Results 191 to 200 of about 1,758,719 (322)

One-core neuron deep learning for time series prediction. [PDF]

Natl Sci Rev
Peng H, Chen P, Yang N, Aihara K, Liu R, Chen L.   +5 more
europepmc   +1 more source

Machine learning did not beat logistic regression in time series prediction for severe asthma exacerbations. [PDF]

Sci Rep, 2022
de Hond AAH, Kant IMJ, Honkoop PJ, Smith AD, Steyerberg EW, Sont JK.   +5 more
europepmc   +1 more source

An Examination of Aerosol Jet‐Printed Surface Roughness and its Impact on the Performance of High‐Frequency Electronics

Advanced Engineering Materials, EarlyView.
This study explores aerosol jet‐printed (AJP) surface roughness, its effects on the performance of microwave electronics, and its process contributors. First, an electromagnetic model is vetted for AJP's unique roughness signature. Simulations are built which show process‐induced roughness is as significant as conductor resistivity in driving microwave
Christopher Areias, Alkim Akyurtlu
wiley   +1 more source

A Reinforced, Event-Driven, and Attention-Based Convolution Spiking Neural Network for Multivariate Time Series Prediction. [PDF]

Biomimetics (Basel)
Li Y, Guan X, Yue W, Huang Y, Zhang B, Duan P.   +5 more
europepmc   +1 more source

A joint network of non-linear graph attention and temporal attraction force for geo-sensory time series prediction. [PDF]

Appl Intell (Dordr), 2022
Dong H, Han S, Pang J, Yu X.
europepmc   +1 more source

Geometry‐Based Scan Curve Analysis: Rapid Method for the Evaluation of Scan Strategies in Powder Bed Fusion

Advanced Engineering Materials, EarlyView.
This study presents rapid evaluation methods for scan strategies in powder bed fusion (PBF) of polymers with a NIR laser as an example for its application. It uses line buffer‐based calculations and point density fields to predict the performance of four different scan strategies. The methods show promising results in laser‐based PBF of polymer samples,
Simon Leupold, Michael Willeke, Alexander Sommereyns, Matthias Gehring, Parmar Yankit Dineshbhai, Nadine Stratmann, Anna Rosa Ziefuss, Sebastian‐Paul Kopp, Stephan Barcikowski, Michael Schmidt   +9 more
wiley   +1 more source

A Functional Wavelet–Kernel Approach for Time Series Prediction [PDF]

, 2006
Anestis Antoniadis, Efstathios Paparoditis, Theofanis Sapatinas   +2 more
openalex   +1 more source

Integrating D-S evidence theory and multiple deep learning frameworks for time series prediction of air quality. [PDF]

Sci Rep
Feng S, Tang L, Huang M, Wu Y.
europepmc   +1 more source

Large‐Scale Interlaboratory Study Along the Entire Process Chain of Laser Powder Bed Fusion: Bridging Variability, Standards, and Optimization across Metals and Polymers

Advanced Engineering Materials, EarlyView.
What happens when 32 labs join forces to study nanoparticle‐modified powders? A data‐driven journey through laser powder bed fusion—now openly accessible for the entire additive manufacturing community—is studied. Laser powder bed fusion is a cornerstone technology for additive manufacturing (AM) of metals and polymers, yet challenges in achieving ...
Ihsan Murat Kuşoğlu, Sunidhi Garg, Arvid Abel, Prasanna V. Balachandran, Stephan Barcikowski, Louis Becker, Jan-Simeon Bernsmann, Jonas Boseila, Christoph Broeckmann, Mert Coskun, Malte Dreyer, Mark East, Mark Easton, Nils Ellendt, Stan Gann, Bilal Gökce, Mareen Goßling, Joachim Greiner, Piotr Gruber, Moritz Grünewald, Kopila Gurung, Nick Hantke, Florian Hengsbach, Hannes Holländer, Brecht Van Hooreweder, Kay-Peter Hoyer, Yajiang Huang, Florian Huber, Olaf Kessler, Burçin Özbay Kısasöz, Stefan Kleszczynski, Ebubekir Koc, Tomasz Kurzynowski, Arno Kwade, Simon Leupold, Dongmei Liu, Felix Lomo, Arne Lüddecke, Gerrit A. Luinstra, David A. Mauchline, Fabian Meyer, Lars Meyer, Peter Middendorf, Stefan Nolte, Michał Olejarczyk, Ludger Overmeyer, Andrij Pich, Sebastian Platt, Felix Radtke, Roland Ramm, Silja-Katharina Rittinghaus, Richard Rothfelder, Johannes Rudloff, Mirko Schaper, Marie Luise Scheck, Johannes Henrich Schleifenbaum, Michael Schmidt, Jan T. Sehrt, Yvonne P. Shabanga, Alexander Sommereyns, Rabea Steuer, Layla Shams Tisha, Anastasiya Toenjes, Christopher Tuck, Adrian Vaghar, Bey Vrancken, Zhengze Wang, Sebastian Weber, Jan Wegner, Bai-Xiang Xu, Yangyiwei Yang, Duyao Zhang, Evgeny Zhuravlev, Anna R. Ziefuss   +73 more
wiley   +1 more source

Analysis of Fast Input Selection: Application in Time Series Prediction [PDF]

, 2006
Jarkko Tikka, Amaury Lendasse, Jaakko Hollmén   +2 more
openalex   +1 more source