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Your search keyword '"Nawi, Nazri Mohd"' showing total 10 results
Start Over Author "Nawi, Nazri Mohd" Topic deep learning
10 results on '"Nawi, Nazri Mohd"'

1. Lungs Cancer Nodules Detection from CT Scan Images with Convolutional Neural Networks

Author

Rehman, Muhammad Zubair, Nawi, Nazri Mohd, Tanveer, Aisha, Zafar, Hassan, Munir, Hamza, Hassan, Sher, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Ghazali, Rozaida, editor, Nawi, Nazri Mohd, editor, Deris, Mustafa Mat, editor, and Abawajy, Jemal H., editor

Published
2020
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2. A Comprehensive Convolutional Neural Network Survey to Detect Glaucoma Disease.

Author

Zafar, Afia, Aamir, Muhammad, Nawi, Nazri Mohd, Ali, Sikandar, Husnain, Mujtaba, and Samad, Ali

Subjects
DEEP learning, CONVOLUTIONAL neural networks, GLAUCOMA, OPTICAL coherence tomography, MACHINE learning, COMPUTER engineering, INTRAOCULAR pressure, FUNDUS oculi
Abstract

Due to recent advances in computer technology and the accessibility of large datasets, deep learning has become at the forefront of artificial intelligence and on various tasks, especially those related to image classification and modelling, its performance is often equal to or even better than human appreciation. Ophthalmology has always been in an ideal position to employ one of CNN's most popular deep learning algorithms to evaluate vast volumes of data from these tests since it is one of the health practices that focuses extensively on imaging. Glaucoma is one among the situations in which CNN can benefit from the enormous quantity of data collected by tests that assess the anatomy as well as function of the optic nerve and macula. We discussed the recommended use of CNN algorithm for specific glaucoma scenarios, such as fundus photography screening and diagnosis and detection of the course of glaucoma through OCT imaging modality. The purpose of this article is not only to critically examine and discuss the latest applications of CNN models in glaucoma but also to focus on the challenges associated with developing such models for screening, diagnosis, and progress detection. After a brief overview of the clinical practices and their comparison with conventional clinical methods, we discussed training and validation of CNN algorithm and how it was developed and why it is particularly suitable for glaucoma. The following features make our contribution worthwhile and unique among the reviews of similar kind: (i) our review classifies the existing literature with respect to detection of the glaucoma disease using conventional and nonconventional approaches; (ii) it covers a very different outlook of the glaucoma disease by providing in-depth discussions of the existing works at different granularity levels, that is, from primary to mediatory to the severe level; (iii) this state-of-the-art review covers each article in the following dimensions: the computer-based approach to tomographic model; analysis of different datasets; and summarizing the literature review in a disciplined way by mentioning the research gap concluded with discussion on future work. [ABSTRACT FROM AUTHOR]

Published
2022
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3. Hybrid Contractive Auto-encoder with Restricted Boltzmann Machine For Multiclass Classification.

Author

Aamir, Muhammad, Nawi, Nazri Mohd, Wahid, Fazli, Zada, Muhammad Sadiq Hasan, Rehman, M. Z., and Zulqarnain, Muhammad

Subjects
*BOLTZMANN machine, *DEEP learning, *ARTIFICIAL neural networks, *MACHINE learning, *PROBLEM solving, *CLASSIFICATION
Abstract

Contractive auto-encoder (CAE) is a type of auto-encoders and a deep learning algorithm that is based on multilayer training approach. It is considered as one of the most powerful, efficient and robust classification techniques, more specifically feature reduction. The problem independence, easy implementation and intelligence of solving sophisticated problems make it distinct from other deep learning approaches. However, CAE fails in data dimensionality reduction that cause difficulty to capture the useful information within the features space. In order to resolve the issues of CAE, restricted Boltzmann machine (RBM) layers have been integrated with CAE to enhance the dimensionality reduction and a randomized factor for hidden layer parameters. The proposed model has been evaluated on four benchmark variant datasets of MNIST. The results have been compared with four well-known multiclass class classification approaches including standard CAE, RBM, AlexNet and artificial neural network. A considerable amount of improvement has been observed in the performance of proposed model as compared to other classification techniques. The proposed CAE–RBM showed an improvement of 2–4% on MNIST(basic), 9–12% for MNIST(rot), 7–12% for MNIST(bg-rand) and 7–10% for MNIST(bg-img) dataset in term of final accuracy. [ABSTRACT FROM AUTHOR]

