An enhanced hybrid feature selection technique using term frequency-inverse document frequency and support vector machine-recursive feature elimination for …

NSM Nafis, S Awang - Ieee Access, 2021 - ieeexplore.ieee.org
Sentiment classification is increasingly used to automatically identify a positive or negative
sentiment in a text review. In classification, feature selection had always been a critical and …

Quality of service (Qos) management for local area network (LAN) using traffic policy technique to secure congestion

WMH Azamuddin, R Hassan, AHM Aman, MK Hasan… - Computers, 2020 - mdpi.com
This study presents the proposed testbed implementation for the Advanced Technology
Training Center (ADTEC) Batu Pahat, one of Malaysia's industrial training institutes. The …

The Bidirectional Association Between Metabolic Syndrome and Long-COVID-19

Y Liu, X Lou - Diabetes, Metabolic Syndrome and Obesity, 2024 - Taylor & Francis
Background The rapid global spread of a new coronavirus disease known as COVID-19 has
led to a significant increase in mortality rates, resulting in an unprecedented worldwide …

A Sequential Handwriting Recognition Model Based on a Dynamically Configurable CRNN

A Al-Saffar, S Awang, W Al-Saiagh, AS Al-Khaleefa… - Sensors, 2021 - mdpi.com
Handwriting recognition refers to recognizing a handwritten input that includes character (s)
or digit (s) based on an image. Because most applications of handwriting recognition in real …

[PDF][PDF] The evaluation of accuracy performance in an enhanced embedded feature selection for unstructured text classification

NSM Nafis, S Awang - Iraqi Journal of Science, 2020 - iasj.net
Text documents are unstructured and high dimensional. Effective feature selection is
required to select the most important and significant feature from the sparse feature space …

Discrete student psychology optimization algorithm for the word sense disambiguation problem

H Haouassi, A Bekhouche, H Rahab… - Arabian Journal for …, 2024 - Springer
Abstract Word Sense Disambiguation (WSD) is a key step for many natural language
processing tasks such as information search, automatic translation, and sentiment analysis …

DeepFake Videos Detection by Using Recurrent Neural Network (RNN)

AAM Albazony, HA Al-Wzwazy… - 2023 Al-Sadiq …, 2023 - ieeexplore.ieee.org
In the last few years, the increasing development of various tools to make fake videos from
real videos has been raised. Thus, several models/approaches have been constructed to …

Suspicious Activity Trigger System using YOLOv6 Convolutional Neural Network

S Awang, MQR Rokei… - … Conference on Artificial …, 2023 - ieeexplore.ieee.org
Property theft is one of the crimes that increases in which leads to a major concern in
Malaysia. Despite of having surveillance cameras (CCTV) everywhere, the crimes keep …

[PDF][PDF] Neural machine translation for Sanskrit to Malayalam using morphology and evolutionary word sense disambiguation

R Chingamtotattil, R Gopikakumari - Indonesian Journal of Electrical …, 2022 - academia.edu
Neural machine translation (NMT) is a fast-evolving MT paradigm and showed good results,
particularly in large training data circumstances, for several language pairs. In this paper, we …

Region-based distance analysis of keyphrases: A new unsupervised method for extracting keyphrases feature from articles

MBA Miah, S Awang, MS Azad - 2021 International Conference …, 2021 - ieeexplore.ieee.org
Due to the exponential growth of information's and web sources, Automatic keyphrase
extraction is still a challenging issue in the current research area. Keyphrases are very …