A data science approach to football team player selection

P Rajesh, M Alam… - 2020 IEEE international …, 2020‏ - ieeexplore.ieee.org
FIFA (Fédération Internationale de Football Association) is world football (soccer) league
that is separate from Olympics. FIFA been largely instrumental for making soccer as the most …

A machine learning classification technique for predicting prostate cancer

M Alam, M Tahernezhadi, HK Vege… - … Conference on Electro …, 2020‏ - ieeexplore.ieee.org
This paper presents and validates various classification techniques on supervised machine
learning (ML) for predicting prostate cancer. A modified Logistic Regression (LR) classifier is …

An effective assessment of cluster tendency through sampling based multi-viewpoints visual method

KR Prasad, BE Reddy, M Mohammed - Journal of Ambient Intelligence …, 2021‏ - Springer
Social networks are the rich sources to people for sharing the knowledge on health-related
issues. Nowadays, Twitter is one of the great significant social platforms to the people for a …

Prediction of Lung Cancer using Data Mining Techniques

R Uma, P Ramkumar, JA Ruth… - … on Smart Electronics …, 2022‏ - ieeexplore.ieee.org
At present, most people suffer a tumor due to their habitual attitude and food habits. The
result of this disease is death, and every day the ratio of morbid and mortality is gradually …

A variable block range fractal method for image compression

GA Shaik, TB Reddy, BM Ismail… - International Journal of …, 2024‏ - inderscienceonline.com
This paper presents and implements a variable block range fractal (VBRF) method for image
compression on RGB images of different categories. The proposed technique shows …

Prediction of lung cancer using optimized RF algorithm

M Kavibharathi, J Sumitha - AIP Conference Proceedings, 2023‏ - pubs.aip.org
Lung disease is the most widely recognized malignant growth that kills many individuals
across the world. Numerous PC-helped calculations are utilized for the examination of this …

Real Time Data Science Decision Tree Approach to Approve Bank Loan from Lawyer's Perspective

P Rajesh, M Alam, M Tahernezhadi… - 2020 19th IEEE …, 2020‏ - ieeexplore.ieee.org
Information technology, Digital Services using API, Artificial Intelligence, Data Science,
Mobile banking, Automation spawn tremendous contribution in the direction of growing the …

A Real Time Stock tendency prognostication using Quantopian

P Rajesh, M Alam, M Tahernezhadi… - 2020 19th IEEE …, 2020‏ - ieeexplore.ieee.org
Stock trends prediction project is about designing a strategy that helps in predicting the stock
trends in real time. To achieve it, we have considered Quantopian, one of the world's leading …

Multi-viewpoints visual models for efficient modeling and analysis of Twitter based health-care services

N Renigunta Mohammed… - International Journal of …, 2022‏ - emerald.com
Purpose The purpose of this study for eHealth text mining domains, cosine-based visual
methods (VM) assess the clusters more accurately than Euclidean; which are recommended …

A Novel Cosine-based Internal and External Validation metrics to assess twitter Data Clustering using Hybrid Topic Models

RM Noorullah, M Mohammed - IOP Conference Series: Materials …, 2020‏ - iopscience.iop.org
In document clustering labeled and unlabeled documents are organized into a desired
number of coherent and meaningful sub-clusters. Topic models are useful in extracting …