A survey on indexing techniques for big data: taxonomy and performance evaluation
The explosive growth in volume, velocity, and diversity of data produced by mobile devices
and cloud applications has contributed to the abundance of data or 'big data.'Available …
and cloud applications has contributed to the abundance of data or 'big data.'Available …
[HTML][HTML] Veracity assessment of online data
Fake news, malicious rumors, fabricated reviews, generated images and videos, are today
spread at an unprecedented rate, making the task of manually assessing data veracity for …
spread at an unprecedented rate, making the task of manually assessing data veracity for …
Prediction of control parameters corresponding to in-flight particles in atmospheric plasma spray employing convolutional neural networks
Optimization of control parameters for plasma spraying process is of great importance in
thermal spray technology development. Engineers may limit themselves to local optimal …
thermal spray technology development. Engineers may limit themselves to local optimal …
Ocean image data augmentation in the USV virtual training scene
The rapid development of intelligent navigation drives the rapid accumulation of ocean data,
and the ocean science has entered the era of big data. However, the complexity and …
and the ocean science has entered the era of big data. However, the complexity and …
News event evolution model based on the reading willingness and modified TF-IDF formula
A Wen, W Lin, Y Ma, H Xie… - Journal of High Speed …, 2017 - content.iospress.com
In order to better demonstrate the evolution relationships between the events from
newswires and to improve the readability of the event evolution graphs, we propose an …
newswires and to improve the readability of the event evolution graphs, we propose an …
Cooperative multi-agent reinforcement learning with hierarchical relation graph under partial observability
Y Li, X Wang, J Wang, W Wang… - 2020 IEEE 32nd …, 2020 - ieeexplore.ieee.org
Cooperation among agents with partial observation is an important task in multi-agent
reinforcement learning (MARL), aiming to maximize a common reward. Most existing …
reinforcement learning (MARL), aiming to maximize a common reward. Most existing …
Propagation of social emotion in cyber space based on cognitive social psychology
X Wang, H Zhang - IEEE Access, 2016 - ieeexplore.ieee.org
This paper employs human cognitive process to analyze the cascade phenomena of
subjective Web knowledge. First, the cognitive sentiment calculation is summarized in three …
subjective Web knowledge. First, the cognitive sentiment calculation is summarized in three …
An effective veracity management for sentiment analysis in social media using crowdsourcing and multi‐set feature learning
AG Aruna, M Sangeetha - Concurrency and Computation …, 2023 - Wiley Online Library
Recent innovations of the Internet‐of‐Things (IoT) are facilitated the data processing to an
enormous scale. Nevertheless, the collected data are inherently uncertain because of noise …
enormous scale. Nevertheless, the collected data are inherently uncertain because of noise …
[图书][B] Unconventional Emergency Management Research
W Fan - 2024 - Springer
China's public safety and emergency management have received more and more attention
since the outbreak of SARS in 2003. The General Office of the State Council has set up a …
since the outbreak of SARS in 2003. The General Office of the State Council has set up a …
Sem: Adaptive staged experience access mechanism for reinforcement learning
Experience memory, which stores and replays experience from the past for off-policy
reinforcement learning (RL) agents, has become an essential component of cutting-edge …
reinforcement learning (RL) agents, has become an essential component of cutting-edge …