Abstract Human Activity Recognition (HAR) is a crucial research focus in the body area
networks and pervasive computing domains. The goal of HAR is to examine activities from …

The detection and brain tumor (BT) segmentation and classification are mandatory steps
before any radiotherapy or surgery. When performed manually, segmentation is time …

Suicide is a major global public health concern, and the application of artificial intelligence
(AI) methods, such as natural language processing (NLP), machine learning (ML), and deep …

Mental illness is a common disease that at its extremes leads to personal and societal
suffering. A complicated multi-factorial disease, mental illness is influenced by a number of …

Prostate cancer is a significant health concern with high mortality rates and substantial
economic impact. Early detection plays a crucial role in improving patient outcomes. This …

The increase in eye disorders among older individuals has raised concerns, necessitating
early detection through regular eye examinations. Age-related macular degeneration (AMD) …

The correction of grammatical errors in natural language processing is a crucial task as it
aims to enhance the accuracy and intelligibility of written language. However, developing a …

Accurately assessing suicide risk is a critical concern in mental health care. Traditional
methods, which often rely on self-reporting and clinical interviews, are limited by their …

Suicide has become a critical concern, necessitating the development of effective
preventative strategies. Social media platforms offer a valuable resource for identifying signs …

Abstract This Editorial introduces the PeerJ Computer Science Special Issue on Analysis
and Mining of Social Media Data. The special issue called for submissions with a primary …