DCode

Conference Schedule

  • Home
  • Conference Schedule

Conference Schedule

JCSSE2021 Conference Join Zoom Meeting


Meeting Link: https://us02web.zoom.us/j/82794658265?pwd=bGZiNGVXd3dEN1ROY3FaNHhQRENqUT09
Meeting ID: 827 9465 8265
Passcode: 221752


30 JUN 2021

Time Title Speaker
09.00-16.00 A Beginner's Tutorial on Thai NLP from Scratch with LST20 Corpus Dr. Prachya Boonkwan, NECTEC
09.00-16.00 Deep learning for computer vision applications Dr.Thittaporn Ganokratana, KMUTT

1 JUL 2021

Time Title
8.45-9.15 MC invite General Chair (Professor Chidchanok Lursinsap) to report
General Chair (Professor Chidchanok Lursinsap) reports and invite the Master of Ceremony
(Rector of Thammasat University: Associate Professor Gesinee Witoonchart) to Open
The Master of Ceremony (Rector of Thammasat University: Associate Professor Gesinee Witoonchart) Open the conference
09.15-09.30 Take Group Photos
09.30-10.30 Keynote Speech
AI based e-Testing as a common yardstick for measuring human abilities
Prof. Maomi Ueno
Chair: Dr. Pokpong Songmuang, TU
10.30-10.45 Break #1
10.45-12.00 Algorithms & Optimization
Chair: Assoc.Prof.Dr. Yaowadee Temtanapat (TU)
and
Assoc. Prof. Dr. Suphakant Phimoltares (CU)
Facilitator: Taweewat Luangwiriya
Cloud Computing
Chair: Asst. Prof. Dr. Pinyo Taeprasartsit (SU)
and
Asst. Prof. Dr. Worawan Diaz Carballo (TU)
Facilitator: Kanyalag Phodong
10.45-11.00 COVID-19 Classification using DCNNs and Exploration Correlation using Canonical Correlation Analysis
(Rujira Jullapak and Tongjai Yampaka)
Transmission Sequencing to Improve LoRaWAN Performance
(Krit Wongwatthanaroek)
11.00-11.15 Maximizing the Generative Performance of Echo State Networks Using the Particle Swarm Optimization
(Kristsana Seepanomwan)
Epsilon: A Microservices based distributed scheduler for Kubernetes Cluster
(Alex Neo Jing Hui and Bu Sung Lee)
11.15-11.30 Quality Evaluation Method of 2D SLAM Map
(Natcha Cota et.al)
Next Generation Cloud Computing: Security, Privacy and Trust Issues from the System View
(Ron Bester and M Arif Khan)
11.30-11.45 Vertebrae Pose Segmentation based on Temporal Anisotropic Diffusion and Ensembled Gradient
(Podchara Klinwichit et.al)
Detecting Anomaly and Replacement Prediction for Rainfall Open Data in Thailand
(Intouch Prakaisak et.al)
11.45-12.00 ILM and Fovea Detection using Standard Deviation Profiling Method
(Mohamed Shahud Hussain et.al)
Mobile Applications vs. Chat-based Applications: A Comparative Study based on Academic Library Domain
(Watanee Jearanaiwongkul et.al)
12.00-13.30 Lunch
13.30-14.30 Keynote Speech
Towards robust Machine Learning models for grape ripeness assessment
Prof. Pedro Melo-Pinto
Chair: Assoc.Prof.Dr. Chutiporn Anutariya, AIT
14.30-14.45 Break #2
14.45-16.00 NLP
Chairs: Dr. Prachya Boonkwan (NECTEC)
and
Dr. Jaruwat Pailai (KU)
Facilitator: Rattapoom Kedtiwerasak
Image Processing
Chairs: Asst.Prof.Dr.Narumol Chumueng (MCRU)
and
Dr. Thittaporn Ganokratanaa (KMUTT)
Facilitator: Pannavich Khowrurk
14.45-15.00 Text Summarization for Thai Food Reviews using Simplified Sentiment Analysis
(Paitoon Porntrakoon et.al)
Combination Ultrasound and Mammography for Breast Cancer Classification using Deep Learning
(Orawan Chunhapran and Tongjai Yampaka)
15.00-15.15 Asynchronously Parallel Decoding For Automatic Speech Recognition Services
(Nattapong Kurpukdee et.al)
Smart Inventory Access Monitoring System (SIAMS) using Embedded System with Face Recognition
(Kanjana Eiamsaard et.al)
15.15-15.30 Classification of Abusive Thai Language Content in Social Media Using Deep Learning
(Ruangsung Wanasukapunt and Suphakant Phimoltares)
Incorporating Prior Scientific Knowledge Into Deep Learning for Precipitation Nowcasting on Radar Images
(Pattarapong Danpoonkij et.al)
15.30-15.45 Topic Modeling Enhancement using Word Embeddings
(Siriwat Limwattana and Santitham Prom-on)
Smart School Attendance System using Face Recognition with Near Optimal Imaging
(Kittipong Tapyou et.al)
15.45-16.00 Non-Functional Requirement Extraction by using Conceptual Graphs
(Taweewat Luangwiriya and Rachada Kongkachandra)
Detecting Facial Images in Public with and without Masks Using VGG and FR-TSVM Models
(Hangkai Wang and Chidchanok Lursinsap)

