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Publication Year: 2025

241 to 250 of 287 Results

Verification of exponential law in cryptocurrency Feb 7, 2025 - Kelvin FOO Moo Chen Foo, Kelvin Moo Chen, 2025, "Verification of exponential law in cryptocurrency", https://doi.org/10.21979/N9/EQJBFQ, DR-NTU (Data), V1, UNF:6:zWxAiTkB/8qnPIO/4qTOBA== [fileUNF] Contains number of nodes, number of edges and average out-degree for Bitcoin, Ethereum, Iotex and Tezos month by month.
Anomaly detection for cryptocurrency Feb 7, 2025 - Kelvin FOO Moo Chen Foo, Kelvin Moo Chen, 2025, "Anomaly detection for cryptocurrency", https://doi.org/10.21979/N9/MRLOYJ, DR-NTU (Data), V1 Features used in unsupervised anomaly detection among influential wallet addresses of Bitcoin, Ethereum, Iotex and Tezos
First year trends and stats of cryptocurrency Feb 7, 2025 - Kelvin FOO Moo Chen Foo, Kelvin Moo Chen, 2025, "First year trends and stats of cryptocurrency", https://doi.org/10.21979/N9/CJJWDP, DR-NTU (Data), V1, UNF:6:xQb+v3BpMCuAAvh2du5rJQ== [fileUNF] Contains month-by-month and year-by-year statistics on number and volume of transactions, number of new wallet addresses as well as day-by-day statistics on number and volume of transactions for Bitcoin, Ethereum, Iotex and Tezos.
Ethereum degree distribution and influential players Feb 7, 2025 - Kelvin FOO Moo Chen Foo, Kelvin Moo Chen, 2025, "Ethereum degree distribution and influential players", https://doi.org/10.21979/N9/HG9V1I, DR-NTU (Data), V1, UNF:6:TSpLFe60X3KUge/mp7/qMw== [fileUNF] In-degree and out-degree distribution and most influential wallet addresses for Ethereum
Lotex degree distribution and influential players Feb 7, 2025 - Kelvin FOO Moo Chen Foo, Kelvin Moo Chen, 2025, "Lotex degree distribution and influential players", https://doi.org/10.21979/N9/UBSBU6, DR-NTU (Data), V1, UNF:6:gOMU679pPqY5Xm1UeUiKOQ== [fileUNF] In-degree and out-degree distribution, influential players for Iotex.
GaussianAnything: Interactive Point Cloud Latent Diffusion for 3D Generation Feb 5, 2025 - S-Lab for Advanced Intelligence Lan, Yushi; Zhou, Shangchen; Lyu, Zhaoyang; Hong, Fangzhou; Yang, Shuai; Dai, Bo; Pan, Xingang; Loy, Chen Change, 2025, "GaussianAnything: Interactive Point Cloud Latent Diffusion for 3D Generation", https://doi.org/10.21979/N9/ZQ85KI, DR-NTU (Data), V1 While 3D content generation has advanced significantly, existing methods still face challenges with input formats, latent space design, and output representations. This paper introduces a novel 3D generation framework that addresses these challenges, offering scalable, high-quali...
Trajectory attention for fine-grained video motion control Feb 4, 2025 - S-Lab for Advanced Intelligence Xiao, Zeqi; Ouyang, Wenqi; Zhou, Yifan; Yang, Shuai; Yang, Lei; Si, Jianlou; Pan, Xingang, 2025, "Trajectory attention for fine-grained video motion control", https://doi.org/10.21979/N9/II0EM4, DR-NTU (Data), V1 Recent advancements in video generation have been greatly driven by video diffusion models, with camera motion control emerging as a crucial challenge in creating view-customized visual content. This paper introduces trajectory attention, a novel approach that performs attention...
Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration Feb 4, 2025 - S-Lab for Advanced Intelligence Liao, Kang; Yue, Zongsheng; Wang, Zhouxia; Loy, Chen Change, 2025, "Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration", https://doi.org/10.21979/N9/DMB2QK, DR-NTU (Data), V1 Although learning-based image restoration methods have made significant progress, they still struggle with limited generalization to real-world scenarios due to the substantial domain gap caused by training on synthetic data. Existing methods address this issue by improving data...
Related Data for: Peatland degradation: examining impacts on soil, plant diversity, forest structure, and biomass Feb 4, 2025 - Colton COLLINS Lawrence Edward Iolani Collins, Colton; Wardle, David; Cobb, Alexander; Sukri, Rahayu; Abdullah, Ariffin; Raczka, Nanette, 2025, "Related Data for: Peatland degradation: examining impacts on soil, plant diversity, forest structure, and biomass", https://doi.org/10.21979/N9/OW7EYT, DR-NTU (Data), V1, UNF:6:aTr2fUnM6DnQOCc5bYN6bw== [fileUNF] This dataset contains the field data and R code used to generate the figures, tables, and findings presented in the manuscript titled "Peatland degradation: examining impacts on soil, plant diversity, forest structure, and biomass."
Related Data for: No home-field advantage in the decomposition of leaf litter in the tropical peat forests of Brunei Darussalam Feb 4, 2025 - Colton COLLINS Lawrence Edward Iolani Collins, Colton; Wardle, David; Cobb, Alexander; Sukri, Rahayu; Eri, Jangarun, 2025, "Related Data for: No home-field advantage in the decomposition of leaf litter in the tropical peat forests of Brunei Darussalam", https://doi.org/10.21979/N9/BY1KCP, DR-NTU (Data), V1, UNF:6:poJs6HJw4vPy+YeZbI8WVQ== [fileUNF] This dataset contains the field data and R code used to generate the figures, tables, and findings presented in the manuscript titled "No home-field advantage in the decomposition of leaf litter in the tropical peat forests of Brunei Darussalam."

