[Retracted] Monitoring Cardiovascular Problems in Heart Patients Using Machine Learning

A Al Ahdal, M Rakhra, RR Rajendran… - Journal of healthcare …, 2023 - Wiley Online Library
The World Health Organization reports that heart disease is the most common cause of
death globally, accounting for 17.9 million fatalities annually. The fundamentals of a cure, it …

Indian Sign Language Recognition system for dynamic signs

A Singh, A Wadhawan, M Rakhra… - … (Trends and Future …, 2022 - ieeexplore.ieee.org
Sign language is a means of communication utilising manual gestures (movement of hands
and wrists) and non-manual gestures (expressions of face and body language). There are …

Classification and Prediction of License Plates Using Deeply Learned Convolutional Neural Networks

M Rakhra, D Singh, A Singh… - … on Reliability, Infocom …, 2022 - ieeexplore.ieee.org
Classifying and detecting of vehicle license plates using image processing techniques is an
exciting research topic in IoT technology and the Internet of Things. Recognizing a vehicle's …

An Analysis of the Impact of Business Analytics on Progress

M Rakhra, A Wadhawan, A Singh… - … (Trends and Future …, 2022 - ieeexplore.ieee.org
Business analytics is as a rule progressively used to pick up data driven experiences to help
basic leadership. We are finding a new technique which is help to less time-consuming …

Design and development an Agriculture robot for Seed sowing, Water spray and Fertigation

T Fadhaeel, A Al Ahdal, M Rakhra… - 2022 International …, 2022 - ieeexplore.ieee.org
Agriculture is one of the oldest activities practiced by man. Due to its importance in our daily
life and reliance on it, many technologists try to update a new development based on …

A Meta-analysis of Machine Learning for the Diagnosis of Covid-19 Disease

MN Gowda, D Singh - … on Data Science and Information System …, 2022 - ieeexplore.ieee.org
Coronavirus 2019 has wreaked havoc on people's lives all across the globe. The number of
positive cases is increasing, and the Asian country is now one of the most severely …

Comparative Study of Heart Failure Using the Approach of Machine Learning and Deep Neural Networks

S Mall, J Singh - International Conference on Data Analytics & …, 2023 - Springer
Heart failure, a complicated clinical syndrome, occurs when the heart cannot pump enough
oxygenated blood to satisfy the body's metabolic needs. It is a major public health problem …

Machine Learning Techniques to Detect Heart Disease in Early Stage using Feature-Based Classification

A Rajak, A Kumar, RN Panda, S Kumar - International Conference on …, 2023 - Springer
The techniques of artificial intelligence can be applied to predict the disease at an initial
stage. In this research paper, we will demonstrate the machine learning classification …

[PDF][PDF] Research Article Monitoring Cardiovascular Problems in Heart Patients Using Machine Learning

A Al Ahdal, M Rakhra, RR Rajendran, F Arslan… - 2023 - academia.edu
Te World Health Organization reports that heart disease is the most common cause of death
globally, accounting for 17.9 million fatalities annually. Te fundamentals of a cure, it is …

[PDF][PDF] A Review on Machine Learning-Based Algorithms for Heart Disease Diagnosis and Prediction

A Ali, LC Manikandan - 2022 - academia.edu
This work concentrates on different machine learning techniques that can be applied for the
early diagnosis of heart diseases. Different Machine Learning Algorithms like KNN (K …