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ORCID12th IAIT 2021: Bangkok, Thailand
- IAIT 2021: The 12th International Conference on Advances in Information Technology, Bangkok, Thailand, 29 June 2021 - 1 July 2021. ACM 2021, ISBN 978-1-4503-9012-5
- Tao Tao, David A. Plaisted:
Interactive Online Configurator via Boolean Satisfiability Modeling. 1:1-1:8 - Juthaporn Vipatpakpaiboon, Vasco Chibante Barroso, Khajonpong Akkarajitsakul:
Computing Resource Estimation by using Machine Learning Techniques for ALICE O2 Logging System. 2:1-2:7 - Pattana Anunphop, Prabhas Chongstitvatana:
Web Components Template Generation from Web Screenshot. 3:1-3:9 - Tawatchai Perdpunya, Siranee Nuchitprasitchai, Pudsadee Boonrawd:
Augmented Reality with Mask R-CNN (ARR-CNN) inspection for Intelligent Manufacturing. 4:1-4:7 - Tashfiq Rahman, Rohani Rohan
, Debajyoti Pal, Prasert Kanthamanon:
Human Factors in Cybersecurity: A Scoping Review. 5:1-5:11 - Raungrong Suleesathira:
Robust Adaptive Beamforming using Desired Signal Steering Vector Estimation and Variable Loading. 6:1-6:6 - Jari Hautamäki, Timo Hämäläinen:
A model of Cyber Threat Information Sharing with the Novel Network Topology. 7:1-7:10 - Monalisa Mandal:
Phytochemicals as potential inhibitors for novel coronavirus 2019-nCoV/SARS-CoV-2: a graph-based computational analysis. 8:1-8:6 - Naqibullah Vakili, Worarat Krathu, Nongnuch Laomaneerattanaporn:
Multi-Class Primary Morphology Lesions Classification Using Deep Convolutional Neural Network. 9:1-9:7 - Narongrit Waraporn, Vajirasak Vanijja, Montri Supattatham, Olarn Rojanapornpun, Nannapat Termsak, Piraporn Sirisawatvatana:
Urban Flood Management: Bangkok Survey. 10:1-10:8 - Kanlayanee Kaweesinsakul, Siranee Nuchitprasitchai, Joshua M. Pearce:
Open source disease analysis system of cactus by artificial intelligence and image processing. 11:1-11:7 - Nakorn Srinarong, Janjao Mongkolnavin:
A Development of Personality Recognition Model from Conversation Voice in Call Center Context. 12:1-12:5 - Huyen N. Nguyen, Caleb M. Trujillo, Kevin Wee, Kathleen A. Bowe:
Interactive Qualitative Data Visualization for Educational Assessment. 13:1-13:9 - Sarayut Thibhodee, Waraporn Viyanon:
An Application of Evaluation of Human Sketches using Deep Learning Technique. 14:1-14:7 - Surapon Riyana, Noppamas Riyana:
A Privacy Preservation Model for RFID Data-Collections is Highly Secure and More Efficient than LKC-Privacy. 15:1-15:11 - Thanit Hongpanarak, Janjao Mongkolnavin:
A Study of Relationship Between Music Streaming Behavior and Big Five Personality Traits of Spotify Users. 16:1-16:5 - Charlif Prapawit, Chinnapong Angsuchotmetee:
A Study of Effect of Architectural Design on Quality of Service of a Live Streaming Application with Multiple Endpoints over LTE Network. 17:1-17:6 - Niwan Wattanakitrungroj, Nichapat Pinpo, Sasiporn Tongman:
Sentiment Polarity Classification using Minimal Feature Vectors and Machine Learning Algorithms. 18:1-18:8 - Javid Hamdard, Worarat Krathu:
