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Statistical computing for forensic firearm pattern identification: Evaluating a fisher linear discriminant analysis-based algorithm against fixed-impulse noise
Published 2025“…Furthermore, this study aligns with the United Nations Sustainable Development Goals (SDGs), particularly SDG9 (Industry, Innovation, and Infrastructure), by fostering Artificial Intelligence (AI)-driven forensic advancements and SDG16 (Peace, Justice, and Strong Institution) by strengthening forensic accuracy in criminal investigations, ultimately contributing to national security and judicial efficiency.…”
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Genetic Algorithm for Forecasting Bioinformatic Outcomes of Mutation-induced Cowpeas for Sustainable Development
Published 2023“…The aim of this work is to address malnutrition, immune deficiency, hunger, and poverty as canvassed in United Nations Sustainable Development Goals 1 and 2 (SDGs 1 and 2). …”
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Pengesanan minutiae imej cap jari berskala kelabu menggunakan algoritma susuran batas
Published 2002“…Raw fingerprint images and filtered images (noise removal and enhancement) are tested to determine the efficiency of the algorithm developed. The improved algorithm has applied to 350 image samples obtained from National Institute of Standards and Technology (NIST). …”
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Development of Artificial Neural Network (ANN) for lightning prediction under Malaysia environment / Jeremy AK Stewart Bedimbap
Published 2009“…In the proposed method, a three layer back-propagation neural network with Levenberg Marquardt algorithm has been developed and predicts the output data for the next four hours. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Development of Artificial Neural Network for lightning prediction under Malaysia environment: article / Jeremy AK Stewart Bedimbap
Published 2009“…In the proposed method, a three layer back-propagation neural network with Levenberg Marquardt algorithm has been developed and predict the output data for four hours in advanced. …”
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Classification of cervical cancer using random forest
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Determining malaria risk factors in Abuja, Nigeria using various statistical approaches
Published 2018“…Studies have identified many driving factors of malaria prevalence; however, there are still missing links as malaria remains endemic in developing nations despite various interventions instituted against it especially in Sub-Saharan Africa (SSA). …”
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Development and validation of a problem-solving instrument (multiple-choice questions) for computational thinking among trainee teachers in the Klang Valley, Malaysia
Published 2024“…Malaysia has recognized this need by embedding CT into its national curriculum, emphasizing key components such as abstraction, decomposition, pattern recognition, algorithms, logical reasoning, and evaluation. …”
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Classification of compressive strength grades for lightweight aggregate concrete with palm oil fuel ash (POFA) using k-Nearest Neighbour (k-NN)
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Spatial analysis of infant mortality in Peninsular Malaysia over three decades using mixture models
Published 2013“…Infant mortality is one of the central public issues in most of the developing countries. In Malaysia, the infant mortality rates have improved at the national level over the last few decades. …”
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Digital Surface Model (DSM) Construction and Flood Hazard Simulation for Development Plans in Naga City, Philippines
Published 2007“…Furthermore the pattern of the changes in flood behaviour depends on the location from the main developments. …”
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Exploring students' performance in mathematics in Portugal using data analytics techniques: a data science use-case
Published 2024“…The practical application of this research lies in developing predictive models that inform data- driven decisions by educators and policymakers. …”
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Short-term Gini coefficient estimation using nonlinear autoregressive multilayer perceptron model
Published 2024“…Poverty, an intricate global challenge influenced by economic, political, and social elements, is characterized by a deficiency in crucial resources, necessitating collective efforts towards its mitigation as embodied in the United Nations' Sustainable Development Goals. The Gini coefficient is a statistical instrument used by nations to measure income inequality, economic status, and social disparity, as escalated income inequality often parallels high poverty rates. …”
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