fkan: Fractional kolmogorov-arnold networks with trainable jacobi basis functions

AA Aghaei - Neurocomputing, 2025 - Elsevier
Recent advancements in neural network design have given rise to the development of
Kolmogorov-Arnold Networks (KANs), which enhance interpretability and precision of these …

Very deep feature extraction and fusion for arrhythmias detection

M Amrani, M Hammad, F Jiang, K Wang… - Neural Computing and …, 2018 - Springer
The electrocardiogram (ECG) is a picture of heart electrical conduction, which is widely used
to diagnose many types of diseases such as abnormal heartbeat rhythm (arrhythmia) …

Using multivariate regression and ANN models to predict properties of concrete cured under hot weather

A Maqsoom, B Aslam, ME Gul, F Ullah, AZ Kouzani… - Sustainability, 2021 - mdpi.com
Concrete is an important construction material. Its characteristics depend on the
environmental conditions, construction methods, and mix factors. Working with concrete is …

Prediction of properties of concrete cured under hot weather using multivariate regression and ANN Models

M Nasir, U Gazder, M Maslehuddin… - Arabian Journal for …, 2020 - Springer
Concreting in hot weather poses special problems, and the properties of concrete are
significantly influenced by mix parameters, construction practices and environmental …

Prediction of strength of plain and blended cement concretes cured under hot weather using quadratic regression and ANN tools

M Nasir, U Gazder, MU Khan, M Rasul… - Arabian Journal for …, 2022 - Springer
Concreting and curing under hot climatic conditions pose adverse effects on the
characteristics of concrete. These challenges have prompted cement and concrete …

rECGnition_v1. 0: Arrhythmia detection using cardiologist-inspired multi-modal architecture incorporating demographic attributes in ECG

S Srivastava, D Kumar, J Bedi, S Seth… - arXiv preprint arXiv …, 2024 - arxiv.org
A substantial amount of variability in ECG manifested due to patient characteristics hinders
the adoption of automated analysis algorithms in clinical practice. None of the ECG …

An emotion recognition approach based on wavelet transform and second-order difference plot of ECG

A Goshvarpour, A Abbasi - Journal of AI and Data Mining, 2017 - jad.shahroodut.ac.ir
Emotion, as a psychophysiological state, plays an important role in human communications
and daily life. Emotion studies related to the physiological signals are recently the subject of …

Heartbeat Classification Based on Multifeature Combination and Stacking‐DWKNN Algorithm

S Ji, R Li, S Shen, B Li, B Zhou… - Journal of Healthcare …, 2021 - Wiley Online Library
Arrhythmia is one of the most common abnormal symptoms that can threaten human life. In
order to distinguish arrhythmia more accurately, the classification strategy of the multifeature …

Discrete Wavelet Transform based ECG classification using gcForest: A deep ensemble method

M Lin, Y Hong, S Hong, S Zhang - Technology and Health …, 2024 - content.iospress.com
BACKGROUND: Cardiovascular diseases (CVDs) are the leading global cause of mortality,
necessitating advanced diagnostic tools for early detection. The electrocardiogram (ECG) is …

Cardiac Arrhythmia Diagnosis with an Intelligent Algorithm using Chaos Features of Electrocardiogram Signal and Compound Classifier

E Zarei, N Barimani… - Journal of AI and Data …, 2022 - jad.shahroodut.ac.ir
Cardiac Arrhythmias are known as one of the most dangerous cardiac diseases. Applying
intelligent algorithms in this area, leads into the reduction of the ECG signal processing time …