Deep learning for traffic sign recognition based on spatial pyramid pooling with scale analysis
In the area of traffic sign detection (TSD) methods, deep learning has been implemented
and achieves outstanding performance. The detection of a traffic sign, as it has a dual …
and achieves outstanding performance. The detection of a traffic sign, as it has a dual …
Application of breast cancer diagnosis based on a combination of convolutional neural networks, ridge regression and linear discriminant analysis using invasive …
Invasive ductal carcinoma cancer, which invades the breast tissues by destroying the milk
channels, is the most common type of breast cancer in women. Approximately, 80% of …
channels, is the most common type of breast cancer in women. Approximately, 80% of …
Classification of flower species by using features extracted from the intersection of feature selection methods in convolutional neural network models
It is important for the sensitivity of ecological balance that image processing methods and
techniques give better results day by day. Today, researchers use deep learning in image …
techniques give better results day by day. Today, researchers use deep learning in image …
[HTML][HTML] Recursive classification of satellite imaging time-series: An application to land cover mapping
Despite the extensive body of literature focused on remote sensing applications for land
cover mapping and the availability of high-resolution satellite imagery, methods for …
cover mapping and the availability of high-resolution satellite imagery, methods for …
Optimization Convolutional Neural Network for Classification Diabetic Retinopathy Severity
Computer-Aided Diabetic Retinopathy Screening makes it easier for doctors to provide a fast
and accurate diagnosis to save the vision of diabetes mellitus patients. Artificial intelligence …
and accurate diagnosis to save the vision of diabetes mellitus patients. Artificial intelligence …
Smart mobile application for public transport schedules–data organization and program realization
G Krastev, V Voinohovska - 2020 International Congress on …, 2020 - ieeexplore.ieee.org
Smart mobile application for public transport schedules – data organization and program
realization Page 1 978-1-7281-9352-6/20/$31.00 ©2020 IEEE Smart mobile application for …
realization Page 1 978-1-7281-9352-6/20/$31.00 ©2020 IEEE Smart mobile application for …
Deep Learning-Based Classification of Flowers Using FlowerNet Model
Achieving the rapid and accurate detection of flowers in the natural environment is not easy,
the study of floral classification systems is a crucial topic. However, there are still some …
the study of floral classification systems is a crucial topic. However, there are still some …
Smart mobile application for public transport Schedules-Logical Model
G Krastev, V Voinohovska - TEM Journal, 2020 - ceeol.com
Logical model of a portal for smart mobile application for public transport schedules on the
base of three classes Model/View/Controller (MVC) has been described in this article. This …
base of three classes Model/View/Controller (MVC) has been described in this article. This …
Revitalize Aizu-Wakamatsu city using technologies of disaster response robots
UA Manawadu, S Yao, Y Meijian, S Jie… - AIP Conference …, 2023 - pubs.aip.org
Both natural and human-caused disasters have a significant impact on human lives, the
economy, and the environment, requiring various activities that are challenging to …
economy, and the environment, requiring various activities that are challenging to …
The influence of social media on consumers buying behaviour: A casestudy of Instagram
OO Pelemo - 2022 - acikerisim.gelisim.edu.tr
This research sought to explore and discover the Influence of Social media on Consumer
Buying behavior, which is a determinant of customer retention. Instagram was the Case …
Buying behavior, which is a determinant of customer retention. Instagram was the Case …