Results 101 to 110 of about 27,643 (149)

Graph neural network‐based attack prediction for communication‐based train control systems

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
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

ECG‐TransCovNet: A hybrid transformer model for accurate arrhythmia detection using Electrocardiogram signals

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
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

Robust steganographic framework for securing sensitive healthcare data of telemedicine using convolutional neural network

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
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

RJAN: Region‐based joint attention network for 3D shape recognition

open access: yesCAAI Transactions on Intelligence Technology, Volume 10, Issue 2, Page 460-473, April 2025.
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

Which is more faithful, seeing or saying? Multimodal sarcasm detection exploiting contrasting sentiment knowledge

open access: yesCAAI Transactions on Intelligence Technology, Volume 10, Issue 2, Page 375-386, April 2025.
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

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