251 to 260 of 306 Results
May 27, 2020 - Software Reliability and Security Lab
Liu, Ye; Li, Yi; Lin, Shang-Wei, 2020, "Replication Data for: Towards Automated Verification of Smart Contract Fairness", https://doi.org/10.21979/N9/0BEVRT, DR-NTU (Data), V1
Software artifacts created for the paper titled "Towards Automated Verification of Smart Contract Fairness" accepted at FSE'20. |
May 27, 2020
Research data deposit for Yi Li's Software Reliability and Security (SRS) lab. |
May 12, 2020 - Wen Yonggang
Hu, Weizheng; Li, Jie; Zhu, Chenxiao; Zhang, Wei; Wen, Yonggang, 2020, "Related data for: Heterogeneous Transfer Learning for Thermal Comfort Modeling", https://doi.org/10.21979/N9/56MTEH, DR-NTU (Data), V2, UNF:6:PfZTy8hHFxpEL725OduxrA== [fileUNF]
These datasets are collected for the GBIC project to conduct research about indoor human thermal comfort. The GBIC research project proposes to develop online thermal comfort models via a deep-learning approach and apply them to behavioral studies to drive “greener, smarter and h... |
Apr 14, 2020
Research topics: • Fuzzy Machine Learning • Intelligent Control Systems • Evolving and Intelligent Systems • Data Stream Mining • Big Data Analytics • Real World Applications of Computational Intelligence |
Apr 6, 2020 - Teerawat Piriyatharawet
Piriyatharawet, Teerawat, 2020, "Thermal Image Guided Upsampling", https://doi.org/10.21979/N9/9JG8D3, DR-NTU (Data), V1, UNF:6:IuGM51Q8N4QLGePoc6I4EA== [fileUNF]
A low-resolution thermal imaging sensor becomes more affordable and is widely used in home applications. However, in order to understand detailed activities, a high-resolution thermal image is required. In this paper, we present an unsupervised deep learning framework for joint u... |
Apr 6, 2020
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Mar 3, 2020
Research topics: • Pattern recognition • Image processing • Biometric security |
Mar 3, 2020
Research topics: • Cloud Computing and Green Data Centre • Multimedia Computing and Communications • Machine Learning Systems and Applications |
Feb 20, 2020 - Zhang Hao
Zhang, Hao, 2020, "Ping Pong Cognitive Test", https://doi.org/10.21979/N9/BYHPL4, DR-NTU (Data), V1, UNF:6:fPeQc+N9s3uvQq0kgPGSWA== [fileUNF]
The questionnaire and cognitive test results of Ping Pong exergame experiments. |
