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1by Chok, Yong Sheng“... recognition networks are built and executed on high-end and costly hardware. Second, the existing CNN mouth...”
Published 2022
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4by Norhaiza, Mohammad Othman“...: feature extraction using CNNs, developing a wood species recognition system, and evaluating CNN model...”
Published 2024
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5by Mohd Zaid, Aishah Nabila“... system is crucial for the breeding and farming industry. This project aims to study the CNN algorithm...”
Published 2024
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8by Al Radhi, Hanan Hasan Abdul-Razzaq“... in the Arab world after 2010-2011 by analyzing CNN and AJE's online news articles released in their websites...”
Published 2017
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9by Muhammad Imran, Mohd Ridzuan“.... In this project, different architectures of Convolutional Neural Network (CNN) models namely AlexNet, Residual...”
Published 2021
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10by Mazlan, Mahirah“...This project presents a study titled "Classification of Nutrient Deficiency in Lettuce using CNN...”
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11by A Kadir, Nur Syazwina“... to figure out the performance of the CNN model. The model produced a Mean Absolute Error (MAE) of 68 during...”
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13by Kamallul Ariffin, Faiznur“... Neural Networks (CNN). Convolutional Neural Networks (CNN) are a type of artificial neural network...”
Published 2024
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14by Mohd Safuan, Syadia Nabilah“... Network (CNN) structure which are Alexnet, Googlenet, Densenet, Mobilenet, Resnet and VGG. Next, the CNN...”
Published 2022
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15by Noor Azmi, Muhammad Ashraff“... methods, this research proposes a system utilizing Convolutional Neural Networks (CNN) for accurate...”
Published 2024
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16by Azahar, Nur Adriana Qaisara“..., with a flexible research approach directing the iterative development process. The CNN model, chosen...”
Published 2024
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17by Ghanami, Nur Farhain Humaira“... chickenpox and measles, limited skin lesion images, and lack of training examples, requiring CNN integration...”
Published 2024
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19by Amir, Syafiqah“... identification and correct diagnosis. Convolutional neural network (CNN), in particular, have demonstrated...”
Published 2023
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20by Rahmat, Mohd Taufik“.... This paper aims to evaluate the performance of chest X-ray image classification using Faster R-CNN...”
Published 2019
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