Driver fatigue detection systems using multi-sensors, smartphone, and cloud-based computing platforms: a comparative analysis
Q Abbas, A Alsheddy - Sensors, 2020 - mdpi.com
Internet of things (IoT) cloud-based applications deliver advanced solutions for smart cities
to decrease traffic accidents caused by driver fatigue while driving on the road …
to decrease traffic accidents caused by driver fatigue while driving on the road …
A comprehensive review of recent advances on deep vision systems
Real-time video objects detection, tracking, and recognition are challenging issues due to
the real-time processing requirements of the machine learning algorithms. In recent years …
the real-time processing requirements of the machine learning algorithms. In recent years …
Video scene analysis: an overview and challenges on deep learning algorithms
Video scene analysis is a recent research topic due to its vital importance in many
applications such as real-time vehicle activity tracking, pedestrian detection, surveillance …
applications such as real-time vehicle activity tracking, pedestrian detection, surveillance …
Intelligent image segmentation for organic-rich shales using random forest, wavelet transform, and hessian matrix
Scanning electron microscope (SEM) image can capture the distribution, topology, and
morphology of microstructural constituents of geological materials. Segmentation of SEM …
morphology of microstructural constituents of geological materials. Segmentation of SEM …
MAT: A multi-strength adversarial training method to mitigate adversarial attacks
Some recent work revealed that deep neural networks (DNNs) are vulnerable to so-called
adversarial attacks where input examples are intentionally perturbed to fool DNNs. In this …
adversarial attacks where input examples are intentionally perturbed to fool DNNs. In this …
Equirectangular image data detection, segmentation and classification of varying sized traffic signs: a comparison of deep learning methods
There are known limitations in mobile omnidirectional camera systems with an
equirectangular projection in the wild, such as momentum-caused object distortion within …
equirectangular projection in the wild, such as momentum-caused object distortion within …
Silkworm Growth Monitoring in Second Stage-Instar-Using Artificial Vision Techniques
LJ Suárez, YP López, WF Rivera… - Advances in Information …, 2019 - Springer
Abstract In the Department of Cauca (Colombia), there is evidence of low efficiency in the
process of generating silk cocoons by small and medium producers due to the manual …
process of generating silk cocoons by small and medium producers due to the manual …
An Image Semantic Segmentation Method with Improved Network Structure
J Shi, Q Xu - 2023 IEEE 6th Information Technology …, 2023 - ieeexplore.ieee.org
Image classification, object detection and image semantic segmentation are three core
research topics in computer vision. Among them, image semantic segmentation is the most …
research topics in computer vision. Among them, image semantic segmentation is the most …
Robustness Analysis and Improvement in Neural Networks and Neuromorphic Computing
C Song - 2021 - search.proquest.com
Deep learning and neural networks have great potential while still at risk. The so-called
adversarial attacks, which apply small perturbations on input samples to fool models …
adversarial attacks, which apply small perturbations on input samples to fool models …
[PDF][PDF] Qaisar Abbas, Mostafa EA Ibrahim &
MA Jaffar - researchgate.net
Real-time video objects detection, tracking, and recognition are challenging issues due to
the real-time processing requirements of the machine learning algorithms. In recent years …
the real-time processing requirements of the machine learning algorithms. In recent years …