921 to 930 of 3,555 Results
Jan 3, 2025 - HE Qiang
He, Qiang, 2025, "Skin-inspired flexible and printed iontronic sensor enables bimodal sensing of robot skin for machine-learning-assisted object recognition", https://doi.org/10.21979/N9/QA4MOH, DR-NTU (Data), V1
Corresponding data |
Jan 3, 2025 - S-Lab for Advanced Intelligence
Shao, Yidi; Loy, Chen Change; Dai, Bo, 2025, "Learning 3D Garment Animation from Trajectories of A Piece of Cloth", https://doi.org/10.21979/N9/4YSCML, DR-NTU (Data), V1
Garment animation is ubiquitous in various applications, such as virtual reality, gaming, and film producing. Recently, learning-based approaches obtain compelling performance in animating diverse garments under versatile scenarios. Nevertheless, to mimic the deformations of the... |
Jan 3, 2025 - S-Lab for Advanced Intelligence
Xu, Qianxiong; Long, Cheng; Li, Ziyue; Ruan, Sijie; Zhao, Rui; Li, Zhishuai, 2025, "KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy", https://doi.org/10.21979/N9/QH6QZN, DR-NTU (Data), V1
Sensors are commonly deployed to perceive the environment. However, due to the high cost, sensors are usually sparsely deployed. Kriging is the tailored task to infer the unobserved nodes (without sensors) using the observed nodes (with sensors). The essence of kriging task is tr... |
Dec 26, 2024 - Turtles All the Way Down
Peh, Yang Yu, 2024, "Turtle Museum Interview", https://doi.org/10.21979/N9/AEZPWE, DR-NTU (Data), V1
Oral history interviews with Connie Tan were conducted over a period of five months (March – July 2017), and the interview transcripts will be archived at Nanyang Technological University Library at the completion of our project. The video shown here reflects footage taken on Jun... |
Dec 26, 2024 - Turtles All the Way Down
Chen, Song-Chuan, 2024, "TAWD Project Introduction Video", https://doi.org/10.21979/N9/50YXQ1, DR-NTU (Data), V1
This is a video describing the idiom "Turtles all the way down" and the context for the project. |
Dec 26, 2024 - Narendra VISHWAKARMA
Premanand, Rithwik; Vishwakarma, Narendra; Singh, Ranjan; Madhukumar, A. S., 2024, "Related Data for: Multi-IRS Empowered Terahertz Wireless Communication over Generalized Fading", https://doi.org/10.21979/N9/QGSBJZ, DR-NTU (Data), V2
Intelligent reflecting surfaces (IRS) have emerged as a promising technology for addressing the inherent challenges associated with terahertz (THz) bands, thereby enhancing system performance and offering immense potential for future wireless systems. However, existing single and... |
Dec 23, 2024 - TAN Fangyi
Tan, Fangyi; Ke, Lin; Li, Tanghua; Jennifer, Quye-Sawyer; Peng, Dongju; Aw, Zihan; Wee, Shi Jun; Yeo, Jing Ying; Haigh, Ivan; Wang, Xianfeng; Lim, Joanne TY; Gopal, Anandh; Aung, Lin Thu; Teo, Jireh; Tan, Nurul Syafiqah; Mitchell, Andrew Paul; Sarkawi, Gina M.; Li, Xinnan; Tan, Nurul Syafiqah; Horton, Benjamin Peter; Meltzner, Aron J., 2024, "Replication Data for: Late Holocene relative sea-level records from coral microatolls in Singapore", https://doi.org/10.21979/N9/BRBZQC, DR-NTU (Data), V3, UNF:6:Y/mQpXuaSaafY01Ionjp/g== [fileUNF]
This dataset contains the supplementary files and data that were used to produce the Late Holocene relative sea-level record in the manuscript titled: "Late Holocene relative sea-level records from coral microatolls in Singapore". |
Dec 19, 2024 - Thomas TAN Caiwei
Tan, Thomas Caiwei; Wang, Kemeng; Srivastava, Yogesh Kumar; Ako, Rajour Tanyi; Bhaskaran, Madhu; Sriram, Sharath; Gu, Jianqiang; Singh, Ranjan, 2024, "Replication Data for: Nanometric Ge Films for Ultrafast Modulation of THz Waves with Flexible Metasurface", https://doi.org/10.21979/N9/5KZBBR, DR-NTU (Data), V1, UNF:6:3rAUTl8sl6YVq83zBrbYvw== [fileUNF]
Figure data for manuscript |
Dec 19, 2024 - JIA Ridong
Jia, Ridong; Tan, Yi Ji; Navaratna, Nikhil; Kumar, Abhishek; Singh, Ranjan, 2024, "Related Data for: Photonic Supercoupling in Silicon Topological Waveguides", https://doi.org/10.21979/N9/N2N3DF, DR-NTU (Data), V1, UNF:6:7ln8OskQ7vFmBzYAgG+SDw== [fileUNF]
Waveguide interconnect coupling control is essential for enhancing the chip density of photonic integrated circuits to incorporate a growing number of components. However, a critical engineering challenge is to achieve both strong waveguide isolation and efficient long-range coup... |
