Thai University RankingsRESEARCH RADAR
AI, health data, digital tools, and innovation connecting technology with health services.
Ordered by latest publication date
Near-fault pulse-like ground motions (NPGMs) can significantly amplify the seismic response of base-isolated structures (BIS). Achieving optimal simultaneous control of both displacement and acceleration in BIS under varying ground motions …
We evaluate binary rainfall occurrence classification in southern Thailand using 00 UTC radiosonde profiles from Phuket Airport and rainfall observations at Phuket, Krabi, Takua Pa (Phang-nga) and Nakhon Si Thammarat. Of 2631 soundings from…
Fused deposition modeling (FDM) parts show condition-dependent variability in ultimate tensile strength (UTS), yet most machine learning (ML) studies report only deterministic point estimates, limiting use in safety-critical design. This wo…
Abstract Disparities in digital capacity building across countries highlight the need for global upskilling. This study examined digital health capacity building across policy, workforce, and pre-service education domains across 53 countrie…
Climate change has intensified hydrological extremes in Southeast Asia, yet the relationships between land use change, flood exposure, and vegetation stress remain poorly understood in tropical floodplain environments. This study assessed l…
ABSTRACT Basalt fiber‐reinforced polymer (BFRP) composites have emerged as a promising, environmentally responsible alternative to conventional glass fiber (GF) and carbon fiber (CF) composite systems. Produced from natural volcanic basalt …
Abstract Mass spectrometry imaging (MSI) is an advancing platform that enables the spatial mapping of molecular features directly onto tissue sections. The chemical profile is scanned pixel by pixel: analytes are ionized at each position an…
Mechanical damage is a major cause of postharvest quality deterioration in guava, and early discrimination of bruises caused by impact and vibration remains challenging due to visually indistinguishable peel bruising. This study investigate…
Purpose The study addresses operational demands for scalable artificial intelligence frameworks in high-dimensional affinity prediction. Current computational solutions prioritize architectural complexity over interpretability. Architectura…
Marine steel structures endure cyclic loading throughout their service life. Acoustic emission (AE) is an effective passive non-destructive testing technique. It captures transient elastic waves released during damage evolution in real time…
A randomized crossover trial with 30 fourth-year preclinical dental students compared verbal, visual, haptic, and no VR mirror guidance during simulated maxillary-molar access preparation. Each guidance mode reduced the outcome error score …
An affordable Activated Carbon/g-C 3 N 4 /Fe 2 WO 6 nanocomposites (ACNFeW NCs)-based solar-driven photocatalyst was developed for environmental remediation and toxicity applications. The degradation of Congo Red (CR), Methylene Red (MR), a…
Multifunctional cement mortars combining mechanical performance with aqueous formaldehyde (HCHO) adsorption offer a promising route toward functional and sustainable construction materials, yet balancing these functions remains challenging.…
Flooding and drought alternate in many tropical floodplains, but how vegetation responds to both hazards over multiple years remains poorly quantified. We examined vegetation–flood associations in the Chi River Basin, Northeast Thailand, dr…
This study aimed to develop and evaluate Deep Learning models for detecting varietal contamination in KDML-105 jasmine rice seeds using multispectral imaging and seed morphological features. Four rice varieties—KDML-105 and three Non–KDML-1…
Replacing repeated high-quality simulations with a fast surrogate is central to parametric studies, sensitivity analyses, and inverse design of coupled transport systems, yet the relative merits of tree-based ensembles for this task remain …
This study investigates the interplay between social and technological factors affecting traditional craftspeople’s ongoing willingness to utilize generative artificial intelligence (AIGC) tools, specifically text-based models and image gen…
Nitrogen is an essential macronutrient for the growth and quality of cut orchids, and both its deficiency and excess adversely affect plant vigour and inflorescence quality. This study evaluated nitrogen concentration in Dendrobium Sonia ‘E…
Southeast Asia faces a critical energy trilemma of rapidly rising electricity demand, persistent fossil fuel dependence, and increasingly ambitious decarbonization targets. The Association of Southeast Asian Nations (ASEAN) Power Grid (APG)…
Cellular steel beams (CSBs) provide structural efficiency through circular web openings, but these openings also induce stress redistribution and local instability. This study investigates simply supported stiffened CSBs under a central poi…
