Due to sharp increases in data dimensions, working on every data mining or machine
learning (ML) task requires more efficient techniques to get the desired results. Therefore, in …

Mangrove forests, as important ecological and economic resources, have suffered a loss in
the area due to natural and human activities. Monitoring the distribution of and obtaining …

Semiconductors are essential components in many electronic devices. Because wafers are
produced quickly and in large quantities, defects occur that adversely affect semiconductor …

Data mining is known as the process of detection concerning patterns from essential
amounts of data. As a process of knowledge discovery. Classification is a data analysis that …

Unmanned aerial vehicle (UAV) hyperspectral remote sensing technology has developed
rapidly in recent years, providing a new scheme for intelligent monitoring of forest resources …

Current Harumanis mango farming technique in Malaysia still mostly depends on the
farmers' own expertise to monitor the crops from the attack of pests and insects. This …

Abstract Pixel Value Differencing (PVD) is one of the popular steganography methods and
continues to be developed today. This method works based on differences in pixel …

Mangroves play a substantial role in the global carbon cycle and are highly productive. To
evaluate the effectiveness of a remote-sensing image in mangrove-species classification …

Feature selection (FS), which reduces data dimensionality and enriches the performance of
any suggested framework, is one of the most crucial parts of machine learning (ML). In real …

Fault detection is the task of discovering patterns of a certain fault in industrial
manufacturing. Early detection of fault is an essential task in industrial manufacturing …