[HTML][HTML] When 5G meets deep learning: a systematic review

GL Santos, PT Endo, D Sadok, J Kelner - Algorithms, 2020 - mdpi.com
This last decade, the amount of data exchanged on the Internet increased by over a
staggering factor of 100, and is expected to exceed well over the 500 exabytes by 2020. This …

[HTML][HTML] Machine learning techniques for robotic and autonomous inspection of mechanical systems and civil infrastructure

MO Macaulay, M Shafiee - Autonomous Intelligent Systems, 2022 - Springer
Abstract Machine learning and in particular deep learning techniques have demonstrated
the most efficacy in training, learning, analyzing, and modelling large complex structured …

[HTML][HTML] Research on a surface defect detection algorithm based on MobileNet-SSD

Y Li, H Huang, Q Xie, L Yao, Q Chen - Applied Sciences, 2018 - mdpi.com
This paper aims to achieve real-time and accurate detection of surface defects by using a
deep learning method. For this purpose, the Single Shot MultiBox Detector (SSD) network …

[PDF][PDF] Materials Today: Proceedings

NLM Kamal, Y Bas - 2019 - researchgate.net
abstract One of the major factors endeavors to preserve the lives of those traveling the
roadways all over the world is using well designed, strong, durable and safe roadways. The …

[HTML][HTML] Evaluation of deep learning algorithms for semantic segmentation of car parts

K Pasupa, P Kittiworapanya, N Hongngern… - Complex & Intelligent …, 2022 - Springer
Abstract Evaluation of car damages from an accident is one of the most important processes
in the car insurance business. Currently, it still needs a manual examination of every basic …

[HTML][HTML] Convolutional Neural Networks for vehicle damage detection

RE Van Ruitenbeek, S Bhulai - Machine Learning with Applications, 2022 - Elsevier
Vehicle damages are increasingly becoming a liability for shared mobility services. The
large number of handovers between drivers demands for an accurate and fast inspection …

Car damage detection and classification

PM Kyu, K Woraratpanya - … of the 11th international conference on …, 2020 - dl.acm.org
Nowadays, the proliferation of automobile industries is directly related to the increasing
number of car incidents. So, insurance companies are facing many simultaneous claims and …

Cardd: A new dataset for vision-based car damage detection

X Wang, W Li, Z Wu - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
Automatic car damage detection has attracted significant attention in the car insurance
business. However, due to the lack of high-quality and publicly available datasets, we can …

Vehicle damage severity estimation for insurance operations using in-the-wild mobile images

D Mallios, L Xiaofei, N McLaughlin… - IEEE …, 2023 - ieeexplore.ieee.org
Following a car accident, an insurance company must assess the level of damage to each
vehicle to decide on the compensation paid to the insurance customer. This assessment is …

[HTML][HTML] A deep-learning–based antifraud system for car-insurance claims

L Maiano, A Montuschi, M Caserio, E Ferri… - Expert Systems with …, 2023 - Elsevier
The annual cost of vehicle insurance fraud is estimated to exceed 40 billion dollars. This is
an enormous amount considering the number of new vehicles insured yearly. In terms of …