Automatic Classification of Cardiac Arrhythmias using Deep Learning Techniques: A Systematic Review

F Vásquez-Iturralde, M Flores-Calero… - IEEE …, 2024 - ieeexplore.ieee.org
Cardiac arrhythmias are one of the main causes of death worldwide; therefore, early
detection is essential to save the lives of patients who suffer from them and to reduce the …

Brain Tumor Image Prediction from MR Images Using CNN Based Deep Learning Networks

B Sudhakar, PA Sikrant, ML Prasad, SB Latha… - Journal of Information …, 2024 - jitm.ut.ac.ir
Finding a brain tumor yourself by a human in this day and age by looking through a large
quantity of magnetic-resonance-imaging (MRI) images is a procedure that is both …

Chronic Kidney Disease Risk Prediction Using Machine Learning Techniques

ML Prasad, A Kiran, PC Shaker Reddy - Journal of Information …, 2024 - jitm.ut.ac.ir
In healthcare, a diagnosis is reached after a thorough physical assessment and analysis of
the patient's medicinal history, as well as the utilization of appropriate diagnostic tests and …

An Adaptive Deep Learning Model for Crop Yield Prediction

A Gadupudi, RY Rani, B Jayaram… - … and Control (IC4), 2024 - ieeexplore.ieee.org
Agriculture is the study and practice of raising plants and animals for human consumption.
Approximately 60.45% of India's land is devoted to farming, making it the country's second …

A Deep Learning Framework for Prognosis Patients with COVID-19

MK Shaik, K Vanaparthi, G Swarnalatha… - 2024 Third …, 2024 - ieeexplore.ieee.org
A branch of AI known as “deep learning” sifts through mountains of data in search of patterns
and predictions using a machine learning approach called an artificial neural network …

Breast Cancer Classification through Meta-Learning Ensemble Model based on Deep Neural Networks

S Padmini P, KA Kumar, K Chanthirasekaran… - Journal of Information …, 2024 - jitm.ut.ac.ir
Predicting the development of cancer has always been a serious challenge for scientists
and medical professionals. The prompt identification and prognosis of a disease is greatly …

Brain Tumor Classification Using UNet Deep Neural Networks from 3D MRI Images

MK Shaik, D Kalpana, U Sesadri… - 2024 International …, 2024 - ieeexplore.ieee.org
A patient's therapy options and prognosis are both improved by detecting and diagnosing a
brain tumor early. Brain tumors can be located and diagnosed with the help of magnetic …

An Adaptive Intrusion Detection System in Industrial Internet of Things (IIoT) using Deep Learning

EVN Jyothi, M Kranthi, S Sailaja… - … , and Smart Systems …, 2024 - ieeexplore.ieee.org
The Industrial-Internet-of-Things (IIoT) is a product of the extensive use of the Internet-of-
Things (IoT) in vital industries including manufacturing and industrial production. To improve …

A Novel Meta-Learning Ensemble Framework for Cancer Classification Using Convolution Neural Networks

A Nangunuri, AT Somnathe, B Prasanthi… - 2024 International …, 2024 - ieeexplore.ieee.org
Detecting cancer at an early stage is vital because it is a complicated global health crisis that
killed 10 million people in 2018. Creating more accurate technology that provides …

Early Prediction and Diagnosis Cardiovascular Disease Using Deep Learning Models

RY Rani, ML Prasad, IS Reddy… - … in Computer Science …, 2024 - ieeexplore.ieee.org
Cardiovascular disease (CVD) risk assessment and prognosis in otherwise healthy people
is an important part of disease management. Early detection and diagnosis of CVD …