

Reducing the burden of documentation physicians are required to do with speech
understanding is a challenging and worthwhile goal with the potential to improve care. When …

As a highly sophisticated disease that humanity faces, cancer is known to be associated with
dysregulation of cellular mechanisms in different levels, which demands novel paradigms …

In cloud investment markets, consumers are looking for the lowest cost and a desirable fairness
while providers are looking for strategies to achieve the highest possible profit and return…

Prediction of survival for cancer patients is an open area of research. However, many of these
studies focus on datasets with a large number of patients. We present a novel method that …

Cancer survival prediction is an active area of research that can help prevent unnecessary
therapies and improve patient's quality of life. Gene expression profiling is being widely used …