Greenhouse farming is a crucial aspect of modern agriculture, enabling crop growth in regulated
conditions. Despite this, traditional greenhouse management often depends on manual labor,
which can be inefficient and ...
The magnified demand for precise 3D reconstruction in computer vision and augmented reality fields has persuaded significant advances in model architectures that are capable of recovering voxel 3D representations from ...
The oiliness of cinnamon leaves, a crucial component in assessing their eligibility for
essential oil extraction, is still evaluated by the Sri Lankan cinnamon industry using
conventional techniques, despite technological ...
This work investigates the limitation of current adaptive user interfaces (AUIs) in Flutter-based
mobile applications. Most of the applications rely on static layouts incapable of dynamic
generation of personalized user ...
3D object reconstruction from 2D images is a long-standing challenge in computer vision due to the loss of depth information, occlusions, and the geometric ambiguity present in single-view inputs. Traditional reconstruction ...
Problem: Children may interact with inappropriate or harmful objects without having parents’
awareness. Also, current education applications have a lack of real time filtering system of
object detection with age ...
Deforestation is a significant threat to biodiversity, climate stability, and global heat
regulation. There are various reasons that lead to deforestation. Some are natural reasons,
and some are human activities. Human ...
Problem: For activities like information extraction, clinical decision-making, and literature mining, Biomedical Named
Entity Recognition (BioNER) is essential. Nevertheless, the majority of current BioNER systems mostly ...
The timber sector is essential to the economy; however, it continues to depend on manual and often
inaccurate techniques for identifying defects, grading, and cutting. As demand increases and
sustainability issues ...
Problem Statement:
Traditional Learning Management Systems (LMS) often struggle with scalability, real-time
communication, and user experience, making them inefficient for modern educational needs.
Many existing platforms ...
Tea planters face tremendous challenges in the identification of leaf diseases and determination of
the optimal harvesting time. Manually applied inspection methods are often ineffective,
inconsistent, and subject to ...
Cricket is most popular sport in the Sri Lanka, However, most of the players lack of their
fielding skills due to current coaching methods fail to offer personalized feedback to players.
Coaches are focusing on batting ...
The textile industry continues to rely heavily on manual inspection for fabric defect detection, a process that is often inefficient, inconsistent, and highly susceptible to human error, particularly in fast-moving production ...
Early defect detection is essential to ensure product quality and reduce waste in industrial manufacturing. However, traditional defect detection methods rely on large labelled datasets to train models or manual inspection, ...
Enterprise Resource Planning (ERP) systems are essentially the backbone of modern
businesses, playing a crucial role in managing their daily operations. Yet, this complex and
high-volume nature of financial transactions ...
The industry faces unnecessary challenges in quality assessment because the current measurement
techniques and leaf aging evaluation methods demonstrate performance restrictions. Traditional
grading methods depend on ...
Mulberry cultivation plays an important role in agriculture and traditional medicine in Sri Lanka. A unique red mulberry variety, native to Sri Lanka, possesses significant nutritional and medicinal value. However, the ...
Emotions of a human plays an important role in human life shaping the thoughts, behaviours
and relationships of a person. It is helpful in responding in different situations in life
appropriately and quickly like in ...
The rapid growth of digital communication platforms has intensified the spread of misinformation, posing significant social, political, and economic risks. This challenge is particularly severe in low-resource languages ...
The given thesis offers an AI-based martial arts nutrition prescription system as the solution to
the lack of accessibility to personalized dietary advice. Conventional nutrition education is
based on direct training ...