Optimization in chemical engineering often involves two or more objectives, which are
conflicting. Multiobjective optimization (MOO) generates a set of equally good solutions from …

The k NN (k-nearest neighbors) classification algorithm is one of the most widely used non-
parametric classification methods, however it is limited due to memory consumption related …

Landslides pose a significant threat to human life and infrastructure, underscoring the
ongoing need for accurate landslide susceptibility map** (LSM) to effectively assess risks …

Stress is one of the biggest realities in our modern lives because of the rapid variations in
human lives and it induces depression. Depression is an illness characterized by anxiety …

Due to advances in Internet technology, credit card transactions are increasing faster than
ever before. This has led to a fraud problem that affects businesses, cooperating institutions …

Predicting students' academic performance can help the institution to take timely action,
such as planning intervention measures to improve students' academic achievement. This …

Trusting an algorithmic decision is much easier if it is understood how it was achieved.
Therefore, data mining algorithms with explainable abilities are preferred over complex …

We propose a multi-objective optimization-based Machine Learning method, called Multi-
Objective Evolutionary Hybrid Classification Algorithm (MOEHCA), for binary classification …

Human behaviour analysis has introduced several challenges in various fields, such as
applied information theory, affective computing, robotics, biometrics and pattern recognition …

Meramal prestasi akademik pelajar boleh membantu sesebuah institusi mengambil
tindakan tepat pada masanya seperti merancang langkah yang sesuai untuk meningkatkan …