Publications

Computer Security with Artificial Intelligence, Machine Learning, and Data Science Combination

Implementation of Data Mining Algorithm for Clustering of Palm Oil Harvested Data

Palm oil is one of the plantation commodities that has a strategic role in Indonesia's economic development. In this study, we will discuss oil palm yields at PPKS Marihat, one of the Oil Palm Research Center branches located in Simalungun Regency, Medan, Nort

Predicting Mandibular Bone Growth Using Artificial Intelligence and Machine Learning: A Systematic Review

Introduction The accurate prediction of mandibular bone growth is crucial in orthodontics and maxillofacial surgery, impacting treatment planning and patient outcomes. Traditional methods often fall short due to their reliance on linear models and clinician ex

Applications of Machine Learning and Artificial Intelligence in Intelligent Transportation System: A Review

Analysis of K-Means Algorithm for Clustering of Covid-19 Social Assistance Recipients

During the Covid-19 pandemic, the government provided assistance distributed through each sub-district throughout the province of Indonesia, one of which was the Pahlawan Village in the East Siantar District Pematangsiantar City. So far, the assistance provide

Navigating Technical Debt in the Evolving Landscape of Machine Learning and Artificial Intelligence

Role of Artificial Intelligence and Machine Learning for Climate Disaster Management and Earth Resource Management

Appendix B: Introduction to TF 2

CHALLENGES AND OPPORTUNITIES OF IMPLEMENTING ARTIFICIAL INTELLIGENCE(AI) AND MACHINE LEARNING IN NIGERIAN LIBRARIES

Machine Learning and Artificial Intelligence in Credit Scoring and Fraud Detection

Probabilistic Models

Leveraging Artificial Intelligence and Machine Learning to Profile Internet Users through Media Content

Artificial Intelligence-Driven Cybersecurity Framework for Enterprise Threat Detection: A Machine Learning Approach

The increasing complexity of cyber threats has exposed the limitations of traditional signature-based intrusion detection systems, creating a need for intelligent and adaptive cybersecurity solutions. This study proposes an artificial intelligence-driven cyber

Assessing Technology Readiness for Artificial Intelligence and Machine Learning based Innovations

Usage of Machine Learning Methods for Cause-Effect Graph Feasibility Prediction

Cause-effect graphs (CEGs) are usually applied for black-box testing of complex industrial systems. The specification process is time-consuming and can result in many errors. In this work, machine learning methods were applied for predicting the feasibility of

Artificial intelligence and machine learning: a perspective on integrated systems opportunities and challenges for multi-domain operations

Introduction into Artificial Intelligence and Machine Learning

Machine Learning and Artificial Intelligence

THE USE OF TECHNOLOGY IN STEM EDUCATION. AN EMPIRICAL RESEARCH

In Romania, the latest results in PISA as well as national exams show a decrease in the interest of students in studying sciences, whilst the results are much below the OECD average.The present study has been carried out at national level by a research team fr

A Learning model of STEM Education on cloud computing technology, to promote learning and innovation skills for students practicing teachers

Abstract The purpose of this research was to: 1) analyze and synthesize STEM Education learning and innovation skills model on cloud computing technology to promote learning and innovation skills for students practicing teachers. 2) To learning and innovation