[HTML][HTML] Improving sentiment analysis of Arabic Tweets by One-way ANOVA

M Alassaf, AM Qamar - Journal of King Saud University-Computer and …, 2022 - Elsevier
Social media is an indispensable necessity for modern life. As a result, it is full of people's
opinions, emotions, ideas, and attitudes, whether positive or negative. This abundance of …

[HTML][HTML] A Digital Twin predictive maintenance framework of air handling units based on automatic fault detection and diagnostics

HH Hosamo, PR Svennevig, K Svidt, D Han… - Energy and …, 2022 - Elsevier
The building industry consumes the most energy globally, making it a priority in energy
efficiency initiatives. Heating, ventilation, and air conditioning (HVAC) systems create the …

[HTML][HTML] Automated image identification, detection and fruit counting of top-view pineapple crown using machine learning

RWN Syazwani, HM Asraf, MAMS Amin… - Alexandria Engineering …, 2022 - Elsevier
Automated fruit identification or recognition using image processing is a key element in
precision agriculture for performing object detection in large crop plots. Automation of fruit …

A survey of dimension reduction and classification methods for RNA-Seq data on malaria vector

MO Arowolo, MO Adebiyi, C Aremu, AA Adebiyi - Journal of Big Data, 2021 - Springer
Recently unique spans of genetic data are produced by researchers, there is a trend in
genetic exploration using machine learning integrated analysis and virtual combination of …

Classification of cancer microarray data using a two-step feature selection framework with moth-flame optimization and extreme learning machine

S Sucharita, B Sahu, T Swarnkar, SK Meher - Multimedia Tools and …, 2024 - Springer
Abstract Analysis of microarray gene expression data for the detection/classification of
cancer is one of the common approaches adopted worldwide. However, many genes …

Relevant gene selection using ANOVA-ant colony optimisation approach for malaria vector data classification

MO Arowolo, JB Awotunde, P Ayegba… - International …, 2022 - inderscienceonline.com
Recent progress in gene expression data research makes it possible to quantify and identify
several thousand genes' expressions simultaneously. For malaria infection and …

Feature selection techniques for microarray datasets: a comprehensive review, taxonomy, and future directions

K Balakrishnan, R Dhanalakshmi - Frontiers of Information Technology & …, 2022 - Springer
For optimal results, retrieving a relevant feature from a microarray dataset has become a hot
topic for researchers involved in the study of feature selection (FS) techniques. The aim of …

Metaheuristic firefly and C5. 0 algorithms based intrusion detection for critical infrastructures

AQ Adeyiola, YK Saheed, S Misra… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Wireless Sensor Networks (WSN) are groups of stand-alone gadgets that typically feature
one or more sensors (for example, light level, temperature), with relatively limited computing …

[PDF][PDF] A chi-square-SVM based pedagogical rule extraction method for microarray data analysis

MD Salawu, MO Arowolo, SO Abdulsalam… - International Journal of …, 2020 - academia.edu
Support Vector Machine (SVM) is currently an efficient classification technique due to its
ability to capture nonlinearities in diagnostic systems, but it does not reveal the knowledge …

VDSL2 technology network parameter feature selection methods using python

NB Ghazali, KN Ramli, FC Seman, K Isa… - AIP Conference …, 2023 - pubs.aip.org
Training machine learning model may involve a huge amount of data with a variety of
variables, be it numerical variable or categorical variable. Using all the variables in a dataset …