A comparative analysis of information and artificial intelligence toward national security

MN Al-Suqri, M Gillani - IEEE Access, 2022 - ieeexplore.ieee.org
Information is inevitable when it comes to national security. The information revolution
seems to hold the massive potential to strengthen national security against current and …

Artificial intelligence, 21st century competences, and socio‐emotional learning in education: More than high‐risk?

I Tuomi - European Journal of Education, 2022 - Wiley Online Library
Over the last two decades, 21st century competences and socio‐emotional skills have
become a major focus in educational policy. In this article, skills for the 21st century, soft …

[HTML][HTML] Investigating the role of data preprocessing, hyperparameters tuning, and type of machine learning algorithm in the improvement of drowsy EEG signal …

F Farhangi - Intelligent Systems with Applications, 2022 - Elsevier
Driver drowsiness leads to fatal road traffic accidents. The effects of drowsy driving on
electroencephalogram (EEG) signal are well visible. Accordingly, classifying EEG signal …

Land use/land cover change analysis using multi-temporal remote sensing data: A case study of Tigris and Euphrates Rivers Basin

AI Al-Taei, AA Alesheikh, A Darvishi Boloorani - Land, 2023 - mdpi.com
Multi-temporal land use/land cover (LULC) change analysis is essential for environmental
planning and recourses management. Various global LULC datasets are available now …

Time-series hourly sea surface temperature prediction using deep neural network models

F Farhangi, A Sadeghi-Niaraki… - Journal of Marine …, 2023 - mdpi.com
Sea surface temperature (SST) is crucial in ocean research and marine activities. It makes
predicting SST of paramount importance. While SST is highly affected by different oceanic …

[HTML][HTML] Solving water scarcity challenges in arid regions: A novel approach employing human-based meta-heuristics and machine learning algorithm for groundwater …

SV Razavi-Termeh, A Sadeghi-Niaraki, F Farhangi… - Chemosphere, 2024 - Elsevier
Addressing water scarcity challenges in arid regions is a pressing concern and demands
innovative solutions for accurate groundwater potential mapping (GPM). This study presents …

Multi-label prediction-based fuzzy age difference analysis for social profiling of anonymous social media

JH Suh - Applied Sciences, 2024 - mdpi.com
Age is an essential piece of demographic information for social profiling, as different social
and behavioral characteristics are age-related. To acquire age information, most of the …

A machine learning model to predict privacy fatigued users from social media personalized advertisements

G Alwafi, B Fakieh - Scientific Reports, 2024 - nature.com
The increasing use of social media platforms as personalized advertising channels is a
double-edged sword. A high level of personalization on these platforms increases users' …

Navigating pathways to automated personality prediction: a comparative study of small and medium language models

F Habib, Z Ali, A Azam, K Kamran, FM Pasha - Frontiers in Big Data, 2024 - frontiersin.org
Introduction Recent advancements in Natural Language Processing (NLP) and widely
available social media data have made it possible to predict human personalities in various …

Associations between the Avatar Characteristics and Psychometric Test Results of VK Social Media Users

V Stoliarova, F Bushmelev, M Abramov - Mathematics, 2023 - mdpi.com
Online social media has an increasing influence on people's lives, providing tools for
communication and self–representation. People's digital traces are gaining attention as a …