Optimal deep learning neural network using ISSA for diagnosing the oral cancer

Q Huang, H Ding, N Razmjooy - Biomedical Signal Processing and Control, 2023 - Elsevier
Most cancers are not fatal if diagnosed early and treated with medication. But if cancer is not
diagnosed early and people do not start treatment, their lives may be in danger. Oral cancer …

ResNet-34/DR: a residual convolutional neural network for the diagnosis of diabetic retinopathy

NM Almoosawi, RS Khudeyer - Informatica, 2021 - informatica.si
Diabetic retinopathy (DR) is an eye complication associated with diabetes, resulting in
blurred vision or blindness. The early diagnosis and treatment of DR can decrease the risk …

Designing a new deep convolutional neural network for content-based image retrieval with relevance feedback

H Rastegar, D Giveki - Computers and Electrical Engineering, 2023 - Elsevier
Content-based image retrieval (CBIR) is a hot research topic in computer vision. Relevance
Feedback (RF) is a powerful technique that can help to increase quality of the CBIR. In this …

Multiple filter-based rankers to guide hybrid grasshopper optimization algorithm and simulated annealing for feature selection with high dimensional multi-class …

AG Sharifai, ZB Zainol - IEEE Access, 2021 - ieeexplore.ieee.org
DNA microarray data analysis is infamous due to a massive number of features, imbalanced
class distribution, and limited available samples. In this paper, we focus on high …

Systematic literature review on optimization and exploration of retrieval methods digital image of ancient manuscript as an attempt conservation of cultural heritage

I Suryana, D Chaerani, K Muslihin… - … Journal of Data and …, 2024 - growingscience.com
Digitization technology has developed in the preservation of cultural heritage, especially
ancient manuscripts. In this context, image retrieval methods allow for efficient access to the …

A noise-aware deep learning model for automatic modulation recognition in radar signals

M Aslinezhad, A Sezavar, A Malekijavan - International Journal of Engineering, 2023 - ije.ir
Automatic waveform recognition has become an important task in radar systems and spread
spectrum communications. Identifying the modulation of received signals helps to recognize …

Infant brain segmentation based on a combination of VGG‐16 and U‐Net deep neural networks

S Pasban, S Mohamadzadeh… - IET Image …, 2020 - Wiley Online Library
Medical image segmentation plays a key role in identifying the disease type. In the last
decade, various methods have been proposed for medical images segmentation. Despite …

New dominant color descriptor features based on weighting of more informative pixels using suitable masks for content-based image retrieval

S Fadaei - International Journal of Engineering, 2022 - ije.ir
Content-based image retrieval (CBIR) is a process of retrieving images based on their
content in a dataset automatically. CBIR is a common solution to search images similar to a …

[PDF][PDF] Image edge detection with fuzzy ant colony optimization algorithm

Z Dorrani, H Farsi, S Mohamadzadeh - International Journal of Engineering, 2020 - ije.ir
Searching and optimizing by using collective intelligence are known as highly efficient
methods that can be used to solve complex engineering problems. Ant colony optimization …

Concepts, key challenges and open problems of federated learning

Z Iqbal, HY Chan - International Journal of Engineering, 2021 - ije.ir
With the modern invention of high-quality sensors and smart chips with high computational
power, smart devices like smartphones and smart wearable devices are becoming primary …