Afghanistan Vehicle Number Plate Detection and Recognition Using Image Processing and Convolutional Neural Networks. 19:1-19:8 - Kanittha Rungyaem, Kanjanapan Sukvichai, Teera Phatrapornnant:
The 3-dimensional Plant Organs Point Clouds Classification for the Phenotyping Application based on CNNs. 20:1-20:7 - Ming-Hsien Chuang, Kanjanapan Sukvichai:
Investigation of SIFT and ORB descriptors for Indoor Maps Fusion for the Multi-agent mobile robots. 21:1-21:6 - Stefan Hofbauer, Gerald Quirchmayr:
Assuring long-term operational resilience in a pandemic: Lessons learned from COVID-19. 22:1-22:9 - Subhadip Boral, Sumedha Dhar, Ashish Ghosh:
Unsupervised Segmentation of Non-Intersecting Manifolds. 23:1-23:7 - Surapon Riyana, Noppamas Riyana, Srikul Nanthachumphu:
Privacy Preservation Techniques for Sequential Data Releasing. 24:1-24:9 - Wikom Tosiri, Nutnaree Kleawsirikul, Patamawadee Leepaisomboon, Natnapat Gaviphatt, Hidetomo Sakaino, Peerapon Vateekul:
Precipitation Nowcasting Using Deep Learning on Radar Data Augmented with Satellite Data. 25:1-25:10 - Shafinul Haque, Andy Wei Liu, Serena Liu, Jonathan H. Chan:
Improving the Robustness of a Convolutional Neural Network with Out-of-Distribution Data Fine-Tuning and Image Preprocessing. 26:1-26:7 - Abnash Bassi, Anika Shenoy, Arjun Sharma, Hanna Sigurdson, Connor Glossop, Jonathan H. Chan:
Building Energy Consumption Forecasting: A Comparison of Gradient Boosting Models. 27:1-27:9 - Suthathip Maneewongvatana, Apilak Suntornacane:
Deep Learning for Bibliographic Catalogue Assisting System. 28:1-28:5 - Debasrita Chakraborty, Debayan Goswami, Ashish Ghosh, Jonathan H. Chan, Susmita Ghosh:
Learning from Others: A Data Driven Transfer Learning based Daily New COVID-19 Case Prediction in India using an Ensemble of LSTM-RNNs. 29:1-29:8 - Rajkumar Kannan, Sridhar Swaminathan, Chutiporn Anutariya, Vaishnavi Saravanan:
Exploiting Multilingual Neural Linguistic Representation for Sentiment Classification of Political Tweets in Code-mix Language. 30:1-30:5 - Phongsathorn Kittiworapanya, Kitsuchart Pasupa, Peter Auer:
Particle Size Estimation in Mixed Commercial Waste Images Using Deep Learning. 31:1-31:5 - Ngan V. T. Nguyen, Vung Pham, Tommy Dang:
HMaViz: Human-machine analytics for visual recommendation. 32:1-32:9 - Ngan V. T. Nguyen, Vinh The Nguyen, Tommy Dang:
Color blind: Can you sight? 33:1-33:5 - Tommy Dang, Huyen N. Nguyen, Ngan V. T. Nguyen:
VixLSTM: Visual Explainable LSTM for Multivariate Time Series. 34:1-34:5 - Nhat Le, Ngan V. T. Nguyen, Tommy Dang:
Real-time Sound Visualization via Multidimensional Clustering and Projections. 35:1-35:6 - Jake Gonzalez, Chau Pham, Afamefuna Umejiaku, Juanita Benjamin, Tommy Dang:
SkeletonVR: Educating Human Anatomy Through An Interactive Puzzle Assembly. 36:1-36:5 - Jake Gonzalez, Tommy Dang:
OutViz: Visualizing the Outliers of Multivariate Time Series. 37:1-37:5 - Afamefuna Umejiaku, Tommy Dang:
Visualising Developing Nations Health Records: Opportunities, Challenges and Research Agenda. 38:1-38:9 - Chau Pham, Tommy Dang:
Link Prediction for Biomedical Network. 39:1-39:5
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