Titlebook: Intelligent Information Processing XII; 13th IFIP TC 12 Inte Zhongzhi Shi,Jim Torresen,Shengxiang Yang Conference proceedings 2024 IFIP Int

LUT

Fissure

Intelligent Information Processing XII978-3-031-57919-6Series ISSN 1868-4238 Series E-ISSN 1868-422X

幸福愉悅感

Early Anomaly Detection in?Hydraulic Pumps Based on?LSTM Traffic Prediction ModelConsequently, devising predictive methods for the main pump flow is crucial for early anomaly detection and efficient maintenance. This paper introduces a predictive method for hydraulic pump flow based on Long Short-Term Memory networks (LSTM), known for their robust handling of temporal data. Util

modest

Dynamic Parameter Estimation for?Mixtures of?Plackett-Luce Modelsenario, rank data often updates in real-time, e.g., when users perform operations, such as submitting or withdrawing rankings. This dynamic nature of rank data poses challenges for applying traditional algorithms. To address this issue, we propose parameter estimation algorithms tailored for structu

bile648

他日關稅重重

CLOWN

Utilizing Attention for?Continuous Human Action Recognition Based on?Multimodal Fusion of?Visual anderaction, action perception, and other fields. Currently, most of the work has achieved significant results by utilizing both visual and inertial sensor data, as well as deep learning methods. This method of integrating multimodal information makes the system more robust and adaptable to different e

原告

ciliary-body

CAPPIMU: A Composite Activities Dataset for?Human Activity Recognition Utilizing Plantar Pressure an However, the current public datasets for composite activities are limited in the variety of activities and the number of subjects they include, which hinders a thorough and complete assessment of activity identification methodologies. Regarding these problems, this paper proposes a publicly availab

CURL