Abstract Deep Convolutional Neural Networks (DCNNs) have shown remarkable success in
image classification tasks, but optimizing their hyperparameters can be challenging due to …

In today's rapidly evolving corporate landscape, employee attrition has emerged as a critical
challenge for organizations aiming to sustain a skilled and motivated workforce. This paper …

Deep Learning frameworks have proven significant advance in the segmentation of objects
in images. However, for segmenting an object from the image, the image's quality is the …

This essay examines several cancer forms and their segmentation strategies. An especially
common death factors nowadays is cancer. Early identification and precise detection of …

In recent years, the proliferation of mobile devices in healthcare settings has revolutionized
patient care delivery and medical data management. However, the increased reliance on …

Text mining research has grown in importance in recent years due to the tremendous
increase in the volume of unstructured textual data. This has resulted in immense potential …

The medical field is witnessing rapid adoption of artificial intelligence (AI) and machine
learning (ML), revolutionizing disease diagnosis and treatment management. Researchers …

In the realm of healthcare, the integration of Internet of Things (IoT) technology has
revolutionized patient monitoring, allowing for real-time data collection and analysis. This …

The popularity of intelligent vehicles with cutting-edge vehicular applications has fueled the
rapid expansion of Vehicular Ad hoc Networks (VANETs) in recent years. VANETs are a …

A brain condition known as epilepsy is characterized by frequent seizures. A seizure is an
abrupt change in behavior brought on by a brief disturbance in the electrical activity of the …