Verification of exponential law in cryptocurrency

Feb 7, 2025 - Kelvin FOO Moo Chen

Foo, Kelvin Moo Chen, 2025, "Verification of exponential law in cryptocurrency", https://doi.org/10.21979/N9/EQJBFQ, DR-NTU (Data), V1, UNF:6:zWxAiTkB/8qnPIO/4qTOBA== [fileUNF]

Contains number of nodes, number of edges and average out-degree for Bitcoin, Ethereum, Iotex and Tezos month by month.

Anomaly detection for cryptocurrency

Feb 7, 2025 - Kelvin FOO Moo Chen

Foo, Kelvin Moo Chen, 2025, "Anomaly detection for cryptocurrency", https://doi.org/10.21979/N9/MRLOYJ, DR-NTU (Data), V1

Features used in unsupervised anomaly detection among influential wallet addresses of Bitcoin, Ethereum, Iotex and Tezos

First year trends and stats of cryptocurrency

Feb 7, 2025 - Kelvin FOO Moo Chen

Foo, Kelvin Moo Chen, 2025, "First year trends and stats of cryptocurrency", https://doi.org/10.21979/N9/CJJWDP, DR-NTU (Data), V1, UNF:6:xQb+v3BpMCuAAvh2du5rJQ== [fileUNF]

Contains month-by-month and year-by-year statistics on number and volume of transactions, number of new wallet addresses as well as day-by-day statistics on number and volume of transactions for Bitcoin, Ethereum, Iotex and Tezos.

Ethereum degree distribution and influential players

Feb 7, 2025 - Kelvin FOO Moo Chen

Foo, Kelvin Moo Chen, 2025, "Ethereum degree distribution and influential players", https://doi.org/10.21979/N9/HG9V1I, DR-NTU (Data), V1, UNF:6:TSpLFe60X3KUge/mp7/qMw== [fileUNF]

In-degree and out-degree distribution and most influential wallet addresses for Ethereum

Lotex degree distribution and influential players

Feb 7, 2025 - Kelvin FOO Moo Chen

Foo, Kelvin Moo Chen, 2025, "Lotex degree distribution and influential players", https://doi.org/10.21979/N9/UBSBU6, DR-NTU (Data), V1, UNF:6:gOMU679pPqY5Xm1UeUiKOQ== [fileUNF]

In-degree and out-degree distribution, influential players for Iotex.

