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1 to 10 of 920 Results

Related files for: Halide Perovskite Quantum Dots Photosensitized-Amorphous Oxide Transistors for Multimodal Synapses Aug 14, 2020 - Subramanian Periyal Srilakshmi Subramanian Periyal Srilakshmi, 2020, "Related files for: Halide Perovskite Quantum Dots Photosensitized-Amorphous Oxide Transistors for Multimodal Synapses", https://doi.org/10.21979/N9/JFNION, DR-NTU (Data), V2 This dataset contains electrical and materials measurements for the analysis of the journal article titled "Halide Perovskite Quantum Dots Photosensitized-Amorphous Oxide Transistors for Multimodal Synapses"
Fully automatic CityGML-compliant city model derivation on demand(Nanyang Technological University) Aug 13, 2020Marius Erdt This dataverse hosts the data for the NRF funded project Fully automatic CityGML-compliant city model derivation on demand.
Liang Zhao-Xun(Nanyang Technological University) Aug 12, 2020School of Biological Sciences (SBS) Appointment: Associate Professor Research topics: • Molecular mechanism underlying bacterial pathogenesis and antibiotic resistance • Genomics-guided discovery of microbial natural products For more information, visit webpage.
Source code to generate LoD1 CityGML models from city area maps Aug 12, 2020 - Fully automatic CityGML-compliant city model derivation on demand Erdt, Marius; Zhang, Xingzi; Johan, Henry, 2020, "Source code to generate LoD1 CityGML models from city area maps", https://doi.org/10.21979/N9/FBWTIC, DR-NTU (Data), V2, UNF:6:zN4RTInDz93o+Dgg2Xk9oA== [fileUNF] Application source code to generate level of detail 1 models in CityGML format from an input image. In particular, the image has to be a city area map showing ground plans of buildings.
Source code and sample input CityGML models for automatic derivation of lower levels of detail Aug 11, 2020 - Fully automatic CityGML-compliant city model derivation on demand Erdt, Marius; Zhang, Xingzi; Johan, Henry, 2020, "Source code and sample input CityGML models for automatic derivation of lower levels of detail", https://doi.org/10.21979/N9/9IIGWX, DR-NTU (Data), V1 This dataset contains the source code for automatically creating lower levels of detail from a given CityGML building model. E.g. a level of detail 3 model can be reduced to level of detail 0, 1, or 2. Exemplary sample models are included as well.
Source code to generate a training dataset for text recognition of Singapore's city area names and block numbers Aug 11, 2020 - Fully automatic CityGML-compliant city model derivation on demand Erdt, Marius; Zhang, Xingzi; Johan, Henry, 2020, "Source code to generate a training dataset for text recognition of Singapore's city area names and block numbers", https://doi.org/10.21979/N9/5LJ3YC, DR-NTU (Data), V1 Source code for training a deep learning model to recognise hand written text in an image. In particular, the model recognises Singapore's city area names as well as HDB block numbers.
Replication Data for: "GenSlice: Generalized Semantic History Slicing" Aug 7, 2020 - Software Reliability and Security Lab Zhu, Chenguang; Li, Yi; Rubin, Julia; Chechik, Marsha, 2020, "Replication Data for: "GenSlice: Generalized Semantic History Slicing"", https://doi.org/10.21979/N9/LPHCUS, DR-NTU (Data), V1 This dataset contains the raw experiment data and replication package for the ICSME'20 paper: "GenSlice: Generalized Semantic History Slicing". The replication package is also available at: https://github.com/Chenguang-Zhu/icsme20-artifact (2020-08-06)
Replication Data for: Forming-Less Compliance-Free Multi-State Memristors as Synaptic Connections for Brain-Inspired Computing Aug 6, 2020 - Ng Si En, Timothy Ng, Timothy Si En, 2020, "Replication Data for: Forming-Less Compliance-Free Multi-State Memristors as Synaptic Connections for Brain-Inspired Computing", https://doi.org/10.21979/N9/YWTJBM, DR-NTU (Data), V3, UNF:6:RrJmBWPTzVxOHhkjk7DChA== [fileUNF] This dataset contains electrical and materials measurements for the analysis of the paper "Forming-Less Compliance-Free Multi-State Memristors as Synaptic Connections for Brain-Inspired Computing"
Related Data for: Machine Learning Estimation of users' Implicit and Explicit Aesthetic Judgments of Web-Pages Aug 6, 2020 - Social and Affective Neuroscience Esposito, Gianluca; Gabrieli, Giulio, 2019, "Related Data for: Machine Learning Estimation of users' Implicit and Explicit Aesthetic Judgments of Web-Pages", https://doi.org/10.21979/N9/YCDXNE, DR-NTU (Data), V2, UNF:6:OXjgBp2o1P5HHQM/zPdxYA== [fileUNF] The aesthetic appearance of websites can influence the perception of their usability, reliability, and trustworthiness. Several studies investigated the relationship between single aesthetic features and explicit aesthetic judgments, demonstrating the existence of attribution bia...
Subramanian Periyal Srilakshmi(Nanyang Technological University) Aug 6, 2020School of Materials Science and Engineering (MSE) Appointment: PhD student