Published
2021
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4. Robust Heart Disease Prognosis: Integrating Extended Isolation Forest Outlier Detection with Advanced Prediction Models

Author

Javid, Irfan, Hassan, Norlida, Ghazali, Rozaida, Hassim, Yana Mazwin Mohmad, Batool, Tuba, Husaini, Noor Aida, Jafri, Syed Irteza Hussain, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Ghazali, Rozaida, editor, Nawi, Nazri Mohd, editor, Deris, Mustafa Mat, editor, Abawajy, Jemal H., editor, and Arbaiy, Nureize, editor

Published
2024
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5. Spiking Neural Network for Microseismic Events Detection Using Distributed Acoustic Sensing Data

Author

Shahabudin, Mohd Safuwan Bin, Krishnan, Nor Farisha Binti Muhamad, Mausor, Farahida Hanim Binti, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Ghazali, Rozaida, editor, Nawi, Nazri Mohd, editor, Deris, Mustafa Mat, editor, Abawajy, Jemal H., editor, and Arbaiy, Nureize, editor

Published
2024
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6. eSNN for Spatio-Temporal fMRI Brain Pattern Recognition with a Graphical Object Recognition Case Study

Author

Murli, Norhanifah, Kasabov, Nikola, Paham, Nurul Amirah, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Ghazali, Rozaida, editor, Nawi, Nazri Mohd, editor, Deris, Mustafa Mat, editor, and Abawajy, Jemal H., editor

Published
2020
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7. Conditional Generative Adversarial Networks for Data Augmentation in Breast Cancer Classification

Author

Wong, Weng San, Amer, Mohammed, Maul, Tomas, Liao, Iman Yi, Ahmed, Amr, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Ghazali, Rozaida, editor, Nawi, Nazri Mohd, editor, Deris, Mustafa Mat, editor, and Abawajy, Jemal H., editor

Published
2020
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8. Residual Neural Network Vs Local Binary Convolutional Neural Networks for Bilingual Handwritten Digit Recognition

Author

Al-wajih, Ebrahim, Ghazali, Rozaida, Hassim, Yana Mazwin Mohmad, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Ghazali, Rozaida, editor, Nawi, Nazri Mohd, editor, Deris, Mustafa Mat, editor, and Abawajy, Jemal H., editor

Published
2020
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9. Impact of Hyperparameter Tuning on Deep Learning Based Estimation of Disease Severity in Grape Plant

Author

Verma, Shradha, Chug, Anuradha, Singh, Amit Prakash, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Ghazali, Rozaida, editor, Nawi, Nazri Mohd, editor, Deris, Mustafa Mat, editor, and Abawajy, Jemal H., editor

Published
2020
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10. Multi-layers Convolutional Neural Network for Twitter Sentiment Ordinal Scale Classification

Author

ALALI, Muath, Mohd Sharef, Nurfadhlina, Hamdan, Hazlina, Azmi Murad, Masrah Azrifah, Husin, Nor Azura, Kacprzyk, Janusz, Series editor, Pal, Nikhil R., Advisory editor, Bello Perez, Rafael, Advisory editor, Corchado, Emilio S., Advisory editor, Hagras, Hani, Advisory editor, Kóczy, László T., Advisory editor, Kreinovich, Vladik, Advisory editor, Lin, Chin-Teng, Advisory editor, Lu, Jie, Advisory editor, Melin, Patricia, Advisory editor, Nedjah, Nadia, Advisory editor, Nguyen, Ngoc Thanh, Advisory editor, Wang, Jun, Advisory editor, Ghazali, Rozaida, editor, Deris, Mustafa Mat, editor, Nawi, Nazri Mohd, editor, and Abawajy, Jemal H., editor

Published
2018
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