ECG-BiCoNet: An ECG-based pipeline for COVID-19 diagnosis using Bi-Layers of deep features integration

O Attallah - Computers in biology and medicine, 2022 - Elsevier
The accurate and speedy detection of COVID-19 is essential to avert the fast propagation of
the virus, alleviate lockdown constraints and diminish the burden on health organizations …

A systematic review of blockchain technology and its applications

BH Naikwadi, KG Kharade, S Yuvaraj… - Recent Trends in …, 2021 - ebooks.iospress.nl
Blockchain technology could radically transform our business environment in the decades to
come. It has the power to redefine our views of business processes and may even impact …

Customer segmentation using machine learning

N Patankar, S Dixit, A Bhamare… - Recent Trends in …, 2021 - ebooks.iospress.nl
Nowadays Customer segmentation became very popular method for dividing company's
customers for retaining customers and making profit out of them, in the following study …

Deployment of Computer assisted instruction in higher educational organization

M Rajesh - Recent Trends in Intensive Computing, 2021 - books.google.com
The current study looked at how computers help students of different reading abilities.
Studies have been conducted on the effect of computers on educational achievement and …

[PDF][PDF] Customer Churn Prediction in Telecom Industry Using Data Mining Techniques

AK Singh, AD Ture, AJ Shaikh… - The Journal of …, 2024 - jcse.cloud
Customer churn prediction is essential for telecom companies to retain customers and
minimize revenue loss. This study applies three machine learning techniques—Logistic …

[PDF][PDF] Enhancing Prediction Accuracy in Healthcare Data Using Advanced Data Mining Techniques

DM Bairagade, K Sharma, PR More - The Journal of …, 2024 - researchgate.net
This paper explores the application of advanced data mining techniques to enhance
prediction accuracy in healthcare data. Utilizing a hypothetical dataset of patient records, we …

Mall Customer Segmentation Engine Through Clustering Analysis

M Vijarania, N Kumar, R Kumar… - Handbook of Research on …, 2023 - igi-global.com
Finding related information within a cluster is done using a technique called clustering. The
dataset cluster uses the data's maximum and minimum values to group together similar data …

[PDF][PDF] Application of big data analytics and pattern recognition aggregated with random forest for detecting fraudulent credit card transactions (CCFD-BPRRF)

BJ Jaidhan, BD Madhuri, K Pushpa… - Int J Recent Technol …, 2019 - researchgate.net
People today tend to make multiple transactions every day. It has been observed that
around 150 million transactions are being carried out every 24 hours. There are several …

Prediction of diabetes using hybridization based machine learning algorithm

RLN Boddeda, R Prasad, SS Amiripalli… - … on Smart Computing …, 2023 - ieeexplore.ieee.org
Diabetes is often referred to as a metabolic disease. It is a category of metabolic disorders
caused by a prolonged elevated amount of sugar in the blood. If diabetes can be predicted …

Systematic Study of Video Mining with Its Applications

MG Mendagudli, KG Kharade… - Recent Trends in …, 2021 - ebooks.iospress.nl
Effective methods for video indexing will be more valuable as digital video data continues to
grow. It has been years since we've seen this level of new multimedia research. The content …