Sažetak Data used in big data applications are typically kept in decentralized computing
resources in the real world, which has an impact on the design of artificial intelligence …

Air pollution due to the growth of industry and motorized vehicles seriously threatens human
health. Clean air is essential, but pollutant contamination can cause acute respiratory …

Given the circumstances the healthcare system, the Internet of Things (IoT) is crucial. IoT
gadgets offer patient data for the framework of healthcare monitoring. IoT is a key …

Classification performance depends highly on data distribution. In real life, data often come
imbalanced where one class is found more often than others. SMOTE-based algorithms are …

In many applications where classification is needed, class imbalance poses a serious
problem. Class imbalance refers to having very few instances under one or more classes …

The classification problem is one instance of a problem that is typically handled or resolved
using machine learning. When there is an imbalance in the classes within the data, machine …

Triple Exponential Smoothing is a prediction algorithm that considers time series data
pattern and trends. The algorithm performance is getting better inline with the data volume …

Lung disease pose a significant global health challenge, with their prevalence and impact
on public well-being necessitating advanced diagnostic methods for timely and accurate …

The deadliest disease and a major cause of the mortality worldwide is heart disease. In
medical scope, Machine Learning (ML) is becoming increasingly important. In this work, the …

Lung cancer is one of the most common types of cancer, which is the main cause of death in
humans. In order to be cured, cancer must be diagnosed at an early stage. Lung cancer …