Prediction of future terrorist activities using deep neural networks

MI Uddin, N Zada, F Aziz, Y Saeed, A Zeb… - …, 2020 - Wiley Online Library
One of the most important threats to today's civilization is terrorism. Terrorism not only
disturbs the law and order situations in a society but also affects the quality of lives of …

[PDF][PDF] Machine learning techniques to visualize and predict terrorist attacks worldwide using the global terrorism database

EL Huamaní, MA Alva… - … Journal of Advanced …, 2020 - pdfs.semanticscholar.org
Terrorist attacks affect the confidence and security of citizens; it is a violent form of a political
struggle that ends in the destruction of order. In the current decade, along with the growth of …

Terrorist Tweets Detection using Sentiment Analysis: Techniques and Approaches

HA Al-Shaibani, S Al-Augby - 2022 5th International …, 2022 - ieeexplore.ieee.org
Many people's company and social connections have changed as a result of online social
networking, the proliferation of these social media sites has ushered in a new age of …

Risk matrix for violent radicalization: a machine learning approach

K Ivaskevics, J Haller - Frontiers in psychology, 2022 - frontiersin.org
Hypothesis-driven approaches identified important characteristics that differentiate violent
from non-violent radicals. However, they produced a mosaic of explanations as they …

A Systematic Review of The Recent Geospatial Approach in Addressing Spatially-Related Radicalism And Extremism Issues

J Jamal, MFA Khanan, AHM Din, HA Umar… - International Journal of …, 2023 - ijbes.utm.my
This systematic review article focuses on the geospatial issues of radicalism and extremism.
The scholar has intensified the application of geospatial in radicalism and extremism study …

A New Model for Predicting and Dismantling a Complex Terrorist Network

B Collins, DT Hoang, NT Nguyen, D Hwang - IEEE Access, 2022 - ieeexplore.ieee.org
The perennial nature of terrorist attacks in recent times has ushered in a new wave of study
in the field of terrorism known as social network analysis (SNA). Terrorist groups operate as …

Artificial Intelligence and the Integration of the Industrial Revolution 6.0 in Ethnomusicology: Demands, Interventions and Implications

GS Morales, MLAC Perez, AC Tabuena - Musicologist, 2024 - dergipark.org.tr
This paper focuses on the integration of Artificial Intelligence (AI) and Industrial Revolution
6.0 in ethnomusicology, which is the study of music from diverse cultures. The challenges …

Identifying Reliable Recommenders in Users' Collaborating Filtering and Social Neighbourhoods

D Margaris, D Spiliotopoulos, C Vassilakis - Big Data and Social Media …, 2021 - Springer
Recommender systems increasingly use information sourced from social networks to
improve the quality of their recommendations. However, both recommender systems and …

[PDF][PDF] Journal of Computing, Science &Technology

RE Yoro, OA Ejaita, EO Peace - JCST, 2024 - researchgate.net
Mobility, ease of accessibility, and portability have continued to grant ease in the adoption
rise of smartphones; while, also proliferating the vulnerability of users that are often …

Applications for e-Government: global terrorism analysis

D Kapsis - 2024 - dione.lib.unipi.gr
Terrorism has a great impact to the society both in the people's lives and in the economy.
Many devastating terrorist attacks have occurred worldwide over the years causing …