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4,871 to 4,880 of 5,040 Results
buildsys_19_dataset_person1_345_no_3_thermal_index.tab
May 10, 2020 - Related data for: Heterogeneous Transfer Learning for Thermal Comfort Modeling
Tabular Data - 35.5 KB - 15 Variables, 345 Observations - UNF:6:7CvbdJ7gVsJec9GQ0OOPww==
Data
iTCM personal dataset1 used in Buildsys 2019 paper. It does not contain the "hot (+3)" votes.
buildsys_19_dataset_person2_380_no_3_thermal_index.tab
May 10, 2020 - Related data for: Heterogeneous Transfer Learning for Thermal Comfort Modeling
Tabular Data - 39.1 KB - 15 Variables, 380 Observations - UNF:6:vfg5oBbN7nFzWUXkrDeTtw==
Data
iTCM personal dataset2 used in Buildsys 2019 paper. It does not contain the "hot (+3)" votes.
buildsys_19_dataset_person3_341_no_3_thermal_index.tab
May 10, 2020 - Related data for: Heterogeneous Transfer Learning for Thermal Comfort Modeling
Tabular Data - 34.9 KB - 15 Variables, 341 Observations - UNF:6:9tLbYHtqIxpqDC3swO5klw==
Data
iTCM personal dataset3 used in Buildsys 2019 paper. It does not contain the "hot (+3)" votes.
Mahardhika Pratama(Nanyang Technological University)
Mahardhika Pratama logo
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
Thermal Image Guided Upsampling
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...
arch.py
Apr 6, 2020 - Thermal Image Guided Upsampling
Python Source Code - 7.7 KB - MD5: b95532745ea068a40b1242d695d92093
arch_v1.py
Apr 6, 2020 - Thermal Image Guided Upsampling
Python Source Code - 6.4 KB - MD5: 9e74acf36027e7aec3d775a097aad9fe
box_filter.py
Apr 6, 2020 - Thermal Image Guided Upsampling
Python Source Code - 973 B - MD5: 9b300ce59e2376ce4d334ff6c81c5b73
dataset.py
Apr 6, 2020 - Thermal Image Guided Upsampling
Python Source Code - 4.2 KB - MD5: 75168a4a7a38d05b72ead47d6507a223
predict.py
Apr 6, 2020 - Thermal Image Guided Upsampling
Python Source Code - 7.2 KB - MD5: a23364b8e85675c094d5716b4cfaaa65
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