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1,791 to 1,800 of 2,306 Results

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: 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...
Related Data for: Serotonin transporter gene polymorphisms and confidence in adult relationships affect the number of followed people on Instagram Aug 4, 2020 - Social and Affective Neuroscience Bonassi, Andrea; Gabrieli, Giulio; Esposito, Gianluca, 2020, "Related Data for: Serotonin transporter gene polymorphisms and confidence in adult relationships affect the number of followed people on Instagram", https://doi.org/10.21979/N9/Z15IJ0, DR-NTU (Data), V1, UNF:6:3sn/pziJLhZ4n2PnYD0Iuw== [fileUNF] Humans are inherently social beings, whose behaviours are regulated by multiple interactions between genetic predispositions and environmental influences. In-person social interactions represent the first means of sharing ideas and making comparisons with others. Nowadays, commun...
Replication data for: The MALICIOUS Framework: Embedding Backdoors into Tweakable Block Ciphers Aug 2, 2020 - Wang Haoyang Thomas Peyrin; Haoyang Wang, 2020, "Replication data for: The MALICIOUS Framework: Embedding Backdoors into Tweakable Block Ciphers", https://doi.org/10.21979/N9/X0P4YG, DR-NTU (Data), V1 Inserting backdoors in encryption algorithms has long seemed like a very interesting, yet difficult problem. Most attempts have been unsuccessful for symmetric-key primitives so far and it remains an open problem how to build such ciphers. In this work, we propose the MALICIOUS f...
Replication data for: Improved Meet-in-the-Middle Preimage Attacks against AES Hashing Modes Aug 2, 2020 - Wang Haoyang Zhenzhen Bao; Ling Ding; Jian Guo; Haoyang Wang; Wenying Zhang, 2020, "Replication data for: Improved Meet-in-the-Middle Preimage Attacks against AES Hashing Modes", https://doi.org/10.21979/N9/JYECIO, DR-NTU (Data), V1 Hashing modes are ways to convert a block cipher into a hash function, and those with AES as the underlying block cipher are referred to as AES hashing modes. Sasaki in 2011 introduced the first preimage attack against AES hashing modes with the AES block cipher reduced to 7 roun...
Replication Data for: Bilayer BaSnO3 thin film transistors on silicon substrates Aug 1, 2020 - Rohit Abraham John John, Rohit Abraham, 2020, "Replication Data for: Bilayer BaSnO3 thin film transistors on silicon substrates", https://doi.org/10.21979/N9/CORP8E, DR-NTU (Data), V1, UNF:6:6irMWBXNUmXxmlvuFf+nmQ== [fileUNF] Replication Data for: Bilayer BaSnO3 thin film transistors on silicon substrates. Origin files and raw data.
Replication Data for: Self Healable Neuromorphic Memtransistor Elements for Decentralized Sensory Signal Processing in Robotics Aug 1, 2020 - Rohit Abraham John John, Rohit Abraham, 2020, "Replication Data for: Self Healable Neuromorphic Memtransistor Elements for Decentralized Sensory Signal Processing in Robotics", https://doi.org/10.21979/N9/JOJALW, DR-NTU (Data), V1, UNF:6:YvvROubtDtRUO9zet4eauw== [fileUNF] Replication Data for: Self Healable Neuromorphic Memtransistor Elements for Decentralized Sensory Signal Processing in Robotics. Includes origin files and raw data sheets.

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: 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...

Related Data for: Serotonin transporter gene polymorphisms and confidence in adult relationships affect the number of followed people on Instagram

Aug 4, 2020 - Social and Affective Neuroscience

Bonassi, Andrea; Gabrieli, Giulio; Esposito, Gianluca, 2020, "Related Data for: Serotonin transporter gene polymorphisms and confidence in adult relationships affect the number of followed people on Instagram", https://doi.org/10.21979/N9/Z15IJ0, DR-NTU (Data), V1, UNF:6:3sn/pziJLhZ4n2PnYD0Iuw== [fileUNF]

Humans are inherently social beings, whose behaviours are regulated by multiple interactions between genetic predispositions and environmental influences. In-person social interactions represent the first means of sharing ideas and making comparisons with others. Nowadays, commun...

Replication data for: The MALICIOUS Framework: Embedding Backdoors into Tweakable Block Ciphers

Aug 2, 2020 - Wang Haoyang

Thomas Peyrin; Haoyang Wang, 2020, "Replication data for: The MALICIOUS Framework: Embedding Backdoors into Tweakable Block Ciphers", https://doi.org/10.21979/N9/X0P4YG, DR-NTU (Data), V1

Inserting backdoors in encryption algorithms has long seemed like a very interesting, yet difficult problem. Most attempts have been unsuccessful for symmetric-key primitives so far and it remains an open problem how to build such ciphers. In this work, we propose the MALICIOUS f...

Replication data for: Improved Meet-in-the-Middle Preimage Attacks against AES Hashing Modes

Aug 2, 2020 - Wang Haoyang

Zhenzhen Bao; Ling Ding; Jian Guo; Haoyang Wang; Wenying Zhang, 2020, "Replication data for: Improved Meet-in-the-Middle Preimage Attacks against AES Hashing Modes", https://doi.org/10.21979/N9/JYECIO, DR-NTU (Data), V1

Hashing modes are ways to convert a block cipher into a hash function, and those with AES as the underlying block cipher are referred to as AES hashing modes. Sasaki in 2011 introduced the first preimage attack against AES hashing modes with the AES block cipher reduced to 7 roun...

Replication Data for: Bilayer BaSnO3 thin film transistors on silicon substrates

Aug 1, 2020 - Rohit Abraham John

John, Rohit Abraham, 2020, "Replication Data for: Bilayer BaSnO3 thin film transistors on silicon substrates", https://doi.org/10.21979/N9/CORP8E, DR-NTU (Data), V1, UNF:6:6irMWBXNUmXxmlvuFf+nmQ== [fileUNF]

Replication Data for: Bilayer BaSnO3 thin film transistors on silicon substrates. Origin files and raw data.

Replication Data for: Self Healable Neuromorphic Memtransistor Elements for Decentralized Sensory Signal Processing in Robotics

Aug 1, 2020 - Rohit Abraham John

John, Rohit Abraham, 2020, "Replication Data for: Self Healable Neuromorphic Memtransistor Elements for Decentralized Sensory Signal Processing in Robotics", https://doi.org/10.21979/N9/JOJALW, DR-NTU (Data), V1, UNF:6:YvvROubtDtRUO9zet4eauw== [fileUNF]

Replication Data for: Self Healable Neuromorphic Memtransistor Elements for Decentralized Sensory Signal Processing in Robotics. Includes origin files and raw data sheets.

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