Titlebook: Recent Challenges in Intelligent Information and Database Systems; 16th Asian Conferenc Ngoc Thanh Nguyen,Richard Chbeir,Krystian Wojtkiew

生命层

安抚

GEON

Duc Le,Bac Lethe group velocity is required; therefore, determination of accurate dispersion curves is invaluable. However, for complex materials, the wave speed is dependent on the propagation angle. From experimental observations of dispersion curves, measured using a two-dimensional Fourier transform, a syste

Indict

Rym Dakhli,Walid Barhouminitoring (SHM) allows to ensure in real-time that aircraft substructures can still perform their function. Among all the technologies used in SHM, the emission/reception of Lamb waves are very popular. Algorithms using Lamb waves for damage detection and localization already exist in the literature

Increment

Little

Efficient Deep Learning Method for Detection of Malware Attacks in Internet of Things Networks with a “SoftMax” activation function. The model is trained to detect Malware attacks within 2 ms and can also be installed in IoT devices with small memory, enabling better protection of IoT networks and patient privacy information.

FRONT

Mean-Square Consensus of Second-Order Multi-agent Systems with Semi-Markov Switching for Non-periodial state spaces. This paper proposes an effective consensus algorithm that adopts a dynamic event-triggering strategy to reduce the control frequency required for SMAS to achieve consensus under DoS attacks. We conduct both rigid theoretical analyses to show the performance of our algorithm and exte

GRAVE

组成

和平主义者

A Novel Approach for Medical E-Consent: Leveraging Language Models for Informed Consent Management medical history; and 3) semantic reasoning integration into healthcare system information using knowledge graphs and ontologies. The overarching architectural objective of our proposal is to ensure a well-informed, adaptable, and legally valid consent process. Scenarios explaining the process based