Massive annotated datasets are necessary for networks of deep learning. When a topic is
being researched for the first time, as in the situation of the viral epidemic, handling it with …

Convolutional neural networks (CNN) have been increasingly popular in image
categorization in recent years. Hyperparameter optimization is a critical stage in enhancing …

Medical imaging technology plays a crucial role in the diagnosis and treatment of diseases.
However, the captured medical images are often in a low resolution (LR) due to the limited …

Abstract Evolutionary Algorithms (EAs) are a well-known domain within Artificial Intelligence.
EAs have demonstrated their ability to tackle intricate optimization problems using …

Chest X-ray images (CXR) can convey a great deal about a patient's condition; hence, the
standard chest radiograph should be reconsidered. Interpretation of radiographs is …

Background Several governments from African countries, including the Democratic Republic
of the Congo (DRC), implemented stringent public health measures to curb COVID-19 …

Object detection, a fundamental task in computer vision, is crucial for various intelligent edge
computing applications. However, object detection algorithms are usually heavy in …

The COVID-19 pandemic has necessitated the development of innovative and efficient
methods for early detection and diagnosis. Integrating Internet of Things (IoT) devices and …

Deep learning methods have significantly advanced profiling side-channel attacks. Finding
the optimal set of hyperparameters for these models remains challenging. Effective …

The utilization of automated software tools is imperative to enhance the efficiency of lung
diseases through the analysis of X-ray images. The main objective of this study is to employ …