The increased focus of people on the quality of health care in recent years has led hospital
owners to develop strategies and policies to improve medical services through the …

Protein sequence classification is vital for understanding protein functionalities, aiding in the
inference of novel protein functions. Machine learning and deep learning algorithms have …

This study introduces a novel benchmark dataset designed for Cricket Sentiment Analysis
on Bangla social media posts, emphasizing a low-resource setting. The dataset was …

Human age and gender prediction from facial images has garnered significant attention due
to its importance in various applications. Traditional models struggle with large-scale …

Cybersecurity is the process of defending computer networks, systems, and digital data from
intrusions, hacks, dam-age, and other cyber threats. It also prevents illegal access, and …

Abstract Chronic Kidney Disease (CKD) poses significant health risks, particularly for elderly
and middle-aged individuals, leading to gradual kidney damage and reduced renal function …

In today's digital era, the widespread issue of fake news significantly undermines the
credibility of information, highlighting the need for sophisticated detection methods. This …

Recently, the concept of transfer learning has been extensively utilized, demonstrating its
efficacy across various tasks. Motivated by its success in image classification, this research …

This research explores the application of predictive modeling for time series analysis in the
context of Foreign Exchange (FOREX) trading, focusing specifically on the USD, EUR, and …

The detection of varied hand gestures in heterogeneous settings plays a crucial role in
enhancing human-computer interaction. Leveraging the YOLO-V4 model for object detection …