22 hasil untuk "Rayner Alfred"

Multi-step CNN forecasting for COVID-19 multivariate time-series

Haviluddin Haviluddin; Rayner Alfred

IJAIN (International Journal of Advances in Intelligent Informatics), Vol. 9 No. 2 · 2023 · Inggris · DOAJ Scopus

The new coronavirus (COVID-19) has spread to over 200 countries, with over 36 million confirmed cases as of October 10, 2020. As a result, numerous machine learning models capable of forecasting the epidemic worldwide have been produced. This paper reviews and summarizes the most relevant machine…

Optimizing Tree-Based Contrast Subspace Mining Using Genetic Algorithm

Florence Sia; Rayner Alfred

International Journal of Computational Intelligence Systems, Vol. 15 No. 1 · 2022 · Inggris · DOAJ Scopus

Abstract Mining contrast subspace is a task of finding contrast subspace where a given query object is most similar to a target class but dissimilar to non-target class in a multidimensional data set. Recently, tree-based contrast subspace mining method has been introduced to find contrast subspace…

Tree-based mining contrast subspace

Florence Sia; Rayner Alfred

IJAIN (International Journal of Advances in Intelligent Informatics), Vol. 5 No. 2 · 2019 · Inggris · DOAJ Scopus

All existing mining contrast subspace methods employ density-based likelihood contrast scoring function to measure the likelihood of a query object to a target class against other class in a subspace. However, the density tends to decrease when the dimensionality of subspaces increases causes its…

The roles of machine learning methods in limiting the spread of deadly diseases: A systematic review

Rayner Alfred; Joe Henry Obit

Heliyon, Vol. 7 No. 6 · 2021 · Inggris · DOAJ Scopus

Machine learning (ML) methods can be leveraged to prevent the spread of deadly infectious disease outbreak (e.g., COVID-19). This can be done by applying machine learning methods in predicting and detecting the deadly infectious disease. Most reviews did not discuss about the machine learning…

Tree-Based Contrast Subspace Mining for Categorical Data

Florence Sia; Rayner Alfred; Yuto Lim

International Journal of Computational Intelligence Systems, Vol. 13 No. 1 · 2020 · Inggris · DOAJ Scopus

Mining contrast subspace has emerged to find subspaces where a particular queried object is most similar to the target class against the non-target class in a two-class data set. It is important to discover those subspaces, which are known as contrast subspaces, in many real-life applications…

ENSEMBLE META CLASSIFIER WITH SAMPLING AND FEATURE SELECTION FOR DATA WITH IMBALANCE MULTICLASS PROBLEM

Mohd Shamrie Sainin; Rayner Alfred; Faudziah Ahmad

Journal of ICT, Vol. 20 No. 2 · 2021 · Inggris · DOAJ Scopus

Ensemble learning by combining several single or another ensemble classifier is one of the procedures to solve the imbalance problem in multiclass data. However, this approach is still facing the question of how the ensemble methods obtain their higher performance. In this paper, the investigation…

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A COEVOLUTIONARY MULTIOBJECTIVE EVOLUTIONARY ALGORITHM FOR GAME ARTIFICIAL INTELLIGENCE

Tse Guan Tan; Jason Teo; Kim On Chin dkk.

Asia-Pacific Journal of Information Technology and Multimedia, Vol. 2 No. (2) · 2013 · Melayu · DOAJ Scopus

Recently, the growth of Artificial Intelligence (AI) has provided a set of effective techniques for designing computer-based controllers to perform various tasks autonomously in game area, specifically to produce intelligent optimal game controllers for playing video and computer games. This paper…

Scalable and Efficient Student Behavior Prediction using Parallelized Clustering and AHP-weighted KNN

Li Guozhang; Rayner Alfred; Rayner Pailus dkk.

Journal of ICT Research and Applications, Vol. 19 No. 2 · 2025 · Inggris · DOAJ Scopus

This study proposes a scalable and efficient approach for predicting student behaviour in large-scale educational environments. It introduces a parallelized hybrid model that combines Density-Based Optimized K-Means clustering, Analytic Hierarchy Process (AHP) feature weighting, and Hierarchical…

Network Traffic Time Series Performance Analysis Using Statistical Methods

Purnawansyah Purnawansyah; Haviluddin Haviluddin; Rayner Alfred dkk.

Knowledge Engineering and Data Science, Vol. 1 No. 1 · 2017 · Inggris · DOAJ

This paper presents an approach for a network traffic characterization by using statistical techniques. These techniques are obtained using the decomposition, winter’s exponential smoothing and autoregressive integrated moving average (ARIMA). In this paper, decomposition and winter’s exponential…

STATE-OF-THE-ART OF MACHINE LEARNING IN NEURO DEVELOPMENT DISORDER: A SYSTEMATIC REVIEW

Lilian Yen Wei Lee; Ag Asri Ag Ibrahim; Rayner Alfred

Jordanian Journal of Computers and Information Technology, Vol. 11 No. 1 · 2025 · Inggris · DOAJ Scopus

This paper presents a comprehensive literature review focusing on the utilization of machine learning (ML) and deep learning (DL) methods for predicting and detecting Neurodevelopmental Disorders (NDDs), such as Intellectual Disability (ID), Autism Spectrum Disorder (ASD), Attention Deficit…

Analyzing trends in the spatial-temporal visitation patterns of mainland Chinese tourists in Sabah, Malaysia based on Weibo social big data

Rayner Alfred; Zhu Chen; Oliver Valentine Eboy dkk.

