Green University Archives - Page 15 of 31 - Pusat Penelitian, Pengabdian kepada Masyarakat dan Publikasi Internasional

CatBoost: Boosting with Categorical Feature Power

Introduction While algorithms like XGBoost and LightGBM revolutionized gradient boosting, they still require significant feature engineering, especia

Introduction Machine learning often requires models that balance accuracy, robustness, and generalization. While Decision Trees are easy to interpret

Introduction While Decision Trees are simple and interpretable, they often suffer from overfitting and instability. To overcome these limitations, ma

Introduction Decision Trees are among the most popular and intuitive machine learning models. They mimic the way humans make decisions by breaking pr

Introduction While Linear Regression is used for predicting continuous outcomes, many real-world problems involve categorical outcomes—such as whet

Introduction Linear Regression is one of the simplest yet most widely used machine learning models. Despite its simplicity, it forms the foundation o

Introduction Agriculture is one of the oldest human industries, yet it faces modern challenges such as labor shortages, climate change, and the need

Introduction The healthcare industry is undergoing a major transformation with the integration of robotics. Medical robotics refers to the use of rob

Introduction While industrial robots dominate factory floors, service robots are designed to assist humans directly in professional and personal sett

Introduction Traditional robots are usually built with rigid materials such as metal and hard plastics, designed for precision and strength. However,