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1
Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The process begins through the monitoring of plants using sensors connected to the Arduino device. Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. …”
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2
Pengesanan minutiae imej cap jari berskala kelabu menggunakan algoritma susuran batas
Published 2002“…A precise tangent value will contribute to a detection of true minutiae. …”
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3
Assessing the simulation performances of multiple model selection algorithm
Published 2015“…The capability of the algorithm in finding the true specification of multiple models is measured by the percentage of simulation outcomes.Overall results show that the algorithm has performed well for a model with two equations.The findings also indicated that the number of variables in the true models affect the algorithm performances. …”
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4
Design Of Robot Motion Planning Algorithm For Wall Following Robot
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5
Multiple Linear Regression Models For Estimating True Subsurface Resistivity From Apparent Resistivity Measurements
Published 2018“…Multiple linear regression (MLR) models for rapid estimation of true subsurface resistivity from apparent resistivity measurements are developed and assessed in this study. …”
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6
Human activity recognition via accelerometer and gyro sensors
Published 2023“…To implement the data engineering system proposed, two mobile applications, SensorData and SensorDataLogger with user-friendly interfaces and intuitive functionalities are developed using Java programming language and Android Studio. …”
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7
A Proposed False Report Identification Algorithm for a Mobile Application in the IoT Environment
Published 2024Proceedings Paper -
8
Mobile First-Person Shooter (FPS) Game Using Basic Theta* Algorithm / Muhammad Syurahbil Abd Rohaman
Published 2020“…The most common pathfinding algorithm used in video game is A*. Even though A* is the most popular algorithm amongst game developers, it's hardly the best algorithm in finding the true shortest path. …”
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9
Development of an intelligent information system for financial analysis depend on supervised machine learning algorithms
Published 2022“…© 2022…”
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10
Comparison Between Genetic Algorithm and Electromagnetism-Like Algorithm for Solving Inverse Kinematics
Published 2012“…A comparison study between Electromagnetism-Like Algorithm (EM) and Genetic Algorithm (GA)has been presented in this work to solve the Inverse Kinematics (IK) of a four-link planar robot manipulator. …”
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11
Development of symbolic algorithms for certain algebraic processes
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12
Development of symbolic algorithms for certain algebraic processes
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13
Prediction of football club winning rate using Bayesian model algorithm / Adam Khairul Anuar
Published 2023“…Objectives involve studying, developing, and evaluating the accuracy of a Bayesian model for predicting winning rates. …”
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14
Fake news detection: A machine learning approach
Published 2021“…The final model chosen to be deployed was a model trained using a Multinomial Naïve Bayes algorithm.…”
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15
Hybrid particle swarm optimization algorithm with fine tuning operators
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16
Natural image noise level estimation based on local statistics for blind noise reduction
Published 2018“…Most of the literature on the subject tends to use the true noise level of a noisy image when suppressing noise artifacts. …”
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17
An immune-genetic algorithm with tabu local search for network intrusion detection system / Hamizan Suhaimi
Published 2021“…The performance of the proposed method and other existing techniques (Genetic Algorithm, Artificial Immune System and Immune-Genetic Algorithm) were analysed to evaluate and determine its efficiency in terms of maximum intrusion detection rate and the highest true positive rate. …”
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18
Machine learning algorithms in context of intrusion detection
Published 2016“…Many machine learning techniques have been developed to cope with this problem. These machine learning algorithms develop a detection model in a training phase. …”
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19
Extended multiple models selection algorithms based on iterative feasible generalized least squares (IFGLS) and expectation-maximization (EM) algorithm
Published 2019“…Simulation and empirical studies are conducted in validating the performance of the two algorithms. In the simulation study, different sample sizes, strength of correlation among equations, size of general unrestricted model (GUMS), number of equations, significance levels and true specification models are incorporated by evaluating the percentages of finding the true GUMS. …”
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20
Breast cancer diagnosis through an optimization-driven multispectral gamma correction (ODMGC)
Published 2024“…This algorithm enhances the accuracy of true positives and true negatives while minimising false negatives and false positives. …”
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