Recent advancements in fruit detection and classification using deep learning techniques
CC Ukwuoma, Q Zhiguang… - Mathematical …, 2022 - Wiley Online Library
Recent advances in computer vision have allowed broad applications in every area of life,
and agriculture is not left out. For the agri‐food industry, the use of advanced technology is …
and agriculture is not left out. For the agri‐food industry, the use of advanced technology is …
State-of-the-art deep learning: Evolving machine intelligence toward tomorrow's intelligent network traffic control systems
Currently, the network traffic control systems are mainly composed of the Internet core and
wired/wireless heterogeneous backbone networks. Recently, these packet-switched …
wired/wireless heterogeneous backbone networks. Recently, these packet-switched …
Image based fruit category classification by 13-layer deep convolutional neural network and data augmentation
YD Zhang, Z Dong, X Chen, W Jia, S Du… - Multimedia Tools and …, 2019 - Springer
Fruit category identification is important in factories, supermarkets, and other fields. Current
computer vision systems used handcrafted features, and did not get good results. In this …
computer vision systems used handcrafted features, and did not get good results. In this …
Polarimetric synthetic aperture radar image segmentation by convolutional neural network using graphical processing units
SH Wang, J Sun, P Phillips, G Zhao… - Journal of Real-Time …, 2018 - Springer
Image segmentation is an important application of polarimetric synthetic aperture radar. This
study aimed to create an 11-layer deep convolutional neural network for this task. The Pauli …
study aimed to create an 11-layer deep convolutional neural network for this task. The Pauli …
Convolutional neural networks for 5G-enabled intelligent transportation system: A systematic review
Abstract Modern 5G-enabled Intelligent Transportation System (ITS) provides comfort and
safety to the end users by using various models and techniques most of which are based on …
safety to the end users by using various models and techniques most of which are based on …
An overview of traffic sign detection and classification methods
Y Saadna, A Behloul - International journal of multimedia information …, 2017 - Springer
Over the last few years, different traffic sign recognition systems were proposed. The present
paper introduces an overview of some recent and efficient methods in the traffic sign …
paper introduces an overview of some recent and efficient methods in the traffic sign …
Cybersecurity of autonomous vehicles: A systematic literature review of adversarial attacks and defense models
Autonomous driving (AD) has developed tremendously in parallel with the ongoing
development and improvement of deep learning (DL) technology. However, the uptake of …
development and improvement of deep learning (DL) technology. However, the uptake of …
Real-time traffic sign detection and recognition method based on simplified Gabor wavelets and CNNs
F Shao, X Wang, F Meng, T Rui, D Wang, J Tang - Sensors, 2018 - mdpi.com
Traffic sign detection and recognition plays an important role in expert systems, such as
traffic assistance driving systems and automatic driving systems. It instantly assists drivers or …
traffic assistance driving systems and automatic driving systems. It instantly assists drivers or …
Traffic prediction using multifaceted techniques: A survey
Road transportation is the largest and complex nonlinear entity of the traffic management
system. Accurate prediction of traffic-related information is necessary for an effective …
system. Accurate prediction of traffic-related information is necessary for an effective …
Two‐stage traffic sign detection and recognition based on SVM and convolutional neural networks
A Hechri, A Mtibaa - IET Image Processing, 2020 - Wiley Online Library
Nowadays, traffic sign recognition is the most important task of advanced driver assistance
systems since it improves the safety and comfort of drivers. However, it remains a …
systems since it improves the safety and comfort of drivers. However, it remains a …