Deep multi-model fusion for human activity recognition using evolutionary algorithms

KK Verma, BM Singh - 2021 - reunir.unir.net
Machine recognition of the human activities is an active research area in computer vision. In
previous study, either one or two types of modalities have been used to handle this task …

Continuous monitoring of COVID-19 pandemic trend for policy making: improvised application of Sen's innovative method

S Dauji - International Journal of Healthcare Technology …, 2023 - inderscienceonline.com
The study examines the efficacy of Sen's Innovative Trend Analysis for early identification of
the start of the rise in daily new SARS-COV2 cases and proposes simple improvisation for …

[HTML][HTML] Blockchain-Enabled Deep Learning Approach to Improve Healthcare System

P Das, M Singh, KK Verma - Journal of Multimedia Information System, 2024 - jmis.org
The healthcare industry has advanced its digitalization and use of electronic medical
records during the past ten years (EMRs). The EHR system gives the information's proprietor …

Clasificación de arritmias cardiacas usando redes neuronales convolucionales en muestras de ECG

V manuel astudillo Delgado, DR Luna… - Revista …, 2024 - revistapostgrado.eia.edu.co
El electrocardiograma (ECG) es una herramienta esencial en el diagnóstico de
enfermedades cardiovasculares, proporcionando información valiosa sobre el ritmo y la …

Aprendizaje profundo para la evaluación del ritmo cardiaco: Evaluación de modelos CNN en datos de ECG

VMA Delgado, DAR Luna… - I+ T+ C-Research …, 2023 - revistas.unicomfacauca.edu.co
The electrocardiogram (ECG) is a technique for detecting heart rhythm problems and
evaluating the cardiovascular system. Traditionally, physicians relied on manual …