Heliyon, Vol. 9 No. 5 · 2023 · Inggris · DOAJ Scopus

Conducting on-site surveys to assess tourists' spatial visitation patterns and preferences is both time and labor intensive. However, an assessment of regional visitation patterns based on social media data can be an important decision-making tool for tourism management. In this study, an…

Towards Paddy Rice Smart Farming: A Review on Big Data, Machine Learning, and Rice Production Tasks

Rayner Alfred; Joe Henry Obit; Christie Pei-Yee Chin dkk.

IEEE Access, Vol. 9 · 2021 · Inggris · DOAJ Scopus

Big Data (BD), Machine Learning (ML) and Internet of Things (IoT) are expected to have a large impact on Smart Farming and involve the whole supply chain, particularly for rice production. The increasing amount and variety of data captured and obtained by these emerging technologies in IoT offer…

THE EFFECT OF CELEBRITY ENDORSER ATTRIBUTES, ISSUE INVOLVEMENT AND PERCEIVED SOCIAL SUPPORT ON ATTITUDE TOWARDS ORGAN DONATION REGISTRATION

Stephen Laison Sondoh Jr; Sharifah Nurafizah Syed Annuar; Andreas Totu dkk.

Journal of Applied Structural Equation Modeling, Vol. 2 No. 2 · 2018 · Inggris · DOAJ Scopus

Handwriting Character Recognition using Vector Quantization Technique

Haviluddin Haviluddin; Rayner Alfred; Ni’mah Moham dkk.

Knowledge Engineering and Data Science, Vol. 2 No. 2 · 2019 · Inggris · DOAJ

This paper seeks to explore Learning Vector Quantization (LVQ) processing stage to recognize The Buginese Lontara script from Makassar as well as explaining its accuracy. The testing results of LVQ obtained an accuracy degree of 66.66 %. The most optimal variant of network architecture in the…

CELEBRITY ENDORSEMENTS IN ORGAN DONATION ADVERTISEMENTS: ALTRUISM AS A MODERATOR

Sharifah Nurafizah Syed Annuara; Stephen Laison Sondoh Jr; Andreas Totu dkk.

Journal of Applied Structural Equation Modeling, Vol. 2 No. 2 · 2018 · Inggris · DOAJ Scopus

Implementation of advanced techniques in production and manufacturing sectors through support vector machine algorithm with embedded system

Rayner Alfred; Narender Chinthamu; T. Jayanthy dkk.

Measurement: Sensors, Vol. 33 · 2024 · Inggris · DOAJ Scopus

Our study set out to explore the integration of digital twins into manufacturing and production sectors with the aim of enhancing sustainability and operational efficiency. Employing a structured methodology, we utilized advanced 3D modeling techniques to create virtual representations of physical…

Adaptive Neuro-Fuzzy Inference System for Waste Prediction

Haviluddin Haviluddin; Herman Santoso Pakpahan; Novianti Puspitasari dkk.

Knowledge Engineering and Data Science, Vol. 5 No. 2 · 2022 · Inggris · DOAJ

The volume of landfills that are increasingly piled up and not handled properly will have a negative impact, such as a decrease in public health. Therefore, predicting the volume of landfills with a high degree of accuracy is needed as a reference for government agencies and the community in making…

KeyCap3D: Keyword-Guided 3D Medical Image Captioning with Cross-Attention

Supriyanto Supriyanto; Muhammad Ibadurrahman Arrasyid Supriyanto; Haviluddin Haviluddin dkk.

MethodsX, Vol. 16 · 2026 · Inggris · DOAJ Scopus

This study presents a keyword-guided cross-attention framework for automated radiological report generation from 3D FLAIR MRI brain tumor images. The architecture integrates M3D-CLIP as the image encoder. Hierarchical keyword extraction is performed using fine-tuned KeyBERT and BioBERT semantic…

Optimized autoencoder deep learning for carbon stock estimation using multi source remote sensing data in tropical rainforests

John Khoo; Rayner Alfred; Kim On Chin dkk.

Discover Artificial Intelligence, Vol. 6 No. 1 · 2026 · Inggris · DOAJ Scopus

Abstract Accurate estimation of aboveground carbon stocks in tropical rainforests is fundamental for global climate change mitigation, sustainable forest management, and carbon accounting. Traditional field-based carbon assessment methods are often time-consuming, labour-intensive, and spatially…