GaussianAnything: Interactive Point Cloud Latent Diffusion for 3D Generation

Feb 5, 2025 - S-Lab for Advanced Intelligence

Lan, Yushi; Zhou, Shangchen; Lyu, Zhaoyang; Hong, Fangzhou; Yang, Shuai; Dai, Bo; Pan, Xingang; Loy, Chen Change, 2025, "GaussianAnything: Interactive Point Cloud Latent Diffusion for 3D Generation", https://doi.org/10.21979/N9/ZQ85KI, DR-NTU (Data), V1

While 3D content generation has advanced significantly, existing methods still face challenges with input formats, latent space design, and output representations. This paper introduces a novel 3D generation framework that addresses these challenges, offering scalable, high-quali...

Trajectory attention for fine-grained video motion control

Feb 4, 2025 - S-Lab for Advanced Intelligence

Xiao, Zeqi; Ouyang, Wenqi; Zhou, Yifan; Yang, Shuai; Yang, Lei; Si, Jianlou; Pan, Xingang, 2025, "Trajectory attention for fine-grained video motion control", https://doi.org/10.21979/N9/II0EM4, DR-NTU (Data), V1

Recent advancements in video generation have been greatly driven by video diffusion models, with camera motion control emerging as a crucial challenge in creating view-customized visual content. This paper introduces trajectory attention, a novel approach that performs attention...

Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration

Feb 4, 2025 - S-Lab for Advanced Intelligence

Liao, Kang; Yue, Zongsheng; Wang, Zhouxia; Loy, Chen Change, 2025, "Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration", https://doi.org/10.21979/N9/DMB2QK, DR-NTU (Data), V1

Although learning-based image restoration methods have made significant progress, they still struggle with limited generalization to real-world scenarios due to the substantial domain gap caused by training on synthetic data. Existing methods address this issue by improving data...

Related Data for: Peatland degradation: examining impacts on soil, plant diversity, forest structure, and biomass

Feb 4, 2025 - Colton COLLINS Lawrence Edward Iolani

Collins, Colton; Wardle, David; Cobb, Alexander; Sukri, Rahayu; Abdullah, Ariffin; Raczka, Nanette, 2025, "Related Data for: Peatland degradation: examining impacts on soil, plant diversity, forest structure, and biomass", https://doi.org/10.21979/N9/OW7EYT, DR-NTU (Data), V1, UNF:6:aTr2fUnM6DnQOCc5bYN6bw== [fileUNF]

This dataset contains the field data and R code used to generate the figures, tables, and findings presented in the manuscript titled "Peatland degradation: examining impacts on soil, plant diversity, forest structure, and biomass."

Related Data for: No home-field advantage in the decomposition of leaf litter in the tropical peat forests of Brunei Darussalam

Feb 4, 2025 - Colton COLLINS Lawrence Edward Iolani

Collins, Colton; Wardle, David; Cobb, Alexander; Sukri, Rahayu; Eri, Jangarun, 2025, "Related Data for: No home-field advantage in the decomposition of leaf litter in the tropical peat forests of Brunei Darussalam", https://doi.org/10.21979/N9/BY1KCP, DR-NTU (Data), V1, UNF:6:poJs6HJw4vPy+YeZbI8WVQ== [fileUNF]

This dataset contains the field data and R code used to generate the figures, tables, and findings presented in the manuscript titled "No home-field advantage in the decomposition of leaf litter in the tropical peat forests of Brunei Darussalam."

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