Results 171 to 180 of about 6,701,261 (238)

Cooperative Multi-source Data Trading

GLOBECOM 2024 - 2024 IEEE Global Communications Conference
In the era of big data, data trading significantly enhances data-driven technologies by facilitating data sharing. Despite the clear advantages often experienced by data users when incorporating multiple sources, the topic of multi-source data trading ...
Jin Cheng, Ningning Ding, John C. S. Lui, Jianwei Huang   +3 more
openaire   +2 more sources

The Survey on Multi-Source Data Fusion in Cyber-Physical-Social Systems: Foundational Infrastructure for Industrial Metaverses and Industries 5.0

Information Fusion
As the concept of Industries 5.0 develops, industrial metaverses are expected to operate in parallel with the actual industrial processes to offer ``Human-Centric"Safe, Secure, Sustainable, Sensitive, Service, and Smartness ``6S"manufacturing solutions ...
Xiao Wang, Yutong Wang, Jing Yang, Xiaofeng Jia, Lijun Li, Weiping Ding, Fei-Yue Wang   +6 more
semanticscholar   +3 more sources

Predicting Bus Passenger Flow and Prioritizing Influential Factors Using Multi-Source Data: Scaled Stacking Gradient Boosting Decision Trees

IEEE Transactions on Intelligent Transportation Systems, 2021
Accurate bus passenger flow prediction contributes to informed decisions and full utilization of transit supply. Passenger flow is affected by an extensive range of attributes featuring travel environment, which can be collected through multi-source ...
Weitiao Wu, Yisong Xia, Wenzhou Jin
semanticscholar   +3 more sources

Du-Bus: A Realtime Bus Waiting Time Estimation System Based On Multi-Source Data

IEEE transactions on intelligent transportation systems (Print), 2022
Realtime bus waiting time information is of great importance to the intelligent public transportation system and is beneficial for improving user satisfaction by online map services.
Yuecheng Rong, Zhimian Xu, J. Liu, Hao Liu, Jian Ding, Xuan Liu, Wei Luo, Chuanming Zhang, Jia Gao   +8 more
semanticscholar   +1 more source

Intelligent Edge-Enabled Efficient Multi-Source Data Fusion for Autonomous Surface Vehicles in Maritime Internet of Things

IEEE Transactions on Green Communications and Networking, 2022
With the rapid development of low-end Internet of Things (IoT) devices and shipborne sensors, efficient multi-source data fusion methods for autonomous surface vehicles (ASVs) have recently attracted significant research interest in intelligent edge ...
Ryan Wen Liu, Yu Guo, Jiangtian Nie, Qin Hu, Zehui Xiong, Han Yu, M. Guizani   +6 more
semanticscholar   +1 more source

Integrating Multi-Source Data for Rice Yield Prediction across China using Machine Learning and Deep Learning Approaches

, 2021
Timely and reliable yield prediction at a large scale is imperative and prerequisite to prevent climate risk and ensure food security, especially with climate change and increasing extreme climate events. In this study, integrating the publicly available
Juan Cao, Zhao Zhang, F. Tao, Liangliang Zhang, Yuchuan Luo, Jing Zhang, Jichong Han, Jun Xie   +7 more
semanticscholar   +1 more source

Multi-source heterogeneous data fusion

2018 International Conference on Artificial Intelligence and Big Data (ICAIBD), 2018
As the exponential growth of data in internet era, there comes the big data era. Big data fusion creates huge values that makes it a research hotspot. However, in big data era, data shows characters of large volume, velocity, veracity and especially variety which is also called heterogeneity.
Lili Zhang, Yuxiang Xie, Luan Xidao, Xin Zhang   +3 more
openaire   +1 more source

Soil carbon content prediction using multi-source data feature fusion of deep learning based on spectral and hyperspectral images.

Chemosphere, 2023
Visible near-infrared reflectance spectroscopy (VNIR) and hyperspectral images (HSI) have their respective advantages in soil carbon content prediction, and the effective fusion of VNIR and HSI is of great significance for improving the prediction ...
Xueying Li, Zongmin Li, Huimin Qiu, Guangyuan Chen, Pingping Fan   +4 more
semanticscholar   +1 more source

UnitedHuman: Harnessing Multi-Source Data for High-Resolution Human Generation

IEEE International Conference on Computer Vision, 2023
Human generation has achieved significant progress. Nonetheless, existing methods still struggle to synthesize specific regions such as faces and hands. We argue that the main reason is rooted in the training data. A holistic human dataset inevitably has
Jianglin Fu, Shikai Li, Yuming Jiang, Kwan-Yee Lin, Wayne Wu, Ziwei Liu   +5 more
semanticscholar   +1 more source

A TRNG exploiting multi-source physical data

Proceedings of the 6th ACM workshop on QoS and security for wireless and mobile networks, 2010
In recent years, the considerable progress of miniaturization and the consequent increase of the efficiency of digital circuits has allowed a great diffusion of the wireless sensor network technology. This has led to the growth of applications and protocols for applying these networks to several scenarios, such as the military one, where it is ...
Gaglio, V, DE PAOLA, Alessandra, ORTOLANI, Marco, LO RE, Giuseppe   +3 more
openaire   +2 more sources