[HTML][HTML] An electrocardiogram signal classification using a hybrid machine learning and deep learning approach

F Zabihi, F Safara, B Ahadzadeh - Healthcare Analytics, 2024 - Elsevier
An electrocardiogram (ECG) is a diagnostic tool that captures the electrical activity of the
heart. Any irregularity in the heart's electrical system is referred to as an arrhythmia, which …

Delineation of QRS features and denoising of ECG signal using Fejer Korovkin wavelet

HM Besfat, DJ Gelmecha, RS Singh - International Journal of Information …, 2024 - Springer
Cardiovascular diseases are a leading cause of increased mortality worldwide.
Electrocardiogram (ECG) signals is the most effective tool and plays a crucial role in …

An Analysis and Identification of Fake News using Machine Learning Techniques

M Arora, A Rana, G Gupta - 2024 11th International …, 2024 - ieeexplore.ieee.org
Fake news is one of the major issues in today's world because a piece of false information
can ruin someone's life easily. So, to identify these types of crimes, researchers introduced a …

Edge Computing empowered Cross-Platform Tool for Multifactorial Disorder Risk Assessment

DD Solomon, M Arora, CH Vanipriya… - … on Computing for …, 2024 - ieeexplore.ieee.org
The paper presents a novel approach to multifactorial disorder risk assessment through the
development and deployment of a cross-platform application empowered by edge …

Improved bounding box regression loss for weapon detection systems using deep learning

L Sumi, S Dey - International Journal of Information Technology, 2024 - Springer
Rising number of crime rate using firearms (such as open firing, robbery, suicides, mass
shootings, homicides, threatening at gun point, etc.), has underscored the growing …

ROBDD-TrOCRBERTa: a novel robust-optimized blurred document text deblurring and completion with DCGAN-TrOCR and DistilRoBERTa

A Ranjan, M Ravinder - International Journal of Information Technology, 2024 - Springer
Blurred text documents such as historical documents, handwritten manuscripts, old
newspapers, moist invoices or legal agreements, old books, hand written notes often …

EEG-based emotion recognition: An in-depth analysis using DEAP and SEED Datasets

SK Jha, S Suvvari, M Kumar - 2024 11th international …, 2024 - ieeexplore.ieee.org
Research on emotion recognition has made an increasing amount of emphasis on the
understanding of Electroencephalogram (EEG) signals. Using two well-known datasets-the …

Demystifying Intrusion Detection Process using Machine Learning Techniques

G Gupta, A Rana, A Gupta - 2024 11th International …, 2024 - ieeexplore.ieee.org
Machine learning methodologies have become indispensable in augmenting the efficacy of
intrusion detection systems (IDS). This paper furnishes a comprehensive survey of machine …

A proactive grey wolf optimization for improving bioinformatic systems with high dimensional data

AH Alsaeedi, D Al-Shammary, SM Hadi… - International Journal of …, 2024 - Springer
This paper introduces a new methodology for optimization problems, combining the Grey
Wolf Optimizer (GWO) with Simi-stochastic search processes. Intelligent optimizations …

Novel Hellinger clustering method for efficient ECG optimized classification

RR Rfys, D Al-Shammary, AM Mahdi, F Sufi - International Journal of …, 2024 - Springer
This paper develops a new clustering technique based on Hellinger distance (HD) that can
improve the Particle Swarm Optimization (PSO) search. Selection of features plays an …