This manuscript proposes a self-attention based progressive generative adversarial network
optimized with momentum search optimization algorithm for brain tumor classification on …

In the global fight against breast cancer, the importance of early diagnosis is unparalleled.
Early identification not only improves treatment options but also significantly improves …

Soybean is a crop with a long cultivation history that plays a significant role on agricultural
field. Early diagnosis of Soybean Mosaic Virus Disease (SMVD) is must require, because it …

A significant task on remote sensing field is anomaly detection in hyperspectral images
(HSI). Many scientists have created several relevant techniques developing deep network …

Deep learning models form one of the most powerful machine learning models for the
extraction of important features. Most of the designs of deep neural models, ie, the …

Abstract The World Health Organization (WHO) reports that approximately 2.3 million breast
cancer cases are diagnosed each year. Early detection is key to tackling this issue, and …

One of the essential activities in fine-grained sentiment evaluation is aspect extraction.
Explicit opinion objectives from user-generated papers are the focus of this assignment …

The Extreme Learning Machine (ELM) stands out in machine learning as a powerful tool for
approximating complex nonlinear mappings. However, challenges arise from the inherent …