Results 161 to 170 of about 68,591 (289)

Rock Mass Anomaly Detection with a Variational Autoencoder in Tunnel Boring Machine Data

Civil Engineering Design, EarlyView.
Abstract This study presents an unsupervised machine learning approach to rock mass anomaly detection in tunnel boring machine operational data using a Variational Autoencoder combined with bidirectional Long Short‐Term Memory cells. The model was trained on TBM data from the Brenner Base Tunnel project, with minor faults and geotechnically relevant ...
Mario Wölflingseder, Paul J. Unterlass, Thomas Marcher   +2 more
wiley   +1 more source

The dependence of children's generalization on episodic memory varies with age and level of abstraction. [PDF]

Nat Commun
Karjack S, Newcombe NS, Ngo CT.
europepmc   +1 more source

Episodic Action Memory for Real Objects: An ERP Investigation With Perform, Watch, and Imagine Action Encoding Tasks Versus a Non-Action Encoding Task [PDF]

, 2002
Ava J. Senkfor, Cyma Van Petten, Marta Kutas   +2 more
openalex   +1 more source

Studying the Outcomes and Mechanisms of Carbocationic Rearrangements Using Algorithm‐Augmented Experimentation

ChemistryEurope, EarlyView.
HopCat, a hybrid algorithm combining rule‐based transformations with quantum‐informed kinetics, can be applied to acid‐catalyzed terpenoid rearrangements. In synergy with human chemists and nuclear magnetic resonance analysis, it facilitates product assignment, candidate selection, and reconstruction of complex mechanistic pathways.
Louis P. J.‐L. Gadina, Sebastian Baś, Ahmad Makkawi, Yasemin Bilgi‐Gadina, Tomasz Klucznik, Wiktor Beker, Bartosz A. Grzybowski   +6 more
wiley   +1 more source

A Toaster in the Bathroom: Neural Correlates of Semantic Construction During Episodic Memory Recall. [PDF]

Hum Brain Mapp
Zoellner C, Heinen R, Klein N, Herweg NA, Merz CJ, Wolf OT.   +5 more
europepmc   +1 more source

Adsorption of 5G blue reactive dye using passion fruit pomace: Kinetics, ANN modelling, and process optimization

The Canadian Journal of Chemical Engineering, EarlyView.
Combination of ANN modelling and process optimization to achieve the maximum % dye removal. Abstract The present work reports on the use of artificial neural networks to predict the adsorption of 5G blue reactive dye (5GBRD) on yellow passion fruit pomace in a fixed‐bed process and the % dye removal optimization.
Maraísa Lopes de Menezes, Gracielle Johann, Nehemias Curvelo Pereira   +2 more
wiley   +1 more source

Failing to find context-dependency in perceptual implicit memory: evidence against an episodic view?

, 2000
Brian T. Crabb
openalex   +2 more sources

A unified model of spatial and episodic memory [PDF]

, 2002
Edmund T. Rolls, Simon M. Stringer, Thomas Trappenberg   +2 more
openalex   +1 more source

Harnessing Synergies between Combinatorial Microfluidics and Machine Learning for Chemistry, Biology, and Fluidic Design

Chemistry–Methods, EarlyView.
This review explores the synergy of combinatorial microfluidics and machine learning, highlighting their transformative impact on high‐throughput experimentation, closed‐loop reaction optimization, and autonomous platform development. Key applications in chemical synthesis, biological research, and microfluidic design are discussed, addressing ...
Suyash S. Damir, Julie Probst, Andrew deMello, Stavros Stavrakis   +3 more
wiley   +1 more source

From Correlation to Causation: Understanding Episodic Memory Networks. [PDF]

Neurosci Bull
Khan A, Liu J, Crespo-García M, Yuan K, Hu CP, Ren Z, Ti CE, Oathes DJ, Tong RK.   +8 more
europepmc   +1 more source