Emergency and disaster management, preparedness, and planning (EDMPP) and the 'social': A scoping review

B Lillywhite, G Wolbring - Sustainability, 2022 - mdpi.com
The importance of emergency and disaster management, preparedness, and planning
(EDMPP) is ever increasing with COVID-19 being one recent EDMPP challenge. EDMPP is …

CoBERT: A Contextual BERT model for recommending employability profiles of information technology students in unstable developing countries

HN Mpia, LW Mburu, SN Mwendia - Engineering Applications of Artificial …, 2023 - Elsevier
Unemployment constitutes one of the major problems in developing countries, with factors
such as unavailable skills and the proliferation of unskilled workers being cited as main …

Blockchain-based event detection and trust verification using natural language processing and machine learning

Z Shahbazi, YC Byun - IEEE Access, 2021 - ieeexplore.ieee.org
Information sharing is one of the huge topics in social media platform regarding the daily
news related to events or disasters happens in nature or its human-made. The automatic …

From crisis to opportunity: advancements in emergency language services

X Guo, D Xiao, Y Guo - Humanities and Social Sciences …, 2024 - nature.com
Emergency language services play a critical role in emergency management and language
services, facilitating effective information transmission, timely life-saving efforts, accurate …

Designing multimodal interactive dashboard of disaster management systems

A AlAbdulaali, A Asif, S Khatoon, M Alshamari - Sensors, 2022 - mdpi.com
Disasters and crises are inevitable in this world. In the aftermath of a disaster, a society's
overall growth, resources, and economy are greatly affected as they cause damages from …

Predicting students performance using supervised machine learning based on imbalanced dataset and wrapper feature selection

S Alija, E Beqiri, AS Gaafar, AK Hamoud - Informatica, 2023 - informatica.si
For learning environments like schools and colleges, predicting the performance of students
is one of the most crucial topics since it aids in the creation of practical systems that, among …

[PDF][PDF] Deep Learning Based Cyber Event Detection from Open-Source Re-Emerging Social Data.

F Mohammad, S Al-Ahmadi… - Computers, Materials & …, 2023 - cdn.techscience.cn
Social media forums have emerged as the most popular form of communication in the
modern technology era, allowing people to discuss and express their opinions. This …

CEHA: A Dataset of Conflict Events in the Horn of Africa

R Bai, D Lu, S Ran, E Olson, H Lamba, A Cahill… - arXiv preprint arXiv …, 2024 - arxiv.org
Natural Language Processing (NLP) of news articles can play an important role in
understanding the dynamics and causes of violent conflict. Despite the availability of …

Automatic Classification of Eyewitness Messages for Disaster Events Using Linguistic Rules and ML/AI Approaches

S Haider, A Mahmood, S Khatoon, M Alshamari… - Applied Sciences, 2022 - mdpi.com
Emergency response systems require precise and accurate information about an incident to
respond accordingly. An eyewitness report is one of the sources of such information. The …

Predicting Violent Extremism with Machine Learning: A Scoping Review

MA Richardson - SN Computer Science, 2023 - Springer
The purpose of this scoping review is to highlight the machine learning tools used in
research to address and prevent violent extremism. To achieve this goal, the following …