Results 81 to 90 of about 46,695 (300)
Data-Efficient Training of Gaussian Process Regression Models for Indoor Visible Light Positioning
A data-efficient training method, namely Q-AL-GPR, is proposed for visible light positioning (VLP) systems with Gaussian process regression (GPR). The proposed method employs the methodology of active learning (AL) to progressively update the effective ...
Jie Wu +3 more
doaj +1 more source
Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long Short-Term Memory Networks
We introduce a data-driven forecasting method for high-dimensional chaotic systems using long short-term memory (LSTM) recurrent neural networks. The proposed LSTM neural networks perform inference of high-dimensional dynamical systems in their reduced ...
Byeon, Wonmin +4 more
core +1 more source
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source
Optimizing In-Place Density of Asphalt Pavements During Cold Weather Paving in Nebraska [PDF]
Late season paving is common and often performed in colder temperatures, which is the most challenging environment for attaining optimal in-place density/compaction The in-place density of asphalt pavement greatly affects the lifespan of the pavement. It
Haghshenas, Hamzeh, Rea, Robert C.
core +1 more source
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker +2 more
wiley +1 more source
Signal processing method in GPR
GPR ' de Altuzay Karmaşası Giderme Teknikleri Birçok GPR sisteminde parazit ve gürültü içeren girişimlerin varlığının saptanması arzulanır. Gömülü nesnelerden elde edilen yansıma sinyalleri, esas olarak yer altı homojen olmamalarından, düz veye pürüzlü zemin yüzeylerinden ve verci alıcı antenler arasında bağantı görevi gören kuvvetli dağınıklık ...
openaire +1 more source
A sequential sampling strategy for extreme event statistics in nonlinear dynamical systems
We develop a method for the evaluation of extreme event statistics associated with nonlinear dynamical systems, using a small number of samples. From an initial dataset of design points, we formulate a sequential strategy that provides the 'next-best ...
Mohamad, Mustafa A. +1 more
core +1 more source
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
Organic subsoil assessment using GPR method
In the design and realisation process of the linear objects it is extremely important to identify ground properties and specify the extent of the complexity of hydrogeological conditions. Aiming at detailed site identification as well as proper discontinuity and anomaly detection is impossible in the light of the point character of geotechnical ...
Mariola Konopko, Małgorzata Ewa Wysocka
openaire +1 more source
Adaptive Macroscopic Ensemble Allocation for Robot Teams Monitoring Spatiotemporal Processes
We propose an online, environment feedback‐driven macroscopic ensemble approach to adapt robot team task allocation in spatiotemporal environments by controlling robot populations rather than assigning individual robots, all while maintaining robust team performance even for small teams. Our simulation and experimental results show better or comparable
Victoria Edwards +2 more
wiley +1 more source

