Leveraging Hugging Face Models on Azure Machine Learning
By incorporating Hugging Face models into Azure Machine Learning, developers can gain access to a diverse range of tools and technologies.
Joint FAO/WHO Technical Workshop on Residues of Veterinary Drugs without ADI/MRL - Bangkok, 24 – 26 August 2004
Nitrofurans Case Study: Thailand's experience. Sujittra Phongvivat, Bangkok, Thailand. 1 Introduction. Thailand exports agricultural...
PART II The decline and recovery of Thai agriculture: causes, responses, prospects and challenges (Continue)
This publication is part of a three-volume diagnostic study on lessons learned and implications for agriculture and food security in the context of rapid...
Advanced phenotyping features utilizing deep learning techniques for automated analysis of stomatal guard cell orientation
Stomata are vital for controlling gas exchange and water vapor release, which significantly affect photosynthesis and transpiration.
Evaluation and comparison of spatial cluster detection methods for improved decision making of disease surveillance: a case study of national dengue surveillance in Thailand
We conducted a simulation study to compare their performance in detecting clusters, and applied all methods to a case study of dengue surveillance in Thailand...
Bayesian regression versus machine learning for rapid age estimation of archaeological features identified with lidar at Angkor | Scientific Reports
A predictive model was developed combining standard regression with novel machine learning methods to estimate temple foundation dates for undated Angkorian...
Learning Methods During School Closure and Its Correlation With Anxiety and Health Behavior of Thai Students
This study aimed to examine how different learning methods may correlate with anxiety and health behavior (eg, physical activity, active play, screen time,...
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ARTS & EXHIBITIONS 8th - 28th June EXHIBITION OF ART AND RESEARCH @ CMU Art Centre On the occasion of the celebration of the 30th anniversary.
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