Results 211 to 220 of about 11,734,216 (296)

Development and Evaluation of Vibration Canceling System Utilizing Macro-Fiber Composites (MFCs) and Long Short-Term Memory (LSTM) Vibration Prediction AI Algorithms for Road Driving Vibrations. [PDF]

Materials (Basel)
Kim SU, Kim JY.
europepmc   +1 more source

Fault Diagnosis in an Induction‐Motor‐Driven Rotating Machinery Test Rig Under Unseen Operating Loads Using Multimodal Fusion and Multiagent Deep Reinforcement Learning

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Conventional fault‐diagnosis methods, largely grounded in one‐dimensional signal analysis and linear modeling, often fail to detect complex nonlinear faults in rotating machinery operating under variable loads. Data‐driven approaches also face challenges in extracting discriminative information from high‐dimensional multisensor measurements ...
Amirreza Marzband, Javad Poshtan
wiley   +1 more source

Dynamic Performance Enhancement of a High‐Agility Hypersonic Mechanical System via a Learning‐Augmented Robust Control Architecture

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT The design of control systems for high‐agility mechanical systems operating in extreme environments is a significant challenge in nonlinear dynamics. This paper addresses the complex dynamic control problem of a hypersonic interceptor, modeled as a multi‐input multi‐output (MIMO) mechanical system characterized by strong aerodynamic cross ...
Mohammad Mahdi Soori, Seyed Hossein Sadati   +1 more
wiley   +1 more source

Similarity‐Driven Framework for Efficient Polymer Property Prediction Under Data Scarcity Scenarios

Journal of Polymer Science, EarlyView.
A new approach, based on structural and chemical similarities between polymers, is proposed to improve the performance of artificial neural networks in predicting the glass transition temperature under data‐scarce conditions. ABSTRACT Predicting polymer properties directly from chemical structure is essential for the rational design of advanced ...
Amaia Elizaran Mendarte, Gustavo A. Schwartz   +1 more
wiley   +1 more source

Object‐based deep learning for probabilistic convective‐core nowcasting from satellite data

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Convective cores detected from Meteosat infrared imagery are represented as compact physical objects to generate probabilistic nowcasts up to 6 h ahead. A spatio‐temporal transformer models interactions among evolving core populations and produces gridded probability forecasts across the western Sahel.
Mendrika Rakotomanga, Douglas J. Parker, Nadhir Ben Rached, Seonaid R. Anderson, Cornelia Klein, Steven C. Wells   +5 more
wiley   +1 more source

Weibull Variational Autoencoder for Remaining Useful Life Prediction

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Remaining useful life (RUL) prediction is a critical technology for preventing unexpected failures and reducing maintenance costs in modern industrial systems. However, traditional model‐based approaches are limited by the need for explicit mathematical modeling of degradation mechanisms, while data‐driven methods often require large‐scale ...
JunWoo Yu, Yoojin Jang, Kwanghui Shin, Jinsoo Jeong, Yong Soo Kim   +4 more
wiley   +1 more source

High Precision Dimensional Measurement with Convolutional Neural Network and Bi-Directional Long Short-Term Memory (LSTM). [PDF]

Sensors (Basel), 2019
Wang Y, Chen Q, Ding M, Li J.
europepmc   +1 more source

Time Series Extrinsic Regression for Smart Agriculture: Field‐Level Crop Yield Prediction From Multisource Agricultural Time Series

Quality and Reliability Engineering International, EarlyView.
ABSTRACT The growing availability of temporal data in agriculture has created new opportunities for data‐driven decision support systems aimed at improving the efficiency, sustainability, and adaptability of agricultural systems. Remote sensing platforms, weather‐related datasets, and field‐management records provide information on crop development and
Amalia Vanacore, Armando Ciardiello, Gennaro Pio Auricchio, Luigi Uccello, Annalisa Izzo   +4 more
wiley   +1 more source

Role and Relevance of Data Analytics in Beverage and Brewing Industry

Quality and Reliability Engineering International, EarlyView.
ABSTRACT The digitalization of alcoholic‐beverage production has generated data‐rich environments, but the indexed literature does not clearly distinguish prediction‐oriented analytics from methods designed for continuous statistical process surveillance.
Erika Francesch‐Domenech, Ana Isabel Fernandez‐Calviño, Salvador Naya‐Fernández, Javier Tarrío‐Saavedra   +3 more
wiley   +1 more source