Computing (Computer Science; Computer Engineering) > Artificial Intelligence (AI)

19 Items

All Items

A Data-Driven Framework for Diabetes Prediction: Machine Learning-Based Comparison of Invasive and Non-Invasive Screening

Sasipatcha Hanmanop, Tatpol Jongsiri, Kittitat Waiprasit, Suejit Pechprasarn

159
A Machine Learning Approach to Predicting Survival of Clinical AIDS Patients via Feature Selection Algorithms

Suejit Pechprasarn, Punn Santichanyaphon, Rawisara Triyaprasertporn, Achiraya Asawarachan

158
A Reinforcement Learning–Guided Hybrid NSGA-II + ALNS Framework for Large-Scale Capacitated Transportation Optimization in Thai Sugarcane Logistics

Putis Wittayasin, Nuchsara Kriengkorakot, Preecha Kriengkorakot

189
A Study on Area Assessment of Psoriasis Lesions Using Image Augmentation and Deep Learning: Addressing the Lack of Thai Skin Disease Data

Tanatorn Tanantong, Nawarerk Chalarak, Sumet Jirattisak, Kitiya Tanantong, Krittakom Srijiranon

119
A Surrogate Model's Decision Tree Method Evaluation for Uncertainty Quantification on a Finite Element Structure via a Fuzzy-Random Approach

Mohamad Syazwan Zafwan bin Mohamad Suffian, Syahiir Kamil, Ahmad Kamal Ariffin, Abdul Hadi Azman, Israr M. Ibrahim, Kazuhiro Suga

Article 50
Advancing Breast Cancer Detection: A Comparison of PCA and LDA Methods in Analyzing Ultrasound Imagery

Najeeb Saiyed, MVV Prasad Kantipudi

125
Comparative Study on Automated Reference Summary Generation using BERT Models and ROUGE Score Assessment

Nattapong Sanchan

Article 26
COSHAP: An Explainable AI Framework Integrating Conformal Prediction and SHAP for Uncertainty-Aware Consumer Segmentation

Marsani Asfi, Budi Warsito, Adi Wibowo

213
Earthquake Early Warning Using Multi-Channels Echo State Extreme Learning Machine

Phiphat Chomchit, Somrawee Aramkul, Yuthapong Somchit, Paskorn Champrasert

139
Energy-Efficient Scheduling and Control of Aluminum Melting Processes Using Genetic Algorithms and Reinforcement Learning

Kraiwitch Pawadee, Narongdech Keeratipranon

205
Genomic Data Fusion using Paillier Cryptosystem

Shobha P., Nalini N.

Article 57
Identification of Important Factors in the Diagnosis of Breast Cancer Cells Using Machine Learning Models and Principal Component Analysis

Suejit Pechprasarn, Ohmthong Wattanapermpool, Maninya Warunlawan, Pornchaya Homsud, Thumpussorn Akarajarasroj

642-656
Optimizing Chronic Kidney Disease Prediction: A Machine Learning Approach with Minimal Diagnostic Predictors

Suejit Pechprasarn, Peeraya Wetchasit, Suphornthip Pongsuwan

76
Predicting Parkinson's Disease Severity using Telemonitoring Data and Machine Learning Models: A Principal Component Analysis-based Approach for Remote Healthcare Services during COVID-19 Pandemic

Suejit Pechprasarn, Lalita Manavibool, Nanticha Supmool, Naravin Vechpanich, Phattranij Meepadung

465-485
Predictive Analysis of COVID-19 Epidemic in Thailand: Evaluating Control Lockdown Measures using LSTM Networks

Rati Wongsathan, Isaravuth Seedadan

Article 29
Simulation-Based Evaluation of Reinforcement Learning-Enhanced Location-Aware Routing in Urban Vehicular Ad-hoc Networks (VANETs)

Arvind Kumar, Shobha Tyagi, Prashant Dixit, S.S. Tyagi

180
Thai Currency Classification Application for Visually Impaired Persons

Wiyada Yawai, Mongkol Saejia, Nuntiya Limsiroratana, Rujirawadee Thammasang

Article 64
Using Genetic Algorithms and Bézier Curves for Automatic Path Optimization of a 6-DOF Robot

Xuan-Vinh Nguyen, Ngoc-Lam Nguyen

Article 68
Visual Feature Refinement with MECNET for Gastrointestinal Cancer Classification

Ravi Kumar, Amritpal Singh, Aditya Khamparia

126

Trends	Sep, 2026	Total
Days to First Editorial Decision	6	12
Days to Accept	0	106
Days to Reject	3	16
Acceptance Rate	0	0.18
Rejection Rate	1	0.78
Desk Reject Rate	1	0.7
After Review Reject Rate	0	0.08

Computing (Computer Science; Computer Engineering) > Artificial Intelligence (AI)

All Items

A Data-Driven Framework for Diabetes Prediction: Machine Learning-Based Comparison of Invasive and Non-Invasive Screening

A Machine Learning Approach to Predicting Survival of Clinical AIDS Patients via Feature Selection Algorithms

A Reinforcement Learning–Guided Hybrid NSGA-II + ALNS Framework for Large-Scale Capacitated Transportation Optimization in Thai Sugarcane Logistics

A Study on Area Assessment of Psoriasis Lesions Using Image Augmentation and Deep Learning: Addressing the Lack of Thai Skin Disease Data

A Surrogate Model's Decision Tree Method Evaluation for Uncertainty Quantification on a Finite Element Structure via a Fuzzy-Random Approach

Advancing Breast Cancer Detection: A Comparison of PCA and LDA Methods in Analyzing Ultrasound Imagery

Comparative Study on Automated Reference Summary Generation using BERT Models and ROUGE Score Assessment

COSHAP: An Explainable AI Framework Integrating Conformal Prediction and SHAP for Uncertainty-Aware Consumer Segmentation

Earthquake Early Warning Using Multi-Channels Echo State Extreme Learning Machine

Energy-Efficient Scheduling and Control of Aluminum Melting Processes Using Genetic Algorithms and Reinforcement Learning

Genomic Data Fusion using Paillier Cryptosystem

Identification of Important Factors in the Diagnosis of Breast Cancer Cells Using Machine Learning Models and Principal Component Analysis

Optimizing Chronic Kidney Disease Prediction: A Machine Learning Approach with Minimal Diagnostic Predictors

Predicting Parkinson's Disease Severity using Telemonitoring Data and Machine Learning Models: A Principal Component Analysis-based Approach for Remote Healthcare Services during COVID-19 Pandemic

Predictive Analysis of COVID-19 Epidemic in Thailand: Evaluating Control Lockdown Measures using LSTM Networks

Simulation-Based Evaluation of Reinforcement Learning-Enhanced Location-Aware Routing in Urban Vehicular Ad-hoc Networks (VANETs)

Thai Currency Classification Application for Visually Impaired Persons

Using Genetic Algorithms and Bézier Curves for Automatic Path Optimization of a 6-DOF Robot

Visual Feature Refinement with MECNET for Gastrointestinal Cancer Classification

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