Publications & Research
A collection of academic papers, articles, and conference proceedings focusing on Demography and Educational Planning.
New family of error-correcting codes based on genetic algorithms
Published: 2025 | IAES International Journal of Artificial Intelligence (IJ-AI)
Core Insight: This paper introduces a novel error-correcting code (ECC) construction and decoding approach utilizing genetic algorithms (GAs). Classical ECCs often struggle with efficiency in correcting multiple errors due to time-consuming matrix-based encoding and decoding processes. Our GA-based method optimizes generator vectors to maximize the minimum distance between codewords, enhancing error correction capabilities. Specifically,... Read more
Predicting Middle School Students\' Academic Orientation Using SOM and Machine Learning
Published: 2025 | Educational Process International Journal
Core Insight: Background/purpose. Middle school is a critical stage for shaping students' academic paths, but traditional orientation methods often fail to predict suitable trajectories, leading to mismatches that impede success. This study aims to develop a proactive, data-driven framework to forecast academic orientation for middle school students, enhancing tailored educational guidance. Materials/methods. The study utilized... Read more
Efficient Deep Learning for Radiographic Body Part Classification
Published: 2025 | International Journal of Online and Biomedical Engineering (iJOE)
Core Insight: The growing demand for automated classification of medical X-ray images has driven the development of efficient deep learning models. This study introduces YOLOv8n-cls, a lightweight and accurate solution for body part classification in radiographic images, achieving a top-1 accuracy of 99.4%, outperforming several state-of-the-art models. A dataset of 22,500 images spanning 11... Read more
Exploring the Impact of Student Orientation on Mathematics Learning Using Self-Organizing Maps: A Study with Middle School Students
Published: 2025 | Educational Process International Journal
Core Insight: Background/purpose. Mathematics education develops critical thinking and problem-solving skills, yet middle school students often face challenges, including didactical, epistemological, and ontogenic obstacles, that influence their academic orientation. This study investigates how Self-Organizing Maps (SOMs) can address these challenges by clustering students based on shared characteristics and designing targeted interventions. Materials/methods. A... Read more
Overview of Medical Image Segmentation Techniques through Artificial Intelligence and Computer Vision
Published: 2024 | International Journal of Computing and Digital Systems
Core Insight: Medical image segmentation is a crucial task in computer vision, playing a pivotal role in applications such as diagnostics, treatment planning, and medical research. The present study explores a wide range of methodologies employed in the field of medical research to achieve image segmentation. These techniques range from traditional approaches based on... Read more
Genetic Algorithm-Based Method for Discovering Involutory MDS Matrices
Published: 2023 | Computational and Mathematical Methods
Core Insight: In this paper, we present an innovative approach for the discovery of involutory maximum distance separable (MDS) matrices over finite fields mathematical equation, derived from MDS self-dual codes, by employing a technique based on genetic algorithms. The significance of involutory MDS matrices lies in their unique properties, making them valuable in various... Read more
Error-Correcting Codes and the Power of Machine Learning: Enhancing Data Reliability
Published: 2023 | 2023 14th International Conference on Intelligent Systems: Theories and Applications (SITA)
Core Insight: Error-correcting codes and machine learning algorithms are two fundamental pillars in ensuring the reliability and accuracy of data transmission and storage systems. Error-correcting codes have long been instrumental in detecting and correcting errors during data communication and retrieval, while machine learning techniques have emerged as powerful tools for data analysis and pattern... Read more
Genetic Algorithm-Based Approach for Discovering Involutory MDS Matrices
Published: 2023 | 2023 14th International Conference on Intelligent Systems: Theories and Applications (SITA)
Core Insight: In this paper, we present an innovative approach for the discovery of involutory Maximum Distance Separable (MDS) matrices over finite fields F2q , derived from MDS self-dual codes, by employing a technique based on genetic algorithms. The significance of involutory MDS matrices lies in their unique properties, making them valuable in various... Read more
COOPERATION OF TWO LOGISTIC REGRESSION MODELS FOR DECODING LINEAR BLOCK CODES
Published: 2023 | Journal of Theoretical and Applied Information Technology
Core Insight: Error-correcting codes (ECCs) play a vital role in protecting data against corruption in storage systems and random errors due to noise effects in communication channels. Communication protocols typically employ various techniques to detect and correct errors in transmitted messages. Syndrome-based decoding is one of the most widely used techniques for decoding algorithms.... Read more
Genetic Algorithm-Based Approach for Discovering Involutory MDS Matrices
Published: 2023 | Proceedings - SITA 2023: 2023 14th International Conference on Intelligent Systems: Theories and Applications
Core Insight: In this paper, we present an innovative approach for the discovery of involutory Maximum Distance Separable (MDS) matrices over finite fields F2q , derived from MDS self-dual codes, by employing a technique based on genetic algorithms. The significance of involutory MDS matrices lies in their unique properties, making them valuable in various... Read more
Reflective practice and self-reliance development among nursing students: What contribution to academic success?
Published: 2023 | Cakrawala Pendidikan
Core Insight: This study examines the importance of reflective practice (RP) in nursing education and its impact on the development of autonomy and academic success among nursing students. A validated questionnaire was distributed through the Google Forms platform to 200 nursing students from 21 Higher Institutes of Nursing Professions and Health Technologies (ISPITS) across... Read more
On the computation of the automorphisms group of low density parity check codes using genetic algorithm
Published: 2022 | Indonesian Journal of Electrical Engineering and Computer Science
Core Insight: The genetic algorithm (GA) is an adaptive metaheuristic search method based on the process of evolution and natural selection theory. It is an efficient algorithm used for solving the combinatorial optimization problems, e.g., travel salesman problem (TSP), linear ordering problem (LOP), and job-shop scheduling problem (JSP). The simple GA applied takes a... Read more
On the Computation of the Automorphisms Group of Some Optimal Codes Using Genetic Algorithm
Published: 2022 | Journal of Hunan University Natural Sciences
Core Insight: Many research papers in coding theory have recently focused on designing high-rate codes or improving codes that exist through a better understanding and then improving the coding and decoding algorithm. As a result, this paper aims to investigate the computation of the Automorphisms groups of some optimal codes (e.g., some linear circulant... Read more
Reflective practice and self-reliance development among nursing students
Published: 2022 | Research Square
Core Insight: The nursing student walks through a complex study system in a field full of challenges. He is called upon to embark on a three-year training program that should foster a better link between theory and practice and be part of a professionalization approach, thus ensuring the development of his autonomy. In such... Read more
Machine learning for decoding linear block codes: case of multi-class logistic regression model
Published: 2021 | Indonesian Journal of Electrical Engineering and Computer Science
Core Insight: Facing the challenge of enormous data sets variety, several machine learning-based algorithms for prediction (e.g, Support vector machine, multi layer perceptron and logistic regression) have been highly proposed and used over the last years in many fields. Error correcting codes (ECCs) are extensively used in practice to protect data against damaged data... Read more