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MS Word - 17.9 KB -
MD5: 5c00b7c9bcd7ab5b2963367bdc5dc9f3
This document provides the detailed procedures of data collection experiments. |
MS Word - 16.6 KB -
MD5: c345c5b7c2f01d3e455ba15af6dd794a
This document provides the detailed description of features and codes used in the dataset. Moreover, basic analytics is provided. |
MS Word - 15.6 KB -
MD5: 7244a2da4eb3ea836ce2bd95e1b0c0d5
This document provides a brief description of the dataset. Moreover, some basic statistics are provided. |
Tabular Data - 445.2 KB - 15 Variables, 4293 Observations - UNF:6:lyCwEcKr0X+UlM4jowdYUg==
iTCM generic dataset used in Buildsys 2019 paper. It does not contain the "hot (+3)" votes. |
Tabular Data - 35.5 KB - 15 Variables, 345 Observations - UNF:6:7CvbdJ7gVsJec9GQ0OOPww==
iTCM personal dataset1 used in Buildsys 2019 paper. It does not contain the "hot (+3)" votes. |
Tabular Data - 39.1 KB - 15 Variables, 380 Observations - UNF:6:vfg5oBbN7nFzWUXkrDeTtw==
iTCM personal dataset2 used in Buildsys 2019 paper. It does not contain the "hot (+3)" votes. |
Tabular Data - 34.9 KB - 15 Variables, 341 Observations - UNF:6:9tLbYHtqIxpqDC3swO5klw==
iTCM personal dataset3 used in Buildsys 2019 paper. It does not contain the "hot (+3)" votes. |
Apr 14, 2020
Appointment: Assistant Professor (Former) 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 -
Thermal Image Guided Upsampling
Python Source Code - 7.7 KB -
MD5: b95532745ea068a40b1242d695d92093
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