A5017871252- Genomics and Phylogenetic Studies
- Antibiotic Resistance in Bacteria
- Bacterial biofilms and quorum sensing
- Advanced Chemical Sensor Technologies
- Health Systems, Economic Evaluations, Quality of Life
- Plant Pathogenic Bacteria Studies
- Spectroscopy and Chemometric Analyses
- Biosensors and Analytical Detection
- Culinary Culture and Tourism
- Fecal contamination and water quality
- Nosocomial Infections in ICU
- Listeria monocytogenes in Food Safety
Prince of Songkla University
2017-2024
Université Bourgogne Franche-Comté
2017-2018
Centre National de la Recherche Scientifique
2017-2018
Université de Bourgogne
2017-2018
Franche-Comté Électronique Mécanique Thermique et Optique - Sciences et Technologies
2016-2018
The advent of next-generation sequencing has boosted the analysis bacterial genome evolution. Insertion sequence (IS) elements play a key role in prokaryotic organization and evolution, but their repetitions genomes complicate detection from short-read data.PanISa is software pipeline that identifies IS insertions ab initio data. It highly sensitive precise tool based on read-mapping patterns at insertion site. PanISa performs better than existing systems as it database-free approach. We...
Mold on bread in the early stages of growth is difficult to discern with naked eye. Visual inspection and expiration dates are imprecise approaches that consumers rely detect spoilage. Existing methods for detecting microbial contamination, such as through a microscope hyperspectral imaging, unsuitable consumer use. This paper proposes novel mold detection method microscopic images taken using clip-on lenses. These low-cost lenses used together smartphone capture at 50× magnification. The...
Automated food logging is an essential component of modern dietary management, and recognition plays a crucial role in this process.However, the dishes items unique to specific cultures or regions remains less explored area.In study, we focus on automatic Thai cuisine, employing transfer learning techniques comparing performance 20 state-of-the-art convolutional neural networks.We investigate impact hyperparameters, such as batch size image resolution, well preprocessing methods...