Program at a Glance
Friday August 25, 2023
Time | Events |
08.30 – 15.00 | Registration |
09.00 – 09.30 | Opening Ceremony Assoc. Prof. Tiranee Achalakul, Ph.D. President of Big Data Institute (Public Organization) |
09.30 – 10.15 | Keynote Session 1 Keynote Speaker: Asst. Prof. Phond Phunchongharn, Ph.D. Title: Exploring Thailand’s Data Business Ecosystem |
10.15 – 10.30 | Session Break |
10.30 – 12.00 | Keynote Session 2 Keynote Speaker: Title: Mastering Big Data Using a Logical Approach for Faster Analytics and Unified Insights |
12.00 – 13.30 | Lunch |
13.30 – 14.45 | Oral Session 1 |
13.30 – 13.45 | 1570900796: KNN and Naïve Bayes Algorithms for Improving Prediction of Indonesian Film Ratings Using Feature Selection Technique |
13.45 – 14.00 | 1570909096: Breast Cancer Prediction of Benign and Malignant Tumors by Classification Algorithms |
14.00 – 14.15 | 1570909121: An Integrated Approach for Sentiment Analysis and Topic Modeling of a Digital Bank in Indonesia Using Naïve Bayes and Latent Dirichlet Allocation Algorithms on Social Media Data |
14.15 – 14.30 | 1570909140: The Impact of COVID-19 on Volatility Spillover in Stock Exchange of Thailand |
14.45 – 15.00 | Session Break |
15.00 – 17.00 | Oral Session 2 |
15.00 – 15.15 | 1570908532: Deep Learning-Based Slip-Trip Falls and Near-Falls Prediction Model Using a Single Inertial Measurement Unit Sensor for Construction Workplace |
15.15 – 15.30 | 1570908844: Deep Reinforcement Learning Using a Multi-Scale Agent with a Normalized Reward Strategy for Automatic Cephalometric Landmark Detection |
15.30 – 15.45 | 1570908932: Implementation of the CNN-SVM Hybrid Model for Leukocoria Detection |
15.45 – 16.00 | 1570919711: Reinforcement Learning-Based Contention Window Adjustment for Wireless Body Area Networks |
16.00 – 16.15 | 1570919771: Generating Combination of Biblical Baby Names Using Recurrent Neural Network (RNN) and Optimization Comparison |
16.15 – 16.30 | 1570929340: The Online Communication as Mobility in City of Learning: Management of City Learning for Senior Citizen |
16.30 – 16.45 | 1570938816: Smart Technology Artificial Intelligence Robotics Algorithms (STARA) Awareness Companies in East Java Indonesia? |
18.00 – 21.00 | Banquet |
Saturday August 26, 2023
Time | Events |
08.30 – 15.00 | Registration |
09.00 – 09.40 | Keynote Session 3 Keynote Speaker: Mr. Niti Charoenkwanchai Title: The Democratization of Analytics - Scale the Impact of Analytics Across the Organization |
09.40 – 10.20 | Keynote Session 4 Keynote Speaker: Prachya Boonkwan, Ph.D. Title: ChatGPT and Business Opportunities |
10.20 – 10.30 | Session Break |
10.30 – 12.00 | Keynote Session 5 Keynote Speaker: Mr. Wittawin Waiyapat Title: Generative AI Update by Google |
12.00 – 13.30 | Lunch |
13.30 – 14.45 | Oral Session 3 |
13.30 – 13.45 | 1570908281: Data-To-Question Generation Using Deep Learning |
13.45 – 14.00 | 1570923898: Can Herd Mentality Be Negative? The Data Analysis |
14.00 – 14.15 | 1570929770: Classification and Prediction of Pineapple Quality Using Deep Learning |
14.15 – 14.30 | 1570930481: Masked Face Recognition Using Deep Learning Techniques |
14.45 – 15.00 | Session Break |
15.00 – 17.00 | Oral Session 4 |
15.00 – 15.15 | 1570907760: Analysis, Visualization and Interpretation of Determinants of Degree Program Selection of the Senior High School Graduates Utilizing Classification and Clustering Algorithms |
15.15 – 15.30 | 1570907935: Forecasting Air Passengers in Phuket, Thailand: An Application of Machine Learning Algorithms |
15.30 – 15.45 | 1570908889: Machine Learning Models for Micro-Bubble Image Detection in Mosquito Sprayer Quality Control: Addressing Class and Scale Imbalance |
15.45 – 16.00 | 1570918052: Real-Time Prediction of Free Lime in Cement Clinker Using Support Vector Machine Algorithm |
16.00 – 16.15 | 1570928150: Performance Analysis of TSP Training Instance Generation Methods in Policy-Based Hyper-Heuristic Optimization Framework |
Sunday August 27, 2023 (Online Session)
Time | Oral Session 5 | Oral Session 6 | Oral Session 7 |
09.00 – 09.15 | 1570909038: Student Individual Performance in Online Learning: Technology Adoption | 1570924843: A Machine Learning and Deep Learning Integrated Model to Detect Criminal Activities | 1570916305: Beans Disease Detection Using Convolutional Neural Network |
09.15 – 09.30 | 1570924864: Real-Time Self-Harm Detection Ensuring Safety in Every Moment | 1570924852: DeepCONVSVM: A Combining Model for the Detection of a Diseased Mango Leaf | 1570925258: Image Recognition of Different Tea Quality Based on Convolutional Neural Network |
09.30 – 09.45 | 1570925230: Comparison of Feasibility Between Machine Learning Algorithms in Terms of Predicting Energy Consumption of Smart Grid | 1570924853: Unmasking Ovary Tumors: Real-Time Detection with YOLOv5 | 1570928514: Deep Learning-Assisted Fracture Diagnosis: Real-Time Femur Fracture Diagnosis and Categorization |
09.45 – 10.00 | 1570925246: Data Security in Cloud Computing Using a Hybrid Algorithm Approach | 1570925222: Performance Evaluation of Intrusion Detection System Using Machine Learning and Deep Learning Algorithms | 1570929434: Deep Learning for Real-Time Leaf Disease Detection: Revolutionizing Apple Orchard Health |
10.00 – 10.15 | 1570925251: An Analysis of Bangla Tweets on Social Media Platform for Polarity Detection Using Machine Learning Algorithms | 1570928097: Improving EEG-Based Epileptic Seizures Detection Using Self-Normalizing Neural Network | 1570930768: Detecting Pneumonia from X-Ray Images of Chest Using Deep Convolutional Neural Network |
10.15 – 10.30 | 1570925458: Heart Disease Prediction Using Machine Learning Algorithms | 1570941642: Hybrid Firefly Algorithm with Rao Algorithm for Optimization Problems | 1570927889: Using Deep Learning Systems for Imaging Methods to Recognising Brain Tumors |
10.30 – 10.45 | 1570925732: DeepTestDroid: A Platform for Automated Application Testing Using Deep Learning | 1570946204: A Hybrid Deep Learning Neural Network for Recognizing Exercise Activity Using Inertial Sensor and Motion Capture System | 1570924627: Enhancing IoT Forensics Through Deep Learning: Investigating Cyber-Attacks and Analyzing Big Data for Improved Security Measures |