paper-with-me

홈 › Papers

A Survey of Real-Time Social-Based Traffic Detection

2020-07-07 · Hashim Abu-gellban

Online traffic news web sites do not always announce traffic events in areas in real-time. There is a capability to employ text mining and machine learning techniques on the twitter stream to perform event detection, in order to develop a real-time traffic detection system. In this present survey paper, we will deliberate the current state-of-art techniques in detecting traffic events in real-time focusing on five papers [1, 2, 3, 4, 5]. Lastly, applying text mining techniques and SVM classifiers in paper [2] gave the best results (i.e. 95.75% accuracy and 95.8% F1-score).

📄 PDF Abstract BibTeX arXiv:2007.04100

Code (0)

등록된 구현이 없습니다.

Tasks

BIG-bench Machine LearningEvent DetectionSurvey

Methods 이 논문이 사용한 방법론

SVM A Support Vector Machine, or SVM, is a non-parametric supervised learning model. For non-linear classification and regression, they utilise the kernel trick to map inputs…

Similar Papers 제목 키워드 기반

Adversarial Attacks on Traffic Sign Recognition: A Survey

2023-07-17 · Svetlana Pavlitska, Nico Lambing, J. Marius Zöllner

Traffic sign recognition is an essential component of perception in autonomous vehicles, which is currently performed almost exclusively with deep neural networks (DNNs). However, DNNs are known to be vulnerable to adver…

Adversarial AttackAutonomous VehiclesSurveyTraffic Sign Detection+1

Hybrid IDS Using Signature-Based and Anomaly-Based Detection

2026-01-17 · Messaouda Boutassetta, Amina Makhlouf, Newfel Messaoudi, Abdelmadjid Benmachiche 외 arxiv

Intrusion detection systems (IDS) are essential for protecting computer systems and networks against a wide range of cyber threats that continue to evolve over time. IDS are commonly categorized into two main types, each…

Intrusion Detection

Leveraging Personal Navigation Assistant Systems Using Automated Social Media Traffic Reporting

2020-04-21 · Xiangpeng Wan, Hakim Ghazzai, Yehia Massoud

Modern urbanization is demanding smarter technologies to improve a variety of applications in intelligent transportation systems to relieve the increasing amount of vehicular traffic congestion and incidents. Existing in…

Question Answering

SHM-Traffic: DRL and Transfer learning based UAV Control for Structural Health Monitoring of Bridges with Traffic

2024-02-22 · Divija Swetha Gadiraju, Saeed Eftekhar Azam, Deepak Khazanchi

This work focuses on using advanced techniques for structural health monitoring (SHM) for bridges with Traffic. We propose an approach using deep reinforcement learning (DRL)-based control for Unmanned Aerial Vehicle (UA…

Deep Reinforcement LearningEdge DetectionStructural Health MonitoringTransfer Learning

Generative AI and Federated Learning for Intrusion Detection Systems: A Survey

2026-07-01 · Jiefei Liu, Abu Saleh Md Tayeen, Pratyay Kumar, Qixu Gong 외 arxiv

Intrusion Detection Systems (IDSs) are essential for monitoring network traffic and identifying malicious activities in modern cyber-physical, Internet of Things (IoT), enterprise, and distributed network environments. H…

Intrusion DetectionFederated LearningData AugmentationAnomaly Detection