Spiking neural networks (SNNs) are promising in ascertaining brain-like behaviors since
spikes are capable of encoding spatio-temporal information. Recent schemes, eg, pre …

Background A seizure prediction system can detect seizures prior to their occurrence and
allow clinicians to provide timely treatment for patients with epilepsy. Research on seizure …

This paper aims to explore the problems associated in solving the classification of cancer in
gene expression data using deep learning model. Our proposed solution for the cancer …

Artificial intelligence (AI) allows the systems to observe from environments, perform certain
functionalities and aims to maximise the probability of success in solving real world …

Cyber-physical system (CPS) can increase efficiency and lower costs in manufacturing
operations. CPS and related technologies can help medical device manufacturers to meet …

Gaisi Takeuti was one of the most brilliant, genius, and influential logicians of the twentieth
century. He was born on January 25, 1926, in Ishikawa Prefecture in Japan, graduated from …

This paper aims to explore the proposed solution of using deep learning model in genomic
data associated in exploring cancer biomarkers. Our proposed solution is the saliency map …

With the maturity of artificial intelligence (AI) technology and the widening of its application
fields, scientific progresses and industrial reforms in recent years have shown that AI …

In order to solve the problem of behavior recognition in short video, this paper first proposes
a key frame extraction algorithm based on mutual information entropy, which uses sliding …

In clinic, the success rate of surgical resection of the epileptic focus in the treatment of focal
intractable epilepsy is only about 25%. The main reason for the low success rate is that the …