- Machine Learning Techniques to Visualize and Predict Terrorist ...🔍
- Automatic and objective gradation of 114 183 terrorist attacks using ...🔍
- Artificial intelligence approach for terror attacks prediction through ...🔍
- Predicting terrorist attacks in the United States using localized news ...🔍
- A hybrid deep learning|based framework for future terrorist activities ...🔍
- examining the factors that predict the likelihood🔍
- An Efficient Deep Learning Framework for Optimized Event ...🔍
- FP Growth Application for the Prediction of Terrorist Attacks🔍
Machine Learning Techniques to Visualize and Predict Terrorist ...
Machine Learning Techniques to Visualize and Predict Terrorist ...
The idea is to use AI techniques to visualize and predict possible terrorist attacks using classification models, the decision trees, and the Random Forest.
Machine Learning Techniques to Visualize and Predict Terrorist ...
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.
Machine Learning Techniques to Visualize and Predict Terrorist ...
Geographical Map of Terrorist Attack Prediction by Region using Decision Trees. (IJACSA) International Journal of Advanced Computer Science and ...
Automatic and objective gradation of 114 183 terrorist attacks using ...
This work collected 114 183 open‐source records of terrorist attacks and used a machine learning method to grade them synthetically in an automatic and ...
Artificial intelligence approach for terror attacks prediction through ...
The goal of this paper is to create a framework that allows users to visualize the various characteristics of terrorist attacks by extracting data from the ...
Predicting terrorist attacks in the United States using localized news ...
Terrorism is a major problem worldwide, causing thousands of fatalities and billions of dollars in damage every year. To address this threat, ...
A hybrid deep learning-based framework for future terrorist activities ...
In literature, various Artificial Intelligence (AI) based research works have been proposed and enhanced to counter and predict terrorist activities.
examining the factors that predict the likelihood - RUcore
An in-depth analysis of. Page 27. 15 the reasons behind the experienced region shift in terrorist attacks is beyond the scope of this thesis. 1.4 Strategies to ...
An Efficient Deep Learning Framework for Optimized Event ... - MDPI
Multiple studies have been centered around the artificial intelligence (AI) and machine learning (ML) approaches that are most widely used in practice to detect ...
FP Growth Application for the Prediction of Terrorist Attacks
Second, we illustrate the potential of the Global Terrorism Database (GTD) and FP Growth algorithm. Third, using GTD data, we develop an in-depth predictive ...
Decision Tree Ensemble Based Classification of Terrorist Attacks ...
Utilizing data from the Global Terrorism Database. (GTD), the study evaluates model effectiveness to aid decision- making for emergency responders and ...
Predicting terrorist attacks in the United States using localized news ...
We propose a novel feature representation method and evaluate machine learning models that learn from localized news data in order to predict whether a ...
Terrorism Attack Classification Using Machine Learning
The proposed framework outperforms the latest techniques for classifying terrorist attacks with an accuracy of 98.7% using a combined feature set and extreme ...
Machine Learning Approaches to Uncover Terrorism Network in India
Terrorism is a great threat prevailing in the society and has been around for centuries. Some terror strikes tend to resonate more than others, ...
MACHINE LEARNING TECHNIQUES FOR CLASSIFICATION AND ...
With the help of machine learning and deep learning algorithms the researchers can predict the future terrorist activities so that their impact can be reduced ...
Machine Learning Techniques to Visualize and Predict Terrorist ...
Machine Learning Techniques to Visualize and Predict Terrorist Attacks Worldwide using the Global Terrorism Database.
COUNTERING TERRORISM ONLINE WITH ARTIFICIAL ...
Additionally, given an established terrorist and violent extremist presence in South Asia and South-East Asia, law enforcement and counter-terrorism agencies in ...
Machine Learning and Statistical Analysis Techniques on Terrorism
This paper examines various terrorist factors using data mining from the historical data to predict the terrorist groups most likely to attack a nation.
Automatic and objective gradation of 114 183 terrorist attacks using ...
Abstract Catastrophic events cause casualties, damage property, and lead to huge social impacts. To build common standards and facilitate ...
Identifying Factors Associated with Terrorist Attack Locations by ...
(Online) DOI:10.1111/issj.12414. Identifying Factors Associated with Terrorist Attack Locations by. Data Mining and Machine Learning. Raj Bridgelall, Ph.