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Comprehensive machine and deep learning analysis of sensor-based human activity recognition
Abstract Human Activity Recognition (HAR) is a crucial research focus in the body area
networks and pervasive computing domains. The goal of HAR is to examine activities from …
networks and pervasive computing domains. The goal of HAR is to examine activities from …
A concentrated machine learning-based classification system for age-related macular degeneration (AMD) diagnosis using fundus images
The increase in eye disorders among older individuals has raised concerns, necessitating
early detection through regular eye examinations. Age-related macular degeneration (AMD) …
early detection through regular eye examinations. Age-related macular degeneration (AMD) …
[HTML][HTML] Early detection of monkeypox: Analysis and optimization of pretrained deep learning models using the Sparrow Search Algorithm
The global spread of monkeypox across over 40 countries is a major health challenge. Its
symptoms resemble those of chickenpox and measles, complicating early diagnosis. When …
symptoms resemble those of chickenpox and measles, complicating early diagnosis. When …
Early diagnosis of prostate cancer using parametric estimation of ivim from dw-mri
Prostate cancer (PCa) is a widespread type of cancer that leads to numerous fatalities and a
high financial cost. The chance of survival for PCa patients increases when the disease is …
high financial cost. The chance of survival for PCa patients increases when the disease is …
Precise Prostate Cancer Assessment Using IVIM-Based Parametric Estimation of Blood Diffusion from DW-MRI
Prostate cancer is a significant health concern with high mortality rates and substantial
economic impact. Early detection plays a crucial role in improving patient outcomes. This …
economic impact. Early detection plays a crucial role in improving patient outcomes. This …
Comprehensive multimodal approach for Parkinson's disease classification using artificial intelligence: insights and model explainability
Parkinson's disease (PD) is a debilitating neurodegenerative disorder affecting millions
worldwide. Early detection is vital for effective management, yet remains challenging. In this …
worldwide. Early detection is vital for effective management, yet remains challenging. In this …
A Neuroimaging ML-Based Framework for Anosmia Grading in Covid-19
SARS-CoV-2 is the cause of the acute respiratory illness COVID-19. In order to identify
whether a COVID-19 patient has normal, moderate, or severe anosmia, this study suggests …
whether a COVID-19 patient has normal, moderate, or severe anosmia, this study suggests …
Sensor-Based Human Activity Recognition Analysis Using Machine Learning and Topological Data Analysis (TDA)
The research focus of human activity recognition (HAR) is to classify activities from sensor
data, video, or images, and it is crucial in the field of body area networks and pervasive …
data, video, or images, and it is crucial in the field of body area networks and pervasive …
Síndrome de burnout en mujeres: factores de riesgo y estrategias de intervención
D Chugcho Cadena - 2024 - repositorio.uisek.edu.ec
La investigación sobre el síndrome de Burnout en mujeres aborda una problemática
creciente, a través de una revisión sistemática que destaca la alta prevalencia del …
creciente, a través de una revisión sistemática que destaca la alta prevalencia del …
Using K-means Techniques for Clustering Depressed Patients in Mahasarakham Province
S Srisanga, A Pahdungcharoen… - วารสาร วิชาการ การ …, 2023 - ph02.tci-thaijo.org
This study used advanced data mining techniques to examine the patterns of depression
and service use among patients in Mahasarakham Province. The focus was to understand …
and service use among patients in Mahasarakham Province. The focus was to understand …