[HTML][HTML] Hybrid Majority Voting: Prediction and Classification Model for Obesity
Because it is associated with most multifactorial inherited diseases like heart disease,
hypertension, diabetes, and other serious medical conditions, obesity is a major global …
hypertension, diabetes, and other serious medical conditions, obesity is a major global …
Segmentation and classification of skin lesions using hybrid deep learning method in the Internet of Medical Things
Abstract Introduction Particularly within the Internet of Medical Things (IoMT) context, skin
lesion analysis is critical for precise diagnosis. To improve the accuracy and efficiency of …
lesion analysis is critical for precise diagnosis. To improve the accuracy and efficiency of …
[PDF][PDF] The application of machine learning to the prediction of heart attack.
Heart illnesses are among the most significant contributors to mortality in the world in the
modern era. Heart attacks are responsible for the death of one person every 33 seconds …
modern era. Heart attacks are responsible for the death of one person every 33 seconds …
[HTML][HTML] Data Mining-Based Point of Sale with Auto-Source Triggering and Business Reports
With the advent of cutting-edge innovations like Cloud Computing, AI, ML, etc., business
owners now have the option of selecting a system that is scalable, user-friendly, and safe …
owners now have the option of selecting a system that is scalable, user-friendly, and safe …
[HTML][HTML] Integrating Sigmoid Calibration Function into Entropy Thresholding Segmentation for Enhanced Recognition of Potholes Imaged Using a UAV Multispectral …
S Nomqupu, A Sali, A Nyamugama, N Ndou - Applied Sciences, 2024 - mdpi.com
This study was aimed at enhancing pothole detection by combining sigmoid calibration
function and entropy thresholding segmentation on UAV multispectral imagery. UAV …
function and entropy thresholding segmentation on UAV multispectral imagery. UAV …
[PDF][PDF] OTP As a Service in the Cloud Allows for Authentication of Multiple Services
Annotation: Users no longer trust traditional password-based authentication methods since
so many online services now interact with one another. Credentials obtained online are …
so many online services now interact with one another. Credentials obtained online are …
Identifying Burnt Areas in Forests and Land Fire Using Multitemporal Normalized Burn Ratio (NBR) Index on Sentinel-2 Satellite Imagery.
Forest and land fires are global disasters that pose a serious threat to society, particularly
during the dry season. Sumatra Island, located in Indonesia, is one of the areas prone to …
during the dry season. Sumatra Island, located in Indonesia, is one of the areas prone to …
[PDF][PDF] A New Natural Language Processing-Based Essay Grading Algorithm
The evaluation of an English essay is one of the most significant and difficult activities that is
manually carried out by knowledgeable and capable instructors and faculty members. The …
manually carried out by knowledgeable and capable instructors and faculty members. The …
[PDF][PDF] Start with the End E ect Measurement of Behavioural Influencing in Military Operations
L Jasper, S Puttonen, M de Jong, S van der Zee… - 2023 - hcss.nl
Information1 has long determined the outcome of war, both on the battlefield and by
“winning hearts and minds”. 2 It dates back as far as 12th century BCE when, according to …
“winning hearts and minds”. 2 It dates back as far as 12th century BCE when, according to …
Exploring Regression and Classification in Big Data with Deep Learning
R Pandey, AS Rongali, S Gopinath… - … on Power Energy …, 2023 - ieeexplore.ieee.org
Deep gaining knowledge is a synthetic intelligence approach used to recognize complex
facts. It uses many facts to recognize the complicated relationships between various factors …
facts. It uses many facts to recognize the complicated relationships between various factors …