2 JUl 2021

Time Title
09.30-10.30 Keynote Speech
Intelligent Clinical Training during the COVID-19 Pandemic
Prof. Siriwan Suebnukarn
Chair: Assoc.Prof.Dr. Yaowadee Temtanapat, TU
10.30-10.45 Break #1
10.45-12.00 Game, VR
Chairs: Asst. Prof. Dr. Narit Nhuhom (MU)
and
Asst. Prof. Dr. Teeradaj Racharak (JAIST)
Facilitator: Taweewat Luangwiriya
Data Science and Predictive Models
Chair: Asst. Prof. Dr. Wasit Limprasert (TU)
and
‪Dr. Marut Buranarach‬ (NECTEC)
Facilitator: Kwanrutai Saclim
10.45-11.00 Guideline of Personalized Facial Makeup Using a Hierarchical Cascade Classifier
(Sasipa Panthuwadeethorn et.al)
Mass-ratio-variance based Outlier Factor
(Phichapop Changsakul et.al)
11.00-11.15 SEPBO: Trash separator bot VR game
(Thirada Theethum et.al)
Performance Measurement of Federated Learning on Imbalanced Data
(Pramote Sittijuk)
11.15-11.30 Musical Pitch Alphabets Generator using Haar-like Feature
(Kiratijuta Bhumichitr et.al)
Ontology for Blood Group Phenotyping and ABO Discrepancy Screening
(Areerat Trongratsameethong et.al)
11.30-11.45 A Development of Game-Based Learning in Virtual Reality for Fire Safety Training in Thailand
(Kodchaporn Satapanasatien et.al)
Evolving Compact Prediction Model for PM2.5 level of Chiang Mai using Multiobjective Multigene Symbolic Regression
(Prakarn Unachak and Prayat Puangjaktha)
11.45-12.00 Location-based Daily Human Activity Recognition using Hybrid Deep Learning Network
(Sakorn Mekruksavanich et.al)
Predicting Football Match Result Using Fusion-based Classification Models
(Chananyu Pipatchatchawal and Suphakant Phimoltares)
12.00-13.30 Lunch
13.30-14.45 Machine Learning
Chairs: Asst. Prof. Dr. Teeradaj Racharak (JAIST)
and
Dr. Sarun Gulyanon (TU)
Facilitator: Pannavich Khowrurk
IoT and Cybernetics
Chair: Dr. Konlakorn Wongpatikaseree (MU)
and
Dr. Nattapon Kumyaito (NU)
Facilitator: Rattapoom Kedtiwerasak
13.30-13.45 Hybrid Input-type Recurrent Neural Network Language Modeling for End-to-end Speech Recognition
(Phuttapong Sertsi et.al)
Performance Analysis in UAV-enabled Relay with NOMA under Nakagami-m Fading Considering Adaptive Power Splitting
(Nguyen Nhat et.al)
13.45-14.00 Implementing Machine Learning Methods for Ballpoint Pen Ink Classification based on Mass Spectrometry Data: Toward a Forensic Application
(Pirada Boonna et.al)
Physical Layer Security in Cognitive Radio Networks for IoT Using UAV With Reconfigurable Intelligent Surfaces
(Vo Van et.al)
14.00-14.15 Classification of Astronomical Objects in the Galaxy M81 using Machine Learning Techniques II. An Application of Clustering in Data Pre-processing
(Tapanapong Chuntama et.al)
IoT System Design For Agro-Tourism
(Thittaporn Ganokratanaa et.al)
14.15-14.30 Identification of Discriminative Features from Light Curves for Automatic Classification of Variable Stars
(Prapaporn Techa-Angkoon et.al)
Deep Index Price Forecasting in Steel Industry
(Thittaporn Ganokratanaa and Mahasak Ketcham)
14.30-14.45 Rapid Deployment of Ultra-Wideband Indoor Positioning System
(Phatham Loahavilai et.al)
14.45-15.30 Closing Ceremany

Select Your Color

RTL/LTR Option