Parkinson’s Disease (PD) is a progressive neurodegenerative disorder characterized by the grad ual loss of dopamine-producing neurons in the substantia nigra, resulting in both motor symptoms such as tremors, rigidity, ...

Normal brain aging refers to the gradual, natural changes in brain structure and function that occur with advancing age, in the absence of neurodegenerative disease. Identifying biomarkers of normal aging is essential ...

Brain age prediction from biomechanical brain imaging is a promising approach for identifying early signs of neurodegeneration. By estimating the deviation between predicted and chronological age, it is possible to ...

Accurate classification of Aloe vera leaf diseases is challenging due to overlapping colour patterns between healthy and infected regions under varying lighting conditions. Traditional methods often fail to capture these ...

This document presents a study on improving sugarcane disease detection in Sri Lanka, where productivity is significantly hindered by diseases such as White Leaf Disease, Red Rot, Rust, and Yellow Leaf Disease. Although ...

Monitoring crop cultivation is vital for food security, land-use planning, and sustainable agri culture, especially in regions dependent on rainfall. Accurate mapping and measurement of cultivated and non-cultivated paddy ...

Cardiovascular and other non-communicable diseases (NCDs), especially diabetes and cancers, are some of the critical global health problems that are resulting in a high rate of morbidity and mortality. The prevalence of ...

The Key Player Problem (KPP), introduced by Stephen P. Borgatti, aims to identify a set of k nodes (KP set) whose removal maximally disrupts communication within a network. These disruptions can impair the integrity, ...

This paper presents a legal NLP system that maps free-text traffic violation narratives to the applicable offences and penalties under Sri Lanka’s Motor Traffic Act. We digitize the principal Act and its amendments into ...

Seagrass ecosystems are integral to marine biodiversity, carbon sequestration, and coastal re silience, yet their monitoring remains constrained by the complexities of underwater imaging and manual species identification. ...