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…
Journal
International Journal of Computer Information Systems and Industrial Management Applications
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…
Journal
Journal of Open Innovation Technology Market and Complexity
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…
Journal
Argument & Computation
Thai researchers
Nguyen Duy Hung · Thanaruk Theeramunkong
Thai institutions
Thammasat University · The Royal College Of Anesthesiologists Of Thailand
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…
Journal
International Journal of Service Science Management Engineering and Technology
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…
Journal
Eng—Advances in Engineering
Thai researchers
Kriengkrai Nabudda · P. Poungthong · Wirote Ritthong
Thai institutions
King Mongkut's Institute of Technology Ladkrabang · Shinawatra University
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…
A stratified survey of 375 adults across 11 subdistricts in Samut Songkhram found mostly moderate health literacy, digital health literacy and PM2.5 self-care. Literacy dimensions explained 28.1% of behavior, led by using information for de…
Thai researchers developed percentile-based plantar thermography indices for vascular-ischemic and metabolic-inflammatory patterns. PCA and logistic regression produced moderate discrimination (AUC 0.714), with 74.2% sensitivity and 65.0% s…
A 2016-2020 Bangkok time-series analysis used RNN, LSTM and GRU models to relate six pollutants to daily mortality. A 23-day-lag LSTM was reported as the best model, while SHAP emphasised humidity, PM2.5 and ozone overall. Prediction does n…
A preliminary study proposed entropy-weighted hybrid pooling for CNN classification of 9,016 public breast-ultrasound images. The three-block model averaged 93.98% accuracy and 0.987 AUC, slightly above max pooling, but hybrid pooling did n…
DBNet/EasyOCR converted image-based Thai hospital polysomnography reports to text, followed by task-specific ChatGPT-3.5 extraction. Prompt refinement reduced errors and showed potential for real-world evidence workflows, but numerical, sym…
Journal
Scientific Reports
Thai researchers
Bikal Shrestha · R Sr Wabina · Pawin Numthavaj · Visasiri Tantrakul · Ammarin Thakkinstian
Thai institutions
Mahidol University · Ramathibodi Hospital · Bangkok University
This bioinformatics study combines two-stage feature selection with a neural classifier to identify candidate Mpox-associated genes from two microarray datasets and one RNA-seq dataset, followed by network analyses and molecular docking.
EPECT combines convolution, positional encoding and eigenvalue-guided attention to classify motor-imagery and cognitive tasks from EEG-fNIRS. Across two public datasets under leave-one-subject-out evaluation, reported accuracies ranged from…
Journal
Mathematics
Thai researchers
Chayut Bunterngchit
Thai institutions
King Mongkut's University of Technology North Bangkok
An international CHNRI exercise asked 51 experts to score 155 research ideas on feasibility, disease-burden impact, paradigm-shift potential, implementation and equity. Highest priorities included outbreak prediction, infectious-disease dia…
The study assessed the implementation of the CheckPD app in 10 provinces through a combination of public health volunteers, dispatch and self-use. It shows that a population-level neurological disease screening system can be connected to th…
This narrative review article explores Explainable AI, or AI that can explain the reasoning behind results. To help reduce black box limitations and increase confidence in applying AI to root canal treatment.
The use of artificial intelligence in mental health services is experiencing rapid development and is increasingly widespread across clinical, community, and digital service contexts (Bickman, 2020...
The construction industry in India, a key driver of economic growth contributing significantly to GDP and employment, faces persistent issues such as project delays, cost overruns, labour shortages, safety concerns, and low productivity. Ar…
Journal
International Journal of Latest Technology in Engineering Management & Applied Science
