Zobrazeno 1 - 10
of 94
pro vyhledávání: '"Shahnorbanun Sahran"'
Autor:
Md. Mokhlesur Rahman, Ravie Chandren Muniyandi, Shahnorbanun Sahran, Opeyemi Lateef Usman, Md. Moniruzzaman
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract The timely identification of autism spectrum disorder (ASD) in children is imperative to prevent potential challenges as they grow. When sharing data related to autism for an accurate diagnosis, safeguarding its security and privacy is a par
Externí odkaz:
https://doaj.org/article/bfecf38711b841cb887481aef42aac81
Autor:
Noor Atika Azit, Shahnorbanun Sahran, Voon Meng Leow, Manisekar Subramaniam, Suryati Mokhtar, Azmawati Mohammed Nawi
Publikováno v:
Heliyon, Vol 8, Iss 10, Pp e10772- (2022)
Background: Hepatocellular carcinoma (HCC) among type-2 diabetes (T2D) patients is an increasing burden to diabetes management. This study aims to develop and select the best machine learning (ML) classification model for predicting HCC in T2D for HC
Externí odkaz:
https://doaj.org/article/8aa9dcd5a503468494785bef891b8bd6
Publikováno v:
Applied Sciences, Vol 13, Iss 5, p 3267 (2023)
In many academic fields, predicting student academic success using data mining techniques has long been a major research issue. Monitoring students in higher education institutions (HEIs) and having the ability to predict student performance is impor
Externí odkaz:
https://doaj.org/article/4fb0e90f538743fe92efbc72027f8338
Publikováno v:
Applied Sciences, Vol 13, Iss 3, p 1846 (2023)
The potential of leveraging micro-expression in various areas such as security, health care and education has intensified interests in this area. Unlike facial expression, micro-expression is subtle and occurs rapidly, making it imperceptible. Micro-
Externí odkaz:
https://doaj.org/article/a87f87d2e47d4266a0e67db8ff4c2af2
Publikováno v:
Applied Sciences, Vol 12, Iss 18, p 9389 (2022)
Adaptive gradient descent methods such as Adam, RMSprop, and AdaGrad achieve great success in training deep learning models. These methods adaptively change the learning rates, resulting in a faster convergence speed. Recent studies have shown their
Externí odkaz:
https://doaj.org/article/50d05d070bb9466984094521054bb953
Autor:
Noor Atika Azit, Shahnorbanun Sahran, Leow Voon Meng, Manisekar Subramaniam, Suryati Mokhtar, Azmawati Mohammed Nawi
Publikováno v:
PLoS ONE, Vol 16, Iss 12 (2021)
Type 2 diabetes mellitus (T2DM) is increasingly known as a risk factor of hepatocellular carcinoma (HCC). In this study, we determined the risk factors associated with HCC in T2DM patients. This was a matched case-control study conducted at two hepat
Externí odkaz:
https://doaj.org/article/9bea369b54c342259d38b7a4fa9f042e
Publikováno v:
Symmetry, Vol 13, Iss 10, p 1912 (2021)
Interrupting, altering, or stealing autism-related sensitive data by cyber attackers is a lucrative business which is increasing in prevalence on a daily basis. Enhancing the security and privacy of autism data while adhering to the symmetric encrypt
Externí odkaz:
https://doaj.org/article/de78198a639940eab0da3d5d0ab9a287
Autor:
Md. Mokhlesur Rahman, Opeyemi Lateef Usman, Ravie Chandren Muniyandi, Shahnorbanun Sahran, Suziyani Mohamed, Rogayah A Razak
Publikováno v:
Brain Sciences, Vol 10, Iss 12, p 949 (2020)
Autism Spectrum Disorder (ASD), according to DSM-5 in the American Psychiatric Association, is a neurodevelopmental disorder that includes deficits of social communication and social interaction with the presence of restricted and repetitive behavior
Externí odkaz:
https://doaj.org/article/5844a4360816467499fd27f872218e28
Autor:
IMAN SEYEDI, SOODABEH MIRZAZADEH, AREF MALEKIDARONKOLAEI, MURIATI MUKHTAR, SHAHNORBANUN SAHRAN
Publikováno v:
Journal of Engineering Science and Technology, Vol 11, Iss 3, Pp 416-430 (2016)
This paper investigates the effect of inflation and time value of money on an economic production quantity (EPQ) model in the single product system while the shortage of inventory is not allowed and production of defective parts during the production
Externí odkaz:
https://doaj.org/article/668568dd30c6467ab317981783a0d754
Publikováno v:
Journal of ICT (2018)
Automated classification of prostate histopathology images includes the identification of multiple classes, such as benign and cancerous (grades 3 & 4). To address the multiclass classification problem in prostate histopathology images, breakdown app
Externí odkaz:
https://doaj.org/article/eab494d7c55d40cfa83e9118b86d629a