Automated classification of remote sensing images using multileveled MobileNetV2 and DWT techniques
Automated classification of remote sensing images is one of the complex issues in robotics
and machine learning fields. Many models have been proposed for remote sensing image …
and machine learning fields. Many models have been proposed for remote sensing image …
Fast facial emotion recognition using convolutional neural networks and Gabor filters
The emotions evolved in human face have a great influence on decisions and arguments
about various subjects. In psychological theory, emotional states of a person can be …
about various subjects. In psychological theory, emotional states of a person can be …
A study on metaheuristic-based neural networks for image segmentation purposes
Image segmentation is one of the most important tasks of visual machine and image
processing that helps to recognize the pattern. Grouping of the pixels of an image helps to …
processing that helps to recognize the pattern. Grouping of the pixels of an image helps to …
Metaheuristic neural networks for anomaly recognition in industrial sensor networks with packet latency and jitter for smart infrastructures
Sensor networks are increasingly used in all aspects of the smart city infrastructures. The
stream of the data generated by sensor networks contains the information which can be …
stream of the data generated by sensor networks contains the information which can be …
Secure decentralized peer-to-peer training of deep neural networks based on distributed ledger technology
A Fadaeddini, B Majidi, M Eshghi - The Journal of Supercomputing, 2020 - Springer
The accuracy and performance of deep neural network models become important issues as
the applications of deep learning increase. For example, the navigation system of …
the applications of deep learning increase. For example, the navigation system of …
A case study of generative adversarial networks for procedural synthesis of original textures in video games
A Fadaeddini, B Majidi, M Eshghi - 2018 2nd National and 1st …, 2018 - ieeexplore.ieee.org
Procedural content generation is helping game developers to create significant quantity of
high quality dynamic content for video games at a fraction of cost of the traditional methods …
high quality dynamic content for video games at a fraction of cost of the traditional methods …
Partially covered face detection in presence of headscarf for surveillance applications
H Qezavati, B Majidi, MT Manzuri - 2019 4th International …, 2019 - ieeexplore.ieee.org
In the past few years, the application of surveillance for security and smart cities are growing
rapidly. The human detection based on the surveillance videos is a complex task and …
rapidly. The human detection based on the surveillance videos is a complex task and …
Cluster-based deep convolutional networks for spectral reconstruction from RGB images
C Zou, M Wei - Neurocomputing, 2021 - Elsevier
Spectral reconstruction is an important task in the field of computer vision with growing
attraction and scope of applications. This task aims to generate hyperspectral images (HSIs) …
attraction and scope of applications. This task aims to generate hyperspectral images (HSIs) …
Deep visual privacy preserving for internet of robotic things
In the past few years, visual information collection and transmission is increased significantly
for various applications. Smart vehicles, service robotic platforms and surveillance cameras …
for various applications. Smart vehicles, service robotic platforms and surveillance cameras …
Inbound e-marketing using neural network based visual and phonetic user experience analytics
Inbound marketing is the process of attracting the probable customers to a business before
they have any intention to become customers. An effective method for inbound marketing is …
they have any intention to become customers. An effective method for inbound marketing is …