Location reference recognition from texts: A survey and comparison

X Hu, Z Zhou, H Li, Y Hu, F Gu, J Kersten, H Fan… - ACM Computing …, 2023 - dl.acm.org
A vast amount of location information exists in unstructured texts, such as social media
posts, news stories, scientific articles, web pages, travel blogs, and historical archives …

Data-driven approaches for road safety: A comprehensive systematic literature review

A Sohail, MA Cheema, ME Ali, AN Toosi, HA Rakha - Safety science, 2023 - Elsevier
Road crashes cost over a million lives each year. Consequently, researchers and transport
engineers continue their efforts to improve road safety and minimize road crashes. With the …

[HTML][HTML] Twitter sentiment analysis towards covid-19 vaccines in the Philippines using naïve bayes

C Villavicencio, JJ Macrohon, XA Inbaraj, JH Jeng… - Information, 2021 - mdpi.com
A year into the COVID-19 pandemic and one of the longest recorded lockdowns in the world,
the Philippines received its first delivery of COVID-19 vaccines on 1 March 2021 through …

[HTML][HTML] Designing a network intrusion detection system based on machine learning for software defined networks

AO Alzahrani, MJF Alenazi - Future Internet, 2021 - mdpi.com
Software-defined Networking (SDN) has recently developed and been put forward as a
promising and encouraging solution for future internet architecture. Managed, the …

[Retracted] A Novel Text Mining Approach for Mental Health Prediction Using Bi‐LSTM and BERT Model

K Zeberga, M Attique, B Shah, F Ali… - Computational …, 2022 - Wiley Online Library
With the current advancement in the Internet, there has been a growing demand for building
intelligent and smart systems that can efficiently address the detection of health‐related …

Urdu sentiment analysis with deep learning methods

L Khan, A Amjad, N Ashraf, HT Chang… - IEEE access, 2021 - ieeexplore.ieee.org
Although over 169 million people in the world are familiar with the Urdu language and a
large quantity of Urdu data is being generated on different social websites daily, very few …

Predictive trajectory planning for autonomous vehicles at intersections using reinforcement learning

E Zhang, R Zhang, N Masoud - Transportation Research Part C: Emerging …, 2023 - Elsevier
In this work we put forward a predictive trajectory planning framework to help autonomous
vehicles plan future trajectories. We develop a partially observable Markov decision process …

What makes accidents severe! explainable analytics framework with parameter optimization

A Ahmed, K Topuz, M Moqbel, I Abdulrashid - European Journal of …, 2024 - Elsevier
Most analytics models are built on complex internal learning processes and calculations,
which might be unintuitive, opaque, and incomprehensible to humans. Analytics-based …

[HTML][HTML] SARIMA modelling approach for forecasting of traffic accidents

N Deretić, D Stanimirović, MA Awadh, N Vujanović… - Sustainability, 2022 - mdpi.com
To achieve greater sustainability of the traffic system, the trend of traffic accidents in road
traffic was analysed. Injuries from traffic accidents are among the leading factors in the …

Improving hate speech detection of Urdu tweets using sentiment analysis

MZ Ali, S Rauf, K Javed, S Hussain - IEEE Access, 2021 - ieeexplore.ieee.org
Sentiment Analysis is a technique that is being used abundantly nowadays for customer
reviews analysis, popularity analysis of electoral candidates, hate speech detection and …