T. Porntaveetus

An Atlas of Specificity Protein 1 in Oral Cancer: Networks, Therapeutics, and Priorities: A Scoping Review and scRNA-seq Analysis.

Oral squamous cell carcinoma (OSCC) remains the most common oral malignancy and has limited targeted therapeutic options. Specificity protein 1 (Sp1), a versatile zinc-finger transcription factor, has emerged as a pivotal regulator of cellular proliferation, apoptosis, epithelial-mesenchymal transition (EMT), and chemo...

Clinical and Radiographic Outcomes of Combined Surgical Therapy for Peri-implantitis with Complex Bone Defects

The purpose of this study was to evaluate the clinical and radiographic outcomes of combined surgical therapy for the management of peri-implantitis associated with complex bone defects. We hypothesized that this combined approach may be associated with improvements in clinical parameters and radiographic defect fill...

RPGCN: A relation-preserving graph convolutional network for enhanced node feature prediction in recommender systems

SemanticST: A Scalable Multi‐Contextual Graph Learning Framework for Uncovering Spatial Niches and Robust Multi‐Sample Integration in Spatial Transcriptomics

ABSTRACT Spatial transcriptomics (ST) analysis is often hindered by technical limitations and methodological biases that let dominant signals overshadow subtle but crucial biological patterns, such as rare cell types and fine‐grained heterogeneity. This is especially true for high‐complexity datasets from platforms lik...

A Q-learning-based mobility-aware tree routing protocol in wireless body area networks

This study proposes a Q-learning-based mobility-aware tree routing protocol (QMTR) for WBANs integrated with vehicular ad hoc networks (VANETs) to support reliable transmission of passengers’ health data to remote medical centers.

AxisGeo: proactive axis-guided 3D geographic routing with local refinement and void avoidance in flying Ad hoc networks

The performance of AxisGeo was evaluated against A-Geo, UF-GPSR, and GPSR under three simulation scenarios involving variations in UAV density, UAV speed, and network traffic and indicates that AxisGeo provides improved routing performance across the evaluated FANET scenarios.

Large Language Model Agents for Evidence Based Genetic Disease Severity Classification

An autonomous AI agent integrating Reasoning and Acting with Retrieval-Augmented Generation with Retrieval-Augmented Generation is developed to classify 10,211 Human Phenotype Ontology terms, enabling standardized panel design by providing reliable, automated classification supported by direct evidence.

A Dual-Stream Deep Learning Framework for Multi-Label Classification of Dental Conditions in Panoramic Radiographs With Explainable AI Integration.

The proposed dual-stream framework enables accurate and interpretable multi-label classification of dental restorations from panoramic radiographs and demonstrates robust generalisation across independent datasets, which support its potential as an AI-assisted clinical decision-support tool for dental radiographic inte...

ARFOR: adaptive random forest and owl optimization for energy-efficient routing in WSN-IoT

3D-VRTGR: A novel 3D virtual relay tunnel-based geographic routing for flying ad hoc networks

Simulation results under varying UAV density, mobility, and traffic load demonstrate that 3D-VRTGR consistently outperforms GPSR, UF-GPSR, and A-Geo and confirm the robustness and efficiency of 3D-VRTGR in highly dynamic FANET environments.

Intelligent Business Document Processing Using AI- and NLP-Based Techniques: A Systematic Literature Review

The findings show that AI- and NLP-based methods have significantly improved the automation, retrieval, interpretation, and structuring of business documents, and large language models (LLMs), particularly when combined with prompt engineering, retrieval-augmented generation, knowledge graphs, and agent-based architect...

ASGRR: Adaptive Swarm-Guided Graph Policy Routing for energy-efficient WSN-IoT networks

This paper proposes ASGRR (Adaptive Swarm-Guided Graph Policy Routing), a novel hybrid routing framework that integrates Message Passing Neural Networks, Policy Gradient Reinforcement Learning (PGRL), and the Artificial Bee Colony algorithm in a self-adaptive hybrid form.