On circular traffic sign detection and recognition
Automatic traffic sign detection and recognition play crucial roles in several expert systems
such as driver assistance and autonomous driving systems. In this work, novel approaches …
such as driver assistance and autonomous driving systems. In this work, novel approaches …
Brain tumor detection from MRI images using multi-level wavelets
The death rate of humans due to the brain tumor was high some year before but due to the
early diagnosis of brain tumor, this rate is significantly decreased. Due to the accurate brain …
early diagnosis of brain tumor, this rate is significantly decreased. Due to the accurate brain …
Machine Learning-Based Species Classification Methods Using DART-TOF-MS Data for Five Coniferous Wood Species
G Park, YG Lee, YS Yoon, JY Ahn, JW Lee, YP Jang - Forests, 2022 - mdpi.com
Various problems worldwide are caused by illegal production and distribution of timber,
such as deception about timber species and origin and illegal logging. Numerous studies on …
such as deception about timber species and origin and illegal logging. Numerous studies on …
Searchable encryption approaches: attacks and challenges
Searchable encryption (SE) is a cryptographic technique that allows the users to perform
search over outsourced encrypted data in cloud servers while preserving the privacy of data …
search over outsourced encrypted data in cloud servers while preserving the privacy of data …
Deep learning–based traffic sign recognition for unmanned autonomous vehicles
D Zang, Z Wei, M Bao, J Cheng… - Proceedings of the …, 2018 - journals.sagepub.com
Being one of the key techniques for unmanned autonomous vehicle, traffic sign recognition
is applied to assist autopilot. Colors are very important clues to identify traffic signs; however …
is applied to assist autopilot. Colors are very important clues to identify traffic signs; however …
Intensity prediction of tropical cyclone using multilayer multi-block local binary pattern and tree-based classifiers over North Indian Ocean
C Kar, S Banerjee - Computers & Geosciences, 2021 - Elsevier
Local binary pattern (LBP) is an extensively used method in image analysis and pattern
recognition related works across various domains. In this paper, we explore cyclone cloud …
recognition related works across various domains. In this paper, we explore cyclone cloud …
Indonesian traffic sign detection and recognition using color and texture feature extraction and SVM classifier
This paper presents traffic sign detection and recognition which is necessary to be
developed to support several expert systems such as driver assistance and autonomous …
developed to support several expert systems such as driver assistance and autonomous …
Detection-by-tracking of traffic signs in videos
Continuously detecting traffic signs in a video sequence is necessary for autonomous or
assisted driving scenarios, since a vehicle needs the information from the signs to facilitate …
assisted driving scenarios, since a vehicle needs the information from the signs to facilitate …
Histogram of Oriented Gradients based reduced feature for traffic sign recognition
S Vashisth, S Saurav - 2018 International Conference on …, 2018 - ieeexplore.ieee.org
Vehicles equipped with automatic traffic sign recognition (TSR) capability has recently
attained a lot of attention among computer vision community. There has been a need for a …
attained a lot of attention among computer vision community. There has been a need for a …
Faster R-CNN for small traffic sign detection
Traffic sign detection is essential in autonomous driving. It is challenging especially when
large proportion of instance to be detected are in small size. Directly applying state-of-the-art …
large proportion of instance to be detected are in small size. Directly applying state-of-the-art …