Titlebook: Computational Science and Its Applications – ICCSA 2024; 24th International C Osvaldo Gervasi,Beniamino Murgante,Maria Noelia Fa Conference

evince

思想

Optimizing Cloud-Fog Workloads: A Budget Aware Dynamic Scheduling Solutionion time within the cloud service while considering network conditions and customer costs for service usage. Simulations and comparisons with existing scheduling approaches demonstrate that our proposed method delivers robust performance with significant cost savings for cloud users.

發(fā)炎

The Effectiveness of Using AutoML in Electricity Theft Detection: The Impact of Data Preprocessing a unbalanced datasets related to electricity theft and compare it with their performance after balancing the dataset using three different techniques - Random Oversampling, Synthetic Minority Oversampling Technique (SMOTE), and adaptive synthetic (ADASYN). After analyzing the results, the Random Over

有機體

exclusice

MPCD: An Algorithm for?Discovering Multilevel Prevalent Co-location Patterns from?Heterogeneous Distch algorithm and utilize a MC-hash structure to enhance the SPCP mining process. Our method is examined and compared with other two efficient methods on both simulated and real-world datasets. The results show that our proposed method not only effectively addresses the mentioned difficulties but als

埋伏

Leveraging Wav2Vec2.0 for Kazakh Speech Recognition: An Experimental Study.9 and a word error rate (WER) of 8.9 when tested against the test set of the Kazcorpus dataset. These findings may help create robustness in Automatic Speech Recognition (ASR) systems for Kazakh which could be used for various applications such as voice-activated assistants; speech-to-text translat

MOAN

Approach to?the?Formation and?Visualization of?the?Competency Profile of?the?Staff of?Organizations of the Applied Physics and Space Technologies department in Siberian Federal University are shown using their activity database. The results of the analysis of the profiles and the identified patterns are presented. The conclusion provides recommendations on the use of UVGA method for visualization

Ejaculate

會犯錯誤

A Novel Leak Localization Method for Water Pipeline Systems Based on Acoustic Emission Monitoring anand localize the leak position. Experimental validations on a real-world testbed demonstrate the effectiveness of the proposed method with a high level of accuracy. The proposed method exhibits superior accuracy in comparison to other methods.

oxidant