[HTML][HTML] Smart healthcare disease diagnosis and patient management: Innovation, improvement and skill development
Data mining (DM) is an instrument of pattern detection and retrieval of knowledge from a
large quantity of data. Many robust early detection services and other health-related …
large quantity of data. Many robust early detection services and other health-related …
An efficient approach of product recommendation system using NLP technique
As we are moving toward an age of digital globalization and online shop**, there is an
increasing need for an efficient and reliable system that can help the consumers and the …
increasing need for an efficient and reliable system that can help the consumers and the …
[PDF][PDF] Sentiment analysis on COVID-19 vaccine tweets using machine learning and deep learning algorithms
Language Processing) is to analyze a sentiment or opinion of the text considered. In this
research the objective is to analyze the sentiment in the form of tweets towards the Covid-19 …
research the objective is to analyze the sentiment in the form of tweets towards the Covid-19 …
IOT-enabled model for weed seedling classification: An application for smart agriculture
Smart agriculture is a concept that refers to a revolution in the agriculture industry that
promotes the monitoring of activities necessary to transform agricultural methods to ensure …
promotes the monitoring of activities necessary to transform agricultural methods to ensure …
Service-Aware Hierarchical Fog–Cloud Resource Map**for e-Health with Enhanced-Kernel SVM
Fog–cloud-based hierarchical task-scheduling methods are embracing significant
challenges to support e-Health applications due to the large number of users, high task …
challenges to support e-Health applications due to the large number of users, high task …
Robust control of SEDCM by Fuzzy-PSO
Industries have many rotational operations that are used for design, transport, lift, drilling,
rolling, robotics, and many other applications. These rotating applications require a proper …
rolling, robotics, and many other applications. These rotating applications require a proper …
Statistical approach to detect Alzheimer's disease and autism spectrum-related neurological disorder using machine learning
Cases of mental disorders are not very uncommon to find, especially when the pace of life is
rapidly increasing. People neither have time to eat healthy and maintain a properly …
rapidly increasing. People neither have time to eat healthy and maintain a properly …
Enabling Sustainable Development Through Artificial Intelligence-Based Surveillance System on Cloud Platform
A Kharbanda, V Rana, NK Baghela… - … Conference on Sustainable …, 2023 - Springer
AI-based surveillance can assist in better managing staggered and irregular work schedules
by seamlessly identifying which employees are supposed to be in particular areas at certain …
by seamlessly identifying which employees are supposed to be in particular areas at certain …
[PDF][PDF] Probability Based Regression Analysis for the Prediction of Cardiovascular Diseases.
Machine Learning (ML) has changed clinical diagnostic procedures drastically. Especially in
Cardiovascular Diseases (CVD), the use of ML is indispensable to reducing human errors …
Cardiovascular Diseases (CVD), the use of ML is indispensable to reducing human errors …
An Effective Investigation on Implementation of Different Learning Techniques Used for Heart Disease Prediction
A Gupta, AS Chouhan, K Jyothi… - … (Trends and Future …, 2024 - ieeexplore.ieee.org
Coronary artery disease and its aftereffects are among the leading causes of death
worldwide in the modern era, despite the fact that death rates can be considerably lowered …
worldwide in the modern era, despite the fact that death rates can be considerably lowered …