Results 41 to 50 of about 35,156 (275)

Image1_An ensemble model for short-term wind power prediction based on EEMD-GRU-MC.TIF [PDF]

As a kind of clean and renewable energy, wind power is of great significance for alleviating energy crisis and environmental pollution. However, the strong randomness and large volatility of wind power bring great challenges to the dispatching and safe ...
Peilin Wang (4448401), Chengguo Su (14654342), Chaoyu Guo (17829953), Li Li (14993), Wenlin Yuan (46983)   +4 more
core   +1 more source

Strategie di controllo dell'oscillazione del carico per gru a torre [PDF]

, 2022
In questo elaborato è stato implementato il modello matematico delle gru a torre e del carico sospeso in Matlab/Simulink. Sono state analizzate strategie di controllo già note in ambiente scientifico e industriale applicate al caso specifico ...
Di Fiore, Raffaele
core  

Data flow of proposed GRU model. [PDF]

, 2022
Data flow of proposed GRU model.
Jawad-ur-Rehman Chughtai (14203336), Muhammad Muneeb (3244095), Irfan Ul Haq (9853260)   +2 more
core   +1 more source

Architecture of a GRU unit [59]. [PDF]

, 2022
Architecture of a GRU unit [59].
Darlington Mapiye (2833889), Vanessa M. Hayes (9311793), Vukosi Marivate (8456358), Mpho Mokoatle (12850753), Riana Bornman (5860628)   +4 more
core   +1 more source

GRU-Based Fusion Models for Enhanced Non-Invasive Blood Pressure Estimation from PPG Signals [PDF]

, 2023
The current study presents a novel, non-invasive method for estimating both systolic and diastolic blood pressure by combining photoplethysmogram (PPG) signals with physiological data, such as sex, age, weight, height, heart rate, and BMI, using two ...
ana rahma yuniarti (17455017), Syamsul Rizal (17454996)   +1 more
core   +1 more source

Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots

Advanced Robotics Research, EarlyView.
This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou, Zhiqiang Chen, Yuanbiao Ma, Zhiqiang Tang, Qianqian Wang   +4 more
wiley   +1 more source

دراسة إحصائية مقارنة للتنبؤ بإيرادات الموارد النفطية في جمهورية مصر العربية باستخدام نماذج الشبكات العصبية المتكررة [PDF]

Maǧallaẗ Al-Buḥūṯ Al-Mālīyyaẗ wa Al-Tiğāriyyaẗ
ملخص البحثيهدف هذا البحث إلى مقارنة كفاءة ودقة التنبؤ بإيرادات الموارد النفطية (ORR) باستخدام نماذج الشبكات العصبية المتكررة (RNN) مثل LSTM وGRU، بالإضافة إلى نماذج السلاسل الزمنية متعددة المتغيرات.
AHMED MOHAMED MOHEY ELDEEN AL HOSAFY
doaj   +1 more source

Diseño de una herramienta para la detección de fallos en sistemas multirrotores

Tecnología en Marcha, 2021
Los vehículos no tripulados (UAV) con multirrotores, cuentan con un sistema de control que se enfoca principalmente en buscar la estabilidad del vehículo durante el vuelo, sin embargo, no le permite detectar o prever cuando se presenta un fallo, y muchas
Dilan Andrey Loría-Quesada
doaj   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

A Study of Hybrid Renewable Energy Production Scenarios Using a Long Short-Term Memory Method. A Case Study of Göksun

Elektronika ir Elektrotechnika
The global demand for energy has increased exponentially over the years. To reduce the dominance of fossil fuels in energy production, there has been a shift towards energy production models based on renewable sources.
Habibe Karayigit, Aykan Bolukbasi, Kadir Abaci, Ali Akdagli   +3 more
doaj   +1 more source