2,941 to 2,950 of 3,545 Results
Apr 14, 2020College of Computing and Data Science (CCDS)
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 13, 2020 - Plasmono-Atom on Fiber
Chan, Eng Aik; Adamo, Giorgio; Aljunid, Syed Abdullah; Ducloy, Martial; Zheludev, Nikolay; Wilkowski, David, 2020, "Experimental Data and Scripts", https://doi.org/10.21979/N9/VABS1C, DR-NTU (Data), V1
Data.zip contains the final data. Scripts.zip contains the analysis data. |
Apr 13, 2020Centre for Disruptive Photonic Technologies (CDPT)
This Dataverse contains the final data for the plasmono-atom interactions on a fiber tip. |
Apr 11, 2020School of Chemistry, Chemical Engineering and Biotechnology (CCEB)
Research topics: • Artificial photosynthesis • Photoredox catalysis to upcycle "waste" materials like plastics and biomass • Development of molecular and nanomaterial systems to produce solar fuels and chemicals |
Apr 11, 2020 - ZHANG Baile
Xue, Haoran, 2020, "Replication Data for: Observation of an acoustic octupole topological insulator", https://doi.org/10.21979/N9/94CPSE, DR-NTU (Data), V1
Experimental Data for: Observation of an acoustic octupole topological insulator |
Apr 9, 2020 - Li Gen
Li, Gen; Tan, Kang Hai; Fung, Tat Ching, 2020, "Replication Data for: Experimental study on CFRP-concrete dynamic debonding behaviour", https://doi.org/10.21979/N9/W5YKCA, DR-NTU (Data), V1, UNF:6:b7lUr5UQ1c3EJdke6jREZg== [fileUNF]
Raw data used in the experimental study of CFRP-concrete dynamic debonding behaviour |
Apr 8, 2020School of Chemistry, Chemical Engineering and Biotechnology (CCEB)
Research topics: • Novel bonding and structural paradigms • Stable version of transient species • Catalysis |
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... |
