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[HTML][HTML] An electrocardiogram signal classification using a hybrid machine learning and deep learning approach
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 …
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
Cardiovascular diseases are a leading cause of increased mortality worldwide.
Electrocardiogram (ECG) signals is the most effective tool and plays a crucial role in …
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 …
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 …
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 …
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
Blurred text documents such as historical documents, handwritten manuscripts, old
newspapers, moist invoices or legal agreements, old books, hand written notes often …
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
Research on emotion recognition has made an increasing amount of emphasis on the
understanding of Electroencephalogram (EEG) signals. Using two well-known datasets-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 …
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
This paper introduces a new methodology for optimization problems, combining the Grey
Wolf Optimizer (GWO) with Simi-stochastic search processes. Intelligent optimizations …
Wolf Optimizer (GWO) with Simi-stochastic search processes. Intelligent optimizations …
Novel Hellinger clustering method for efficient ECG optimized classification
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 …
improve the Particle Swarm Optimization (PSO) search. Selection of features plays an …