41 to 50 of 223 Results
Jan 15, 2025 - S-Lab for Advanced Intelligence
Liu, Chenxi; Xu, Qianxiong; Miao, Hao; Yang, Sun; Zhang, Lingzheng; Long, Cheng; Li, Ziyue; Zhao, Rui, 2025, "TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment", https://doi.org/10.21979/N9/V1XDVB, DR-NTU (Data), V1
Multivariate time series forecasting (MTSF) aims to learn temporal dynamics among variables to forecast future time series. Existing statistical and deep learning-based methods suffer from limited learnable parameters and small-scale training data. Recently, large language models... |
Jan 10, 2025 - S-Lab for Advanced Intelligence
Kong, Jiayi; Song, Xurui; Huai, Shuo; Xu, Baixin; Luo, Jun; He, Ying, 2025, "Replication Data for: Do Not DeepFake Me: Privacy-Preserving Neural 3D Head Reconstruction Without Sensitive Images", https://doi.org/10.21979/N9/T3AGA8, DR-NTU (Data), V1
While 3D head reconstruction is widely used for modeling, existing neural reconstruction approaches rely on high-resolution multi-view images, posing notable privacy issues. Individuals are particularly sensitive to facial features, and facial image leakage can lead to many malic... |
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 - 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 2, 2024 - Narendra VISHWAKARMA
Premanand, Rithwik; Vishwakarma, Narendra; Singh, Ranjan; Madhukumar, A. S., 2024, "Related Data for: Intelligent Reflecting Surfaces-Assisted Hybrid THz/RF System Over Generalized Fading", https://doi.org/10.21979/N9/ZRTSHW, DR-NTU (Data), V1
This paper investigates a novel IRS-assisted hybrid framework that seamlessly combines both THz and radio frequency (RF) technologies using a selection combining (SC) scheme, thereby enhancing system reliability. The study incorporates the deterministic and statistical properties... |
Dec 2, 2024 - Narendra VISHWAKARMA
Sharma, Shubha; Ong, Jun Siang; Madhukumar, A. S., 2024, "Related Data for: Secure transmission for MIMO THz communication system", https://doi.org/10.21979/N9/KJKSBN, DR-NTU (Data), V1
This work focuses on achieving security in the terahertz (THz) band using a MIMO wiretap channel. The source employs transmit antenna selection (TAS), while the main user and eavesdropper use maximal ratio combining (MRC) with their respective antennas. Statistical characteristic... |
Dec 2, 2024 - Narendra VISHWAKARMA
Shubha, Sharma; Premanand, Rithwik; Vashistha, Ankush; Madhukumar, A. S., 2024, "Related Data for: IRS-assisted access link-based multihop THz communication", https://doi.org/10.21979/N9/N3YMHM, DR-NTU (Data), V1
This paper proposes an amplify-and-forward (AF) multihop terahertz (THz) backhaul communication system integrated with an intelligent reflecting surface (IRS)-assisted access THz link to address challenges in THz environments. The statistical analysis derives the probability dens... |
Nov 29, 2024 - Narendra VISHWAKARMA
Premanand, Rithwik; Sharma, Shubha; Vishwakarma, Narendra; Singh, Ranjan; Madhukumar, A. S., 2024, "Related Data for: Intelligent Reflecting Surfaces Empowered TeraHertz Wireless Communication: System Modeling and Performance Analysis", https://doi.org/10.21979/N9/X107KJ, DR-NTU (Data), V1
MATLAB source code the publication title: "Intelligent Reflecting Surfaces Empowered TeraHertz Wireless Communication: System Modeling and Performance Analysis" These code will produce the outage probability, Bit error rate, and ergodic capacity plots for the above paper |
Nov 29, 2024 - Narendra VISHWAKARMA
Premanand, Rithwik; Madhukumar, A. S.; Sharma, Shubha; Singh, Ranjan, 2024, "Related Data for: Performance Analysis of IRS-assisted Terahertz Communication System", https://doi.org/10.21979/N9/2A0HND, DR-NTU (Data), V1
In this paper, the performance of an IRS-assisted THz system, with N reflective elements, is systematically analyzed over the deterministic IRS channel gain, the THz path loss model, and the sum of independent and non-identically distributed (i.ni.d.) cascaded α−µ fading channels... |
