[PDF][PDF] Hybrid machine learning approach for anomaly detection

LK Lok, VA Hameed, ME Rana - Indonesian Journal of Electrical …, 2022 - academia.edu
This research aims to improve anomaly detection performance by developing two variants of
hybrid models combining supervised and unsupervised machine learning techniques …

Crop Suitability Prediction Model for Malaysian Crop Diversification

EP Keong, ME Rana… - … Conference on Decision …, 2022 - ieeexplore.ieee.org
Crop diversity is one of the important perspectives to be observed in agriculture. The crop
diversity is significant for production stability as well as nutrition security. However, the crop …

Utilizing Machine Learning Approaches for Cardiovascular Disease Forecasting

K Seeboruth, LZ Wen, VA Hameed… - 2023 IEEE 21st …, 2023 - ieeexplore.ieee.org
Heart disease, often referred to as cardiovascular disease, encompasses various conditions
impacting the heart and has consistently been the top cause of death worldwide for many …

Traffic Signal Violation Detection Through Computer Vision

MYM Uvais, VA Hameed… - 2023 4th International …, 2023 - ieeexplore.ieee.org
This research offers an advanced computer vision-based traffic signal violation detection.
The suggested technology seeks to instantly detect and report traffic signal violations such …

PSO-SVM Based Algorithm for Customer Churn Prediction in the Banking Industry

RRAP Ponnusamy, ME Rana… - 2023 IEEE 6th …, 2023 - ieeexplore.ieee.org
Customer churn is a major concern for the banking industry and there are many methods
being investigated to predict whether a customer would potentially churn. To solve this …

Improved Traditional Fitness Model by Applying Big Data Analysis

ME Rana, L Yanyu, VA Hameed… - … on Developments in …, 2023 - ieeexplore.ieee.org
This study elaborated on the importance of fitness in the contemporary environment, put
forward the problems in traditional fitness, and conducted a series of discussions according …