Abstract Cubosomes are third-generation lipidic nanocarriers characterized by bicontinuous cubic liquid-crystalline nanostructures and exceptionally high internal surface areas. These architectures enable the encapsulation of hydrophilic, h…
Uncrystallized water (UCW) refers to the fraction of water in hydrated materials that remains uncrystallized upon cooling. Rather than forming bulk ice, this water retains molecular mobility even below the nominal freezing point. In polymer…
Accurate prediction of solar radiation is essential for renewable energy planning, climate analysis, and agricultural productivity. Solar radiation data are required for the evaluation of solar power generation potential and crop water requ…
The study developed a two-stage ThaiSook pipeline: a binary model first rejects non-produce images, after which a multiclass model identifies 43 fruit and vegetable types and three vegetable-heavy dishes. The 40,595-image dataset contained …
Steel railway bridges require repeatable inspection methods capable of resolving spatially heterogeneous corrosion while reducing dependence on difficult-access surveys and continuous manual flight control. This study presents RustScan-DL/U…
Among the other carbon nitrides, graphitic carbon nitride (g-C₃N₄) is an economically viable, chemically stable, and thermally stable visible light-driven photocatalyst with an appropriate band gap of ∼2.7 eV. However, its application is cu…
การพยากรณ์อนุกรมเวลาเป็นสิ่งสำคัญในยุคปัจจุบัน ทั้งในด้านการพยากรณ์อากาศ การเงิน และอื่น ๆ โดยเฉพาะการพยากรณ์ราคาทองคำที่มีความซับซ้อนสูงเนื่องจากได้รับอิทธิพลจากปัจจัยทางเศรษฐกิจอย่างมาก แม้ว่าในปัจจุบันจะมีการศึกษาเกี่ยวกับวิธีการพยากรณ์ร…
Deciduous dipterocarp forests (DDFs), widespread in mainland Southeast Asia, are potentially important yet poorly quantified sources of isoprene, a dominant biogenic VOC and ozone/aerosol precursor, and observation-based estimates are essen…
Timely and context-sensitive climate policy recommendation requires intelligent systems that can seam-lessly integrate evolving environmental trends with domain-specific knowledge. However, existing tools rely predominantly on static keywor…
The excellent strength-to-weight ratio, ease of manufacturing, and cost-effectiveness of cold-formed steel (CFS) sections make them popular in structural applications. The Direct Strength Method (DSM) is widely used to predict CFS member st…
Prolonged sedentary behavior and static muscle loading during extended office work significantly escalate the risk of musculoskeletal disorders and cardiometabolic decline. An active micro-break associating these risks and the implementatio…
Certified seed purity is a prerequisite for sustaining the agronomic performance and commercial value of Khao Dawk Mali 105 (KDML-105), Thailand’s premium aromatic rice; however, conventional inspection methods are destructive, labour-inten…
BACKGROUND: Healthcare access in Vietnam confronts regional disparities and rising demand, requiring collaborative policies and strong workforce performance to guarantee effective and affordable services. This study scrutinises how organisa…
Invasive alien plant species (IAPS) are among the leading drivers of global biodiversity loss and ecosystem degradation, particularly in vulnerable wetland ecosystems where they disrupt ecological processes and diminish ecosystem services […
Although electroencephalography (EEG)-based emotion recognition is a promising approach for affective brain–computer interface (BCI) applications, substantial inter-subject variability continues to limit its generalizability. This study pro…
Non-destructive fruit quality assessment is essential for improving consistency, scalability, and objectivity of postharvest decision-making. This study presents a deep learning-assisted acoustic tapping system for classifying pineapple jui…
The construction of the core capability system for intelligent health elderly care management services provides precise guidance for professional talent cultivation. This research was carried out through four stages of actions. In the first…
Accurate prediction of wetted width and wetted depth is essential for optimizing water use efficiency in drip irrigation systems. Existing empirical models are often restricted to specific soil textures and cannot adequately capture the com…
Flooding is among the most frequent and damaging natural hazards globally, yet the population dynamics of repeatedly flooded areas remain poorly understood, particularly the phenomenon of maladaptation population growth in hazard-prone zone…
Selective harvesting and postharvest grading for premium Arabica coffee production rely on the maturity of coffee cherries. Conventional visual assessment is subjective, labor-intensive, and difficult to standardize. This study developed an…