Related files for: Halide Perovskite Quantum Dots Photosensitized-Amorphous Oxide Transistors for Multimodal Synapses

Aug 14, 2020 - Subramanian Periyal Srilakshmi

Subramanian Periyal Srilakshmi, 2020, "Related files for: Halide Perovskite Quantum Dots Photosensitized-Amorphous Oxide Transistors for Multimodal Synapses", https://doi.org/10.21979/N9/JFNION, DR-NTU (Data), V2

This dataset contains electrical and materials measurements for the analysis of the journal article titled "Halide Perovskite Quantum Dots Photosensitized-Amorphous Oxide Transistors for Multimodal Synapses"

Fully automatic CityGML-compliant city model derivation on demand(Nanyang Technological University)

Aug 13, 2020Marius Erdt

This dataverse hosts the data for the NRF funded project Fully automatic CityGML-compliant city model derivation on demand.

Liang Zhao-Xun(Nanyang Technological University)

Aug 12, 2020School of Biological Sciences (SBS)

Appointment: Associate Professor Research topics: • Molecular mechanism underlying bacterial pathogenesis and antibiotic resistance • Genomics-guided discovery of microbial natural products For more information, visit webpage.

Source code to generate LoD1 CityGML models from city area maps

Aug 12, 2020 - Fully automatic CityGML-compliant city model derivation on demand

Erdt, Marius; Zhang, Xingzi; Johan, Henry, 2020, "Source code to generate LoD1 CityGML models from city area maps", https://doi.org/10.21979/N9/FBWTIC, DR-NTU (Data), V2, UNF:6:zN4RTInDz93o+Dgg2Xk9oA== [fileUNF]

Application source code to generate level of detail 1 models in CityGML format from an input image. In particular, the image has to be a city area map showing ground plans of buildings.

Source code and sample input CityGML models for automatic derivation of lower levels of detail

Aug 11, 2020 - Fully automatic CityGML-compliant city model derivation on demand

Erdt, Marius; Zhang, Xingzi; Johan, Henry, 2020, "Source code and sample input CityGML models for automatic derivation of lower levels of detail", https://doi.org/10.21979/N9/9IIGWX, DR-NTU (Data), V1

This dataset contains the source code for automatically creating lower levels of detail from a given CityGML building model. E.g. a level of detail 3 model can be reduced to level of detail 0, 1, or 2. Exemplary sample models are included as well.

Source code to generate a training dataset for text recognition of Singapore's city area names and block numbers

Aug 11, 2020 - Fully automatic CityGML-compliant city model derivation on demand

Erdt, Marius; Zhang, Xingzi; Johan, Henry, 2020, "Source code to generate a training dataset for text recognition of Singapore's city area names and block numbers", https://doi.org/10.21979/N9/5LJ3YC, DR-NTU (Data), V1

Source code for training a deep learning model to recognise hand written text in an image. In particular, the model recognises Singapore's city area names as well as HDB block numbers.

Replication Data for: "GenSlice: Generalized Semantic History Slicing"

Aug 7, 2020 - Software Reliability and Security Lab

Zhu, Chenguang; Li, Yi; Rubin, Julia; Chechik, Marsha, 2020, "Replication Data for: "GenSlice: Generalized Semantic History Slicing"", https://doi.org/10.21979/N9/LPHCUS, DR-NTU (Data), V1

This dataset contains the raw experiment data and replication package for the ICSME'20 paper: "GenSlice: Generalized Semantic History Slicing". The replication package is also available at: https://github.com/Chenguang-Zhu/icsme20-artifact (2020-08-06)

Replication Data for: Forming-Less Compliance-Free Multi-State Memristors as Synaptic Connections for Brain-Inspired Computing

Aug 6, 2020 - Ng Si En, Timothy

Ng, Timothy Si En, 2020, "Replication Data for: Forming-Less Compliance-Free Multi-State Memristors as Synaptic Connections for Brain-Inspired Computing", https://doi.org/10.21979/N9/YWTJBM, DR-NTU (Data), V3, UNF:6:RrJmBWPTzVxOHhkjk7DChA== [fileUNF]

This dataset contains electrical and materials measurements for the analysis of the paper "Forming-Less Compliance-Free Multi-State Memristors as Synaptic Connections for Brain-Inspired Computing"

Related Data for: Machine Learning Estimation of users' Implicit and Explicit Aesthetic Judgments of Web-Pages

Aug 6, 2020 - Social and Affective Neuroscience

Esposito, Gianluca; Gabrieli, Giulio, 2019, "Related Data for: Machine Learning Estimation of users' Implicit and Explicit Aesthetic Judgments of Web-Pages", https://doi.org/10.21979/N9/YCDXNE, DR-NTU (Data), V2, UNF:6:OXjgBp2o1P5HHQM/zPdxYA== [fileUNF]

The aesthetic appearance of websites can influence the perception of their usability, reliability, and trustworthiness. Several studies investigated the relationship between single aesthetic features and explicit aesthetic judgments, demonstrating the existence of attribution bia...

Subramanian Periyal Srilakshmi(Nanyang Technological University)

Aug 6, 2020School of Materials Science and Engineering (MSE)

Appointment: PhD student

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