Vijitha Herath
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View article: PoPStat-COVID19: Leveraging Population Pyramids to Quantify Demographic Vulnerability to COVID-19
PoPStat-COVID19: Leveraging Population Pyramids to Quantify Demographic Vulnerability to COVID-19 Open
Understanding how population age structure shapes COVID-19 burden is crucial for pandemic preparedness, yet common summary measures such as median age ignore key distributional features like skewness, bimodality, and the proportional weigh…
View article: Mamba-FCS: Joint Spatio- Frequency Feature Fusion, Change-Guided Attention, and SeK Loss for Enhanced Semantic Change Detection in Remote Sensing
Mamba-FCS: Joint Spatio- Frequency Feature Fusion, Change-Guided Attention, and SeK Loss for Enhanced Semantic Change Detection in Remote Sensing Open
Semantic Change Detection (SCD) from remote sensing imagery requires models balancing extensive spatial context, computational efficiency, and sensitivity to class-imbalanced land-cover transitions. While Convolutional Neural Networks exce…
View article: Precision Spatio-Temporal Feature Fusion for Robust Remote Sensing Change Detection
Precision Spatio-Temporal Feature Fusion for Robust Remote Sensing Change Detection Open
Remote sensing change detection is vital for monitoring environmental and urban transformations but faces challenges like manual feature extraction and sensitivity to noise. Traditional methods and early deep learning models, such as convo…
View article: COSMO-INR: Complex Sinusoidal Modulation for Implicit Neural Representations
COSMO-INR: Complex Sinusoidal Modulation for Implicit Neural Representations Open
Implicit neural representations (INRs) are a powerful paradigm for modeling data, offering a continuous alternative to discrete signal representations. Their ability to compactly encode complex signals has led to strong performance in many…
View article: Enhanced SCanNet with CBAM and Dice Loss for Semantic Change Detection
Enhanced SCanNet with CBAM and Dice Loss for Semantic Change Detection Open
Semantic Change Detection (SCD) in remote sensing imagery requires accurately identifying land-cover changes across multi-temporal image pairs. Despite substantial advancements, including the introduction of transformer-based architectures…
View article: AVSim -- Realistic Simulation Framework for Airborne and Vector-Borne Disease Dynamics
AVSim -- Realistic Simulation Framework for Airborne and Vector-Borne Disease Dynamics Open
Computational disease modeling plays a crucial role in understanding and controlling the transmission of infectious diseases. While agent-based models (ABMs) provide detailed insights into individual dynamics, accurately replicating human …
View article: Devising PoPStat: A Metric Bridging Population Pyramids with Global Disease Mortality
Devising PoPStat: A Metric Bridging Population Pyramids with Global Disease Mortality Open
Understanding the relationship between population dynamics and disease-specific mortality is central to evidence-based health policy. This study introduces two novel metrics, PoPDivergence and PoPStat, one to quantify the difference betwee…
View article: The influence of social interactions in mitigating psychological distress during the COVID−19 pandemic: a study in Sri Lanka
The influence of social interactions in mitigating psychological distress during the COVID−19 pandemic: a study in Sri Lanka Open
Massive changes in many aspects related to social groups of different socioeconomic backgrounds were caused by the COVID-19 pandemic and as a result, the overall state of mental health was severely affected globally. This study examined ho…
View article: Hyperspectral unmixing with spatial context and endmember ensemble learning with attention mechanism
Hyperspectral unmixing with spatial context and endmember ensemble learning with attention mechanism Open
In recent years, transformer-based deep learning networks have gained popularity in Hyperspectral (HS) unmixing applications due to their superior performance. Most of these networks use an Endmember Extraction Algorithm(EEA) for the initi…
View article: Performance Benchmarking of Psychomotor Skills Using Wearable Devices: An Application in Sport
Performance Benchmarking of Psychomotor Skills Using Wearable Devices: An Application in Sport Open
Mastering psychomotor skills, such as those essential in sports, rehabilitation, and professional training, often requires a precise understanding of motion patterns and performance metrics. This study proposes a versatile framework for op…
View article: Impact of Shoe Parameters on Gait Using Wearables
Impact of Shoe Parameters on Gait Using Wearables Open
The study of biomechanics during locomotion provides valuable insights into the effects of varying conditions on specific movement patterns. This research focuses on examining the influence of different shoe parameters on walking biomechan…
View article: Family income does not necessarily lead to a holistic e-learning experience during COVID-19: a study in Sri Lanka
Family income does not necessarily lead to a holistic e-learning experience during COVID-19: a study in Sri Lanka Open
