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1
Image clustering comparison of two color segmentation techniques
Published 2010“…Finally, the algorithm found, which would solve the image segmentation problem.…”
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Thesis -
2
Automatic Number Plate Recognition on android platform: With some Java code excerpts
Published 2016“…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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3
Algorithm as a problem solving technique for teaching and learning of the Malay language
Published 2019“…They remain focused throughout the session which shows that the use of algorithms and scratch programs is better than conventional methods in teaching the Malay Language.…”
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4
Algorithm As A Problem Solving Technique For Teaching And Learning Of The Malay Language
Published 2019“…Students are also excited about the algorithmic techniques and the scratch program generated. …”
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5
Algorithm as a problem solving technique for teaching and learning of the Malay language
Published 2019“…Students are also excited about the algorithmic techniques and the scratch program generated. …”
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6
Development of seven segment display recognition using TensorFlow on Raspberry Pi
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7
Genetic programming based machine learning in classifying public-private partnerships investor intention / Ahmad Amin ... [et al.]
Published 2023“…The PPP data was analyzed in this study using two machine learning approaches, Genetic Programming and conventional machine learning, with testing results showing that all machine learning algorithms from both approaches achieved high accuracy rates of over 80%, with the Genetic Programming machine learning outperformed the conventional approach. …”
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8
Algorithm-program visualization model : An intergrated software visualzation to support novices' programming comprehension
Published 2015“…The programming performances from the treatment and control group are compared to analyze the effect of using the proposed tool in learning programming. …”
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9
Hybrid Ant Colony Optimization For Two Satisfiability Programming In Hopfield Neural Network
Published 2019“…Learning in HNN will be inspired by Wan Abdullah method since the conventional Hebbian learning is inefficient when dealing with large number of constraints. …”
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10
Enhancing programming language learning with 3D game-based programming for MSU students: codadventure / Abdullah Adib Aditia Wirawan and Nur Suhana Mohd Redzo
Published 2024“…The students face challenges while learning programming languages and memorizing programming concepts. …”
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11
Impact learning: A learning method from feature's impact and competition
Published 2023“…We, moreover, manifest the prevalence of impact learning over the conventional machine learning algorithm.…”
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12
Impact learning : A learning method from feature’s impact and competition
Published 2023“…We, moreover, manifest the prevalence of impact learning over the conventional machine learning algorithm.…”
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13
Impact learning: A learning method from feature’s impact and competition
Published 2023“…We, moreover, manifest the prevalence of impact learning over the conventional machine learning algorithm.…”
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14
Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process
Published 2004“…Artificial Neural Network (ANN) was selected from Machine Learning Algorithms to be the learning algorithm. …”
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15
Speed control of separately excited dc motor using artificial intelligent approach
Published 2013“…A neural network controller with learning technique based on back propagation algorithm is developed. …”
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16
Potential of soft computing approach for evaluating the factors affecting the capacity of steel–concrete composite beam
Published 2018“…In comparison to the other widely used conventional learning algorithms, the ELM has a much faster learning ability.…”
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17
Experimental implementation controlled SPWM inverter based harmony search algorithm
Published 2023Article -
18
Machine Learning in Sports: Identifying Potential Archers
Published 2019“…This brief highlights the association of different performance variables that influences archery performance and the employment of different machine learning algorithms in the identification of potential archers. …”
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19
A protocol for developing a classification system of mosquitoes using transfer learning
Published 2022“…Transfer learning is a type of machine learning that is viable and durable in image classification with limited training images. …”
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20
A Stepper Motor Design Optimization Using
Published 2005“…There is a need to fill this void in the area of small-motor design, and develop a program using Genetic Algorithms (GAs) as an approach to achieve optimization. …”
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