A5089640498- Global Maternal and Child Health
- Remote Sensing and LiDAR Applications
- Land Use and Ecosystem Services
- Fire effects on ecosystems
- Remote Sensing in Agriculture
- Flood Risk Assessment and Management
- Urban Design and Spatial Analysis
- Healthcare Quality and Satisfaction
- Water resources management and optimization
- Soil and Land Suitability Analysis
- Groundwater and Watershed Analysis
- Forest ecology and management
- Healthcare Systems and Reforms
- Statistical Methods in Epidemiology
- Forest Biomass Utilization and Management
- Urban and Freight Transport Logistics
- Child Nutrition and Water Access
- Hydropower, Displacement, Environmental Impact
- Conservation, Biodiversity, and Resource Management
- Parasites and Host Interactions
Mahasarakham University
2019-2024
Infection with liver flukes (Opisthorchis viverrini) is partly due to their ability thrive in habitats sub-basin areas, causing the intermediate host remain watershed system throughout year. Spatial modeling used predict water source infections, which involves designing appropriate area units hexagonal grids. This allows for creation of a set independent variables, are then covered using machine learning techniques such as forest-based classification regression methods. The variable was...
Rubber is a perennial plant grown for natural rubber production, which used in various global products. Ensuring the sustainability of cultivation crucial smallholder farmers and economic development. Accurately predicting yields necessary to maintain price stability. Remote sensing technology valuable tool collecting spatial data on large scale. However, smaller plots land owned by farmers, it process productivity estimates from high-resolution satellite that are accurate reliable. This...
The main purpose of the study is to apply symmetry principles general mathematical modelling based on multi-criteria decision making (MCDM) approach for use in development conjunction with geographic weighted regression (GWR) model and optimize artificial neural network-cellular automaton (ANN-CA) forecasting sugarcane plot burning area Northeast Thailand. First, calculate service boundaries transport that caused a fire radiative power (FRP) values using spatial correlation analysis...
The transformation of land-use and land cover in Nakhon Ratchasima province, Thailand has rapidly changed over the last few years. major factors affecting growth province arise from huge expansion developing areas, according to government’s development plans that aim promote as a central business-hub region. This eventually intruded upon interfered with sub-basin which led environmental problems scope this study comprises three objectives, i.e., (i) optimize Cellular Automata (CA) model for...
Infection of liver flukes (Opisthorchis viverrini) is partly due to their suitability for habitats in sub-basin areas, which causes the intermediate host remain watershed system all seasons. Spatial monitoring fluke infection at small basin analysis scale important because this can enable level spatial factors involved and influencing infections. The mathematical model was weighted by nine dividing into two levels. 1) boundary analyzed with ordinary least square (OLS) used analyze aimed...
Infection of liver flukes (Opisthorchis viverrini) is partly due to their suitability for habitats in sub-basin areas, which causes the intermediate host remain watershed system all seasons. The spatial monitoring fluke at small basin scale important because this can enable analysis level factors involved that influence infections. A mathematical model was weighted by nine X1 (index land-use types), X2 soil drainage properties), X3 (distance index from road network, X4 surface water...
Introduction Infection with liver flukes (Opisthorchis viverrini) is partly attributed to their ability thrive in sub-basin habitats, causing the intermediate host remain within watershed system throughout year. It crucial conduct spatial monitoring of fluke infection at a small basin analysis scale as it helps studying factors influencing these infections. The number infected individuals was obtained from local authorities, converted into percentage, and visually represented raster data...
Infection of liver flukes (Opisthorchis viverrini) is partly due to their suitability for habitats in sub-basin areas, which causes the intermediate host remain watershed system all seasons. Spatial monitoring fluke infection at small -basin analysis scale important because this can enable level spatial factors involved and influencing infections. A geographic weighted regression model was developed analyze characteristics infection, aiming 1. associated with human according boundaries 2....