Solving Innovative Problems of Thrust Vector Control Based on Euler's Scientific Legacy

YA Sazonov, MA Mokhov, IV Gryaznova… - Civil Engineering …, 2023 - civilejournal.org
This study aims to develop an interdisciplinary approach to solving innovative thrust vector
control problems. The methodology involves the development of a working hypothesis about …

Resilient Electricity Load Forecasting Network with Collective Intelligence Predictor for Smart Cities

MH Bin Kamilin, S Yamaguchi - Electronics, 2024 - mdpi.com
Accurate electricity forecasting is essential for smart cities to maintain grid stability by
allocating resources in advance, ensuring better integration with renewable energies, and …

Refining the rheological characteristics of high drug loading ointment via SDS and machine learning

X Qian, K Wang, Y Ma, F Fang, X Meng, L Zhou, Y Pan… - Plos one, 2024 - journals.plos.org
This paper presents an optimized preparation process for external ointment using the
Definitive Screening Design (DSD) method. The ointment is a Traditional Chinese Medicine …

Data Quality in Edge Machine Learning: A State-of-the-Art Survey

MD Belgoumri, MR Bouadjenek, S Aryal… - arXiv preprint arXiv …, 2024 - arxiv.org
Data-driven Artificial Intelligence (AI) systems trained using Machine Learning (ML) are
shaping an ever-increasing (in size and importance) portion of our lives, including, but not …

Cloud data access governance and data security using distributed infrastructure with hybrid machine learning architectures

C Tamizshelvan, V Vijayalakshmi - Wireless Networks, 2024 - Springer
To address the concerns about security and privacy in cloud-based data storage, this study
proposes a unique approach to secure cloud-based data governance using hybrid machine …