ABSTRACT Nonlinear optical (NLO) processes, particularly second‐ and third‐harmonic generation (SHG and THG), are central to modern photonics, enabling frequency conversion, ultrafast signal processing, and nonlinear imaging technologies. T…
The farming industry of melons, which produces over 28 million tons annually, is confronted with major challenges regarding environmental changes and the lack of proper planning tools. In this study, the researchers seek to examine the appl…
Arsenic contamination in food and water remains a major global health issue, particularly across South and Southeast Asia. Although advanced analytical methods such as ICP-MS and GFAAS offer high sensitivity and precision, they are costly, …
In this paper, we propose a shrinking double inertial framework for approximating common fixed points of a countable family of quasi-nonexpansive mappings in Hilbert spaces. The framework combines a shrinking projection technique with a dou…
Solar flares can strongly disturb the ionosphere and significantly affect radio communication and satellite navigation systems. In this paper, the Ionospheric responses to four X-class solar flare events that occurred during the 25th solar …
Flooding is a destructive natural hazard intensified by climate change, posing challenges to sustainable disaster risk management. This study developed and evaluated machine learning models for flood severity prediction within a hexagonal g…
A local explanation method (LE) in explainable artificial intelligence (XAI) is basically a two-step procedure: first construct a naively explainable model approximating the black-box model in need of explanations; then extract an explanati…
The widespread use of artificial intelligence (AI) has been applied in many areas of application, including software engineering. In this practice-oriented study, AIware is adopted to build a traditional human-directed software model to eli…
Climate change is intensifying hydrological extremes, yet most frameworks assess drought and flood hazards independently, limiting integrated risk management. This study proposes a two-dimensional analytical framework to characterize the dr…
Understanding how landscape form influences inundation severity remains central to flood hazard assessment, yet many assumed relationships lack empirical scrutiny. We investigated whether five topographic attributes—elevation, slope, topogr…
The aerospace industry increasingly relies on modeling to accelerate composite structure development. While finite element methods (FEM) effectively simulate impact damage in carbon fiber-reinforced polymers (CFRPs), they demand specialized…
The precision of oil palm fresh fruit bunch (FFB) ripeness classification directly determines the extraction efficiency and chemical quality of the resulting crude palm oil (CPO). Traditional manual inspection at reception ramps remains lab…
This study presents an integrated Computational Fluid Dynamics (CFD) and machine learning framework for analyzing and optimizing classical wire coating processes involving non-Newtonian power-law fluids. A two-dimensional axisymmetric CFD m…
High Resolution Image Download MS PowerPoint Slide Serum albumin (SA), the most abundant protein carrier in blood plasma, is a major allergen source. Chicken serum albumin (CHSA) is associated with chicken meat allergy due to its cross-reac…
This mechanistic review integrates three decades of work into a neuroimmune-metabolic-oxidative framework linking immune activation, tryptophan, iron and lipid metabolism, oxidative stress, and reduced neuroprotection in severe major depres…
This AI study analyses multiparametric MRI from 58 glioblastoma patients to distinguish true progression from pseudoprogression, comparing handcrafted radiomics, Vision Transformer features and hybrids while using CT-GAN for class imbalance…
The study assembled 1,097 chest radiographs from five institutions and 3,117 interpretations by six NIOSH-certified B readers. Participants were at least 15 years old, while people with HIV or opportunistic infection were excluded. Readings…
A 35-item electronic survey compared preclinical and clinical students across opinions, practices, attitudes and barriers. Respondents generally perceived teledentistry as useful for access to oral care and patient monitoring.
The review searched PubMed and Scopus for studies published between November 2014 and March 2026 and included 42 publications. Applications covered teaching and learning, assessment and academic-performance prediction, including chatbots, s…
An umbrella review of 16 systematic reviews and meta-analyses across predialysis, dialysis and transplant populations found more consistent benefits for adherence, diet and fluid management, self-efficacy, psychological well-being and quali…