The COVID-19 outbreak caused a disruption of the conventional education system worldwide. This resulted in a shift towards online mode of delivery. This study analyzed the pandemic’s effect on the education of students from diverse socioec…
View article: Performance Benchmarking of Psychomotor Skills Using Wearable Devices: An Application in Sport
Performance Benchmarking of Psychomotor Skills Using Wearable Devices: An Application in Sport Open
Mastering psychomotor skills, such as those essential in sports, rehabilitation, and professional training, often requires a precise understanding of motion patterns and performance metrics. This study proposes a versatile framework for op…
View article: The Role of Social Interactions in Mitigating Psychological Distress During the COVID-19 Pandemic: A Study in Sri Lanka
The Role of Social Interactions in Mitigating Psychological Distress During the COVID-19 Pandemic: A Study in Sri Lanka Open
Massive changes in many aspects related to social groups of different socioeconomic backgrounds were caused by the COVID-19 pandemic and as a result, the overall state of mental health was severely affected globally. This study examined ho…
View article: Aflatoxin contamination level estimation in food using reflectance multispectral imaging based system
Aflatoxin contamination level estimation in food using reflectance multispectral imaging based system Open
This study presents a non-invasive, non-destructive, and rapid method of classifying and estimating aflatoxin levels in food samples using a multispectral imaging. A cost effective, mass deployable in-house built multispectral imaging syst…
View article: A Novel Algorithm for Digital Lithological Mapping-Case Studies in Sri Lanka's Mineral Exploration
A Novel Algorithm for Digital Lithological Mapping-Case Studies in Sri Lanka's Mineral Exploration Open
Conventional manual lithological mapping (MLM) through field surveys are resource-extensive and time-consuming. Digital lithological mapping (DLM), harnessing remotely sensed spectral imaging techniques, provides an effective strategy to s…
View article: I-Diff: Structural Regularization for High-Fidelity Diffusion Models
I-Diff: Structural Regularization for High-Fidelity Diffusion Models Open
Denoising Diffusion Probabilistic Models (DDPMs) have significantly advanced generative AI, achieving impressive results in high-quality image and data generation. However, enhancing fidelity without compromising semantic content remains a…
View article: Transformer based Endmember Fusion with Spatial Context for Hyperspectral Unmixing
Transformer based Endmember Fusion with Spatial Context for Hyperspectral Unmixing Open
In recent years, transformer-based deep learning networks have gained popularity in Hyperspectral (HS) unmixing applications due to their superior performance. The attention mechanism within transformers facilitates input-dependent weighti…
View article: Family income does not necessarily lead to a holistic e-learning experience during COVID-19: A study in Sri Lanka
Family income does not necessarily lead to a holistic e-learning experience during COVID-19: A study in Sri Lanka Open
The COVID-19 outbreak caused a disruption of the conventional education system worldwide. This resulted in a shift towards online mode of delivery. This study analyzed the pandemic's effect on the education of students from diverse socioec…
View article: Detection of fungal growth on food material using spectral imaging
Detection of fungal growth on food material using spectral imaging Open
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View article: GAUSS: Guided encoder - decoder Architecture for hyperspectral Unmixing with Spatial Smoothness
GAUSS: Guided encoder - decoder Architecture for hyperspectral Unmixing with Spatial Smoothness Open
This study introduces GAUSS (Guided encoder-decoder Architecture for hyperspectral Unmixing with Spatial Smoothness), a novel autoencoder-based architecture for hyperspectral unmixing (HU). GAUSS consists of an Approximation Network (AN), …
View article: Dual mode multispectral imaging system for food and agricultural product quality estimation
Dual mode multispectral imaging system for food and agricultural product quality estimation Open
Multispectral imaging coupled with Artificial Intelligence, Machine Learning and Signal Processing techniques work as a feasible alternative for laboratory testing, especially in food quality control. Most of the recent related research ha…
View article: Pandemic Simulator: An Agent-Based Framework with Human Behavior Modeling for Pandemic-Impact Assessment to Build Sustainable Communities
Pandemic Simulator: An Agent-Based Framework with Human Behavior Modeling for Pandemic-Impact Assessment to Build Sustainable Communities Open
It is crucial to immediately curb the spread of a disease once an outbreak is identified in a pandemic. An agent-based simulator will enable policymakers to evaluate the effectiveness of different hypothetical strategies and policies with …
View article: Deep learning for automated fish grading
Deep learning for automated fish grading Open
Fish is a staple food around the globe, and its quality is heavily dependent on freshness. The conventional method for evaluating the quality of fish is through a visual inspection of a sample. However, this approach heavily depends on hum…