Pavement raveling inspection using a new image texture-based feature set and artificial intelligence

A Nasertork, S Ranjbar, M Rahai, FM Nejad - Advanced Engineering …, 2024 - Elsevier
Enhancing pavement distress inspection is crucial within a pavement management system.
Recognizing the advantages of automated pavement condition inspection, considerable …

Road surface classification based on LBP and GLCM features using kNN classifier

AA Fauzi, F Utaminingrum, F Ramdani - Bulletin of Electrical Engineering …, 2020 - beei.org
Abstract Autonomous Ground Vehicle (UGV) technology has shown a fast development this
past year and proven to be useful. The use of UGV technology is restricted on a particular …

[PDF][PDF] Web phishing classification using combined machine learning methods

BMP Waseso, NA Setiyanto - Journal of Computing …, 2023 - pdfs.semanticscholar.org
Phishing is a crime that uses social engineering techniques, both in deceptive statements
and technically, to steal consumers' personal identification data and financial account …

ROADS—Rover for Bituminous Pavement Distress Survey: An Unmanned Ground Vehicle (UGV) Prototype for Pavement Distress Evaluation

A Mei, E Zampetti, P Di Mascio, G Fontinovo, P Papa… - Sensors, 2022 - mdpi.com
Maintenance has a major impact on the financial plan of road managers. To ameliorate road
conditions and reduce safety constraints, distress evaluation methods should be efficient …

Participatory sensing based urban road condition classification using transfer learning

S Jana, AI Middya, S Roy - Mobile Networks and Applications, 2023 - Springer
Road surfaces can contain a lot of anomalies such as potholes. Understanding and
detecting such irregularities are a key towards building a safe road transport system and a …

Effects of flooding on pavement performance: a machine learning-based network-level assessment

M Shariatfar, YC Lee, K Choi, M Kim - Sustainable and Resilient …, 2022 - Taylor & Francis
Catastrophic flood and hurricane events cause enormous adversarial impacts on roadways
and their long-term performance. Despite the abundance of research attempting to …

The effect of feature selection on gray level co-occurrence matrix (GLCM) for the four breast cancer classifications

M Mawarni, F Utaminingrum… - Journal of Biomimetics …, 2022 - Trans Tech Publ
Breast cancer is ranked first as the most common cancer case affecting women in the world.
Early detection of breast cancer can increase the chances of survival in patients. The role of …

[PDF][PDF] Machine vision for the various road surface type classification based on texture feature

S Marianingsih, W Widodo, MSS Pieter… - Journal of Mechanical …, 2022 - academia.edu
The mechanized ability to specify the way surface type is a piece of key enlightenment for
autonomous transportation machine navigation like wheelchairs and smart cars. In the …

Monitoring road infrastructure from satellite images in Greater Maputo

A Burzacchi, M Landrò, S Vantini - Statistical Methods & Applications, 2024 - Springer
The information about pavement surface type is rarely available in road network databases
of developing countries although it represents a cornerstone of the design of efficient …

Investigating surface condition classification of flexible road pavement using data mining techniques

AT Olowosulu, JM Kaura, AA Murana… - International Journal of …, 2022 - Taylor & Francis
The lack of sufficient, accurate and time series dataset on road pavement surface condition
in most developing countries over time has posed a serious challenge to highway engineers …