An enhanced hybrid feature selection technique using term frequency-inverse document frequency and support vector machine-recursive feature elimination for …
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 …
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
This study presents the proposed testbed implementation for the Advanced Technology
Training Center (ADTEC) Batu Pahat, one of Malaysia's industrial training institutes. The …
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 …
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 …
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
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 …
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
Abstract Word Sense Disambiguation (WSD) is a key step for many natural language
processing tasks such as information search, automatic translation, and sentiment analysis …
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 …
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 …
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 …
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
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 …
extraction is still a challenging issue in the current research area. Keyphrases are very …