Výsledky vyhledávání

Report

A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU

Autor: Shiri, Farhad Mortezapour, Perumal, Thinagaran, Mustapha, Norwati, Mohamed, Raihani

Deep learning (DL) has emerged as a powerful subset of machine learning (ML) and artificial intelligence (AI), outperforming traditional ML methods, especially in handling unstructured and large datasets. Its impact spans across various domains, incl

Externí odkaz: http://arxiv.org/abs/2305.17473

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Report

A Survey on Multi-Resident Activity Recognition in Smart Environments

Autor: Shiri, Farhad MortezaPour, Perumal, Thinagaran, Mustapha, Norwati, Mohamed, Raihani, Ahmadon, Mohd Anuaruddin Bin, Yamaguchi, Shingo

Human activity recognition (HAR) is a rapidly growing field that utilizes smart devices, sensors, and algorithms to automatically classify and identify the actions of individuals within a given environment. These systems have a wide range of applicat

Externí odkaz: http://arxiv.org/abs/2304.12304

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Akademický článek

Hybrid machine learning model based on feature decomposition and entropy optimization for higher accuracy flood forecasting

Autor: Nazli Mohd Khairudin, Norwati Mustapha, Teh Noranis Mohd Aris, Maslina Zolkepli

Publikováno v: IJAIN (International Journal of Advances in Intelligent Informatics), Vol 10, Iss 1, Pp 1-12 (2024)

The advancement of machine learning model has widely been adopted to provide flood forecast. However, the model must deal with the challenges to determine the most important features to be used in in flood forecast with high-dimensional non-linear ti

Externí odkaz: https://doaj.org/article/b4a85749ab964e9e817e950b8c2b42a9

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Akademický článek

Clustering Mixed-Type Data via Dirichlet Process Mixture Model with Cluster-Specific Covariance Matrices

Autor: Nurul Afiqah Burhanuddin, Kamarulzaman Ibrahim, Hani Syahida Zulkafli, Norwati Mustapha

Publikováno v: Symmetry, Vol 16, Iss 6, p 712 (2024)

Many studies have shown successful applications of the Dirichlet process mixture model (DPMM) for clustering continuous data. Beyond continuous data, in practice, one can expect to see different data types, including ordinal and nominal data. Existin

Externí odkaz: https://doaj.org/article/70020d391e1741b9804cfaadb1fd0729

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Akademický článek

Students’ perceptions of personality traits, presentation skills, and audience factors in their online presentations

Autor: Norwati Roslim, Vahid Nimehchisalem, Muhammad Hakimi Tew Abdullah, Nornadiah Mohd Razali

Publikováno v: Studies in English Language and Education, Vol 10, Iss 2, Pp 777-788 (2023)

This study aims to investigate undergraduates’ perspectives toward personality traits, presentation skills, and audience factors based on their experiences in online oral presentations as assessment tasks during English language classes. It also ex

Externí odkaz: https://doaj.org/article/fb5071214585484d8baf7e7bbb42acd0

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Akademický článek

An ecological transcriptome approach to capture the molecular and physiological mechanisms of mass flowering in Shorea curtisii

Autor: Ahmad Husaini Suhaimi, Masaki J. Kobayashi, Akiko Satake, Ching Ching Ng, Soon Leong Lee, Norwati Muhammad, Shinya Numata, Tatsuya Otani, Toshiaki Kondo, Naoki Tani, Suat Hui Yeoh

Publikováno v: PeerJ, Vol 11, p e16368 (2023)

Climatic factors have commonly been attributed as the trigger of general flowering, a unique community-level mass flowering phenomenon involving most dipterocarp species that forms the foundation of Southeast Asian tropical rainforests. This intrigui

Externí odkaz: https://doaj.org/article/bba00978475b4960ac818910d50f3414

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