Graph neural network‐based attack prediction for communication‐based train control systems
Abstract The Advanced Persistent Threats (APTs) have emerged as one of the key security challenges to industrial control systems. APTs are complex multi‐step attacks, and they are naturally diverse and complex. Therefore, it is important to comprehend the behaviour of APT attackers and anticipate the upcoming attack actions.
Junyi Zhao+3 more
wiley +1 more source
A multi-task learning model for global soil moisture prediction based on adaptive weight allocation. [PDF]
Li Y, Liu H, Lv T.
europepmc +1 more source
Abstract Abnormalities in the heart's rhythm, known as arrhythmias, pose a significant threat to global health, often leading to severe cardiac conditions and sudden cardiac deaths. Therefore, early and accurate detection of arrhythmias is crucial for timely intervention and potentially life‐saving treatment.
Hasnain Ali Shah+4 more
wiley +1 more source
Establishing a periodic SM model with Fourier analysis for enhancing global soil moisture forecasting. [PDF]
Zhu J, Wang S, Li Q.
europepmc +1 more source
Abstract Data is the key element that runs the modern society. Large amounts of data are being released day by day as a result of many activities. The digital data is transferred through the Internet which may be vulnerable to attacks while transmitting. Especially, the medical data is observed to be of at most importance.
Rupa Ch+4 more
wiley +1 more source
High resistance fault detection in DC microgrid using Hilbert Huang transform and vector-based ensemble optimized LSTM networks. [PDF]
Kumar HKP+4 more
europepmc +1 more source
RJAN: Region‐based joint attention network for 3D shape recognition
Abstract As an essential field of multimedia and computer vision, 3D shape recognition has attracted much research attention in recent years. Multiview‐based approaches have demonstrated their superiority in generating effective 3D shape representations.
Yue Zhao+4 more
wiley +1 more source
Research on Storage Grain Temperature Prediction Method Based on FTA-CNN-SE-LSTM with Dual-Domain Data Augmentation and Deep Learning. [PDF]
Peng H, Zhu Y, Li Z.
europepmc +1 more source
Abstract Using sarcasm on social media platforms to express negative opinions towards a person or object has become increasingly common. However, detecting sarcasm in various forms of communication can be difficult due to conflicting sentiments. In this paper, we introduce a contrasting sentiment‐based model for multimodal sarcasm detection (CS4MSD ...
Yutao Chen, Shumin Shi, Heyan Huang
wiley +1 more source
An enhanced CNN with ResNet50 and LSTM deep learning forecasting model for climate change decision making. [PDF]
Elshewey AM, Jamjoom MM, Alkhammash EH.
europepmc +1 more source