Prediction and classification of ventricular arrhythmia based on phase-space reconstruction and fuzzy c-means clustering
Sign Up to like & getrecommendations! Published in 2022 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2021.105180
Abstract: BACKGROUND AND OBJECTIVE Prediction and classification of Ventricular Arrhythmias (VA) may allow clinicians sufficient time to intervene for stopping its escalation to Sudden Cardiac Death (SCD). This paper proposes a novel method for predicting VA… read more here.
Keywords: classification ventricular; prediction classification; prediction; classification ... See more keywords
A Survey of Prediction and Classification Techniques in Multicore Processor Systems
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2018.2878699
Abstract: In multicore processor systems, being able to accurately predict the future provides new optimization opportunities, which otherwise could not be exploited. For example, an oracle able to predict a certain application’s behavior running on a… read more here.
Keywords: processor systems; prediction classification; prediction; multicore processor ... See more keywords
A novel Skin lesion prediction and classification technique: ViT‐GradCAM
Sign Up to like & getrecommendations! Published in 2024 at "Skin Research and Technology"
DOI: 10.1111/srt.70040
Abstract: Skin cancer is one of the highly occurring diseases in human life. Early detection and treatment are the prime and necessary points to reduce the malignancy of infections. Deep learning techniques are supplementary tools to… read more here.
Keywords: classification; skin lesion; prediction; lesion prediction ... See more keywords
Self-Supervised Learning with Adaptive Frequency-Time Attention Transformer for Seizure Prediction and Classification
Sign Up to like & getrecommendations! Published in 2025 at "Brain Sciences"
DOI: 10.3390/brainsci15040382
Abstract: Background: In deep learning-based epilepsy prediction and classification, enhancing the extraction of electroencephalogram (EEG) features is crucial for improving model accuracy. Traditional supervised learning methods rely on large, detailed annotated datasets, limiting the feasibility of… read more here.
Keywords: self supervised; supervised learning; prediction classification; transformer ... See more keywords