Výsledky vyhledávání - "Norhalina Senan"

Akademický článek

A systematic literature review on meta-heuristic based feature selection techniques for text classification

Autor: Sarah Abdulkarem Al-shalif, Norhalina Senan, Faisal Saeed, Wad Ghaban, Noraini Ibrahim, Muhammad Aamir, Wareesa Sharif

Publikováno v: PeerJ Computer Science, Vol 10, p e2084 (2024)

Feature selection (FS) is a critical step in many data science-based applications, especially in text classification, as it includes selecting relevant and important features from an original feature set. This process can improve learning accuracy, s

Externí odkaz: https://doaj.org/article/0595860f0afd4547b5bf427fade1f504

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Akademický článek

Alternative Relative Discrimination Criterion Feature Ranking Technique for Text Classification

Autor: Sarah Abdulkarem Alshalif, Norhalina Senan, Faisal Saeed, Wad Ghaban, Noraini Ibrahim, Muhammad Aamir, Wareesa Sharif

Publikováno v: IEEE Access, Vol 11, Pp 71739-71755 (2023)

The use of text data with high dimensionality affects classifier performance. Therefore, efficient feature selection (FS) is necessary to reduce dimensionality. In text classification challenges, FS algorithms based on a ranking approach are employed

Externí odkaz: https://doaj.org/article/3bc75b56ffaa4701a338e242b277d99f

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Akademický článek

Data Clustering for Identification of Building Conditions Using Hybrid Multivariate Multinominal Distribution Soft Set (MMDS) Method

Autor: Rohmat Saedudin, Iwan Tri Riyadi Yanto, Avon Budiono, Sely Novita Sari, Mustafa Mat Deris, Norhalina Senan

Publikováno v: JOIV: International Journal on Informatics Visualization, Vol 6, Iss 2, Pp 284-289 (2022)

Identifying building conditions for user safety is an urgent matter, especially in earthquake-prone areas. Clustering buildings according to their conditions in the categories of danger, vulnerable, normal, and safe is important information for resid

Externí odkaz: https://doaj.org/article/8824babfa191471d9fad533fcff62d84

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Akademický článek

Fast Clustering Environment Impact using Multi Soft Set Based on Multivariate Distribution

Autor: Iwan Tri Riyadi Yanto, Ani Apriani, Rahmat Hidayat, Mustafa Mat Deris, Norhalina Senan

Publikováno v: JOIV: International Journal on Informatics Visualization, Vol 5, Iss 3, Pp 291-297 (2021)

Every development activity is always related to human or community aspects. This can also lead to changes in the characteristics of the community. The community's increasing awareness and critical attitude need to be accommodated to avoid the emergen

Externí odkaz: https://doaj.org/article/8f6b9f2d584740e1a2f41b5eb489329c

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Akademický článek

THRESHOLDING AND QUANTIZATION ALGORITHMS FOR IMAGE COMPRESSION TECHNIQUES: A REVIEW

Autor: Saima Anwar Lashari, Rosziati Ibrahim, Nik Shahidah Afifi Md Taujuddin, Norhalina Senan, Suhaila Sari

Publikováno v: Asia-Pacific Journal of Information Technology and Multimedia, Vol 7, Iss 01, Pp 83-89 (2018)

With increasing demand on digital images, there is a need to compress the image to entertain the limited bandwidth and storage capacity. Recently, there is a growing interest among researchers focusing on compression of various types of images and da

Externí odkaz: https://doaj.org/article/b4c83843be6344638f827cc051a12b19

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Comparative Analysis of Recent Architecture of Convolutional Neural Network

Autor: Muhammad Asif Saleem, Norhalina Senan, Fazli Wahid, Muhammad Aamir, Ali Samad, Mukhtaj Khan

Publikováno v: Mathematical Problems in Engineering. 2022:1-9

Convolutiona neural network (CNN) is one of the best neural networks for classification, segmentation, natural language processing (NLP), and video processing. The CNN consists of multiple layers or structural parameters. The architecture of CNN can

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fedc7ab01dd810cba73b08a772107c1c
https://doi.org/10.1155/2022/7313612

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